Nabin Khadka - ULisboa · Nabin Khadka Thesis to obtain Master of Science Degree in Electrical and...

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SOLAR MICROGRID CASE-STUDIES FOR TWO ELECTRIFICATION PROJECT SITES IN NEPAL Nabin Khadka Thesis to obtain Master of Science Degree in Electrical and Computer Engineering Supervisor(s): Prof. Paulo José da Costa Branco Prof. João Filipe Pereira Fernandes Examination Committee Chairperson: Prof. Rui Manuel Gameiro de Castro Supervisor(s): Prof. Paulo Jose da Costa Branco Members of Committee: Prof .Carlos Alberto Ferreira Fernandes December 2017

Transcript of Nabin Khadka - ULisboa · Nabin Khadka Thesis to obtain Master of Science Degree in Electrical and...

Page 1: Nabin Khadka - ULisboa · Nabin Khadka Thesis to obtain Master of Science Degree in Electrical and Computer Engineering Supervisor(s): Prof. Paulo José da Costa Branco Prof. João

SOLAR MICROGRID CASE-STUDIES FOR TWO

ELECTRIFICATION PROJECT SITES IN NEPAL

Nabin Khadka

Thesis to obtain Master of Science Degree in Electrical and Computer Engineering

Supervisor(s): Prof. Paulo José da Costa Branco

Prof. João Filipe Pereira Fernandes

Examination Committee

Chairperson: Prof. Rui Manuel Gameiro de Castro

Supervisor(s): Prof. Paulo Jose da Costa Branco

Members of Committee: Prof .Carlos Alberto Ferreira Fernandes

December 2017

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ABSTRACT

As data recorded in 2016 only seventy-six percent of people have access to Electricity in Nepal.[1] Out

of which fifteen percent of the rural population gets electricity from the off-grid renewable energy source

as of National census 2011. Providing access to electricity to a large chunk of rural populace in Nepal has

traditionally been a daunting exercise, because of its huge capital investment, geographic difficulties, lack

of proper infrastructure in development of hydropower project, and where decentralization generation is

only way to electrify, where extension of national grid makes no sense because of need of long transmission

lines for less power consumption in a rural village, off-grid renewable energy is likely to be the key for

reaching rural population which still lacks access to electricity.

The average global solar radiation in Nepal varies from 3.6-6.2 kWh/m²/day, the sun shines for about

300 days a year, the number of sunshine hours amounts almost 2100 hours per year and average insolation

intensity about 4.7 kWh/m²/day (=16.92 MJ/m²/day).[2] Thus, Nepal lies in a favorable insolation zone in

the world even though the data in Nepal was based on one year and few sites.[3] Basically this thesis

research will make a case study on two sites from different places in Nepal named Site A & B. Detail

Feasibility Study(DFS) has already been conducted for both sites by Government organization of Nepal

and all the information has been adapted to perform further research in this report. Simulation results in

MATLAB of Site A suggested that there is possibility of reducing price of major component by nearly 20

percent while number of hours in a year when battery completely drains increases from thirteen to fifty-

five in normal operating conditions as compared to DFS (Detail Feasibility Study) design. And in Case B

this study concludes that If wind turbines are replaced by Solar PV of equivalent capacity approximately

15000 kWh of excess energy is produced in a year, while component cost remains the same. The number

of hours when batteries is drained also can be reduced from six hundred ten to sixty-six with the autonomy

days of 2 in comparison to DFS (Detail Feasibility Study) design.

Study suggests solar microgrid system can be incorporated for decentralized generation of electricity in

the rural areas.There are always both challanges and opportunity in any project. Optimum utilization of

resources, performance of the Solar PVs and cost of energy storage system in any solar off-grid system is

always a challenge.

Keywords: Solar Microgrid, Rural Electrification, Fault in Solar PVs, Nepal

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RESUMO

De acordo com dados de 2016, apenas 76% da população no Nepal tem acesso à energia elétrica, [1].

Destes, 15% da população rural tem energia elétrica a partir de fontes de energia renováveis em sistemas

não ligados à rede (off-grid, na designação anglo-saxónica), de acordo com dados de censos nacionais. O

fornecimento de energia elétrica à população rural tem sido sempre um trabalho árduo, tendo em conta o

enorme investimento de capital necessário, as dificuldades de acesso, a falta de infraestruturas adequadas

para o desenvolvimento de projetos de sistemas hídricos. A geração descentralizada de energia é a única

alternativa para essas populações rurais carentes de eletricidade, dado que não faz sentido recorrer a uma

extensão da rede nacional que necessitaria de longas linhas de transmissão para satisfazer as necessidades

de pequenos aglomerados.

A radiação solar global média no Nepal varia entre 3,6 e 6,2 kWh/m2/dia. O sol brilha em média 300

dias por ano, o que equivale a cerca de 2100 horas anuais e a uma intensidade média de 4,7 kW/m2/dia, ou

cerca de 16,92 MJ/m2/dia. Deste modo, o Nepal insere-se numa zona de elevada intensidade solar.

Basicamente o presente trabalho fará o estudo de duas regiões do Nepal, que serão designadas neste trabalho

por região A e região B. Um estudo pormenorizado de viabilidade (DFS) foi já realizado pelo Governo e

toda a informação foi adaptada para a investigação feita neste documento. A simulação realizada recorrendo

ao MATLAB para a região A sugere que existe a possibilidade de reduzir os custos associados à utilização

dos componentes principais em cerca de 20%, se o número de horas anuais em que a bateria está

descarregada aumentar de treze para cinquenta e cinco em condições normais de funcionamento, quando

se compara com os valores associados a DFS. No que toca ao caso B, o estudo presente permite concluir

que se as turbinas eólicas forem substituídas por geradores solares fotovoltaicos de capacidade equivalente,

ter-se-á um excesso de cerca de 15000 kWh de energia anual, para idêntico custo. Neste caso, o número de

horas em que as bateria se encontram descarregadas pode ser reduzido de seiscentos e dez para sessenta e

seis para dois dias de autonomia, quando se compara com o projeto DFS.

O presente estudo para um sistema solar de micro-rede pode ser incorporado num sistema descentralizado

de geração de eletricidade em zonas rurais. Uma utilização adequada dos recursos, uma otimização do

desempenho de sistemas solares fotovoltaicos e uma redução de custos de armazenamento de sistemas

off-grid representam desafios reais, para cuja solução procurámos contribuir com a realização deste

trabalho.

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ACKNOWLEDGEMENTS

I would like to express my gratitude and appreciation to the supervisor of this work, Professor Paulo

Branco and Professor João Fernandes for giving me this opportunity, his guidance, persistence and

encouragement. It would not be possible without their contributions.

I am eternally grateful to Erasmus Mundus for financially supporting my studies for past two years.

I would like to express my deep gratitude to my Lab mate Mr. Dinesh Rai, my friend Mr. Manish Adhikari

for their continuous support and encouragement through my study and thesis preparation.

Also most importantly like to thank all my family, especially my mother, father and brother, and sister

for all the patience and support and a very special thanks to my Girlfriend Miss Reshma Chettri who gave

me strength, unfailing support and a reminder about the thesis every time lost the track.

Finally, to all my colleagues and friends who listened, advised and made their questions as mine

contributing to a better research.

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TABLE OF CONTENTS

Abstract ...................................................................................................................................................... i

Acknowledgements ................................................................................................................................... v

Table of Contents .................................................................................................................................... vii

List of Figures ........................................................................................................................................... ix

List of Tables ............................................................................................................................................. xi

List of Abbreviations ................................................................................................................................xiii

List of Symbols ......................................................................................................................................... xv

1. Introduction .................................................................................................................................. 1

1.1. Autonomous PV system- Actual Panorama –Global/Nepal .................................................. 3

1.2. Motivation and Problem definition ...................................................................................... 5

1.3. Objectives .............................................................................................................................. 6

1.4. Thesis Structure .................................................................................................................... 6

2. Solar Radiation, Angle Definition, and Measurement .................................................................. 9

2.1. Solar Radiation in Nepal ........................................................................................................ 9

2.2. Angle Description ................................................................................................................ 10

2.3. Solar Radiation Measurement in Nepal .............................................................................. 12

3. Autonomous Microgrids ............................................................................................................. 15

3.1. Microgrid System Constitutions .......................................................................................... 16

PV Panels ..................................................................................................................................... 16

Wind Generator (s) ...................................................................................................................... 18

Energy Storage System ................................................................................................................ 19

Inverter ........................................................................................................................................ 20

4. Case study of Nepal: Sites A and Site B ....................................................................................... 21

4.1. OFF-Grid System Site A – Chillikot (1.5 kWP) ..................................................................... 21

Electrical Consumption - Load Curve .......................................................................................... 22

Technical Configuration .............................................................................................................. 23

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Monthly Irradiance and Average Temperature in Chillikot ........................................................ 25

Simulation Results ....................................................................................................................... 26

Solar PV Generation .................................................................................................................... 26

The Battery State of Charge ........................................................................................................ 27

Solar PV Generation and battery state of charge during JULY .................................................... 29

Autonomy .................................................................................................................................... 31

Financial Analysis- Site A ............................................................................................................. 32

4.2. OFF-Grid System Site B – Bhorleni Solar-Wind Micro Grid (35.16kW) ............................... 34

Electrical Consumption - Load Curve .......................................................................................... 34

Technical Configuration .............................................................................................................. 35

Monthly Irradiation and Average Temperature in Bhorleni ....................................................... 37

Simulation Results ....................................................................................................................... 38

Generation from Solar/Wind ...................................................................................................... 38

The Battery State of Charge ........................................................................................................ 40

Solar PV Generation and battery state of charge during AUGUST ............................................. 41

Financial Analysis of Bhorleni – Case B ....................................................................................... 45

Original configuration: ................................................................................................................ 45

5. Non-Normal Operating Conditions ............................................................................................. 49

5.1. Effect of Partial Shading on Case Study B ........................................................................... 49

6. Conclusions and Future Work ..................................................................................................... 53

6.1. Conclusions ......................................................................................................................... 53

6.2. Future Works ...................................................................................................................... 53

7. References .................................................................................................................................. 55

8. Appendix ..................................................................................................................................... 59

8.1. PV Panel – Polycrystalline 250Wp – REC250 ...................................................................... 59

8.2. PV Panels- Mono Crystalline 280Wp – 280M .................................................................... 61

8.3. Solar Lead Acid Battery – Exide Industries 200 AH-12V,6LMS200L .................................. 63

8.4. Solar VRLA Gel Battery – Sacred Sun ,2V, 1000AH –GFMJ-1000AH ................................... 66

8.5. Wind Turbine - (5 KW) - Qingdao Anhua New Energy Equipment Co.Ltd. ......................... 68

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LIST OF FIGURES

Figure 1: Nepal and its surroundings [Source: Google map] 1

Figure 2: Nos. of autonomous PVs Systems installed (2006-2014)[11] 4

Figure 3: Price history of Silicon PV Cells[12] 5

Figure 4:Irradiation on a tilted surface [14] 9

Figure 5: Solar Radiation Map of Nepal[19] 11

Figure 6: Angles of the tilted surface [20] 11

Figure 7: Modern Pyranometer[21] 12

Figure 8: Pry heliometers [22] 12

Figure 9: Solar isolated Microgrid[25] 15

Figure 10: Hybrid Isolated Microgrid [26] 16

Figure 11: Polycrystalline Panel installed in a house of Nepal[13] 17

Figure 12: Wind Turbine farm[33] 18

Figure 13: Lithium ion Battery[34] 20

Figure 14: Lead Acid Battery[35] 20

Figure 15: Chillikot Village[36] 21

Figure 16: Daily Load profile 23

Figure17: Block diagram of Chillikot(Site-A) Solar Connection[23] 24

Figure 18: Energy produced per month by six panels under STC and NOCT 26

Figure 19: Energy produced per month by five panels under STC and NOCT 27

Figure 20: Battery state of charge during a typical year with six batteries 28

Figure 21: Battery state of charge during a typical year with four batteries 29

Figure 22: Battery state of charge in July (five panels & four Batteries) 30

Figure 23: Energy Production in July (five panels) 30

Figure 24: Energy, Load, SOC curve for three days 31

Figure 25: Bhorleni Village [38] 34

Figure 26: Daily Load profile 35

Figure 27: Block diagram of Site B Connection[23] 36

Figure 28: Solar and Wind Installed Capacity 37

Figure 29: Monthly Energy production from Solar PV and Wind Turbine 38

Figure 30: Monthly averaged production and Monthly average load. 39

Figure 31: Energy produced when wind turbines replaced by Solar PV 39

Figure 32: Battery State of charge with Solar and Wind turbines 40

Figure 33: Battery SOC when wind turbines replaced by Solar PVs. 41

Figure 34: Battery SOC during Aug with Solar and Wind 42

Figure 35: Battery SOC during Aug with wind turbines replaced by Solar PVs. 43

Figure 36: Energy from Solar and Wind during AUG. 44

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Figure 37: Energy from Solar replaced by Wind 45

Figure 38: Energy produced by Solar PVs at Normal operation conditions (DEC) 50

Figure 39: Energy produced by Solar PVs at Non-Normal operation conditions (DEC) 51

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LIST OF TABLES

Table 1: Site overview ............................................................................................................................... 2

Table 2: Load Appliances[36] .................................................................................................................. 22

Table 3: Load demand projection ........................................................................................................... 23

Table 4: Major Solar Microgrid component of Chillikot – Site A ............................................................. 24

Table 5: Monthly Metrological data- Site A ............................................................................................ 25

Table 6: Price quotation for original configuration ................................................................................. 32

Table 7: Price quotation for modified configuration .............................................................................. 33

Table 8: Major Solar Microgrid component of Bhorleni- Site B .............................................................. 36

Table 9: Monthly Metrological data- Site B ............................................................................................ 37

Table 10:Price quotation for original configuration ( Datasheet attached in Appendix 8.2) .................. 46

Table 11: Price quotation for modified configuration ............................................................................ 47

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LIST OF ABBREVIATIONS

AEPC – Alternative Energy Promotion Centre

AC – Alternating Current

AM1.5 –Air Mass 1.5

BMS – Battery Management System

CFL – Compact Fluorescent Lamps

CPV – Concentrated Photovoltaic’s

CRT – Cathode Ray Tube

CSP – Concentrated Solar Power

CV – Constant Voltage

DFS – Detail Feasibility Study

DC – Direct Current

D/G – Beam vs Diffuse Radiation Ratio

DIF – Diffuse Horizontal Irradiance/Irradiation

DOD – Depth of Discharge

DNI – Direct Normal Irradiance/Irradiation

EOT – Equation of Time

GoN – Government of Nepal

GHI – Global Horizontal Irradiance/Irradiation

IST – Instituto Superior Técnico

LED – Light-emitting Diodes

LFP - Lithium Iron Phosphate (LiFePO4)

LL – Local Longitude

MPPT – Maximum Power Point Tracking (or Tracker)

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NOCT – Normal Operating Cell Temperature

NRREP – National Rural and Renewable Energy Program

PV – Photovoltaic

PVGIS – Photovoltaic Geographical Information System

RERL– Renewable Energy for Rural Livelihood

SOC – State of Charge

STC – Standard Test Conditions

THD – Total Harmonic Distortion

UPS – Uninterruptible Power Supply

USD – Unites States Dollar

VRLA – Valve Regulated Lead Acid

Wp – Watt-peak

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LIST OF SYMBOLS

A – Amp

𝐴 – PV surface azimuth angle

𝐴𝑆 – Solar azimuth angle

𝐶 – Cell Capacity

𝐸𝐿𝑜𝑎𝑑𝑠 – Energy of the loads

𝐸𝑂𝑈𝑇 – Energy delivered (out)

𝐸𝑃𝑉 – Energy produced by the PV panels

𝐺 – Solar Irradiance

𝐺𝑏– Beam radiation

𝐺𝑏_ℎ𝑜𝑟𝑖𝑧 – Incident (beam) radiation component perpendicular to the ground horizontal plane

𝐺𝑏_𝑖𝑛𝑐𝑖𝑑𝑒𝑛𝑡– Maximum incident (beam) radiation

𝐺𝑏_𝑚𝑜𝑑𝑢𝑙𝑒– Module (beam) radiation or radiation incident on the tilted plane

𝐺𝑑 – Diffuse radiation

𝐺𝑔𝑙𝑜𝑏𝑎𝑙 – Global radiation

𝐺𝑟 – Reflected radiation

𝐻ℎ – Irradiation on horizontal plane

𝐻𝑖 – Solar Irradiation

LiFePO4 - Lithium Iron Phosphate

𝑚 – the diode ideality factor

𝑅 – Resistance

𝑆 – Incident radiation or sun ray vector

V – Volt

W – Watt

Wh – Watt-hour

𝑊𝐵𝑎𝑡,𝑇𝑜𝑡– Total energy of the batteries

𝛼 – Solar altitude or solar elevation angle

𝛽 – Surface inclination angle

𝛽𝑜𝑝𝑡 – Optimal inclination angle

𝜃𝑖 – Incidence angle

𝛿 – Declination angle

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𝜂𝐵𝐴𝑇 – Battery efficiency

𝜂𝐵𝑀𝑆 – BMS efficiency

𝜂𝑃𝑉 – PV panels efficiency

𝜂stc – PV panels efficiency at standard test conditions

𝜂𝑖𝑛𝑣 – Inverter efficiency

𝜂𝑙𝑜𝑠𝑠𝑒𝑠 – Cable losses factor

𝜂𝑠𝑦𝑠𝑡,𝑎𝑢𝑡– Autonomous/Off-grid system efficiency

𝜙 – latitude

𝜔 – hour angle

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1. INTRODUCTION

The Federal Democratic Republic of Nepal is a developing landlocked country in South East Asia. It is

bordered by China to the north and India to the south, east, and west. The Himalaya mountain range runs

across Nepal's northern and western parts and eight of the world's ten highest mountains, including Mount

Everest, are within its territory. The total area of Nepal is 147181 km² Nepal is located 27.33 degrees north

latitude & 85, 33 E longitude. The elevation of Nepal starts at 70m above sea level and ends with Mt.

Everest at 8848m. The map of Nepal and its surrounding is shown in figure 1.

Figure 1: Nepal and its surroundings [Source: Google map]

Nepal’s energy situation reflects its challenging terrain (over 75% mountainous) and very low-income

levels of the people. About 25% of Nepal’s 26.5 million people live below the poverty line, which varies

by region but averaged earning of 19,261 Nepali Rupee per year (or about € 0.71 per day) in the Fiscal year

2010/2011. The nation is among the poorest countries in the world, with per capita annual income of € 700

in Fiscal Year 2011/2012.[4]

Most of the energy in Nepal comes from fuelwood (68%), agricultural waste (15%), animal dung (8%),

and imported fossil fuels (8%). Except for some lignite deposits, Nepal has no known oil, gas or coal

deposits. All commercial fossil fuels (mainly oil and coal) are either imported from India or from

international markets routed through India and China. [5]

Most of the rural population that does have access to electricity, roughly a quarter get that power from

off-grid sources, while the other three quarters obtain access from the grid.[4]

Providing access to electricity to an outsized chunk of rural public in Nepal has historically been a

difficult exercise. This has been directly affected by geographical variations, poor transportability; low

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density settlements, poor energy development methods, lack of adequate capital and more on-going energy

crisis is also a major factor. Some study conducting objective assessment of the renewable energy based

off-grid energy sector in Nepal reveals despite visible progresses achieved, there still exist multiple

roadblocks to scale up particularly in remote areas where grid extension does not make sense because of

vast distance from transmission lines and low population in that particular areas.[6]

Alternative Energy Promotion Centre (AEPC) is the governmental institution promoting off-grid

renewable/alternative energy in Nepal under Ministry of Science, Technology, and Environment.

Alternative Energy Promotion Centre ( AEPC) is supported by Renewable Energy for Rural Livelihood

(RERL) to remove barriers for scaling up less disseminated larger renewable energy systems such as mini

hydro, large micro hydro and large solar PV. Renewable Energy for Rural Livelihood (RERL) provides

incremental support to AEPC by providing technical assistance for developing conducive policy

environment, demonstration of financially attractive projects, implementation of sustainable modalities and

capacity development.[7] Recently National Rural and Renewable Energy Program (NRREP) is looking

forward to investing in the potential Solar/Wind off-grid system for the rural village where NEA

electrification is no-way near or it's not available. AEPC has appointed a private consultant to perform

detail feasibility study for two sites and based on that report handed over to AEPC; this thesis work will

begin the work. The two sites are the given in table 1.

Table 1: Site overview

S.N. Name Size Households Type

1 Site A- Chillikot Village 1.5 kWp 15 Solar microgrid

2 Site B-Bhorleni Village 35.16 kW 120 Solar-Wind microgrid

This Master thesis is focused on the design and analysis of low-cost solutions assuming overall efficiency

of eighty-five percent for autonomous solar microgrid system for two cases. For each case, it will be

pointing out its technical problems, if there is a better solution mainly concerning the system cost, and also

the viability of the system focusing on the storage systems and energy production.

For all the cases there are various challenges that must be faced, especially for the project sites where

people have low income and are not aware of development factor that is driven by a reliable energy source.

In the other hand, the battery storage of the off-grid system holds good amount of cost in it, also it can

increase for high autonomy days where the electricity must be supplied even without enough available solar

energy. Therefore, optimization of the battery energy storage system can help lower the total cost of the

system if batteries that have high number of cycle (charging and discharging cycle) are selected (their cost

and size must be considered at the same time).

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1.1. AUTONOMOUS PV SYSTEM- ACTUAL PANORAMA –GLOBAL/NEPAL

The Sun is the largest source of energy. The conversion of the solar radiation can be used in CSP

(Concentrated Solar Power), CPV (Concentrated Photovoltaic’s) and electricity production (electrical).In

1954 Bell Labs found that silicon doped with certain impurities was very sensitive to light which gave birth

to the first solar modules that allowed a practical application and with an energy conversion efficiency

around 6% in the laboratory. Photovoltaic (PV) technology is an active solar system type based on the

photoelectric effect, converting photons of light into electrical energy through photovoltaic cells that form

a photovoltaic panel. Today the most renounced solar PV technologies are crystalline silicon-based systems.

Silicon terrestrial module efficiencies cells can reach 22.9% at Standard Test Conditions1 (STC) in the

laboratory [8]. Each cell generates a Direct Current (DC) power of about 1.5W (0.5V and a 3A current) and

the number of cells depends on the panel technology [4]. Photovoltaic modules power is usually between

50W and 315W. Normally, the durability is higher than 20 years, making this a very reliable source of

renewable energy.

The global PV capacity grew 49% a year on average since 2003. Decentralised systems represent

approximately 60% of the global market, while centralized systems are close to 40%. The share of off-grid

installations is very small compared to grid-tied, once grid-tied systems expanded in large scale from 2000

to 2013. However, like PV technologies in general off-grid systems are expanding, especially in developing

countries with high solar exposure [9][10].

As compared to global context Nepal is way behind the picture. The study suggests energy consumption

in the country from Renewable sources (Solar, Wind, and Biomass. Micro/Pico hydropower) accounts only

1 percent of total consumption.[3] However, recent development has significantly increased. As data

recorded by Alternative Energy Promotion Centre (AEPC) in 2006 only 4464 numbers of the autonomous

solar system (20Wp-50kWp) were installed while in 2014 number rose to astounding 103271 as illustrated

in figure 2. There was significant increase in a number of solar systems in urban areas because of the huge

Load shedding almost up to 12 hours in winter and 3 hours in summer until 2016. [11]

1 Cell temperature, 𝜃𝑟=25°𝐶≡𝑇𝑟=298.16 K; Incident radiation, 𝐺𝑟=1000 𝑊/𝑚2

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Figure 2: Nos. of autonomous PVs Systems installed (2006-2014)[11]

Price of Solar Photovoltaic’s are following a downtrend as an investment in photovoltaic’s is expanding.

In a standalone system, batteries represent the largest share of investment usually greater than 40%. The

photovoltaic panels constitute about 15-20% of the investment and the inverter another 20%. The remaining

stands for the control system and other costs. As price depends upon the geographical location, size of the

system, specification of the major component as well as the needs of the consumer, the price is hard to

define. A survey in system (<1 kW) price of off-grid sector irrespective of the type of application done by

International Energy Agency in 2013 reporting Europeans countries2 showed that price ranged from 2.7 to

20 USD/W.[9]

Renewable energy favorable policy, investment in technology as well as market forces has resulted in

the decline of the installed price of solar energy has declined in recent years significantly. As seen in figure

3 there is a massive drop in the price of Silicon PV cells in recent years. In 1977 price was as high of

76$/watt which dropped as low up to 0.3$/ watt peak. With solar already achieving record-low prices, the

cost decline observed in 2015 indicates that the coming years will likely see utility-scale solar become cost

competitive with conventional forms of electricity generation.

2Austria, Denmark, France, Italy, Spain, Sweden and Switzerland

0

20000

40000

60000

80000

100000

120000

2006 2007 2008 2009 2010 2011 2012 2013 2014

No

s. o

f So

lar

Syst

ems

Years

Nos. of Solar Systems installed from 2006 to 2014 (20Wp-50kWp)

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Figure 3: Price history of Silicon PV Cells[12]

Likewise, Nepal follows the similar trend in terms of global price. According to leading Solar Company

price for European brand mono-crystalline cells imported in 2010 had an average selling price of 1.8 $/watts

while in 2017 price dropped more than 50 percent to 0.8$/watts. Similarly for Chinese brand panels price

has also dropped by more than 50 percent hitting as low as 0.50$/watts. [13]

1.2. MOTIVATION AND PROBLEM DEFINITION

The research on the potential of Renewable energy suggests that Nepal itself is capable of supplying its

demand. Annual renewable energy potential is 226,460 GWh (UNDP, 2012)[6]. but the generation from

renewable energy is 3,851 GWh(UNDP,2012)[6].

The average global solar radiation in Nepal varies from 3.6-6.2 kWh/m2/day, the sun shines for about

300 days a year, the number of sunshine hours amounts almost 2100 hours per year and average insolation

intensity about 4.7 kWh/m2/day (=16.92 MJ/ m2/day) [6].Off-grid renewable energy in Nepal has proven

its ability to play a significant role in the country’s overall power provision. Hence, Nepal lies in the

favorable zone in terms of solar fuel resource.

Electrical Energy is an essential need for any developing country individual as well as electricity plays a

significant role in the day-to-day life of human being. Nepal is a landlocked country located in South-East

Asia where around 76% of its population is only electrified. The challenge to meet one hundred percent

electricity access is not only possible by National Electrical Utility. Hence, it is important to develop an

alternative way that can provide and reliable and low-cost power source in those places where electrification

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is not a profitable option. As discussed earlier Nepal has sufficient solar resources in this case of grid

Renewable microgrid system can be the likely alternative way to power up those places [4]. In this case,

Wind/Solar microgrid systems can meet the demands and have its own salient features.

The Nepal power grid is still limited, supplying only the big cities and some villages. Another problem

is the lack of adequate income to invest in the energy infrastructure One can tell seeing the recent trends

[5], that PV panels’ cost is going down and it will further go down as there are many research and investment

going on for not only higher efficient cells but also better batteries. Despite this, the cost of the battery

storage system is still today around 30-45 percent of total system cost. The cheap lead-acid batteries have

an average number of lifetime 500 cycles. In other words, it can work up to maximum 5 years. Of course,

this depends on the load profile, the geography where the system is implemented. we can introduce Battery

Management System (BMS) system for the better performance of the system. This is very important

because the electrical needs in developing countries are constantly growing which sets new horizons for

energy isolated systems.

1.3. OBJECTIVES

This thesis will study the technical and financial part of two solar microgrids associated with two

electrification project sites in Nepal. The main objectives of this thesis are:

• For each project site: systematization and analysis of the technical problems; analysis and

characterization of the consumers and its load curves; elaboration of different operating scenarios

and its impact on the energy storage systems, etc;

• Design and characterization of an autonomous low-cost solar microgrid for each project site. ;

• Simulation of the system for each project site with different operating scenarios and validation of

the selected equipment.;

• Simulation of fault conditions that can occur in the systems

1.4. THESIS STRUCTURE

The dissertation consists of 6 chapters, as follows:

Chapter 1 provides an introduction about the work, conditions of solar PV in Nepal, including motivation

and objective

Chapter 2 describes solar radiation in Nepal, general theory of angles present in Solar Radiation,

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Measurement of Solar radiation and its application in Nepal

Chapter 3 present the introduction of Autonomous Solar-microgrid, description about major components

in the microgrids system, especially in Nepalese Market.

Chapter 4 summaries the results of MATLAB simulation of both the Case study named A and B, i.e.

Energy production, Load profile, Battery SOC, the comparison between original and modified

configuration, a price quotation for recommended options. etc

Chapter 5 provides a general introduction to non-normal operating conditions of PVs and its effect in

the Case study of Chillikot.

Chapter 6 summarizes the conclusions and recommendations for the future work.

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2. SOLAR RADIATION, ANGLE DEFINITION, AND MEASUREMENT

2.1. SOLAR RADIATION IN NEPAL

Solar radiation is all of the light and energy that comes from the sun where sunlight is the part of the

electromagnetic radiation given off by the Sun. The incident solar power per unit area, 𝐺, is the solar

irradiance and is measured in 𝑊⁄𝑚2. Total irradiance on a tilted surface, Gglobal, is made up of three main

components. Direct or beam radiation, Gb, which is the radiation received directly from the sun. Diffuse

radiation, Gd, is the radiation that gets scattered throughout the atmosphere due to clouds and particles.

Reflected radiation, Gr, is the radiation reflected from the ground surface in front for the tilted surface.

These three radiations can be seen in figure 4

The sum of direct, diffused and reflected irradiance/irradiation is known as global irradiation as in

equation (2-1). Reflected irradiation is received only when the surface of PV is titled with respect to the

horizontal as illustrated in figure 4.

Figure 4:Irradiation on a tilted surface [14]

When the surface is tilted with reference to the horizontal plane there is a particular case of reflected

radiation 𝐺𝑟, which is the radiation, measured as ratio between the amount of reflected radiation and

received radiation. Global Insolation, Total Irradiance or Global Irradiance/Irradiation on a tilted surface is

the sum of direct and diffuse radiation that focus on a surface [15][16]

𝐺𝑔𝑙𝑜𝑏𝑎𝑙 = 𝐺𝑏 + 𝐺𝑑 + 𝐺𝑟 (2-1)

In this study, the Global irradiation is the most important parameter which will be used to simulate the

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Solar Energy production at a particular place.

Nepal is situated in between latitude 26°22′–30°27′ and longitude 80°4′–88°12′ which is a favourable

position for Solar Radiation. It is estimated that the average Global Solar Radiation (GSR) to this latitude

ranges from 3.6 to 6.2 kWh/m2/day, with over 300 bright sunny days per year and, the whole nation has

6.8 h/day of bright sunshine, with the average solar intensity of 4.7 kWh/day. [17] As seen in the figure 5

country receives plenty amount of Solar Radiation per day while Western part of the country receives more

resources than the eastern part of the Country. The black and blue mark shows the location of two cases

that are under study in this Thesis. The A research paper suggested a yearly Global Solar Radiation of

around 4218 MJ/m2 and 3555 MJ/m2 in 2005 and 2007 respectively in Kathmandu. [17]

2.2. ANGLE DESCRIPTION

One of the important angles that affects the production of solar energy produced by the panel is the angle

of incidence, 𝜃i, This is the angle between the sun rays and the normal to the PV panel surface, as shown in

the Figure 5.The optimal angle 𝛽𝑜𝑝𝑡, refers to the fixed module inclination angle at which PV modules

should be oriented in order to maximize power (annual mean value). This angle depends mainly on the

installation geographical position (latitude) due to the variation of the sun altitude angle (𝛼) in the sky

across the year. The solar azimuth angle 𝐴𝑆 is the angle between the horizontal projection of the sun vector

𝑆 and the north direction. The panel azimuth angle 𝐴, is the angle between the horizontal projection of the

normal to the panel 𝑁 and the north direction. Various angles for titled surface are shown in figure 6.

Commonly, most of the metrological stations measure solar irradiance data on the horizontal plane as

global and diffused irradiance, since most of the time when the Panels are tilted and data on inclined

surfaces are not available [16].The direct and reflected radiation can be computed with good accuracy using

simple algorithms but the diffuse component is more complex and has to be estimated with different models

requiring the information of global and direct radiation incident on a horizontal surface. The Solar radiation

map of Nepal is shown in figure 5 which shows western mountains has a higher intensity of radiation as

compared to eastern mountains. [15][16][18].

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Figure 5: Solar Radiation Map of Nepal[19]

Figure 6: Angles of the tilted surface [20]

𝑆 – Incident radiation or sun ray vector;

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𝜃i – Angle of incidence between the Sun rays and the normal to PV surface;

𝛽 – Angle of inclination of the surface from the horizontal;

𝛼 – Solar altitude or solar elevation angle;

𝐴 – PV surface azimuth angle.

2.3. SOLAR RADIATION MEASUREMENT IN NEPAL

The accurate measurement of Solar Radiation is very important to determine the energy that Solar Panels

are capable of producing at a given place and given time. In this study, Global radiation data (hourly,

monthly) is used from the metrological site. Normally, there are two types of equipment for measuring the

irradiation data: Pyranometers and Pyrheliometers as shown in figure 7 and 8.

Figure 7: Modern Pyranometer[21] Figure 8: Pry heliometers [22]

A pyranometer is a type of actinometer used for measuring irradiance on a planar surface and it is

designed to measure the solar radiation flux density (W/m2) from the hemisphere above within a

suitable wavelength range It measures the total irradiance (beam and diffuse) from all the hemisphere

(180º field of view) on a planar surface by a thermopile sensor. The sensor may be coupled to a shade disk,

ring or sphere that follows the position of the sun in the sky “blocking” the beam radiation.[23]

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Pyrheliometers are an instrument for measurement of direct beam solar irradiance.3 Sunlight enters the

instrument through a window and is directed onto a thermopile which converts heat to an electrical signal

that can be recorded. The signal voltage is converted via a formula to measure watts per square meter.[2] It

is used with a solar tracking system to keep the instrument aimed at the sun. Pyrheliometers are often used

in the same setup with a pyranometer. The aperture angle of the instrument is 5.7° so the detector receives

radiation from the sun and from an area of the circumsolar sky two orders of magnitude larger than that.[23]

In the context of Nepal, very few studies and experiments have been carried to measure Solar Radiations

and most of the time calculations of Solar PVs system are based on data obtained from the internet. This

thesis also intent to acquired required data from the internet since no any accurate measurement has not

been carried out in the exact location. Nevertheless, an experiment was carried out in a study by using

CMP6 Pyranometer in various place of Nepal and gave a discussion about the measured value and

calculated value. In the study, it was concluded that solar radiation was affected by varying seasons as well

as altitude. From the observation, the abundant solar irradiation in Nepal shows encouraging atmosphere

for the solar farming venture in near future relating to energy management for Nepal.[3]

3 http://www.kippzonen.com/?productgroup/881/Pyrheliometers.aspx

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3. AUTONOMOUS MICROGRIDS

The US Department of Energy states that A microgrid is a group of interconnected load and distributed

energy resources (DERs) within clearly defined electrical boundaries that acts as a single entity with respect

to the grid. A Microgrid can connect and disconnect from the grid to enable it to operate in both grid-

connected or island-mode[24]. This kind of system can be operated in a non-autonomous way as well as

autonomous way. If the system is interconnected to the grid it is operated in a non-autonomous way and if

the system is not connected to grid it is an autonomous way. This kind of operation can be beneficial to the

overall system if managed efficiently. Microgrid can be both off-grid as well as on-grid based. In the off-

grid (figure 9) system are basically built in remote places with the load of houses ranging from (10-200)

households where there is no grid connection or electrification because of long transmission line distances,

economic issues or geographical factors. In this kind of system, the renewable source generate electricity

and supplies as well as store the energy for the autonomy. In island solar microgrid, every solar PV panel

connected in the array generates electricity by converting solar radiation into electrical energy. All PV

panels are connected in a particular order of parallel and series combinations to provide the required voltage.

Figure 9: Solar isolated Microgrid[25]

The electricity generated from the array of panels is transmitted to a central controller called the Power

Conditioning Unit (PCU), which is, in simple terms, a large power inverter. The PCU is connected to the

Distribution Box (DB) on one hand and the battery bank on the other. The PCU controls regulates and

directs the electrical energy transmitted from the array, and supplies electricity directly to homes, shops,

offices, street lights during the production from solar and stores the remaining energy in the battery. During

the day if the power generated is not used or surplus power is generated, the PCU directs this to the energy

storage system which stores power. This power can then be used at night (after the sun sets when there is

no production from the Solar). The microgrid and battery bank can also be connected to a computer for

local power usage monitoring. With the addition of a modem, this information can be accessed from a

remote location, eliminating the need for local manpower to monitor the system. In case of Solar-Wind

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microgrid, Figure 10 system energy is produced by both the resources and feed to load as well store when

there is surplus. Basically, wind turbine can produce energy during the night and solar can generate during

the day.

Figure 10: Hybrid Isolated Microgrid [26]

3.1. MICROGRID SYSTEM CONSTITUTIONS

In this section, a brief review is done about the characteristics and components of a microgrid system

along with distributed sources such as PV panels and/wind generator(s) with energy storage and conversion

system.

PV PANELS

The PV system is a renewable and sustainable source of energy. Basically, PV is made up of Solar cells

arranged in parallel and series. Solar cells convert Sunlight into the Electrical energy (DC). A

typical photovoltaic system utilizes solar panels each comprising a number of solar cells. Which generate

electrical power. The initial step is the photoelectric effect followed by an electrochemical procedure where

crystallized atoms, ionized in a series, generate an electric current.[27]

There are several types of active (conversion of sunlight into other forms of thermic or electric energy)

and passive (heating buildings through constructive strategies) solar systems. PV panels are active solar

systems constituted by solar cells arranged in series and parallel to make a PV module with appreciating

power. The first generation technology is the crystalline silicon with a market share of 87% in three main

types: Monocrystalline, polycrystalline and silicon tapes. The polycrystalline cells are less efficient but

represent 49% of the market against 35% of Monocrystalline cells. They have also a lower manufacturing

cost (about 20%) being the correct decision to project the least expensive system possible .[28]

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The working rule of solar cells is the photovoltaic impact found by Alexandre Edmond Becquerel in

1839. In a photovoltaic impact the electrons-hole sets created are exchanged between various groups

(valence groups to conduction groups) inside the material itself, bringing about the improvement of an

electrical voltage between two cathodes. Tilted Polycrystalline installed in a house is shown in the figure

below.

Figure 11: Polycrystalline Panel installed in a house of Nepal[13]

In Nepalese market, as there are mainly two types of solar panels: Mono-crystalline, Poly-crystalline. In

solar microgrid system, we can use monocrystalline or polycrystalline. Energy production depends upon

various factors such as solar insulation in the particular geographic location, panel temperature.

We can determine the efficiency of the panel by the temperature of the cells; efficiency is decreasing

with increasing temperature due to the higher dark current. We can produce the better results with

simulation data using the following equation 3-1 and 3-2 to calculate energy produced.[29][30]

𝜂(𝑇) = 𝜂𝑆𝑇𝐶 ∗ [1 + 𝛾(𝑇𝑐 − 𝑇𝑠𝑡𝑐 ) ] (3-1)

𝐸𝑃𝑉 = 𝜂(𝑇) ∗ 𝐴 ∗ 𝐺 (3-2)

where 𝑇𝑐is the temperature of the cells, 𝑇𝑆𝑇𝐶= 25°C is the temperature of the cells at STC conditions, 𝜂stc

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is the efficiency of the module at STC conditions and γ is the empirically estimated relative efficiency

temperature coefficient, approximately equal to -0.004/K for polycrystalline silicon cells. And A is area of

photovoltaic’s and G is the irradiance [31]

WIND GENERATOR (S)

The sudden increases in the price of oil in 1973 stimulated a number of research, development, and

demonstrations of wind turbines and other alternative energy technologies in different countries. The large

masses of air moving over the earth surface are in the form of kinetic energy which is converted to electrical

energy with the help of wind turbine. Wind turbine receives this kinetic energy which is further converted

into useful mechanical energy and again transformed into electrical energy depending on the end use. A

rotating wind turbine is shown in figure 12. [32]

Figure 12: Wind Turbine farm[33]

Wind turbines work by converting the kinetic energy in the wind, first to rotational kinetic energy in the

turbine and then the electrical energy that can be supplied to the battery, load, or to the national grid. A

German physicist Albert Betz has concluded that no wind turbine can convert more than 16/27 (59%) of

the kinetic energy of the wind into mechanical energy turning a rotor. The maximum power efficiency of

any design of wind turbine is 0.59. (i.e. no more than 59% of the energy carried by the wind can be extracted

by a wind turbine.) This is called “maximum power coefficient”: Cpmax = 0.59 and the Power by the Wind

turbine can be calculated by equation (3-3)

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𝑃𝑤𝑖𝑛𝑑 = 0.5 ∗ 𝜌 ∗ 𝐶𝑝 ∗ 𝐴 ∗ V3 (3-3)

Where ρ is density (kg/m3), A is swept area (m2) , Cp is Power Coefficient, V is wind speed(m/s). [28]

The energy available for conversion always depends on the wind speed and swept area of the turbine.

Wind turbines are available in various sizes from a large number of wind turbine manufacturers, agents,

and developers. As compared to Solar PVs Wind Energy system is very new to Nepal and contributes very

less share for Renewable energy. V3 However, there are few companies working on Wind sector.

ENERGY STORAGE SYSTEM

An electric battery is an energy storage device that converts stored chemical energy into electrical energy

as required by the load in accordance with the chemical reactions – redox equations. Batteries that can be

recharged and discharge have largely replaced primary cells, as they save resource and reduce pollution.

The most commonly used batteries for storing applications are lead-acid batteries type as well as solar lead-

acid batteries in Nepal, but they are being substituted by Lithium-ion batteries over time due to several

advantages. Li-ion batteries have high capacity, high electrochemical potential, superior energy density,

durability, as well as the flexibility in design. All the above outstanding properties accelerate the

substitution of conventional secondary batteries.[23]

The batteries used in autonomous Microgrid systems should have the following characteristics for better

performance:

• Low maintenance necessity ;

• Long lasting durability ;

• Low self-discharge and high energy efficiency;

• High storage capacity and power density;

• Good performance/price relation;

• Protection against the occurrence of hazards to the environment and health.

The figure 13 & 14 are batteries that are generally used with the autonomous solar system in Nepal. The

voltage of the battery can be 2, 6 or 12 V depending on the need of electrical parameters. Most of the

batteries are imported from India; there is only one Battery manufacturer in Nepal.

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Figure 13: Lithium ion Battery[34]

Figure 14: Lead Acid Battery[35]

INVERTER

For any isolated microgrid system, the off-grid inverter is the essential electronic device that converts

low voltage DC electricity from a battery or other power source to 100V-120V or 220V-240V AC signal

depending upon the need of the load. Off-grid Inverters produce a voltage wave, with an independent

frequency from the grid. If correctly dimensioned according to the battery voltage levels. Some

requirements are indispensable for an off-grid inverter.[23]

• Autostarting and adequate protection warning signs;

• Peak power capacity – it should support more than two times its nominal power; Low THD(Total

harmonic distortion);

• Low standby power; High efficiency; Voltage stability – between the range of 230V±10%;

• Possibility to connect other inverters in parallel.

• The waveform should be selected accordingly to the type of application.

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4. CASE STUDY OF NEPAL: SITES A AND SITE B

In this section, two sites located in Nepal are analyzed for potential installation of a microgrid system.

For each site, the typical load curves is analysed, simulation for average energy production and its impact

on energy storage system is presented for a proper definition of the microgrid system configuration. To

verify the feasibility of these systems, economic assessment can be done in future for typical microgrid

systems.

4.1. OFF-GRID SYSTEM SITE A – CHILLIKOT (1.5 KWP)

Figure 15: Chillikot Village[36]

The project site Chillikot of Bijauri VDC is located on the top of the hill of western Nepal with 15

households. Households distribution pattern lie almost in a straight line as per as Detail Feasibility Study

(DFS) of Chillikot .The national utility grid, Nepal Electricity Authority (NEA) is not expected to reach

this site within five years. A survey was done to this site to observe the load demand and acceptability of a

microgrid implementation. Almost all respondent was interested in installing a solar microgrid system.

During the survey, it was found that most of the population depend on Agriculture as their source of income

and their monthly income various between $ 15- $ 40. Monthly income data given by the respondents are

low as compared to average living standard and demand for electricity for Nepal. Therefore, the system

costs and the remoteness of this site will be the major factors for this project. [36]

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ELECTRICAL CONSUMPTION - LOAD CURVE

The daily electrical consumption profile for the year 2015 was estimated by taking into account different

typical electrical appliances at different periods of time in a day as shown in table 2. As per the survey, the

demand for electricity in the morning is for lighting and television whereas in evening for lighting,

television, and radio. Appliances usage hours are taken by discussing with the respondents which are

adapted in this case study directly from the details feasibility study of the chillikot microgrid project. These

typical appliances and its energy consumptions are from and those were estimated based on the demand

and activities of residents. [36]

Table 2: Load Appliances[36]

Appliance Power [W] No. of Household

LED bulbs 44 15

Television 60 5

Radio 5 13

Mobile Chargers 3 15

As shown in table 2, the main load is LED bulbs for lighting purpose and Televisions. The total household

demand for the base year 2015 is calculated to be nearly 3.890 KWh/day. As per the survey, energy demand

for appliances such as lighting (67%) and TV (24%) are the main energy consuming appliance, while the

mobile charging and radio energy demand are residual, as shown in table 2.

In, figure 16 daily demand curves match a cup shape profile in the morning and evening. Considering the

diversity and consumption pattern of various appliances, the peak demand is estimated to be 900 Watts.

The load is assumed to be nearly constant here because main loads are lights and a few televisions. [36]

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Figure 16: Daily Load profile

The load demand has been projected for next five years. According to the Nepal Electricity Authority

(NEA) standard, the demand for household use is estimated to increase by 6-7% annually in the rural areas.

As per the discussion with respondents, household also tends to follow this increase for the next years. due

to the main economy as agriculture, the energy demand projection for next five year is taken at a rate of

5%as per as the Detail Feasibility Study (DFS). Therefore, based on the energy consumption of the year

2015, the estimated peak load in five years is 1150 watts the estimated energy consumption for the next

five years is listed in Table 3.

Table 3: Load demand projection

TECHNICAL CONFIGURATION

Based on the Detail Feasibility Study (DFS) for this site, this section deals with base technical outlines

of the Chillikot Solar microgrid which was originally designed. For the load profile and renewable resources

available at the site a total of six solar panels of 250 Wp and a nominal voltage of 24, each was required.

Total area required for installing 6 panels is around 10 square meters. Each panel would be connected in

parallel with each other to obtained system voltage of 24 V.[36]

A total of 6 Solar Tubular Lead Acid batteries with 12V and 200 Ah are used in series and parallel to

0 5 10 15 200

200

400

600

800

1000Load Curve

Time [hours]

Po

wer

Watt

s

Years 2016 2017 2018 2019 2020

Energy Demand

(Wh) 4085 4288 4503 4728 4964

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generate a bus voltage of 24 V. This type of battery was chose due easy availability. during the calculation

of battery size, depth of discharge is considered to be 80%, battery efficiency as 85% and rated charging

time of 10 hours. The modeling of the battery bank was done for an autonomy period of 2 days. Taking all

into consideration, total battery in parallel required was 3 and 2 in series to generate system voltage of 24

V.[36]

In fig. 17 a schematic of the microgrid to be installed on this site is shown where PV panels feed the

battery as well as dc loads and inverter supplies the ac loads. And the major components considered for this

system listed in table 4.

Figure17: Block diagram of Chillikot(Site-A) Solar Connection[23]

Solar Photovoltaics’ manufactured by REC Norway group with the specification attached in annex 1.

Will be installed along with the Solar Tubular Lead acid battery manufactured by Exide company located

in India. To ensure the maximum extraction of power from Solar Panels the Maximum Power Point Tracker

(MPPT) solar regulator will be used instead of normal PWM charge controller. The normal inverter with

around 90 percent will be installed. The global system is assumed to be 85 percent. Major components are

shown in table 4 below.

Table 4: Major Solar Microgrid component of Chillikot – Site A

Components Quantity Unit Total

Solar PV,Polycrystalline, REC Norway 6 250 Wp 1500 Wp

Solar Tubular Lead Acid , Exide, Battery Bank 6 12V/200Ah 14,400 Wh

Solar regulator (MPPT) 1 24V,20 A 20A

DC/AC Inverter 1500VA 1 1500 VA 1500 VA

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A MATLAB simulation was done to estimate the average energy production from the solar microgrid

and its storage system. Figures below show the production capacity from Solar Panels for all the months

during a year. The monthly irradiance data was taken from the Detail Feasibility Study (DFS). [25] and

hourly irradiance was obtained by making calculations from series of data available in [37]. The datasheet

for Solar Panels and Solar Batteries are attached in Appendix 8.1 and 8.3

MONTHLY IRRADIANCE AND AVERAGE TEMPERATURE IN CHILLIKOT

There are various sources to obtain irradiance and temperature data for the simulation. In this work

monthly average Irradiance, hourly irradiance value for one year, daily average irradiance and temperature

values is taken from for chillikot.[37] The table 5 below shows the average Global Horizontal Irradiance

(GHI) and average temperature each month. Module temperature is obtained from average ambient

temperature by converting to Normal Operating Cell Temperature (NOCT) using equation 4-1.

𝑇𝑐𝑒𝑙𝑙 = 𝑇𝑎𝑖𝑟 + 𝑁𝑜𝑐𝑡−20

80∗ 𝐺 4-1

Table 5: Monthly Metrological data- Site A

Month GHI Amb. Temp Module Temp

Jan 127 12 27

Feb 146 15.7 30.7

Mar 190 20.7 35.7

Apr 209 27 42

May 191 25.8 40.8

June 180 25.9 40.9

July 138 24.7 39.7

Aug 179 25.9 40.9

Sep 175 24.1 39.1

Oct 164 21.4 36.4

Nov 143 16.5 31.5

Dec 130 12.8 27.8

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26

SIMULATION RESULTS

SOLAR PV GENERATION

The figure 18 and 19 below shows the production of electrical energy from solar panels monthly with six

and five Solar PVs connected in the system respectively. As per as the report, six panels shall be installed

to feed the daily load of 4085 Wh (2016) which is an average total of 122.55 kWh monthly. Assuming the

global system efficiency of eighty-five percent the production from panels is surplus as compared to the

total load to be feed. so further simulation work is performed to see the if system component can be reduced

without altering the basic load demand. from this bar diagram of fig 18 it is seen there is highest production

of 293.11 kWh during April and lowest production of 189.58 kWh during January, while net energy

produced in a year is 2344.25 kWh in average at Normal operating cell temperature (NOCT), at Standard

Test Conditions (STC) the production is slightly higher as shown in the bar diagram below.

However, there is the possibility of reduction of system size, on performing the simulation with only five

Solar PVs connected in the system the gross energy production during Jan also the lowest yielding month

is 157.98 kWh as shown in fig 19 below. It is nearly seventeen percent less than actual design yield from

Solar PVs. Total gross energy produced during a whole year is 2357.23 kWh. The global efficiency of the

system is eighty-five percent which gives the net energy of 2003.64 kWh in a year.

Figure 18: Energy produced per month by six panels under STC and NOCT

0

50

100

150

200

250

300

350

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Ener

gy [

kW

h]

Energy Production each month (STC,NOCT)

Energy produced per month @NOCT [kwh] Energy produced per month @STC [kwh]

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27

Figure 19: Energy produced per month by five panels under STC and NOCT

THE BATTERY STATE OF CHARGE

Fig: 20 and 21 presented in the next page are the result of the Matlab simulation that's indicated the

condition of the battery through the year. Basically, battery is the device that stores electrical energy in the

form of chemical energy. It gets charged when there is surplus energy in the system and gets discharge

when generation is lower than demand, thus supplying the energy it has stored before. Higher the state of

charge higher is the amount of energy stored in it. Here in this graph, it can be seen the state of charge

remains mostly between eighty-five percent (full storage ) and sixty-five percent. Beside few hours when

the battery is completely discharged during the month of Feb and July, it's because of the faulty weather

conditions while measuring the data of Irradiance and temperature , which has been used in this simulation.

The nos. of hours during the year when the battery goes to its nominal level is thirteen.

0

50

100

150

200

250

300

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Ener

gy [

kWh

]Energy Production each month (STC,NOCT)

Energy produced per month @NOCT [kwh] Energy produced per month @STC [kwh]

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28

Figure 20: Battery state of charge during a typical year with six batteries

Likewise, in Fig 21 it is seen that state of charge remains fairly between eighty-five percent (full storage

) and sixty percent. There are months like Jan, July, and Dec where the charge in the storage system goes

down to below twenty percent. The change is seen because there is decrease in the nos. of the battery thus

decreasing the storage capacity. The nos. of hours during the year when the battery goes to its nominal level

is fifty-five. During this hours the load is completely shut down or external charger should be introduced

which is not an option for this case. So, residents must rely on their alternative option. Since this is the

worst case scenario where the values of irradiance are very low during few days of July. The cost of the

battery is significantly reduced with this option.

0 744 1416 2160 2880 3600 4344 5064 5808 6528 7272 8016 87600

10

20

30

40

50

60

70

80

90

100Battery State of charge

Time [Hours]

Sta

te o

f C

harg

e [%

]

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29

Figure 21: Battery state of charge during a typical year with four batteries

SOLAR PV GENERATION AND BATTERY STATE OF CHARGE DURING JULY

Fig 22 and 23 below are the results of battery state of charge during the July and net energy production

during July respectively. As shown in fig. 22 battery state of charge at the end of the previous month is

assumed to be fifty-five percent which then in July increases up to eighty-five percent and dips below to

less than nominal value. After the third week of July, batteries starts to discharge completely to its nominal

values and charges only up to forty percent of its capacity. Similarly, in figure 23 it is seen that production

from the Solar PVs also decreases by almost half during the start of the third week of July. The faulty

weather condition results in low irradiance and thus decreasing the yield of energy. The number of hours

when the load is completely shut down is thirty-one.

0 744 1416 2160 2880 3600 4344 5064 5808 6528 7272 8016 87600

10

20

30

40

50

60

70

80

90

100Battery State of charge

Time [Hours]

Sta

te o

f C

harg

e [%

]

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30

Figure 22: Battery state of charge in July (five panels & four Batteries)

Figure 23: Energy Production in July (five panels)

0 168 336 504 672 7440

10

20

30

40

50

60

70

80

90

100Battery State of charge July

Time [Hours]

Sta

te o

f C

harg

e [%

]

0 168 336 504 672 7440

500

1000

1500Energy from PV in July

Time [Hours]

Energ

y [W

h]

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31

AUTONOMY

The autonomy is defined as the time during which the load can be met with the battery alone, without

any solar inputs, this is accounted as the worst case. For this case, as the worst case is during July, figure

24 below is the simulation made for 3 consecutive days when there is very low irradiance for two

consecutive days. The dashed curve represents the energy produced. From this simulation, the no of hours

load can be met is Thirty-six(1.5 days). So, the autonomy of this system is 1.5 days.

Figure 24: Energy, Load, SOC curve for three days

0 24 48 720

100

200

300

400

500

600

700

800

900

1000

Time [Hours]

Energ

y [W

h],Load [w

],S

OC

[%]

Energy

Load

Battery SOC

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32

FINANCIAL ANALYSIS- SITE A

In this section cost of the system will be discussed for both the original configuration as well as modified

configuration.

Original configuration:

As per as retail price for the product and service offered by Nepalese Solar Company sums around

4675.00 Euros for the original configuration as shown in table 6.

Table 6: Price quotation for original configuration

Components Quantity Unit Price

(Euros)

Solar PV, Poly Crystalline, REC Norway 6 250 Wp 1.205,00

Solar Tubular Lead acid , Exide, Battery Bank 6 12V/200AH 2.143,00

Solar regulator (MPPT) 1 24V,20 A 300,00

DC/AC Inverter 1500VA 1 1500 VA 357,00

Installation Materials and Installation with

Transportation

1 - 670,00

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33

Modified Configuration:

As per as retail price for the product and service offered by Nepalese Solar Company sums around

3685.00 Euros for the original configuration as shown in the table 7. As compared to the table 7 modified

configuration can save up to 22 percent of total cost. Obviously have certain disadvantages during winter

months but this can be minimised by using low wattage energy efficient Luminaries .

Table 7: Price quotation for modified configuration

Components Quantity Unit Price

(Euros)

Solar PV, Poly-crystalline, REC Norway 5 250 Wp 1.000,00

Solar Tubular Lead acid ,Exide, Battery Bank, India 4 12V/200Ah 1.428,00

Solar regulator (MPPT) 1 24V,20 A 300,00

DC/AC Inverter 1500VA 1 1500 VA 357,00

Installation Materials and Installation with

Transportation

1 - 600,00

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34

4.2. OFF-GRID SYSTEM SITE B – BHORLENI SOLAR-WIND MICRO GRID

(35.16KW)

Bhorleni Village is located in Farhadi VDC ward no 2 of Makwanpur district. Fig 25 shows the

photographic image of the village takes from a distance adapted from the Detail Feasibility Study

(DFS)report.[38]

Figure 25: Bhorleni Village [38]

According to the detail feasibility study, the initial design allocates 150Watts per household plus about

17 kW for productive end use activities among 120 households in the Bhorleni village including a lower

secondary school. The proportion of productive end use is about one half of the proposed installation to

facilitate commercial activities in the village.[38]

A wind solar hybrid system of total capacity 35.16 kW has been proposed to meet base year (2013) and

forecasted electricity demand of 120 households.[38]

ELECTRICAL CONSUMPTION - LOAD CURVE

With the help of MAT-Lab simulation and load demand survey, daily load profile is presented here. The

Load patters suggest there is peak load in the evening, moderate in the day and very low demand during

morning and night and is presented in fig 26. The peak load is 16 kW, productive end use alone accounts

for 30 percent of the demand. General loads are lights, refrigerators, televisions, photocopy machines,

furniture, chilling plants and cold stores. The total daily average load is 98707 kWh and the total monthly

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35

average is 2961.21 kWh. For the purpose of simplicity load for one year is assumed to be constant and load

demand is subject to increase by 5 percent each year resulting daily average load of 125977.9 kWh after

five years as per as Nepal Electricity Authority.[38]

Figure 26: Daily Load profile

TECHNICAL CONFIGURATION

According to the detail feasibility study, the size of the autonomous system with Wind and Solar PV

plant is approximately 35.16 out of which 15 kW wind turbine and 20.16 kWp capacity of Solar PVs shall

be installed. As per as detail feasibility study a hybrid (solar and wind) electricity generation system has

been designed to utilize locally available renewable energy after analyzing the resource availability and the

electricity demand in the village. The simplified block diagram is shown in figure 27.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240

2

4

6

8

10

12

14

16

18

20Daily Load Curve

Time [Hours]

Load [kW

H]

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36

Figure 27: Block diagram of Site B Connection[23]

The hybrid system shall consist of (a)three wind turbines, each with a rated capacity of 5 kW (total 15

kW), (b) 72 solar PVs of 280 Wp each (total 20.16 kWp), and (c) an energy storage system to store

electricity. The storage system has been designed to match the load patterns and the wind-solar power

output, in order to achieve a balance between the demand and supply. A total of 330 batteries (in 3 strings,

and each with 2V, 1000 Ah at C/10; 330 KAH at 50% depth of discharge) are to be installed to store two

days of electricity output that can satisfy about four days’ of electricity demand (excluding productive end

use) in the base year 2013. Table 8 below presents the size of the key components of the proposed solar

wind hybrid system for the Bhorleni village.[38]

Table 8: Major Solar Microgrid component of Bhorleni- Site B

The hybrid system shall consist of three wind turbines, each with a rated capacity of 5 kW (total 15 kW),

72 solar PVs of 280 Wp each (total 20.16 kWp), as shown in figure 28. Size of Solar PVs is around 57

percent of total size while Wind turbines hold 43 percent of total size as shown in fig below.

Components Quantity Unit Total

Solar PV, Mono-crystalline cell ,Canadian

Solar

72 280 Wp 20.16 kWp

Wind Turbine, Pitch Controlled 3 5 kW 15 kW

Battery Bank, GEL VRLAs 330 2V/1000Ah 660 kWh

DC/AC Inverter 2 60 kVA 2*60 kVA

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37

Figure 28: Solar and Wind Installed Capacity

MONTHLY IRRADIATION AND AVERAGE TEMPERATURE IN BHORLENI

There are various sources to obtain irradiance and temperature data for the simulation. In this work monthly

average Irradiance, hourly irradiance value for one year, daily average irradiance and temperature values is

taken from for Bhorleni.[37] The table 9 below shows the average Global Horizontal Irradiation (GHI) and

average temperature each month. Module temperature is obtained from average ambient temperature by

converting to Normal Operating Cell Temperature (NOCT) with equation below.

𝑇𝑐𝑒𝑙𝑙 = 𝑇𝑎𝑖𝑟 + 𝑁𝑜𝑐𝑡−20

80∗ 𝐺 4-2

Table 9: Monthly Metrological data- Site B

Month GHI Ambient Temp Module Temp

Jan 122 12.0 25.5

Feb 138 9.4 27.6

Mar 184 13.7 33.0

Apr 211 16.7 37.4

May 179 17.9 34.2

June 165 19.4 34.0

July 136 19.6 31.2

Aug 160 19.4 33.2

Sep 109 18.0 28.2

Oct 153 14.8 30.3

Nov 136 11.1 27.1

Dec 123 13.0 26.2

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38

SIMULATION RESULTS

GENERATION FROM SOLAR/WIND

The MATLAB & Excel simulation was made to have an idea about the generation of energy from the

solar/wind microgrid for a period of one year / one month. Irradiance & Temperature data is adapted

from[37] Details of wind data are obtained from the local Wind energy company in Nepal. Further, input

parameter like a model of solar panels and battery (which are mostly used in Nepal) are adapted from the

internet and detailed feasibility study report respectively. The datasheet for Solar PV, Solar Battery and

Wind turbine is attached in appendix 8.2, 8.4 and 8.5 respectively. [38]

The Energy produced by Solar PVs and Wind Turbines for each month is shown in figure 29 below which

was simulated in MS-Excel. From the graph, it can be observed that highest production is during the month

of April accounting total production of net Energy of 4450 kWh and lowest production during Sep

accounting total production of only 2072.6 kWh less than half the yield in the month of April.

Figure 29: Monthly Energy production from Solar PV and Wind Turbine

Furthermore, from figure 30 it is observed during the month of Jan, Jul, Aug, Sep, Dec the production

doesn’t fully supply the load. In this situation, the load is prioritized manually resulting the shutdown of a

portion of productive end loads. This situation has arisen because of very less production from Wind

Turbines. Wind Turbines size is 43 percent of total size while it generates only 19 percent of total average

energy. Replacing Wind turbines and installing similar size of Solar PVs is more profitable in this specific

case study since Solar resources in higher as compared to wind speeds.as we can see in figure 31 ,15000

0.0

500.0

1000.0

1500.0

2000.0

2500.0

3000.0

3500.0

4000.0

4500.0

5000.0

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Ener

gy [

kWh

]

Energy from Solar [kWh] Energy from Wind [kWh]

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39

kWh of excess energy is produced in year if this option is implemented. The disadvantages of this

configuration would be energy production is totally depended upon only one source of energy i.e. Solar

Energy.

Figure 30: Monthly averaged production and Monthly average load.

Figure 31: Energy produced when wind turbines replaced by Solar PV

0.0

500.0

1000.0

1500.0

2000.0

2500.0

3000.0

3500.0

4000.0

4500.0

5000.0

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Ener

gy [

kWh

]

Total Energy [kWh] Total load [kWh]

0

1000

2000

3000

4000

5000

6000

7000

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Ener

gy [

]kW

h

Energy produced per month with solar replaced by wind [kWh]

Excess energy per month compared to prior configuration[kWh]

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40

THE BATTERY STATE OF CHARGE

The figure 32 presented below are obtained from MAT-LAB simulation for the time period of one year.

The input parameter is hourly irradiance data, hourly temperature hourly load and battery characteristics. It

is observed that batteries remain in very comfortable position from Jan to June fluctuate from 85 percent to

nearly 58 percent of SOC. As mention in the Detail feasibility Study (DFS )report, it is seen the battery is

drained for several hours during July-Oct mainly because of low production from Solar PVs and Wind

turbines. The number of hours in a year when battery shuts down is six hundred ten which equals around

twenty-six days. The way to solve this problem as recommended in Detail feasibility Study (DFS )report is

to disconnect the portion of productive end load and supply the residential load.

Figure 32: Battery State of charge with Solar and Wind turbines

However, this study suggests there is an option to solve the foreseen problem. As discussed earlier in

section 4.3 Wind Turbines size is 43 percent of total size while it generates only 19 percent of total average

energy. Replacing Wind turbines and installing similar size of Solar PVs is more profitable in this specific

0 744 1416 2160 2880 3600 4344 5064 5808 6528 7272 8016 87600

10

20

30

40

50

60

70

80

90

100

Battery State of charge [Solar and Wind]

Time [Hours]

Sta

te o

f C

harg

e [%

]

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41

case study since Solar resources in higher as compared to wind speeds. The disadvantages of this

configuration would be energy production is totally depended upon only one source of energy i.e. Solar

Energy.

As in figure 33 represents the battery SOC while a portion of wind energy is replaced an equivalent

capacity of Solar PVs are connected. Upon installation of this configuration, no of hours, when battery hits

to its minimal level, is reduced to 66 hours in a year. A significant difference is seen during the month of

Sep-Nov as compared to a formal configuration where during this months battery is drained most of the

time as shown in Fig 32.

Figure 33: Battery SOC when wind turbines replaced by Solar PVs.

SOLAR PV GENERATION AND BATTERY STATE OF CHARGE DURING AUGUST

In addition, to have deep analysis on Battery SOC and in order to compare both the configuration

simulation for a month of Aug is carried out. Fig 34 & 35 represents the Battery SOC for the month of Aug

with an energy source as Solar PVS and Wind and with Solar PVs only respectively. It is observed that

Battery SOC drops from 85 percent to 50 percent in 120 hours if connected with the original configuration.

0 744 1416 2160 2880 3600 4344 5064 5808 6528 7272 8016 87600

10

20

30

40

50

60

70

80

90

100

Battery State of charge [Solar]

Time [Hours]

Sta

te o

f C

harg

e [%

]

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42

On the Contrary, SOC of Battery drops from 85 percent to 50 percent in 480 hours i.e.20 days if connected

according to modified configuration i.e. Wind turbines completely replaced by Solar PVs. Correspondingly

no. of hours when the battery gets empty is 152 hours with original configuration (Solar PVs and Wind

Turbines and 66 hours when Wind turbines are completely replaced by Solar PVs.

Figure 34: Battery SOC during Aug with Solar and Wind

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

10

20

30

40

50

60

70

80

90

100Battery State of charge

Time [Hours]

Sta

te o

f C

harg

e [%

]

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43

Figure 35: Battery SOC during Aug with wind turbines replaced by Solar PVs.

In the same way, fig 36 and 37 supports the analysis of this study where it is concluded that energy

production is higher with Solar PVs as compared to the configuration with Solar PVs and Wind Turbines.

The average net energy production during Aug with Solar PVs and Wind turbines is 2.37 Megawatts while

on the other hand production soars up to 3.26 Megawatts with the installation of Solar PVs only. There is

around 37 percent increase in energy production.

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

10

20

30

40

50

60

70

80

90

100Battery State of charge

Time [Hours]

Sta

te o

f C

harg

e [%

]

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44

Figure 36: Energy from Solar and Wind during AUG.

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

5

10

15

20

25

30Energy from PV and Wind [kWh]

Time [Hours]

Energ

y [kW

h]

Energy from Solar PV

Energy from Wind

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45

Figure 37: Energy from Solar replaced by Wind

FINANCIAL ANALYSIS OF BHORLENI – CASE B

In this section cost of the major systems components will be discussed in brief for both the original

configuration as well as modified configuration. As, since their no deduction in any components as

compared to case A, There is no any significant price drop in modified configuration. However, the main

advantage of this modified configuration is energy production is increased. [38]

ORIGINAL CONFIGURATION:

For this system the price including tax and duties has been outline here as per as Detail Feasibility Study

(DFS) report. The total price for the major component for the original configuration is approx 184,516

Euros and the breakdown cost is shown in Table 10.[38]

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

5

10

15

20

25

30Energy from PV replaced by Wind [kWh]

Time [Hours]

Energ

y [kW

h]

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46

Table 10:Price quotation for original configuration ( Datasheet attached in Appendix 8.2)

S.N. Components Origin Quantity Price (Euros)

1 Solar PVs, 280Wp Canadian Solar China 72 17,793

2 Wind Turbines 15KW China 3 10,322

3 VRLA Gel Battery 2V,1000AH , China 330 113,542

4 Charge Controller 5kW Wind(3) &

30kW PV(1)

NA 4 2647

5 DC/AC Inverter, 60 kVA-3 NA 2 17652

6 Installation Materials Installation

,Transportation and Testing

Nepal 1 22,560

Modified Configuration:

From the results of the simulation shown in detail in the previous chapter, the wind turbines are replaced

by the equivalent capacity of Solar PVs. Hence, the cost of Wind turbine, Wind turbine tower, and Wind

charge controller is deducted and cost of extra-Solar PVs and accessories is added.

For this system, the price including tax and duties has been outlined here as per as Detail Feasibility Study

(DFS) report. The total price for the major component for the original configuration is approx. 187,144

Euros and the breakdown cost is shown in Table 11.[38]

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Table 11: Price quotation for modified configuration

S.N. Components Origin Quantity Price (Euros)

1 Solar PVs, 280Wp Canadian Solar China 125 30,890

2 VRLA Gel Battery 2V,1000AH , China 330ss 113,542

3 Charge Controller 70kW NA 1 2500

4 DC/AC Inverter, 60 kVA-3 NA 2 17652

5 Installation Materials Installation

,Transportation and Testing

Nepal 1 22,560

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49

5. NON-NORMAL OPERATING CONDITIONS

Fault analysis in PV system is a fundamental task to ensure the reliability, efficiency of the system.

Operating characteristics of PV system in the case of the non-normal operation conditions is important to

study for the design of Microgrid System. Physical damages, shading, aging, bypass diode damages are

some examples of the non-normal operating conditions. The installed PV system has to operate in these

abnormal environmental conditions which lead to adverse effects on the performance of the PV system, so

there is need of systematic study of those conditions. The systematic study includes the detailed study of

the variation in the output parameters i.e. current voltage and the power. The waveform of current and

voltage of the PV cell, module, and the panel is measured and IV curve is recorded. The waveforms are

recorded for the normal operating condition as well as the abnormal conditions. The obtained curves are

then compared and figure out the problem associated with the PV system. By comparing those two

waveforms the faults are detected.

Partial shading is one of the most frequent situations that can induce abnormal conditions, occurring

when some module of the PV array is shaded. This is a regular phenomenon mainly caused by clouds and/or

nearby obstacles. Due to the nature of shading, it will show its influence on the IV characteristics. The study

of the nature of defects and its influences in the IV curves (either in a single solar cell and in a module), has

found that module was broken, degradation, cracking, sand and snow effects, corrosion, and shading, all

have in common will result in the variation of its fill factor. There can be also heating of the cells due to

some defects, hotspots may occur due to the rise in cell’s temperature.[39]ssssss There may be degradation

of the interconnection between the modules, corrosion in the inter-cell bonds; all this will give rise to the

variation of series resistance

Till date, in Nepal systematic study of the faults, &maintenance has not been carried out so it is not

possible to say the exactly the conditions of the PV system in Nepal. This thesis work tries to identify the

frequent faults& cause of degradation and finally tries to recommend the solution of the problems which

they are facing

5.1. EFFECT OF PARTIAL SHADING ON CASE STUDY B

Figure 38 & 39 are the simulation result of energy produced by Solar PVs at normal conditions and

nonnormal conditions respectively. To obtain the effect of partial shading one month (DEC) global

irradiance data in change by diffused irradiance skipping a day. i.e. in general assumption of total cloudy

days of fifty percent of the time in a month. In figure 38 each curve represents energy production during a

day with the normal operating condition. The total average energy yield during of month equal to

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Figure 38: Energy produced by Solar PVs at Normal operation conditions (DEC)

Similarly, as a result of partial shading, the energy yield from Solar Panels gets reduced as shown in the

curve of figure 39. Each small curve in the graph represents energy generated by Solar PVs during a cloudy

day (partial shading, hence some energy is being produced). The total average energy produced during this

condition in a month of Dec is equal to. , which is 36 percent less than the energy that is produced during

normal operating conditions of the same period.

These types of operating conditions are unpredictable and have effects on Battery SOC and feeding of

the load. To overcome and protect batteries to drain, the only most critical load should be run during this

kind of period. Upgrading the system size is costlier and difficult to integrate into the existing system.

However, this kind of conditions should be taken into account while desiring Solar Autonomous Systems.

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

5

10

15

20

25

30Energy from PV at normal conditions [kWh]

Time [Hours]

Energ

y [kW

h]

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Figure 39: Energy produced by Solar PVs at Non-Normal operation conditions (DEC)

24 72 120 168 216 264 312 360 408 456 504 552 600 648 696 7440

5

10

15

20

25

30Energy from PV during cloudy month [kWh]

Time [Hours]

Energ

y [kW

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6. CONCLUSIONS AND FUTURE WORK

6.1. CONCLUSIONS

In Nepal, Renewable Energy based off-grid electrification has huge potential to be an alternative solution

to cross-ridden grid-based electrification system, especially in rural areas. In this decade considerable

progress has been made on this front due to the presence of strong and dedicated engagement of various

key institutions and government bodies like Alternative Energy Promotion Centre, (AEPC) donor agencies

and moreover by a presence of a strong market supported by private entrepreneurs.

This thesis study approached autonomous solar microgrids case study of two villages in Rural Nepal.

The simulation of both of the cases was done in MATLAB; Irradiation and temperature data of the sites

was obtained from PVGIS website. [37] Wind speed data is provided by one of the local company who

measured at the specific site4. Regarding the average load which was obtained from Detail Feasibility Study

(DFS) report is assumed to be constant throughout the year, but subject to increase by 5 percent yearly. The

overall efficiency of 85 percent is assumed in both the cases.

In Site A (1.5kWp) the simulation results indicated that, total nos. of installed capacity can be reduced

from 1.5kWp to 1.25kWp. In a year average total net energy at the consumers end is 2003.64 kWh while

average demand is 1470.6 kWh at normal conditions. Each hour simulation for one whole year to analyse

battery state of charge was performed which resulted nos. of battery could be decreased from 6 to 4. Nos.

of hours in a year when batteries are emptied is thirty-five with autonomy days of 1.5. These conditions

further concluded that price of major equipments was reduced by nearly 20 percent.

In Site B, the simulation result indicated that the choice of Solar-wind microgrid has not good impact on

the load. Certain Loads should be turned off during month of (Jan, Jul, Aug, and Sep) because of low

production. If Wind turbines are replaced by Solar PV of equivalent capacity kWh of excess energy is

produced. The nos. of hours when batteries is drained was reduced from 610 to 66 with the autonomy days

of 2. The price of major components nearly remained the same.

6.2. FUTURE WORKS

This thesis only includes the simulation results of the case study, in the future further study can be

conducted by experimental validations of the systems which interns give the precise results, also this thesis

includes a very short description of the economic aspects of the project including only the cost of major

4www.windpowernepal.com

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equipment. Further study may include the details economic assessment of both of the system. Also in

future, the major study could be the detail fault and maintenance study of both the projects.

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[4] C. Bureau, “Nepal - Nepal Living Standards Survey 2010-2011 , NLSS Third,” 2015.

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[8] M. A. Green, K. Emery, Y. Hishikawa, W. Warta, and E. D. Dunlop, “Solar cell efficiency

tables (Version 45),” Prog. Photovoltaics Res. Appl., vol. 23, no. 1, pp. 1–9, Jan. 2015.

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Oct-2017].

[15] A. Qayoom Jakhrani, A.-K. Othman, A. R. Rigit, S. Raza Samo, and S. Ahmed Kamboh,

“Estimation of Incident Solar Radiation on Tilted Surface by Different Empirical Models,”

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[16] A. M. Noorian, I. Moradi, and G. A. Kamali, “Evaluation of 12 models to estimate hourly

diffuse irradiation on inclined surfaces,” Renew. Energy, vol. 33, pp. 1406–1412, 2008.

[17] K. N. Poudyal, B. K. Bhattarai, B. Sapkota, B. Kjeldstad, and P. Daponte, “Estimation of

the daily global solar radiation; Nepal experience,” Measurement, vol. 46, pp. 1807–1817,

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[18] A. Majeed Muzathik, W. Mohd Norsani Wan Nik, K. Samo, and M. Zamri Ibrahim, “Hourly

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51–66, 2010.

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https://www.evwind.es/2014/06/09/asias-first-hybrid-solar-wind-power-system-to-

nepal/45807. [Accessed: 13-Oct-2017].

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http://www.itacanet.org/the-sun-as-a-source-of-energy/part-3-calculating-solar-angles/.

[Accessed: 12-Oct-2017].

[21] “SR20-D2 pyranometer | Hukseflux | digital Modbus and 4-20 mA output.”

[22] “DR01 pyrheliometer | first class pyrheliometers.”

[23] J. Carriço, “Technical and Economic Assessment of a 500W Autonomous Photovoltaic

System with LiFePO4 Battery Storage- Master Thesis in University of Lisbon,Instituto

Superior Técnico,” no. November, 2015.

[24] D. T. Ton and M. A. Smith, “The U.S. Department of Energy’s Microgrid Initiative,” Electr.

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[27] R. Chetan Krishna, “Graphene Solar Cell,” Imp. Int. J. Eco-friendly Technol., vol. 1, no. 1,

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[28] Rui Castro, “Uma Introdução às Energias Renováveis: Eólica, Fotovoltaica e Minihídrica

1st ed., IST Press, 2011.” .

[29] Green and M.A., “Solar cells: operating principles, technology, and system applications.”

Prentice-Hall, Inc.,Englewood Cliffs, NJ, 01-Jan-1982.

[30] J. Rakovec, K. Zaksek, K. Brecl, D. Kastelec, and M. Topic, “Orientation and Tilt

Dependence of a Fixed PV Array Energy Yield Based on Measurements of Solar Energy

and Ground Albedo – a Case Study of Slovenia,” in Energy Management Systems, InTech,

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[31] Y. Riesen, M. Stuckelberger, F.-J. Haug, C. Ballif, and N. Wyrsch, “Temperature

dependence of hydrogenated amorphous silicon solar cell performances,” J. Appl. Phys.,

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[32] “Ammonit Systems for Wind and Solar Measurement (Data Loggers, Anemometers, Wind

Vanes, Pyranometers, SoDAR, LiDAR, …).” [Online]. Available: http://ammonit.com/en/.

[Accessed: 02-Oct-2017].

[33] JENNA VONHOFE, “Wind turbines either a saving grace or a nuisance, depending on your

view | Local | journalstar.com.” [Online]. Available:

http://journalstar.com/news/local/wind-turbines-either-a-saving-grace-or-a-nuisance-

depending/article_17e6c5b0-4aee-5f07-bee2-e7bf88d2ab04.html. [Accessed: 13-Oct-

2017].

[34] Smart Battery, “Lithium Ion Golf Cart Batteries | Deep Cycle Replacement Batteries | Smart

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[35] Exide Industries, “Solar Batteries Technical Catalouge.”

[36] G. P. O. 14364, Khumaltar, and Lalitpur, “Detail Feasibility Study of SOLAR VILLAGE

ELECTRIFICATION (Seven Hamlet Sites of Dang) Renewable Energy for Rural

Livelihood (RERL) Programme, Alternative Energy Promotion Center (AEPC),” 2015.

[37] “JRC Photovoltaic Geographical Information System (PVGIS) - European Commission.”

[Online]. Available: http://re.jrc.ec.europa.eu/pvg_tools/en/tools.html. [Accessed: 20-Jul-

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2017].

[38] D. F. Study and W. H. Project, “Detail Feasibility Study Wind-Solar Hybrid Project,” 2013.

[39] J. C. H. Phang, D. S. H. Chan, and J. R. Phillips, “Accurate analytical method for the

extraction of solar cell model parameters,” Electron. Lett., vol. 20, no. 10, pp. 406–408,

1984.

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8. APPENDIX

8.1. PV PANEL – POLYCRYSTALLINE 250WP – REC250

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8.2. PV PANELS- MONO CRYSTALLINE 280WP – 280M

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8.3. SOLAR LEAD ACID BATTERY – EXIDE INDUSTRIES 200 AH-12V,6LMS200L

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8.4. SOLAR VRLA GEL BATTERY – SACRED SUN ,2V, 1000AH –GFMJ-1000AH

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8.5. WIND TURBINE - (5 KW) - QINGDAO ANHUA NEW ENERGY EQUIPMENT

CO.LTD.

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