Comisión Nacional de Energía Eléctrica Term Perspectives for Electricity Supply.pdfComisión...

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Transcript of Comisión Nacional de Energía Eléctrica Term Perspectives for Electricity Supply.pdfComisión...

Page 1: Comisión Nacional de Energía Eléctrica Term Perspectives for Electricity Supply.pdfComisión Nacional de Energía Eléctrica President Carlos Eduardo Colom Bickford Director Enrique
Page 2: Comisión Nacional de Energía Eléctrica Term Perspectives for Electricity Supply.pdfComisión Nacional de Energía Eléctrica President Carlos Eduardo Colom Bickford Director Enrique

Comisión Nacional de Energía Eléctrica

President

Carlos Eduardo Colom Bickford

Director

Enrique Moller Hernández

Director

César Augusto Fernández Fernández

General Manager

Sergio Oswaldo Velásquez Moreno

Developed by: Strategic Projects Division

Strategic Projects Division Chief

José Rafael Argueta Monterroso

Project Planning Department Chief

Fernando Alfredo Moscoso Lira

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Work Team

Edwin Roberto Castro Hurtarte

Gustavo Adolfo Ruano Martínez

Juan Carlos Morataya Ramos

Alejandra Patricia Maldonado Castellanos

Luis Fernando Rodríguez Santizo

INDEX Index ........................................................................................................................................3

Figures & tables index............................................................................................................5

Executive summary................................................................................................................8

Introduction...........................................................................................................................10

Goals......................................................................................................................................11

Chapter 1 National electric subsector.............................................................................12

National electric market..................................................................................................12

Legal structure...............................................................................................................14

National electric market structure..............................................................................15

Steady demand & efficient steady supply...................................................................17

Current transmission system ............................................................................................19

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Expansion plan of the transmission system 2008-2018 .............................................21

Indicators of national power grid...................................................................................25

Electricity distribution system...........................................................................................27

Energy & power ............................................................................................................29

Demand marginal cost to short-term (spot price).......................................................31

Gross domestic product (GDP) ......................................................................................32

Load curve ........................................................................................................................34

Chapter 2 Study premises ..................................................................................................35

Demand.............................................................................................................................35

Fuels ....................................................................................................................................37

New generating plants....................................................................................................38

Simulated cases ............................................................................................................39

Hydrology ..........................................................................................................................39

Chapter 3 Study results........................................................................................................41

Case 1 ................................................................................................................................42

Case 2 ................................................................................................................................47

Case 3 ................................................................................................................................54

Case 4 ................................................................................................................................58

Case 5 ................................................................................................................................63

Nodal Losses......................................................................................................................68

Conclusions ...........................................................................................................................73

Bibliography ..........................................................................................................................75

Anex A ...................................................................................................................................76

Acronyms...........................................................................................................................76

Measuring units .................................................................................................................77

Multiples .............................................................................................................................77

Anex B References...............................................................................................................77

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FIGURES & TABLES INDEX

Figures

Figure 1-1 Electric sub-sector structure........................................................................1 Figure 1-2 Steady demand ..........................................................................................17 Figure 1-3 Efficient steady supply by fuel type..........................................................18 Figure 1-4 Ownership of the transmission lines of 230kv and 69kv, respectively ...20 Figure 1-5 Ownership of the transmission lines of 230kv, 2013................................22 Figure 1-6 Current transmission system, 2009 .............................................................23 Figure 1-7 Expansion plan of the transmission system, 2008-2018...........................24 Figure 1-8 Renewable energy generation (gwh) years 2009, 2008 and 2007, respectively .........................................................................................................................25 Figure 1-9 Non-renewable energy generation (gwh) years 2009, 2008 and 2007, respectively .........................................................................................................................26

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Figure 1-10 Percentage of energy consumption by participant .............................28 Figure 1-11 Historic of energy consumed by distribution companies 1997-2009 ...30 Figure 1-12 Historic of steady demand by distribution companies 2002-2010 .......30 Figure 1-13 SPOT behavior 1998-2009 ...........................................................................31 Figure 1-14 Variation of energy demand vs. gdp 1997-2009 ....................................32 Figure 1-15 Variation of power demand vs. gdp 1997-2009 .....................................33 Figure 1-16 Hourly load curve, period 2006-2009........................................................34 Figure 1-17 Hourly load curve, period 1997-2006........................................................34 Figure 2-1 Energy and power demand scenarios ....................................................36 Figure 2-2 Projection of fuels during the period 2009-2015 .....................................37 Figure 3-1 Energy matrix, 2010 and 2015, case 1......................................................43 Figure 3-2 Energy dispatch, case 1.............................................................................43 Figure 3-3 Available power-demand, case 1 ...........................................................44 Figure 3-4 Demand marginal cost, case 1 ................................................................46 Figure 3-5 Energy matrix, 2010 and 2015, case 2......................................................48 Figure 3-6 Energy dispatch, case 2.............................................................................49 Figure 3-7 Available power-demand, case 2 ...........................................................50 Figure 3-8 Demand marginal cost, case 2 ................................................................52 Figure 3-9 Energy matrix, 2010 and 2015, case 3......................................................54 Figure 3-10 Energy dispatch, case 3.............................................................................55 Figure 3-11 Available power-demand, case 3 ...........................................................56 Figure 3-12 Demand marginal cost, case 3 ................................................................57 Figure 3-13 Energy matrix, 2010 and 2015, case 4......................................................59 Figure 3-14 Energy dispatch, case 4.............................................................................60 Figure 3-15 Available power-demand, case 4 ...........................................................61 Figure 3-16 Demand marginal cost, case 4 ................................................................62 Figure 3-17 Energy matrix, 2010 and 2015, case 5......................................................63 Figure 3-18 Energy dispatch, case 5.............................................................................64 Figure 3-19 Available power-demand, case 5 ...........................................................65 Figure 3-20 Demand marginal cost, case 5 ................................................................66 Figure 3-21 Nodal losses factor, load nodes 69kv.......................................................69 Figure 3-22 Nodal losses factor, load nodes 69kv.......................................................69 Figure 3-23 Nodal losses factor, new pet nodes 230kv..............................................70 Figure 3-24 Nodal losses factor, new pet nodes 230kv..............................................70 Figure 3-25 Nodal losses factor, existing nodes 230kv................................................71 Figure 3-26 Nodal losses factor, existing nodes 230kv................................................71 Tables

Table 1-1 Steady demand period 2010-2011 ...............................................................17 Table 1-2 Efficient steady supply period 2010-2011.....................................................18 Table 1-3 Length (km) of lines of sin by voltage level .................................................20 Table 1-4 Length (km) of lines of sin by transmission company .................................20 Table 1-5 Length (km) of transmission lines of pet by lot ............................................21 Table 1-6 National power grid indicators during 2009 ................................................25 Table 1-7 Distributing companies & region...................................................................27

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Table 1-8 Energy consumption by participant.............................................................28 Tabla 2-1 GDP growth rates (%) according to scenario demand ............................35 Table 2-2 Demand scenarios 2010-2015 .......................................................................36 Table 2-3 Initial price of fuels...........................................................................................37 Table 2-4 New power plants ...........................................................................................38

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EXECUTIVE SUMMARY

This document’s goal is point the prospects of the electricity supply of the National Electric System and identify the likely scenarios of its behavior in the medium term (2010-2015).

For this study we have established the followings scenarios: demand (medium and high) and the fuel price trend (high and reference). We simulated the start-up of the following hydroelectric power stations: Xacbal (07/2010), Santa Teresa (08/2010), El Manantial (06/2011), El Cóbano (12/2011), Palo Viejo (06/2012) and San Cristóbal (06/2013); the geothermal power stations: Duke Phase 1 (06/2010), Duke Phase 2 (01/2011), Esi (11/2012) and Jaguar (05/2013); and Guatemala-México 80 MW Interconnection (08/2013) (increase to the capacity already in operation of 120 MW).

The following table shows the scenarios combination, which were simulated with the model of economic dispatch in the period (2010-2015).

Case Type of Demand

Fuel Trend Plants

1 Medium Reference Table 2-4 2 Medium High Table 2-4 3 High Referencie Table 2-4 4 High High Table 2-4 5 Medium Referencie

The fifth case determinate the generation technology type that delete the volatility of demand marginal cost in the transition of dry season to wet season and that demand marginal cost decreases after year 2015.

The following table shows a summary of the results, indicating the percentage of generation by fuel type for year 2010 and 2015, generation with bunker year 2015, the average of demand marginal cost and the probable deficit in the study period. We can observe the increase produced in generation with base fuel due to the start-up of the geothermal power station Jaguar, and the start-up of the hydroelectric power stations Xacbal, San Cristobal, Santa Teresa, El Manantial, El Cóbano and Palo Viejo, which reduces in a significant percentage generation with bunker.

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Results table, summary

Coal Bunker Hydro

Case Type of

Demand Fuel Trend

2010

(%

)

2015

(%

)

2010

(%

)

2015

(%

)

2010

(%

)

2015

(%

)

Generation whit Bunker year 2015

(GWh)

Average Demand Marginal Cost

2010-2015 (US$/MWh)

Probable Deficit

2010-2015 (MWh)

1 Medium Reference 16.3 40.8 14.8 0.6 41.4 43.8 56.70 93.11 0.00

2 Medium High 16.2 41.0 14.8 0.6 41.4 43.8 57.26 114.47 0.00

3 High Reference 15.9 41.0 17.0 1.3 40.2 41.1 141.40 109.47 0.00

4 High High 15.9 40.8 17.0 1.2 40.1 41.7 125.91 131.55 0.00

5 Medium Reference 16.3 35.1 14.7 0.2 41.5 47.5 24.64 83.23 0.00

Page 10: Comisión Nacional de Energía Eléctrica Term Perspectives for Electricity Supply.pdfComisión Nacional de Energía Eléctrica President Carlos Eduardo Colom Bickford Director Enrique

INTRODUCTION

The Strategic Projects Division as part of National Electric Energy Commission presents it´s “Medium-term prospects (2010-2015) for electricity supply of the National Electric System”, which considered the generating plants in commercial operation until date, also including new generating projects that are close to start-up, including the interconnection with Mexico (which increases its existing capacity of 120MW to 200MW); hydroelectric power stations: Xacbal, San Cristobal, Santa Teresa, El Manantial, El Cóbano and Palo Viejo; and geothermal power stations: Jaguar, Esi and Duke.

In this technical study is evaluated the energy dispatch, the available power of generating plants, the demand marginal cost and the energy matrix for a period of five years taking into consideration the electricity demand, hydrology and trend of fuel costs. For this purpose were performed two demand scenarios and two fuel trend scenarios.

The activities developed in the study´s preparation included the following activities:

a) Prepare the demand growth projection for the period 2010 - 2015 in two representative scenarios.

b) Identification of two scenarios for fuel prices according to the projections made by the U.S. Energy Information Administration, EIA.

c) Prepare the list of generating projects under construction which have a certainty of the start-up date.

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d) Determination of the simulation premises for different scenarios of fuel prices and demand growth.

e) Simulation of the energy dispatch of the generating plants considered in the study, starting operation in the specified time.

GOALS

1. Determine the prospects for electricity supply of National Electric System identifying the likely scenarios for his behavior in the medium term (2010-2015).

2. Estimate the demand marginal cost to short-term (Spot price) in the National Power Grid considering the start-up of new generating plants in addition to existing generation facilities.

3. Determine that the start-up of new generating plants to the National Power Grid will increase the reliability and will improve the quality of the electricity supply.

4. Set up technology of generating that eliminates the volatility of demand marginal cost, in the period of transition from dry season to wet season, and reduce the demand marginal cost after 2015.

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5. Provide a technical-economic guide to the investor, national and foreign, to report about the growth prospects of the electric sub-sector to facilitate their decisions.

6. Estimate the Factors of nodal losses in the National Power Grid, considering the building facilities in the Expansion Plan of the Transmission System 2008-2018.

CAPÍTULO 1 NATIONAL ELECTRIC SUBSECTOR

NATIONAL ELECTRIC MARKET

The regulatory structure in which is supports the Guatemalan electric sub-sector is based on a competitive market allowing the access to the National Power Grid to any individual or legal person who wants it, fulfilling the legal requirements established by the General Law of Electricity and its Regulations, thereby setting a balanced system of supply and demand prices, creating the conditions for competition. Prices are set by the regulator when there is existence of natural monopolies. In the Guatemalan electric sub-sector are five participants: Generating,

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Transmission and Distributing Companies; Power Marketers and Large power users; Article 6 of the General Law of Electricity provides definitions for each one of them being these:

a) Generating Company: An individual or legal person who owns or is in possession of a power generating station and who sells commercially all or part of its output.

b) Transmission Company: An individual or legal person owning a facility for electricity transmission and transformation.

c) Distributing Company: An individual or legal person who owns or is in possession of facilities intended for the commercial distribution of electricity.

d) Power Marketer: An individual or legal person whose activities are related to the purchase and sale of blocks of power, without itself being engaged in power generation, transmission, distribution, or consumption.

e) Large power user: A customer whose power demand exceeds the ceiling specified for such purpose in regulations under this law (100kW maximum demand).

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The generation activity takes place in a free and competitive context, composed for an opportunity market or short-term market that is based on the energy dispatch at marginal cost and a term market or long-term market where the terms are freely agreed as regards the period, the price and the amount of power and energy to hire. The transmission and distribution activities are regulated by standards issued by the regulator system, in this case the National Electric Energy Commission.

The Wholesale Market Administrator is a private nonprofit entity that coordinates transactions among the participants of the Wholesale Market, to ensure a free market competition, with clear rules and to encourage electric system investments, as well as watch over to keep quality of the electricity supply service in Guatemala.

LEGAL STRUCTURE

The legal structure which governs the electric sub-sector is based on the following:

I. General Law of Electricity, Decree No. 93-96

II. Regulation of the General Law of Electricity, Government Agreement No. 256-97 and its reforms

III. Wholesale Market Administrator, Government Agreement No. 299-98 and its reforms

IV. Technical Standards issued by the National Electric Energy Commission

V. Commercial and Operative Coordination Standards of the Wholesale Market Administrator

The General Law of Electricity is the base for electricity issues and it is supported on the following principles:

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I. The existence of an unrestricted market for electricity generation, with no requirement of prior State authorization or condition other than the ones provided in the Constitution and laws of Guatemala. However, the use of the State’s property for these purposes will require proper authorization by the Ministry when the central’s power exceeds 5MW.

II. The existence of an unrestricted market for the transmission of electricity, as long as there is no public property to be used for it, and likewise, there exists a free market for private electricity distribution service.

III. Authorization is required for power transmission where public property is required to be used, and for distribution of power to the final customer.

IV. Electric service rates may be freely set, except for transmission and distribution service rates for which an authorization is required. Wholesale power transfers between generating companies, power marketers, importers and exporters shall be regulated as provided in this law.

NATIONAL ELECTRIC MARKET STRUCTURE

The Guatemalan electric sub-sector is structured on the following way:

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Ministry of Energy and Mines –MEM–: It is the body of the State responsible of the formulation and coordination of policies, State plans, indicative programs related to the electric sub-sector. In charge of reviewing that the authorization process of generating plants installation and that provision service of transportation and distribution, is according to law. Likewise, it is in charge of all juridical regime issues applicable to generation, transmission, distribution and commercialization of electricity, hydrocarbons and mining resources exploitation.

National Electric Energy Commission –CNEE–: It is the regulator of the electric sub-sector responsible of reviewing the fulfillment of the General Law of Electricity and its Regulations with planning functions; bidding new generation and expanding the Transmission System to satisfy National Power Grid needs. It creates conditions according to the Law, for any individual or legal person that could develop the activities of generation, transmission, distribution or commercialization; strengthening those activities with the emission of technical standards and disciplinary actions, as well as defining the tariffs and calculation methodology.

Wholesale Market Administrator –AMM–: Private entity responsible of dispatching and programming the operation and coordination of the National Power Grid, "SNI" (by its Spanish acronym), within the quality requirements of service and security, also the post-dispatch and the administration of commercial transactions of the Wholesale Market. Its aim is to guarantee the proper functioning of the SNI and the interconnections.

Generating Co.

Power Marketers

Transmission Co.

Large Power Users

Distributing Co.

Figure 1-1 Electric Sub-Sector Structure

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STEADY DEMAND & EFFICIENT STEADY SUPPLY

The Steady Demand1 for 2010-2011 is shown below:

Table 1-1 Steady Demand period 2010-2011i

Steady Demand 2010-2011

Participants MW %

EEM 103.90 6% Large Power Users 358.94 23% Distributing Companies 1125.93 71% Total 1588.77 100%

Figure 1-2 Steady Demand

Source: AMM, Steady Demand 2010-2011

1 Steady Demand: This is the power demand calculated by the Wholesale Market Administrator (AMM), that has to be contracted by each Distributor or Major User.

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We describe below the Efficient Steady Supply2 by fuel type for the period 2010-2011:

Table 1-2 Efficient Steady Supply Period 2010-2011ii

Efficient Steady Supply 2010-2011

Fuel type MW %

Geothermal 27.69 1% Coal 143.45 7% Sugar Mills (bunker) 157.10 8% Diesel 135.27 7% Biomass 208.02 11% Hydro 665.97 34% Bunker 642.74 32% Total 1980.24 100%

Figure 1-3 Efficient Steady Supply by fuel type

2 Efficient Steady Supply: This is the maximum power amount that a power station can compromise in contracts to fulfill the Steady Demand calculated based on its maximum power, its availability and the efficiency of the power station.

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Source: AMM, Efficient Steady Supply 2010-2011

CURRENT TRANSMISSION SYSTEM

The transmission system in Guatemala has an infrastructure that allows the electricity supply from the principal generating plants to the consumption centers, as shown in the table below through a network of 1063 Km approximately, in voltages of 138 kV and 230 kV, and a transformation capacity of 1445 MVA in 230 kV and 319 MVA in 138 kV.

For 69 kV of voltage are around of 2687 Km of transmission lines that allows to supply Distribution System s and Large power users, the transformation capacity amounts to 760 MVA.

In Guatemala, there are four companies that provide electric power transportation service, being those with the highest number of km owned the “Empresa de Transporte y Control de Energía Eléctrica” of the “Instituo Nacional de Electrificación” –ETCEE– (by its Spanish acronym) and “Transportista Eléctrica Centroamericana S.A.” –TRELEC– (by its Spanish acronym). However, the

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transmission system also includes transmission lines owned to Wholesale Market Agents, whose aim is the connection to the National Power Grid.

Table 1-3 Length (Km) of lines of SIN by voltage leveliii

Voltage (kV) Length (Km) 230 766 138 297 69 2687

Total 3750

Table 1-4 Length (Km) of lines of SIN by Transmission Companyiv

Transmission Company Length (Km) by voltage level 230 kV 138 kV 69 kV Total

Empresa de Transporte y Control de Energía Eléctrica

669 297 1432 2398

Redes Eléctricas de Centroamérica, S.A. - - 696 696 Duke Energy Intenational Transmision Guatemala,

Ltda 33 - - 33

Transportista Eléctrica Centroamericana, S.A. 64 - 559 623 Total 766 297 2687

The figure below shows the ownership of the transmission lines for 230kV y 69kV in percentage; the 100% of the 138kV transmission lines are property of ETCEE.

Figure 1-4 Ownership of the transmission lines of 230kV and 69kV, respectively

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EXPANSION PLAN OF THE TRANSMISSION SYSTEM 2008-2018

The Expansion plan of the Transmission System –PET– (by its Spanish acronym) was based on satisfy the SNI needs regarding electricity transmission. We identified the critical points in the system and raised new projects of transmission lines, substations and their respective equipment.

The works comprising the PET are arranged in five loops Metropacific, Hydraulic, Atlantic, Eastern and Western. These loops are comprised of six lots as shown in the table below:

Table 1-5 Length (Km) of transmission lines of PET by lotv

Lot Length (Km)

230kV A 91 B 211 C 102 D 186 E 115 F 140

Total 845

On January 20, 2010, the Ministry of Energy and Mines (MEM) issued a resolution which approves and awards the electricity service provision through the adjudication of the value of the annual canon to the Consortium EEG-EDM Guatemala Project.

Finally, on February 22, 2010, the authorization contract for the execution transmission works of the lots A, B, C, D, E and F is signed; with 845 Km of transmission lines approximately, awarded as a result of the International Open Tender process for the provision of electricity transmission service through the adjudication of the value of the annual canon to the company “Transportadora de Energía de Centroamérica, Sociedad Anónima” –TRECSA– (by its Spanish acronym) constituted in Guatemala by the Consortium EEG-EDM Guatemala Project.

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Whit the PET culmination, 2013, the SNI will have an approximate of 1611 Km of 230kV transmission lines, of which 52.45% will belong to TRECSA.

The following figure shows the ownership of the transmission lines of 230kV once concluded the PET.

Figure 1-5 Ownership of the transmission lines of 230kV, 2013

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Figure 1-6 Current Transmission System, 2009

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Figure 1-7 Expansion Plan of the Transmission System, 2008-2018

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INDICATORS OF NATIONAL POWER GRID

For the period from January 1 to December 31, 2009, the total of energy generation was 8,014.67 GWh, of which 99.5% were generated locally, and 0.5% were imported from the Regional Electricity Market –MER– (by its Spanish acronym). The energy exported to the MER was 94.10 GWh, being this the 1.17% of the total generation of the country, reaching a 22% of participation on the energy injections into the MER. The internal consumption of energy reached 7,597.86 GWh including: own consumption of units, of generating plants and equipment of electricity transmission.

The average of the opportunity price was 103.24 US$/MWh, showing a decrease of 16.69% over the previous year. The maximum power demand occurred on December 15, 2009 reaching 1,472.47 MW. The load factor calculated for the system was 61.41%.

Table 1-6 National Power Grid indicators during 2009vi

National Power Grid indicators, 2009 Local Generation 7977.47 GWh Internal Consumption 7597.86 GWh Exports 94.10 GWh Imports 37.21 GWh SPOT Price (Average) 103.24 US$/MWh Maximum Demand 1472.47 MW Load Factor 61.41 %

Source: AMM, 2009 Statistical Report

Figure 1-8 Renewable Energy Generation (GWh) years 2009, 2008 and 2007, respectivelyvii

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Figure 1-9 Non-Renewable Energy Generation (GWh) years 2009, 2008 and 2007, respectively

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ELECTRICITY DISTRIBUTION SYSTEM

The distribution system of Guatemala consists of lines, substations and distribution networks operating at medium voltage. In Guatemala, there are three main companies that offer the service of electricity distribution, as well as municipal enterprises, in the following table we indicate these companies and the region in which they serve.

Table 1-7 Distributing Companies & Region

Distributing Company Region

Empresa Eléctrica de Guatemala, S.A. (EEGSA) Central area (Guatemala, Escuintla, Sacatepéquez)

Distribuidora de Electricidad de Occidente, S.A. (DEOCSA)

North-South-West area

Distribuidora de Electricidad de Oriente, S.A. (DEORSA)

North-South-East area

Empresas Eléctricas Municipales

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Of 8,014.67 GWh that were obtained of the total generation 2009, 67.7% was consumed by distribution companies, being 35.7% consumed by EEGSA, 10.9% by DEORSA, 14.9% by DEOCSA and 6.2% by Municipal Electric Companies. The country's energy consumption is presented in the table below:

Table 1-8 Energy Consumption by Participant

Participants GWh

Power Marketers 1999.30 EEGSA 2863.66

DEORSA 873.83 DEOCSA 1195.29

Empresas Eléctricas Municipales 496.48

Own Consumption 30.23 Large Power Users 139.07

Losses 322.71 Exports 94.10 Total 8014.67

Source: AMM, 2009 Statistical Report

Figure 1-10 Percentage of Energy consumption by Participant

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ENERGY & POWER

The energy consumed by distributors has changed since the beginning of the market, from 471.1 to 1,195.3 GWh for DEOCSA, from 341.2 to 873.8 GWh for DEORSA and from 2,918.2 to 2,863.7 GWh for EEGSA; being the 39.41% and 39.05% for DEOCSA and DEORSA respectively, and 101.90% for EEGSA of the 2009´s energy.

In general, the Energy consumption by distribution companies ranged from 3,760.5 to 4,932.78 GWh from 1997 to 2009, increasing 24.37%.

The steady demand of distribution companies has changed since 2002 to 2010, from 217 to 316 MW for DEOCSA, from 148 to 216 MW for DEORSA and from 551to 594 MW for EEGSA; representing a growth of 31.33%, 31.48% and 7.24% for DEOCSA, DEORSA and EEGSA respectively, taking the 2009 as base year.

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In general, the power consumption by them ranged from 916 to 1,126 MW in the period 2002-2010, increasing 18.65%

Figure 1-11 Historic of Energy consumed by distribution companies 1997-2009

Figure 1-12 Historic of steady demand by distribution companies 2002-2010

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DEMAND MARGINAL COST TO SHORT-TERM (SPOT PRICE)

The behavior of marginal cost for the demand to short-term in the last twelve years is shown in the figure below:

Figure 1-13 SPOT behavior 1998-2009

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GROSS DOMESTIC PRODUCT (GDP)

The figures 1-13 and 1-14 show the relationship between energy demand variation and power demand variation (over the previous year) against GDP growth, both for the period 1997-2009

Figure 1-14 Variation of energy demand vs. GDP 1997-2009viii

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Figure 1-15 Variation of power demand vs. GDP 1997-2009

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LOAD CURVE

In the following figures you can appreciate the variation of the hourly load curve for the period 1997-2009.

Figure 1-16 Hourly load curve, period 2006-2009

Figure 1-17 Hourly load curve, period 1997-2006

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CAPÍTULO 2 STUDY PREMISES

To prepare this study, the National Commission of Electric Power took into consideration the following conditions:

DEMAND

The development of two scenarios for electricity demand growth is modeling by an econometric model which takes into account GDP and the number of electric power users as independent variables. Such model assumes a logistic relationship between energy demand and GDP, and a linear-exponential relationship between energy demand and the number of users. The following table shows the GDP data used to determinate de growth demand scenarios:

Tabla 2-1 GDP growth rates (%) according to scenario demand

Year Medium High

2010 1.2 2.6

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2011 2.5 3.1 2012 3.2 4.0 2013 4.1 4.9 2014 4.1 5.0 2015 4.3 4.8

Source: Own elaboration, based in national and international publications of financial entities.

The projections for energy and power demand growth for the study period are shown in the table below, for each were identified two scenarios.

Table 2-2 Demand scenarios 2010-2015

Year Energy demand (GWh) Power Demand (MW)

Scenario 1 (Medium)

Scenario 2 (High)

Scenario 1(Medium)

Scenario 2 (High)

2010 8,148.30 8,368.82 1,488.27 1,528.55 2011 8,448.58 8,742.76 1,538.20 1,591.76 2012 8,811.22 9,197.57 1,599.12 1,669.24 2013 9,253.04 9,735.52 1,673.98 1,761.27 2014 9,707.02 10,298.57 1,753.33 1,860.18 2015 10,188.81 10,864.72 1,837.45 1,959.35

Figure 2-1 Energy and power demand scenarios

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FUELS

The initial values for fuel prices are shown in table 2-3. The cost´s forecast was made from initial values, applying the tendency variation of the price of each fuel estimated by the Energy Information Administration (EIA) for carbon, bunker and diesel.

Table 2-3 Initial Price of fuels

Fuel type Price (US$ per MWh)

Coal 50.00 Bunker 115.00 Diesel 240.00 Bagasse 26.00 Geothermal 1.00

Figure 2-2 Projection of fuels during the period 2009-2015ix

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Source: EIA (Coal, Report # :DOE/EIA-0383(2010); Liquid fuels, Report # :DOE/EIA-0484(2009))

NEW GENERATING PLANTS

The Guatemala-Mexico Interconnection (400kV) was considered with an initial capacity of 120MW and at the end of the construction of PET works of 200MW, and was estimated that its variable cost is less than cost of internal combustion engines based on bunker, but higher than cost of base fuel plants (coal).

The parameters used to model the hydroelectric power stations: Xacbal, San Cristobal, Santa Teresa, El Manantial, El Cóbano and Palo Viejo, and the geothermal power stations: Duke, Esi and Jaguar were obtained from access studies to transmission system, information submitted by developers projects and the respective resolutions of approval.

Table 2-4 New power plants

Start-up Project Power (MW)

Jun-10 Duke fase 1 40

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Jul-10 Hydroelectric Xacbal 94 Ago-10 Hydroelectric Santa Teresa 19.6 Jan-11 Duke fase 2 40 Jun-11 Hydroelectric El Manantial 35 Dec-11 Hydroelectric El Cóbano 7 Jun-12 Hydroelectric Palo Viejo 80 Nov-12 Esi 80 May-13 Jaguar 275 Jun-13 Hydroelectric San Cristóbal 10 Ago-13 Mexico Interconnection 803

Total 769.6

SIMULATED CASES

To simulate the cases, was taken into account different scenarios of demand, hydrology and fuels prices trends, likewise was taken into account the start-up operation of the new projects.

i. For cases 1 and 2 is considered medium demand and a combination of fuel price scenarios (reference and high), taking the 2003 as hydrology base year, as well the start-up of the plants listed in the table above.

ii. For cases 3 and 4 is considered high demand and a combination of fuel price scenarios (reference and high), taking the 2003 as hydrology base year, as well the start-up of the plants listed in the table above.

HYDROLOGY

3 The Guatemala – Mexico interconnection capacity represents an increase from 120 MW available to 200 MW.

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The information of flows for the study development were obtained from the data base that National Electric Power Commission used to carry out the Indicative Expansion Plan of the Generation System 2008-2018, and it was complemented with additional information provided by the National Institute of Electrification and the Wholesale Market Administrator.

The hydroelectric power stations Xacbal and Palo Viejo were modeled as daily regulation centrals because it had technical data to model it this way and hydroelectric power stations San Cristobal, Santa Teresa, El Manantial and El Cobano were modeled as passing centrals.

For the development of the different scenarios was considered the 2003 as a basis for hydrological simulation.

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CAPÍTULO 3 STUDY RESULTS

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CASE 1

DEMAND TYPE � � � FUEL TREND Medium � � � Reference

By May 2013 when the coal plant Jaguar start-up is estimated that coal generation will increase from 16.3% in 2010 to 40.8% in 2015, because of this, generation with bunker is reduced from 14.8% to 0.6%. It is estimated that the energy dispatch of bunker will be approximately 56.70 GWh in 2015. The average of demand marginal cost in these conditions will be approximately $ 93.11 per MWh. In these circumstances the probable deficit is zero.

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Figure 3-1 Energy matrix, 2010 and 2015, case 1

Figure 3-2 Energy dispatch, case 1

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Figure 3-3 Available power-demand, case 1

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Figure 3-4 Demand marginal cost, case 1

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CASE 2

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DEMAND TYPE � � � FUEL TREND Medium � � � High

By May 2013 when the coal plant Jaguar start-up is estimated that coal generation will increase from 16.2% in 2010 to 41.0% in 2015, because of this, generation with bunker is reduced from 14.8% to 0.6%. It is estimated that the energy dispatch of bunker will be approximately 57.26 GWh in 2015. The average of demand marginal cost in these conditions will be approximately $ 114.47 per MWh. In these circumstances the probable deficit is zero.

Figure 3-5 Energy Matrix, 2010 and 2015, case 2

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Figure 3-6 Energy dispatch, case 2

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Figure 3-7 Available power-demand, case 2

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Figure 3-8 Demand marginal cost, case 2

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CASE 3

DEMAND TYPE � � � FUEL TREND High � � � Reference

By May 2013 when the coal plant Jaguar start-up is estimated that coal generation will increase from 15.9% in 2010 to 41.0% in 2015, because of this, generation with bunker is reduced from 17.0% to 1.3%. It is estimated that the energy dispatch of bunker will be approximately 141.40 GWh in 2015. The average of demand marginal cost in these conditions will be approximately $ 109.47 per MWh. In these circumstances the probable deficit is zero.

Figure 3-9 Energy Matrix, 2010 and 2015, case 3

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Figure 3-10 Energy dispatch, case 3

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Figure 3-11 Available power-demand, case 3

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Figure 3-12 Demand marginal cost, case 3

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CASE 4

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DEMAND TYPE � � � FUEL TREND High � � � High

By May 2013 when the coal plant Jaguar start-up is estimated that coal generation will increase from 15.9% in 2010 to 40.8% in 2015, because of this, generation with bunker is reduced from 17.0% to 1.2%. It is estimated that the energy dispatch of bunker will be approximately 125.91 GWh in 2015. The average of demand marginal cost in these conditions will be approximately $ 131.55 per MWh. In these circumstances the probable deficit is zero.

Figure 3-13 Energy Matrix, 2010 and 2015, case 4

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Figure 3-14 Energy dispatch, case 4

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Figure 3-15 Available power-demand, case 4

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Figure 3-16 Demand marginal cost, case 4

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CASE 5

DEMAND TYPE � � � FUEL TREND Medium � � � Reference

This case considers the start-up of a 50MW geothermal power station from April 2014, further considered the start-up of a block of 50 MW of renewable distributed generation in blocks of 20MW by April 2013, 20MW by April 2014 and 10MW by April 2015. These power generation plants based on renewable resources eliminate the price volatility in the transition (May and June) of dry season to wet season.

Figure 3-17 Energy Matrix, 2010 and 2015, case 5

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Figure 3-18 Energy dispatch, case 5

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Figure 3-19 Available power-demand, case 5

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Figure 3-20 Demand marginal cost, case 5

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NODAL LOSSES

In the Guatemalan Electricity Market, the procedure to model and determine the economic value of losses in the transmission system is through the establishment of a losses factor in every single node of the National Interconnected System, whereby the electric power is valued in each network connection respect to a reference node. The value of the energy transferred to one node will be the energy price in the market affected by the nodal losses factor.

The nodal losses factor of energy according to Commercial Coordination Standard # 7, is set with a reference node (Guatemala-Sur-230kV) as the relationship between marginal cost of both nodes, when in that node the marginal cost incorporates transmissions marginal losses to the reference node.

In this study we determined the approximate nodal losses factors for case 1, in which new generation plants are expected to be installed in the future or in the nodes that represent a very important role in the National Interconnected System.

The calculation in this analysis considers the works of the Expansion Plan of the Transmission System 2008-2018 in commercial operation, so these factors can´t be considered definitive because the values in addition to the topology of the network depend on the seasonality, daily economic dispatch of load and demand in the SNI.

The nodal losses factors of the existing load bars 69kV tend to get better this means a drastic reduction of network losses, resulting in a benefit for users of electrical service.

The nodal losses factors of the nodes considered in of the Expansion Plan of the Transmission System 2008-2018 tend to vary in values close to one, due to the seasonality between wet and dry seasons, which could result in a benefit for the centrals that will be connected in the future.

The nodal losses factors of the existing load bars 230kV tend to get better this means a drastic reduction of network losses, resulting also in a benefit for users of electrical service.

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Figure 3-21 Nodal losses factor, load nodes 69kV

Figure 3-22 Nodal losses factor, load nodes 69kV

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Figure 3-23 Nodal losses factor, new PET nodes 230kV

Figure 3-24 Nodal losses factor, new PET nodes 230kV

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Figure 3-25 Nodal losses factor, existing nodes 230kV

Figure 3-26 Nodal losses factor, existing nodes 230kV

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CONCLUSIONS

I. The growth rate of energy and power demand shows a direct relationship to the

national Gross Domestic Product, from 2009 we can note a recovery, however natural phenomena may affect recovery.

II. On average, there is an increase from 16% to 41%, from 2010 to 2015 in generation with base fuel. The start-up of Jaguar in May 2013 significantly reduced the generation with bunker, this decrease will depend on demand conditions, hydrology and fuel costs.

III. To ensure safety and reliability of electricity supply is necessary that new generation plants considered in this study provide the energy needed to satisfy demand at minimum cost.

IV. The demand marginal cost (SPOT price) tends to decrease from the start-up of

hydroelectric power stations and base fuel plants, from 2015 is being necessary the start-up of new generation plants to stabilize in the long-term the trend of marginal cost. Due to this reduction in SPOT price is necessary that generation plants have contracts that guarantee their investment return.

V. In order to eliminate volatility of SPOT price in the transition from dry to wet season and to assure greater stability of that price after 2015 is convenient encourage the start-up of distributed renewable generation and a geothermal plant.

VI. In all cases we notice that renewable energy generation is over 50%.

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Year Case 1 Case 2 Case 3 Case 4

2010 (%) 57.6 57.6 55.9 55.9 2015 (%) 56.2 56.1 53.0 53.6

VII. Most of the nodal losses factors on the existing nodes of 69kV and 230kV tend to get better, resulting into a benefit for users of electrical service because a drastic reduction of network losses. The nodal losses factors of the nodes in the Expansion Plan of the Transmission System 2008-2018 tend to values close to 1, this will benefit the plants that will be connected to these nodes in the future.

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BIBLIOGRAPHY

1. Wholesale Market Administrator,

2009 Statistical Report,

Coordination Standards

https://www.amm.org.gt

2. National Commission of Electric Power,

Indicative Expansion Plan of the Generation System 2008-2018

Expansion Plan of the Transmission System 2008-2018

http://www.cnee.gob.gt

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ANEX A

ACRONYMS

AMM Administrador del Mercado Mayorista (Wholesale Market Administrator).

CNEE Comisión Nacional de Energía Eléctrica (National Commission of Electric Power).

EIA Energy Information Administration.

ETCEE Empresa de Transporte y Control de Energía Eléctrica.

INDE Instituto Nacional de Electrificación.

MEM Ministerio de Energía y Minas (Ministry of Energy and Mines).

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TRELEC Transportista Eléctrica Centroamericana.

TRECSA Transportadora de Energía de Centroamérica, S.A.

EEGSA Empresa Eléctrica de Guatemala, S.A.

DEORSA Distribuidora de Electricidad de Oriente, S.A.

DEOCSA Distribuidora de Electricidad de Occidente, S.A.

MEASURING UNITS

GWh Giga watts hour

kV Kilovolt

MVA Mega volt-ampere

MW Mega watt

MWh Mega watt hour

US$ USA Dollars

MULTIPLES

Prefix Symbol Factor

Kilo k 1,000

Mega M 1,000,000

Giga G 1,000,000,000

Tera T 1,000,000,000,000

ANEX B REFERENCES

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i Wholesale Market Administrator, Solid demand, http://www.amm.org.gt

ii Wholesale Market Administrator, Solid Offer and Efficient Solid Offer, http://www.amm.org.gt iii Ministry of Energy and Mines, Electricity Subsector, Energy Statistics Report 2001- 2008, http://www.mem.gob.gt iv TRELEC, Corporate Information, http://www.eegsa.com/informacion4.php Unión Fenosa, the company, high voltage lines, http://www.unionfenosa.com.gt/ v National Commission of Electric Power, Expansion Plan of the Transmission System 2008-2018 http://www.cnee.gob.gt

vi Wholesale Market Administrator, 2009 Statistical Report, http://www.amm.org.gt vii Wholesale Market Administrator, 2007-2009 Statistical Reports http://www.amm.org.gt

viii Banco de Guatemala, Gross Domestic Product -GDP-, 2001 Base and 1958 Base, Years: 1990 - 2007 (Variation Rate), http://www.banguat.gob.gt/inc/ver.asp?id=/mapa/default.htm

ix Energy Information Administration (EIA), AEO2009 National Energy Modeling System, 2009, http://www.eia.doe.gov