Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of...
-
Upload
piero-della-maggiora -
Category
Documents
-
view
219 -
download
0
Transcript of Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of...
7/31/2019 Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of Concentrated Solar …
http://slidepdf.com/reader/full/influence-of-solar-energy-resource-assessment-uncertainty-in-the-levelized 1/5
Influence of solar energy resource assessment uncertainty in the levelizedelectricity cost of concentrated solar power plants in Chile
Matías Hanel, Rodrigo Escobar*
Department of Mechanical and Metallurgical Engineering, Ponti ficia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Chile
Keywords:
Solar power
Chile
Parabolic trough
a b s t r a c t
The deployment of renewable energy power plants is a priority of the Chilean government. A mandatory
quota system requires that 5% of the electricity generated in the country must come from renewable
energy sources, gradually increasing to 10% by 2024. As of 2010, solar energy has received attention only
for small-scale future demonstration projects. Concentrated solar power (CSP) plants are an interesting
option for the country, especially when considering the high levels of solar radiation and clearness index
that are available in northern Chile. Here we present a thermal and economic analysis of CSP plants of the
parabolic trough type, comparing five different configurations including thermal energy storage and
fossil fuel backup. The electricity yields are obtained from hourly simulations that consider radiation
levels, solar field, and power plant characteristics. An economic model that includes the costs of
construction, operation and maintenance allows predicting the levelized electricity cost (LEC) as
a function of plant configuration and location. The results indicate that the plants can produce dis-
patchable electricity at a cost that is competitive and inversely proportional to radiation levels. A
sensitivity analysis is conducted in order to determine the influence of solar field area and radiation
levels, and the optimal plant configuration and solar field area are obtained as a result.
Ó 2012 Elsevier Ltd. All rights reserved.
1. Energy in Chile
The main energy sources that the country utilizes are oil and its
derivates, coal, and natural gas. The country does not produce any
of them in significant quantities, and it does not hold any mean-
ingful reserves that could be explored and exploited in the future.
As of 2009, Chile relies on fuel imports to meet its growing energy
demand, which combined with limited fossil fuel resources make
Chile a growing net importer of energy. Renewable energy sources
in use by the country comprise only hydroelectricity and wood-
based biomass, accounting for 24% of primary energy consump-
tion, while non-renewable sources account for the other 76%. The
electricity sector has begun to rely heavily on coal-fired powerplants, with up to 3 GW of capacity being planned to enter the
system in the next three tofive years. Thus, Chile is not only staying
dependent on imported energy, but is also switching to more
expensive sources such as liquefied natural gas, and to fuels of
greater environmental impacts such as coal. These two concrete
actions that Chile is taking in order to secure energy supply go
directly against the sustainable development definition. Therefore,
it is of critical importance for the country to achieve three primary
strategic goals: first, to provide adequate energy supplies in order
to continue its economic growth; second, to ensure that imported
energy is accessed through international markets to satisfy any
requirements that cannot be met by indigenous production; and
third, to ensure the development of indigenous energy sources at
a suf ficient rate such as needed for the substitution of imported
energy resources in order to rapidly achieve energy security and
a degree of energy independence.
Starting on 2010, a new law has been passed which requires
electricity distributors to provide 5% of their energy sales from
renewable energy sources, at average bided prices, increasing this
contribution to 10% by 2024. Thegovernment hopes to promote theuse of renewable energy for electricity generation, as a result of
modifying the electricity sector law, effectively removing barriers
for the incorporation of renewable energy plants. The law has
resulted in several wind and biomass energy power plants being
planned and entered into the environmental impact assessment
mechanisms. In general, Chile is thought to be abundantly endowed
with renewable energy but no large scale renewable energy
resource assessment has been conducted, and in particular for wind
and solar. Therefore, any energy planning effort that considers
these renewable sources is seriously impeded for the time being. In
the case of solar energy, large scale systems are not being planned* Corresponding author. Tel.: þ56 2 3545478.
E-mail address: [email protected] (R. Escobar).
Contents lists available at SciVerse ScienceDirect
Renewable Energy
j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / r e n e n e
0960-1481/$ e see front matter Ó 2012 Elsevier Ltd. All rights reserved.
doi:10.1016/j.renene.2012.01.056
Renewable Energy xxx (2012) 1e5
Please cite this article in press as: Hanel M, Escobar R, Influence of solar energy resource assessment uncertainty in the levelized electricity costof concentrated solar power plants in Chile, Renewable Energy (2012), doi:10.1016/j.renene.2012.01.056
7/31/2019 Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of Concentrated Solar …
http://slidepdf.com/reader/full/influence-of-solar-energy-resource-assessment-uncertainty-in-the-levelized 2/5
or even discussed. Regarding the power generation sector, the solar
thermal power plant technology is scarcely known. Solar energy
development in Chile is small, mostly focusing on water heating
applications for the residential sector. The total contribution of
solar energy to the primary energy consumption of Chile is negli-
gible [1].
1.1. Parabolic trough plants
It has been argued that Concentrating Solar Power (CSP) tech-
nologies are the most convenient in economics terms, with their
cost projections being such that they are becoming competitive
with traditional power plants even today [2,3]. The Parabolic
Trough Collector (PTC) power plant is the most developed and
proved, with commercial use in the US since 1985, and new plants
being built in Spain, USA, Morocco, Algeria, and plans to build in
other countries as well. The PTC concept is simple, and basically
focuses direct solar radiation in an absorber tube, which is located
at the center of an evacuated glass tube for minimizing thermal
losses. The concentration factors can be as large as 90 [4], and
commercial systems are available from 14 to 80 MW. The HTF is
heated in the absorber element of the concentrator array to
temperatures close to 400 C, and then transfers thermal energy tothe power block through a heat exchanger. A fossil-fired boiler can
supply backup heat during non-sunlight hours, or can stabilize the
steam thermodynamical state in order to maintain a constant
power generation. Given suf ficient solar input, the plants can
operate at full rated power using solar energy alone. Most of the
research on PTC plants is focused on achieving higher plant avail-
ability and ef ficiency, by means of thermal energy storage (TES),
improvement of the HTFs, better prediction of available solar
radiation, and direct steam generation (DSG) techniques [2e5]
(Fig. 1).
The PTC plants are becoming very competitive in the actual
context of high energy prices and environmental pressures [6e8]. A
great effort has been devoted to the development of adequate steps
for cost reduction, defining several research priorities with anestimated cost reduction potential of up to 40%: increase the scale
to plants larger than 50 MW, improve concentrator structure and
assembly, utilization of advanced energy storage schemes,
advanced reflectors, increase HTF temperature, and reduction of
parasitic loads [9,10]. Improvedassessment of solar energy resource
is perceived to be the first step in developing a technical program
that will lead to proper installation of CSP plants with economical
feasibility. An erroneous input for direct solar radiation can lead to
an erroneous size of collector field, which can result in severe
financial dif ficulties for the plant during operation. In this context,
computational simulation is perceived as the best tool for properly
estimating collector field size during the design stages of CSP PTC
plant planning [10,11]. Since all research and commercial applica-
tion of CSP plants has been done in geographical regions that
receive a lower average of solar energy than Chile [4,12] (Fig. 2), this
seems to indicate that the country presents a distinctive advantage
for CSP utilization, and that PTC plants installed in Chile could
display a better performance than what has been achieved in other
countries.
2. Potential in Chile for CSP plants
The potential in Chile for CSP plants has not being determined
on a large scale. It is possible to af firm that the Atacama Desert in
the northern part of the country is one of the best regions forsolar energy, based on energy density data from several sources
[4,12,13]. Chilean skies in the northern part of the country exhibit
the highest number of clear days of any region in the world, and as
such have attracted many astronomical observatories. Consump-
tion centers in the northern part of the country are mostly mining
industries, which consume the highest share of power generation
[1] with fundamentally constant demand. And the region is
a desert, with ample plains and flat, unused terrain. Therefore, all
three basic conditions for the development of solar thermal power
plants are met in the northern region of Chile: high levels of direct
solar irradiance during most of the year, availability of flat terrain,
and short distance to consumption centers [2].
However, the first necessary step in order to adequately perform
energy planning activities and especially solar energy conversionsystems design is to have precise solar energy availability databases
of low uncertainty, which unfortunately is not the case in Chile.
Although several data sources exist, they either lack on spatial and
Fig. 1. Schematic of a PTC CSP plant of the SEGS/LUZ systems, with thermal energy storage and auxiliary, fossil fuelfi
red backup boiler. From [16].
M. Hanel, R. Escobar / Renewable Energy xxx (2012) 1e52
Please cite this article in press as: Hanel M, Escobar R, Influence of solar energy resource assessment uncertainty in the levelized electricity costof concentrated solar power plants in Chile, Renewable Energy (2012), doi:10.1016/j.renene.2012.01.056
7/31/2019 Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of Concentrated Solar …
http://slidepdf.com/reader/full/influence-of-solar-energy-resource-assessment-uncertainty-in-the-levelized 3/5
temporalresolution, or exhibit highlevels of uncertainty thatmakes
them unsuitable for hourly simulation of solar power plants [13].
As seen in Fig. 3, which depicts several data sources for the city
of Calama in Northern Chile, there are significant differences in the
data: according to different sources for measurements, satellite
estimations, and weather simulation models, the maximum daily
values of solar radiation can be as high as 10.5 kWh/m 2day, or as
low as 6.7 kWh/m2day. This same situation is repeated for locations
throughout the country, where at least two or more data sources
are available. Thus, the question is: What data can a designer select
for dimensioning a CSP plant? And also, what is the impact on
selecting one data source instead of others? In what follows, we
briefly present the thermodynamical model that allows us to
perform hourly simulations of the CSP plant operation. This will
result in predictions of the total amount of electricity generated in
a year at a given location, for five different plant configurations.
Then, an economic model is also briefly described, which results in
a levelized electricity cost as a function of solar collector field area,
and radiation level.
3. Thermodynamic and economic model
A CSP plant can be of one of several different configurations,
depending on the solar field connection to the steam cycle, and the
presence of both a thermal energy storage and fossil-fuel backup
systems. Here we consider five basic configurations that include
most combinations present in a CSP plant. The first plant configu-
ration is direct power production, where a heat transferfluid passes
through the solar collectors and then through a series of heat
exchanger in order to produce superheated steam, which is in turn
injected to the power block. The second model uses indirect
Fig. 3. Several sources of solar radiation data in Northern Chile display signifi
cant differences.
Fig. 2. (right)e Annual mean of global horizontal radiation in Chile (from [13]; units in
kWh/m2day).
M. Hanel, R. Escobar / Renewable Energy xxx (2012) 1e5 3
Please cite this article in press as: Hanel M, Escobar R, Influence of solar energy resource assessment uncertainty in the levelized electricity costof concentrated solar power plants in Chile, Renewable Energy (2012), doi:10.1016/j.renene.2012.01.056
7/31/2019 Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of Concentrated Solar …
http://slidepdf.com/reader/full/influence-of-solar-energy-resource-assessment-uncertainty-in-the-levelized 4/5
thermal energy storage and adds a fossil backup. In this configu-
ration the heat transfer fluid in the solar collector circuit heats
a secondary fluid which is used for thermal storage, which in turn
delivers the thermal energy to the power block. The fossil backup
can be used in order to maintain continuous power production
when solar radiation is temporarily unavailable or at night. A
variation of this configuration lacks the fossil backup. The fourth
configuration id the direct storage with fossil backup, in which thefluid in the solar collector circuit is the same fluid used for thermal
storage. This fluid delivers its energy to the power block via a series
of heat exchangers. Finally another direct storage configuration
lacks the fossil fuel backup.
Details of the thermodynamic and economic models can be
obtained from [15], whichis readily available by email upon request
to the authors,and in [16,17]. For the solar field model the following
inputs are necessary: the aperture area measured in square meters,
which is set to 1,400,000 m2, computedbased onthe SEGS area that
have in average 6150 m2 per installed MW of aperture, with a solar
multiple of 2, andmultipliedby the relationbetween theyearly DNI
in the city of Antofagasta (w1.8 MWh/m2) and Kramer Junction
(w2.1 MWh/m2). The collector aperture in meters is the one for the
LS-3 structure. The hourly DNI and temperature are obtained from
databases [14]. For the thermal model the electricity production is
computed only for the first year; it is assumed that following years
behave in the same manner.
The economic model includes construction and operational
costs as indicated in Fig. 4. The result of the economic model is the
levelized energy cost, or LEC, which is the cost of energy that makes
the present value of the project zero. If the price of electricity is
higher than the LEC, the project is feasible. In other cases an
economic incentive from state should apply to make it interesting
to investors.
4. Results
The simulations weredone for Antofagasta (1800 kWh/m2 year),
Calama (3200 kWh/m2 year), and Santiago (1400 kWh/m2 year),
three cities in Chile that offer a range of annual radiation levels, and
which are located in the coast, desert, and central agricultural
regions.Fig. 5 shows the hourly electric energy produced with solar
energy for the 6th to the 11th of January at the three cities and for
different plant configurations. Both TES configurations flatten the
power production curve and translate energy to hours after sunset.
Fig. 6 shows the monthly average of hourly power production, with
bars indicating the best and worst months. Not surprisingly, Calama
is the best location for installing a solar trough plant of any config-
uration. All the plant configurations with direct energy production
show a better average with a large range between maximum and
minimum. A TES system modulates the energy production, making
the plants produce energy with a smaller range between max and
min. Finally, direct TES has a better performance than indirect TES,
since it doesn’t uses a heat exchanger between the storage system
and power block.
Fig. 6 also displays the computed LECs for each location, this
time adding the city of Copiapó (2500 kWh/m2 year). It can be
observed that the lower costs are associated to the Direct and
Indirect TES configurations using fossil backup. The highest cost
corresponds to the direct production strategy, which, as a solar-
only mode, is limited by the availability of sun hours and there-
fore has the least energy production for a similar investment as the
other configurations.
As mentioned, the sources for solar radiation in Chile display
a wide range of different data, which in occasions can reach a 40%
uncertainty or more as shown in Fig. 3. Thus, it is very dif ficult to
Fig. 5. Hourly simulation results for CSP plants in Antofagasta during six days in
January.
Fig. 4. A schematic depiction of the economic model used to predict generation costs.
Fig. 6. Average daily energy production for different plant confi
gurations at three locations (left) and LEC for CSP plants at different locations in Chile (right).
M. Hanel, R. Escobar / Renewable Energy xxx (2012) 1e54
Please cite this article in press as: Hanel M, Escobar R, Influence of solar energy resource assessment uncertainty in the levelized electricity costof concentrated solar power plants in Chile, Renewable Energy (2012), doi:10.1016/j.renene.2012.01.056
7/31/2019 Influence of Solar Energy Resource Assessment Uncertainty in the Levelized Electricity Cost of Concentrated Solar …
http://slidepdf.com/reader/full/influence-of-solar-energy-resource-assessment-uncertainty-in-the-levelized 5/5
argue that one has chosen the correct data until a good solar energy
resource assessment of validated, quality data has been developed
for the country. Fig. 7 shows the LEC and yearly Energy production
in Copiapó, as a function of the plant configuration, solar radiation,
and solar field area. It can be seen that, first, the optimal solar field
area depends on the radiation level for minimum LEC. Second, the
LEC variation as a function of solar radiation is significant, and
can result in a serious financial risk to investors if the uncertainty is
not taken into account. Also, considering terrain availabilityconstraints, the uncertainty in solar radiation data can also impact
site selection if one location is deemed to be too small when the
radiation is underestimated.
5. Conclusions
Chile is not a fossil energy producer; the country satisfies its
internal consumption based mainly on imported fuels. This makes
the country dependent on international markets in order to secure
its energy needs, which makes it vulnerable against supply
disruptions and price volatility.
The Chilean government is actively seeking to promote the
deployment of renewable energy plants by a mandatory quotasystem and also financial incentives. The successful deployment of
renewable energy in the country will depend on providing an
adequate investment environment, which in turn is affected by the
availability and quality of the renewable energy resources. In this
respect, a proper assessment of the solar energy resource has not
yet been performed in Chile, which results in some regions of the
country where there is simply no data available and others where
plenty of data exist, although with wide dispersion and often even
contradictory. This uncertainty in the data introduces a large
uncertainty in thefinalcost of thesolarelectricity, andit potentially
can have a significant impact on the financial side of an operation.
Therefore, it is necessary for Chile to improve the quality of avail-
able data, and also to derive means of at least reducing the data
uncertainty and thus the financial risk of a CSP project in the
country.
In what was presented, five different configurations of CSP
plants were analyzed for the local conditions in Chile, and an
economic model implemented in order to predict the LEC and
optimal plant size. It was seen that the LECis inversely proportional
to available radiation, and that the best locations for CSP are in the
Atacama Desert. However, both the LEC and optimal solar collector
field for minimum LEC display a significant dependence on solar
radiation, which is larger for small-scale plants. Considering
that the government is actively promoting the deployment of
a 5e10 MW plant, it is concluded that a strategy that minimizes
uncertainty in the LEC could gain an advantage by designing larger
plants.
References
[1] Balance Nacional de Energía 2008 (national energy balance 2008), down-loadable from www.cne.cl
[2] Price H, Lupfert E, Kearney D, Zarza E, Cohen G, Gee R, et al. Advances inparabolic trough solar power technology. Journal of Solar Energy Engineering2002;124:109e25.
[3] Sargent and Lundy consulting group. Assessment of parabolic trough andpower tower solar technology cost and performance forecasts. NREL/SR-550-35060; 2003.
[4] Duf fie JA, Beckman AW. Thermal engineering of thermal processes. 3rd Ed.New York, USA: Wiley & Sons, INC; 2006.
[5] Zarza Rojas, González Caballero, Rueda INDITEP. The first pre-commercial DSGsolar power plant. Solar Energy 2006;80:1270e6.
[6] Trieb F, Langniss O, Klaiss H. Solar electricity generation - A comparative viewof technologies, costs and enviromental impact. Solar Energy 1997;59:89e99.
[7] Kalogirou Lloyd, Ward. Modelling, optimization and performance evaluationof a parabolic trough solar collector steam generation system. Solar Energy1997;60:49e59.
[8] Thomas A. Solar steam generating systems using parabolic trough concen-trators. Energy Conversion Management 1996;37:215e45.
[9] Mills D. Advances in solar thermal electricity technology. Solar Energy 2004;76:19e31.
[10] Pitz-Paal Robert, Dersch Jürgen, Milow Barbara, Téllez Felix, Ferriere Alain,Langnickel Ulrich, Steinfeld Aldo, Karni Jacob, Zarza Eduardo, Popel Oleg.Development Steps for Parabolic Trough Solar Power Technologies with
Maximum Impact on Cost Reduction. Journal of Solar Energy Engineering2007;129:371e7. doi:10.1115/1.2769697.
[11] Quashning V, Kistner R, Ortmanss W. Inlfuence of direct normal irradiancevariation on the optimal parabolic trough field size: a problem solved withtechnical and economical simulations. Journal of solar energy engineering2002;124:160e4.
[12] Goswami Y, Kreith F, Kreider F. Introduction to Solar Energy Engineering. 1st.ed. USA: Taylor & Franciss; 2004.
[13] Sarmiento P. Energía Solar: Aplicaciones e Ingeniería. 3a Ed. Ediciones Uni-versitarias de Valparaíso; 1995.
[14] Ortega A, Escobar R, Colle S, Luna de Abreu S. The state of solar energyresource assessment in Chile. Renewable Energy 2010;35(11):2514e24.
[15] Hanel, M. Levelized Electricity Cost of Concentrated Solar Power Plants inChile. MsC thesis, Pontificia Universidad católica de Chile (2010)
[16] Patnode, A. (2006). Simulation and Performance Evaluation of ParabolicTrough Solar Power Plants. MSc thesis. University of Wisconsin-Madison.
[17] IEA.. Guidelines for the economic analysis of renewable energy technologyapplications; 1991.
Fig. 7. LEC and energy production considering uncertainty in the solar radiation data.
M. Hanel, R. Escobar / Renewable Energy xxx (2012) 1e5 5
Please cite this article in press as: Hanel M, Escobar R, Influence of solar energy resource assessment uncertainty in the levelized electricity costof concentrated solar power plants in Chile, Renewable Energy (2012), doi:10.1016/j.renene.2012.01.056