Capacity credit evaluation: A literature review

Pudaruth, G.R.; Li, F.

doi:10.1109/drpt.2008.4523872

Cited by 18 publications

(10 citation statements)

References 21 publications

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“…The capacity values are given as a percentage of the 1,080 MW-e nameplate generating capacity of the deployments. The figure shows that CSP plants tend to have higher capacity values than wind generators, which is consistent with previous findings [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37]. This is both because of the coincidence between solar resource availability and peak loads, as well as the dispatchability of CSP with TES.…”

Section: Revenue Estimatessupporting

confidence: 81%

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Transmission Benefits of Co-Locating Concentrating Solar Power and Wind

Sioshansi¹,

Denholm²

2012

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NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. Executive SummaryThis report discusses and analyzes the potential benefits of co-locating wind and concentrating solar power (CSP) plants in the southwestern United States. Using a location in western Texas as a case study, we demonstrate that such a deployment strategy can improve the capacity factor of the combined plant and the associated transmission investment. This is because of two synergies between wind and CSP. One is that real-time wind and solar resource availability tend to be slightly negatively correlated. The other is that low-cost and highly efficient thermal energy storage (TES) can be incorporated into CSP. TES allows solar generation to be shifted and used to fill-in excess transmission capacity not being used by wind. Adding TES in a transmission constrained system can reduce, but not eliminate curtailment, especially during periods of extended high wind output and high solar output. Adding transmission constraints associated with co-location also reduces performance, including the inability of CSP to provide maximum output during periods of both high demand and significant wind output. Overall the economic tradeoff between transmission costs and system performance is highly sensitive to assumptions regarding transmission and CSP costs. Using data from the years 2004 and 2005, we demonstrate that a number of deployment configurations, which include up to 56% CSP (on a capacity and energy basis) yield a positive net return on investment.vi

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Section: Revenue Estimatessupporting

confidence: 81%

“…A number of different capacity value estimation techniques have been applied to wind [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36] and CSP [37]. These include reliability theory-based methods and capacity factor-based approximations.…”

Section: Revenue Estimatesmentioning

confidence: 99%

Transmission Benefits of Co-Locating Concentrating Solar Power and Wind

Sioshansi¹,

Denholm²

2012

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“…The steps used to calculate the ELCC of a CSP generator 2 1. For a given set of conventional generators, the LOLE of the system without the CSP plant is calculated using the following formula:…”

Section: Effective Load Carrying Capabilitymentioning

confidence: 99%

“…The CSP plant is added to the system and the LOLE is recalculated. This is shown in (2) as LOLE CSP , where C i is the output of the CSP plant in hour i. Since the CSP plant has been added to the system, LOLE CSP will be lower than LOLE (indicating a more reliable system with lower LOLPs).…”

Section: Effective Load Carrying Capabilitymentioning

confidence: 99%

Capacity Value of Concentrating Solar Power Plants

Madaeni¹,

Sioshansi²,

Denholm³

2011

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NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. Executive SummaryThis study estimates the capacity value of a concentrating solar power (CSP) plant at a variety of locations within the western United States. This is done by optimizing the operation of the CSP plant and by using the effective load carrying capability (ELCC) metric, which is a standard reliability-based capacity value estimation technique. Although the ELCC metric is the most accurate estimation technique, we show that a simpler capacity-factor-based approximation method can closely estimate the ELCC value.Without storage, the capacity value of CSP plants varies widely depending on the year and solar multiple. The average capacity value of plants evaluated ranged from 45%-90% with a solar multiple range of 1.0-1.5. When introducing thermal energy storage (TES), the capacity value of the CSP plant is more difficult to estimate since one must account for energy in storage. We apply a capacity-factor-based technique under two different market settings: an energy-only market and an energy and capacity market. Our results show that adding TES to a CSP plant can increase its capacity value significantly at all of the locations. Adding a single hour of TES significantly increases the capacity value above the no-TES case, and with four hours of storage or more, the average capacity value at all locations exceeds 90%.

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“…According to the North American Electric Reliability Corporation (NERC), quantifying the contribution of renewable energy resources to resource adequacy of bulk power systems is a very important and emerging issue [1]. Therefore, assessing the adequacy of renewable generation technologies and consequently estimating their capacity value is crucial for accurate reliability and planning of power systems [2]. Previous analyses have considered the capacity value of wind [1,[3][4][5][6][7][8], photovoltaic (PV) solar [9][10][11][12][13][14], and concentrating solar power (CSP) plants [15].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Capacity Value Methods for Photovoltaics in the Western United States

Madaeni¹,

Sioshansi²,

Denholm³

2012

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NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. AbstractThis report compares different capacity value estimation techniques applied to solar photovoltaics (PV). It compares more robust data and computationally intense reliability-based capacity valuation techniques to simpler approximation techniques at 14 different locations in the western United States. The capacity values at these locations are computed while holding the underlying power system characteristics fixed. This allows the effect of differences in solar availability patterns on the capacity value of PV to be directly ascertained, without differences in the power system confounding the results. Finally, it examines the effects of different PV configurations, including varying the orientation of a fixed-axis system and installing single-and double-axis tracking systems, on the capacity value. The capacity value estimations are done over an eight-year running from 1998 to 2005, and both long-term average capacity values and interannual capacity value differences (due to interannual differences in solar resource availability) are estimated. Overall, under the assumptions used in the analysis, we find that some approximation techniques can yield similar results to reliability-based methods such as effective load carrying capability.v

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Capacity credit evaluation: A literature review

Cited by 18 publications

References 21 publications

Transmission Benefits of Co-Locating Concentrating Solar Power and Wind

Transmission Benefits of Co-Locating Concentrating Solar Power and Wind

Capacity Value of Concentrating Solar Power Plants

Comparison of Capacity Value Methods for Photovoltaics in the Western United States

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