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A methodology for determining optimum solar tower plant configurations and operating strategies to maximize profits based on hourly electricity market prices and tariffs

Guédez, Rafael (author)
KTH,Kraft- och värmeteknologi
Ferragut, F. (author)
Hassar, Z. (author)
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Topel, Monika (author)
KTH,Kraft- och värmeteknologi
Callaba, I. (author)
Pérez-Segarra, C. D. (author)
Buezas, I. C. (author)
Spelling, J. (author)
Laumert, Björn (author)
KTH,Kraft- och värmeteknologi
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 (creator_code:org_t)
ASME Press, 2015
2015
English.
In: ASME 2015 9th International Conference on Energy Sustainability, ES 2015, collocated with the ASME 2015 Power Conference, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum. - : ASME Press. - 9780791856840
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The present study analyses the influence that market conditions have on determining optimum molten salt solar tower plants with storage that maximize profits (in terms of plant configuration, sizing and operation) for a location in South Africa. Three different scenarios based on incentive programs and local wholesale electricity prices are considered. A multi-objective optimization modeling approach was followed, showing the trade-off curves between minimizing investment and maximizing profits when varying critical sizerelated parameters (such as nameplate capacity, solar multiple and storage capacity) together with power-cycle design and operating specifications including dynamic start-up curves and different storage dispatchability strategies. Results are shown by means of a comparative analysis between optimal plants found for each scenario, highlighting the value that storage has under the current two-tier tariff scheme, and the relevance of designing a suitable policy for technology development. Lastly, a final analysis is performed with regards of the indicators used for economic evaluation of power plants, by comparing the differences between optimum designs found when using the levelized cost of electricity solely as performance indicator instead of cash-flows and profit-based indicators, such as the internal rate of return.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)

Keyword

Carbon
Cell engineering
Climate control
Cogeneration plants
Costs
Curve fitting
Earnings
Economic analysis
Economic and social effects
Electric power system control
Electric power system economics
Electric power transmission networks
Environmental technology
Geothermal energy
Historic preservation
Investments
Multiobjective optimization
Optimization
Power markets
Profitability
Solar energy
Solar power generation
Storage (materials)
Sustainable development
Comparative analysis
Economic evaluations
Internal rate of return
Levelized cost of electricities
Multi-objective optimization models
Performance indicators
Technology development
Wholesale electricity
Smart power grids

Publication and Content Type

ref (subject category)
kon (subject category)

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