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Optimized dispatch in a first-principles concentrating solar power production model

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  • Wagner, Michael J.
  • Newman, Alexandra M.
  • Hamilton, William T.
  • Braun, Robert J.

Abstract

Concentrating solar power towers, which include a steam-Rankine cycle with molten salt thermal energy storage, is an emerging technology whose maximum effectiveness relies on an optimal operational and dispatch policy. Given parameters such as start-up and shut-down penalties, expected electricity price profiles, solar availability, and system interoperability requirements, this paper seeks a profit-maximizing solution that determines start-up and shut-down times for the power cycle and solar receiver, and the times at which to dispatch stored and instantaneous quantities of energy over a 48-h horizon at hourly fidelity. The mixed-integer linear program (MIP) is subject to constraints including: (i) minimum and maximum rates of start-up and shut-down, (ii) energy balance, including energetic state of the system as a whole and its components, (iii) logical rules governing the operational modes of the power cycle and solar receiver, and (iv) operational consistency between time periods.

Suggested Citation

  • Wagner, Michael J. & Newman, Alexandra M. & Hamilton, William T. & Braun, Robert J., 2017. "Optimized dispatch in a first-principles concentrating solar power production model," Applied Energy, Elsevier, vol. 203(C), pages 959-971.
    • Handle: RePEc:eee:appene:v:203:y:2017:i:c:p:959-971
    DOI: 10.1016/j.apenergy.2017.06.072
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    1. Medrano, Marc & Gil, Antoni & Martorell, Ingrid & Potau, Xavi & Cabeza, Luisa F., 2010. "State of the art on high-temperature thermal energy storage for power generation. Part 2--Case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 56-72, January.
    2. Nosrat, Amir & Pearce, Joshua M., 2011. "Dispatch strategy and model for hybrid photovoltaic and trigeneration power systems," Applied Energy, Elsevier, vol. 88(9), pages 3270-3276.
    3. Thorin, Eva & Brand, Heike & Weber, Christoph, 2005. "Long-term optimization of cogeneration systems in a competitive market environment," Applied Energy, Elsevier, vol. 81(2), pages 152-169, June.
    4. Pandžić, Hrvoje & Kuzle, Igor & Capuder, Tomislav, 2013. "Virtual power plant mid-term dispatch optimization," Applied Energy, Elsevier, vol. 101(C), pages 134-141.
    5. Martinez-Rojas, Marcela & Sumper, Andreas & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search," Applied Energy, Elsevier, vol. 88(12), pages 4678-4686.
    6. Parisio, Alessandra & Rikos, Evangelos & Tzamalis, George & Glielmo, Luigi, 2014. "Use of model predictive control for experimental microgrid optimization," Applied Energy, Elsevier, vol. 115(C), pages 37-46.
    7. Fürsch, Michaela & Hagspiel, Simeon & Jägemann, Cosima & Nagl, Stephan & Lindenberger, Dietmar & Tröster, Eckehard, 2013. "The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050," Applied Energy, Elsevier, vol. 104(C), pages 642-652.
    8. Pruitt, Kristopher A. & Braun, Robert J. & Newman, Alexandra M., 2013. "Evaluating shortfalls in mixed-integer programming approaches for the optimal design and dispatch of distributed generation systems," Applied Energy, Elsevier, vol. 102(C), pages 386-398.
    9. Cho, Heejin & Mago, Pedro J. & Luck, Rogelio & Chamra, Louay M., 2009. "Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme," Applied Energy, Elsevier, vol. 86(12), pages 2540-2549, December.
    10. Herrmann, Ulf & Kelly, Bruce & Price, Henry, 2004. "Two-tank molten salt storage for parabolic trough solar power plants," Energy, Elsevier, vol. 29(5), pages 883-893.
    11. Gil, Antoni & Medrano, Marc & Martorell, Ingrid & Lázaro, Ana & Dolado, Pablo & Zalba, Belén & Cabeza, Luisa F., 2010. "State of the art on high temperature thermal energy storage for power generation. Part 1--Concepts, materials and modellization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 31-55, January.
    12. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.
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    1. Murphy, C.A. & Schleifer, A. & Eurek, K., 2021. "A taxonomy of systems that combine utility-scale renewable energy and energy storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
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    3. Martinek, Janna & Jorgenson, Jennie & Mehos, Mark & Denholm, Paul, 2018. "A comparison of price-taker and production cost models for determining system value, revenue, and scheduling of concentrating solar power plants," Applied Energy, Elsevier, vol. 231(C), pages 854-865.
    4. González-Gómez, P.A. & Gómez-Hernández, J. & Ruiz, C. & Santana, D., 2022. "Can solar tower plants withstand the operational flexibility of combined cycle plants?," Applied Energy, Elsevier, vol. 314(C).
    5. Hoz, Jordi de la & Martín, Helena & Montalà, Montserrat & Matas, José & Guzman, Ramon, 2018. "Assessing the 2014 retroactive regulatory framework applied to the concentrating solar power systems in Spain," Applied Energy, Elsevier, vol. 212(C), pages 1377-1399.
    6. Ghirardi, Elisa & Brumana, Giovanni & Franchini, Giuseppe & Perdichizzi, Antonio, 2021. "The optimal share of PV and CSP for highly renewable power systems in the GCC region," Renewable Energy, Elsevier, vol. 179(C), pages 1990-2003.
    7. Abiodun, Kehinde & Hood, Karoline & Cox, John L. & Newman, Alexandra M. & Zolan, Alex J., 2023. "The value of concentrating solar power in ancillary services markets," Applied Energy, Elsevier, vol. 334(C).
    8. González-Gómez, P.A. & Gómez-Hernández, J. & Briongos, J.V. & Santana, D., 2018. "Transient thermo-mechanical analysis of steam generators for solar tower plants," Applied Energy, Elsevier, vol. 212(C), pages 1051-1068.
    9. Vasallo, Manuel Jesús & Cojocaru, Emilian Gelu & Gegúndez, Manuel Emilio & Marín, Diego, 2021. "Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1130-1149.
    10. Ellingwood, Kevin & Mohammadi, Kasra & Powell, Kody, 2020. "Dynamic optimization and economic evaluation of flexible heat integration in a hybrid concentrated solar power plant," Applied Energy, Elsevier, vol. 276(C).
    11. Gabriel J. Soto & Ben Lindley & Ty Neises & Cory Stansbury & Michael J. Wagner, 2022. "Dispatch Optimization, System Design and Cost Benefit Analysis of a Nuclear Reactor with Molten Salt Thermal Storage," Energies, MDPI, vol. 15(10), pages 1-23, May.
    12. Cojocaru, Emilian Gelu & Bravo, José Manuel & Vasallo, Manuel Jesús & Santos, Diego Marín, 2019. "Optimal scheduling in concentrating solar power plants oriented to low generation cycling," Renewable Energy, Elsevier, vol. 135(C), pages 789-799.
    13. Li, Xiaoen & Wang, Ningling & Wang, Ligang & Yang, Yongping & Maréchal, François, 2018. "Identification of optimal operating strategy of direct air-cooling condenser for Rankine cycle based power plants," Applied Energy, Elsevier, vol. 209(C), pages 153-166.
    14. Calderón, Alejandro & Palacios, Anabel & Barreneche, Camila & Segarra, Mercè & Prieto, Cristina & Rodriguez-Sanchez, Alfonso & Fernández, A. Inés, 2018. "High temperature systems using solid particles as TES and HTF material: A review," Applied Energy, Elsevier, vol. 213(C), pages 100-111.
    15. McPherson, Madeleine & Mehos, Mark & Denholm, Paul, 2020. "Leveraging concentrating solar power plant dispatchability: A review of the impacts of global market structures and policy," Energy Policy, Elsevier, vol. 139(C).
    16. Jesse G. Wales & Alexander J. Zolan & William T. Hamilton & Alexandra M. Newman & Michael J. Wagner, 2023. "Combining simulation and optimization to derive operating policies for a concentrating solar power plant," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 119-150, March.
    17. Fernández-Torrijos, M. & Albrecht, K.J. & Ho, C.K., 2018. "Dynamic modeling of a particle/supercritical CO2 heat exchanger for transient analysis and control," Applied Energy, Elsevier, vol. 226(C), pages 595-606.
    18. Cruz, N.C. & Salhi, S. & Redondo, J.L. & Álvarez, J.D. & Berenguel, M. & Ortigosa, P.M., 2018. "Hector, a new methodology for continuous and pattern-free heliostat field optimization," Applied Energy, Elsevier, vol. 225(C), pages 1123-1131.
    19. Ana Carolina do Amaral Burghi & Tobias Hirsch & Robert Pitz-Paal, 2020. "Artificial Learning Dispatch Planning for Flexible Renewable-Energy Systems," Energies, MDPI, vol. 13(6), pages 1-21, March.
    20. Ana Carolina do Amaral Burghi & Tobias Hirsch & Robert Pitz-Paal, 2020. "Artificial Learning Dispatch Planning with Probabilistic Forecasts: Using Uncertainties as an Asset," Energies, MDPI, vol. 13(3), pages 1-25, February.
    21. Kahvecioğlu, Gökçe & Morton, David P. & Wagner, Michael J., 2022. "Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices," Applied Energy, Elsevier, vol. 326(C).
    22. Kong, Yanqiang & Wang, Weijia & Yang, Lijun & Du, Xiaoze, 2020. "Energy efficient strategies for anti-freezing of air-cooled heat exchanger," Applied Energy, Elsevier, vol. 261(C).

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