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Optimal design and operation of integrated solar combined cycles under emissions intensity constraints

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  • Brodrick, Philip G.
  • Brandt, Adam R.
  • Durlofsky, Louis J.

Abstract

Direct integration of solar thermal and natural gas systems can be achieved through integrated solar combined cycle (ISCC) power generation. In this work, optimal ISCC system design and hourly operations are determined simultaneously using computational optimization procedures. The full optimization problem is intractable, so a series of problem reductions are employed to explore the ISCC design space while ensuring that individual designs can operate feasibly for a wide range of operating conditions and under realistic constraints. We construct bi-objective Pareto fronts for two conflicting objectives: net present value (NPV) and average CO2 emissions intensity of power produced. A variety of ISCC designs are explored to find a superior configuration with physically feasible annual solar contribution (ASC) of up to 20%, a significant improvement over published designs. We then explore the sensitivity of the results to economic factors such as discount rate, power price, and capital cost. By examining the Pareto frontiers of each case, we quantify the economic cost of reduced CO2 emissions. The resulting ISCC-derived mitigation costs are found to be competitive with other CO2 mitigation technologies.

Suggested Citation

  • Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.
    • Handle: RePEc:eee:appene:v:226:y:2018:i:c:p:979-990
    DOI: 10.1016/j.apenergy.2018.06.052
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    6. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
    7. Georgios Martinopoulos & Anna Serasidou & Panagiota Antoniadou & Agis M. Papadopoulos, 2018. "Building Integrated Shading and Building Applied Photovoltaic System Assessment in the Energy Performance and Thermal Comfort of Office Buildings," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    8. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
    9. Wang, Gang & He, Dongyou & Wang, Fasi & Chen, Zeshao, 2024. "Design and performance estimate of a novel linear fresnel reflector solar-gas combined system for producing electricity and hydrogen," Renewable Energy, Elsevier, vol. 227(C).
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    12. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    13. Untrau, Alix & Sochard, Sabine & Marias, Frédéric & Reneaume, Jean-Michel & Le Roux, Galo A.C. & Serra, Sylvain, 2024. "Storage management in a rolling horizon Dynamic Real-Time Optimization (DRTO) methodology for a non-concentrating solar thermal plant for low temperature heat production," Applied Energy, Elsevier, vol. 360(C).
    14. Bai, Zhang & Liu, Qibin & Gong, Liang & Lei, Jing, 2019. "Investigation of a solar-biomass gasification system with the production of methanol and electricity: Thermodynamic, economic and off-design operation," Applied Energy, Elsevier, vol. 243(C), pages 91-101.
    15. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
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    Keywords

    CO2; ISCC; Solar thermal; NGCC; Computational optimization;
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