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A relaxation-based heuristic for the design of cost-effective energy conversion systems

Author

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  • Ahadi-Oskui, T.
  • Alperin, H.
  • Nowak, I.
  • Cziesla, F.
  • Tsatsaronis, G.

Abstract

Mathematicians and engineers have developed in a joint research project a solution approach for performing simultaneous structural and design variable optimization in the design of cost-effective complex energy conversion systems. The paper presents a methodology and an application to the design of a combined-cycle power plant that provides fixed amounts of electricity and steam for a paper factory. A superstructure that has embedded several potential configurations of such a cogeneration system is used to minimize the total cost of the plant products. The design problem is formulated as a nonconvex mixed-integer nonlinear program (MINLP), and solved via a rounding heuristic based on an automatically generated convex relaxation of the given problem. Utilities and the process industry are expected to benefit from such a MINLP optimization technique.

Suggested Citation

  • Ahadi-Oskui, T. & Alperin, H. & Nowak, I. & Cziesla, F. & Tsatsaronis, G., 2006. "A relaxation-based heuristic for the design of cost-effective energy conversion systems," Energy, Elsevier, vol. 31(10), pages 1346-1357.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:10:p:1346-1357
    DOI: 10.1016/j.energy.2005.05.016
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    Citations

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    Cited by:

    1. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    2. Adrian Bejan & George Tsatsaronis, 2021. "Purpose in Thermodynamics," Energies, MDPI, vol. 14(2), pages 1-25, January.
    3. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Quantitative analysis of energy-efficiency strategy on CO2 emissions in the residential sector in Japan - Case study of Iwate prefecture," Applied Energy, Elsevier, vol. 85(4), pages 204-217, April.
    4. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    5. Wang, Ligang & Voll, Philip & Lampe, Matthias & Yang, Yongping & Bardow, André, 2015. "Superstructure-free synthesis and optimization of thermal power plants," Energy, Elsevier, vol. 91(C), pages 700-711.
    6. Manassaldi, Juan I. & Mussati, Sergio F. & Scenna, Nicolás J., 2011. "Optimal synthesis and design of Heat Recovery Steam Generation (HRSG) via mathematical programming," Energy, Elsevier, vol. 36(1), pages 475-485.
    7. Ashina, Shuichi & Nakata, Toshihiko, 2008. "Energy-efficiency strategy for CO2 emissions in a residential sector in Japan," Applied Energy, Elsevier, vol. 85(2-3), pages 101-114, February.
    8. Qiao Zhao & Mounir Mecheri & Thibaut Neveux & Romain Privat & Jean-Noël Jaubert & Yann Le Moullec, 2023. "Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software," Energies, MDPI, vol. 16(14), pages 1-31, July.

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