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Effect of reliability considerations on the optimal synthesis, design and operation of a cogeneration system

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  • Frangopoulos, Christos A.
  • Dimopoulos, George G.

Abstract

In most of the publications on optimization of energy systems, it is considered that the equipment is available for operation at any instant of time (i.e. it is not subject to failure) except, perhaps, of pre-determined periods of maintenance. Thus, it is left to the designer to decide empirically how to provide the system with redundancy, which is necessary in case of equipment failure. However, in this way, the final configuration may not be optimal. In the present work, reliability and availability are introduced in the thermoeconomic model of the system, so that redundancy is embedded in the optimal solution; in addition, more realistic values are obtained for the cost and profit, if any. The state-space method (SSM) of reliability analysis is used. The optimization problem is formulated at two levels: (A) synthesis and design, (B) operation under time-varying conditions. For the solution of the problem at level A and also at level B with no failure, a genetic algorithm coupled with a deterministic one is used. In case of partial failure, the optimization problem is solved by the Intelligent Functional Approach (IFA). The use of IFA combined with SSM is proved to be very efficient for decision making regarding systems under partial failure. It turned out that reliability aspects have a direct and significant impact on the optimal result at each one of the three levels: synthesis, design and operation.

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  • Frangopoulos, Christos A. & Dimopoulos, George G., 2004. "Effect of reliability considerations on the optimal synthesis, design and operation of a cogeneration system," Energy, Elsevier, vol. 29(3), pages 309-329.
    • Handle: RePEc:eee:energy:v:29:y:2004:i:3:p:309-329
    DOI: 10.1016/S0360-5442(02)00031-2
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    1. Frangopoulos, Christos A., 1987. "Thermo-economic functional analysis and optimization," Energy, Elsevier, vol. 12(7), pages 563-571.
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    Cited by:

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    4. Silveira, Jose Luz & Lamas, Wendell de Queiroz & Tuna, Celso Eduardo & Villela, Iraides Aparecida de Castro & Miro, Laura Siso, 2012. "Ecological efficiency and thermoeconomic analysis of a cogeneration system at a hospital," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2894-2906.
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    11. Abusoglu, Aysegul & Kanoglu, Mehmet, 2009. "Exergoeconomic analysis and optimization of combined heat and power production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2295-2308, December.
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    13. 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.
    14. Zare, V., 2016. "Exergoeconomic analysis with reliability and availability considerations of a nuclear energy-based combined cycle power plant," Energy, Elsevier, vol. 96(C), pages 187-196.
    15. Dimopoulos, George G. & Kougioufas, Aristotelis V. & Frangopoulos, Christos A., 2008. "Synthesis, design and operation optimization of a marine energy system," Energy, Elsevier, vol. 33(2), pages 180-188.
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    18. Wang, Jiang-Jiang & Fu, Chao & Yang, Kun & Zhang, Xu-Tao & Shi, Guo-hua & Zhai, John, 2013. "Reliability and availability analysis of redundant BCHP (building cooling, heating and power) system," Energy, Elsevier, vol. 61(C), pages 531-540.
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