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Multi-objective optimization of a trigeneration plant

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  • Kavvadias, K.C.
  • Maroulis, Z.B.

Abstract

A multi-objective optimization method was developed for the design of trigeneration plants. The optimization is carried out on technical, economical, energetic and environmental performance indicators in a multi-objective optimization framework. Both construction (equipment sizes) and discrete operational (pricing tariff schemes and operational strategy) variables were optimized based on realistic conditions. The problem is solved using a multi-objective evolutionary algorithm. An example of a trigeneration system in a 300 bed hospital was studied in detail in order to demonstrate the design procedure, the economic and energetic performance of the plant, as well as the effectiveness of the proposed approach even under fluctuating energy prices.

Suggested Citation

  • Kavvadias, K.C. & Maroulis, Z.B., 2010. "Multi-objective optimization of a trigeneration plant," Energy Policy, Elsevier, vol. 38(2), pages 945-954, February.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:2:p:945-954
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    References listed on IDEAS

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    1. Arcuri, P. & Florio, G. & Fragiacomo, P., 2007. "A mixed integer programming model for optimal design of trigeneration in a hospital complex," Energy, Elsevier, vol. 32(8), pages 1430-1447.
    2. Badami, M. & Mura, M. & Campanile, P. & Anzioso, F., 2008. "Design and performance evaluation of an innovative small scale combined cycle cogeneration system," Energy, Elsevier, vol. 33(8), pages 1264-1276.
    3. Chicco, Gianfranco & Mancarella, Pierluigi, 2007. "Trigeneration primary energy saving evaluation for energy planning and policy development," Energy Policy, Elsevier, vol. 35(12), pages 6132-6144, December.
    4. Mavrotas, George & Diakoulaki, Danae & Florios, Kostas & Georgiou, Paraskevas, 2008. "A mathematical programming framework for energy planning in services' sector buildings under uncertainty in load demand: The case of a hospital in Athens," Energy Policy, Elsevier, vol. 36(7), pages 2415-2429, July.
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