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An analytical study of critical factors in residential cogeneration optimization

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  • Gelegenis, John
  • Mavrotas, George

Abstract

An analytical study is elaborated to determine the principal factors that affect the optimum size of combined heat and power (CHP) units in residential applications. The optimum thermal capacity of CHP was found to correspond to 30–50% of the maximum heating load, but proved to be stronger correlated to the annual heating degree-days instead of the minimum temperature of the area. The optimum capacity was found dependent on the balance temperature of the dwelling; the shape of the ambient temperature duration curve; the economy of scale exponent of CHP units cost; the variation of CHP part load efficiencies. On the contrary, prevailing energy prices proved to have a minor effect on the optimum CHP capacity.

Suggested Citation

  • Gelegenis, John & Mavrotas, George, 2017. "An analytical study of critical factors in residential cogeneration optimization," Applied Energy, Elsevier, vol. 185(P2), pages 1625-1632.
    • Handle: RePEc:eee:appene:v:185:y:2017:i:p2:p:1625-1632
    DOI: 10.1016/j.apenergy.2015.12.097
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    References listed on IDEAS

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    1. Klimenko, V.V. & Krasheninnikov, S.M. & Fedotova, E.V., 2022. "CHP performance under the warming climate: a case study for Russia," Energy, Elsevier, vol. 244(PB).
    2. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    3. Calise, Francesco & Dentice d'Accadia, Massimo & Libertini, Luigi & Quiriti, Edoardo & Vicidomini, Maria, 2017. "A novel tool for thermoeconomic analysis and optimization of trigeneration systems: A case study for a hospital building in Italy," Energy, Elsevier, vol. 126(C), pages 64-87.

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