Combined heat and power plants are recognized as very effective solutions to achieve the increasingly stringent requirements in primary energy saving. The paper addresses the use of a specifically developed methodology to conduct several analyses on the basis of the loads of a specific hospital facility and through the study of the cogeneration system-user interaction. Predictive analyses are carried out using a multi-objective approach to find optimized plant configurations that approaches the best energetic results while ensuring a reasonable profit. Optimized plant configurations and management strategies indicate primary energy savings exceeding 17%. Finally, a sensitivity analysis is carried out to evaluate the robustness of the results.

Multi-objective optimization and sensitivity analysis of a cogeneration system for a hospital facility / Muccillo, Massimiliano; Gimelli, Alfredo; Sannino, Raniero. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - Volume 81, 1 December 2015:(2015), pp. 585-596. (Intervento presentato al convegno 69th Conference of the Italian Thermal Engineering Association, ATI 2014 tenutosi a Milan; Italy nel 10 September 2014 through 13 September 2014) [10.1016/j.egypro.2015.12.043].

Multi-objective optimization and sensitivity analysis of a cogeneration system for a hospital facility

MUCCILLO, MASSIMILIANO;GIMELLI, ALFREDO;SANNINO, RANIERO
2015

Abstract

Combined heat and power plants are recognized as very effective solutions to achieve the increasingly stringent requirements in primary energy saving. The paper addresses the use of a specifically developed methodology to conduct several analyses on the basis of the loads of a specific hospital facility and through the study of the cogeneration system-user interaction. Predictive analyses are carried out using a multi-objective approach to find optimized plant configurations that approaches the best energetic results while ensuring a reasonable profit. Optimized plant configurations and management strategies indicate primary energy savings exceeding 17%. Finally, a sensitivity analysis is carried out to evaluate the robustness of the results.
2015
Multi-objective optimization and sensitivity analysis of a cogeneration system for a hospital facility / Muccillo, Massimiliano; Gimelli, Alfredo; Sannino, Raniero. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - Volume 81, 1 December 2015:(2015), pp. 585-596. (Intervento presentato al convegno 69th Conference of the Italian Thermal Engineering Association, ATI 2014 tenutosi a Milan; Italy nel 10 September 2014 through 13 September 2014) [10.1016/j.egypro.2015.12.043].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/649206
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