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Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility

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  • Gimelli, Alfredo
  • Muccillo, Massimiliano

Abstract

Cogeneration is commonly recognized as one of the most effective solutions to achieve the increasingly stringent requirements in primary energy consumption reduction and greenhouse emissions reduction. The potential of cogeneration led to the adoption of specific directives promoting this technique. In addition, distributed generation plays a strategic role in power reliability. The study and prototyping of cogeneration plants has thus involved many research centers. Similar activities were carried out by DiME (University of Naples). These activities highlighted the need to study the cogeneration system-user interaction to estimate the real energetic and economic benefits.

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  • Gimelli, Alfredo & Muccillo, Massimiliano, 2013. "Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility," Applied Energy, Elsevier, vol. 104(C), pages 910-923.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:910-923
    DOI: 10.1016/j.apenergy.2012.11.076
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    References listed on IDEAS

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    1. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    2. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    3. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    4. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    5. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
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    12. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    13. Caresana, F. & Pelagalli, L. & Comodi, G. & Renzi, M., 2014. "Microturbogas cogeneration systems for distributed generation: Effects of ambient temperature on global performance and components’ behavior," Applied Energy, Elsevier, vol. 124(C), pages 17-27.
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    15. Pipicelli, Michele & Muccillo, Massimiliano & Gimelli, Alfredo, 2023. "Influence of the control strategy on the performance of hybrid polygeneration energy system using a prescient model predictive control," Applied Energy, Elsevier, vol. 329(C).
    16. Alfredo Gimelli & Massimiliano Muccillo, 2018. "The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems," Energies, MDPI, vol. 11(4), pages 1-21, April.
    17. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
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    19. Teng, Sin Yong & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav & Stehlík, Petr, 2021. "Debottlenecking cogeneration systems under process variations: Multi-dimensional bottleneck tree analysis with neural network ensemble," Energy, Elsevier, vol. 215(PB).
    20. Isa, Normazlina Mat & Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M. & Lau, Kwan Yiew, 2016. "A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital," Energy, Elsevier, vol. 112(C), pages 75-90.
    21. Thu, Kyaw & Saha, Bidyut Baran & Chua, Kian Jon & Bui, Thuan Duc, 2016. "Thermodynamic analysis on the part-load performance of a microturbine system for micro/mini-CHP applications," Applied Energy, Elsevier, vol. 178(C), pages 600-608.

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