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A novel tool for thermoeconomic analysis and optimization of trigeneration systems: A case study for a hospital building in Italy

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  • Calise, Francesco
  • Dentice d'Accadia, Massimo
  • Libertini, Luigi
  • Quiriti, Edoardo
  • Vicidomini, Maria

Abstract

This paper presents a detailed numerical analysis of a trigeneration system serving a hospital, aiming at determining the best economic operating strategy. In this paper, a novel approach is presented aiming at developing a detailed tool to be used to predict the real time performance of the trigeneration system and to optimize its operation designing efficient control strategy. To this scope, a detailed dynamic simulation model was developed in TRNSYS environment. The simulated system provides electrical, thermal and cooling energy. It includes: a natural gas fired reciprocating engine, heat exchangers for waste-heat recovery, a single-stage LiBr-H2O Absorption Chiller (ACH), a cooling tower, pumps, a backup boiler, a backup vapor-compression electric chiller, storage tanks, valves, mixers. For such components, suitable control strategies and detailed algorithms were implemented in order to develop a model as much realistic as possible. To this scope, cooling and thermal loads were estimated by implementing detailed building dynamic simulations strictly related to the trigeneration system model.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:126:y:2017:i:c:p:64-87
    DOI: 10.1016/j.energy.2017.03.010
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    References listed on IDEAS

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    Cited by:

    1. Chen, Xiaoyuan & Chen, Yu & Zhang, Mingshun & Jiang, Shan & Gou, Huayu & Pang, Zhou & Shen, Boyang, 2021. "Hospital-oriented quad-generation (HOQG)—A combined cooling, heating, power and gas (CCHPG) system," Applied Energy, Elsevier, vol. 300(C).
    2. Li, Longxi & Yu, Shiwei & Mu, Hailin & Li, Huanan, 2018. "Optimization and evaluation of CCHP systems considering incentive policies under different operation strategies," Energy, Elsevier, vol. 162(C), pages 825-840.
    3. Picallo-Perez, Ana & Catrini, Pietro & Piacentino, Antonio & Sala, José-Mª, 2019. "A novel thermoeconomic analysis under dynamic operating conditions for space heating and cooling systems," Energy, Elsevier, vol. 180(C), pages 819-837.
    4. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    5. Ighball Baniasad Askari & Francesco Calise & Maria Vicidomini, 2019. "Design and Comparative Techno-Economic Analysis of Two Solar Polygeneration Systems Applied for Electricity, Cooling and Fresh Water Production," Energies, MDPI, vol. 12(22), pages 1-35, November.
    6. Gimelli, A. & Muccillo, M., 2019. "Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system," Energy, Elsevier, vol. 181(C), pages 803-814.
    7. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2017. "Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller," Energy, Elsevier, vol. 139(C), pages 1052-1065.
    8. Francesco Calise & Francesco Liberato Cappiello & Massimo Dentice d’Accadia & Luigi Libertini & Maria Vicidomini, 2020. "Dynamic Simulation and Thermoeconomic Analysis of a Trigeneration System in a Hospital Application," Energies, MDPI, vol. 13(14), pages 1-18, July.
    9. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    10. Sara Ghaem Sigarchian & Anders Malmquist & Viktoria Martin, 2018. "Design Optimization of a Complex Polygeneration System for a Hospital," Energies, MDPI, vol. 11(5), pages 1-24, April.
    11. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.
    12. Usón, Sergio & Uche, Javier & Martínez, Amaya & del Amo, Alejandro & Acevedo, Luis & Bayod, Ángel, 2019. "Exergy assessment and exergy cost analysis of a renewable-based and hybrid trigeneration scheme for domestic water and energy supply," Energy, Elsevier, vol. 168(C), pages 662-683.
    13. Calise, F. & Cappiello, F.L. & Cimmino, L. & Vicidomini, M., 2022. "Dynamic simulation modelling of reversible solid oxide fuel cells for energy storage purpose," Energy, Elsevier, vol. 260(C).
    14. 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.
    15. Luis Gabriel Gesteira & Javier Uche, 2022. "A Novel Polygeneration System Based on a Solar-Assisted Desiccant Cooling System for Residential Buildings: An Energy and Environmental Analysis," Sustainability, MDPI, vol. 14(6), pages 1-18, March.

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