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Design Optimization of a Complex Polygeneration System for a Hospital

Author

Listed:
  • Sara Ghaem Sigarchian

    (Department of Energy Technology, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Anders Malmquist

    (Department of Energy Technology, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

  • Viktoria Martin

    (Department of Energy Technology, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden)

Abstract

Small-scale decentralized polygeneration systems have several energetic, economic and environmental benefits. However, using multiple energy sources and providing multiple energy services can lead to complicated studies which require advanced optimization techniques for determining optimal solutions. Furthermore, several parameters can influence the design and performance of a polygeneration system. In this study, the effects of heat load, renewable generation and storage units on the optimal design and performance of a polygeneration system for a hypothetical hospital located in northern Italy are investigated. The polygeneration system shows higher performance compared to the reference system, which is based on the separate generation of heat and power. It reduces fuel consumption by 14–32%, CO 2 emissions by 10–29% and annualized total cost by 7–19%, for various studied scenarios. The avoided fuel and electricity purchase of the polygeneration system has a positive impact on the economy. This, together with the environmental and energetic benefits if the renewable generation and use of storage devices, indicate the viability and competitiveness of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1071-:d:143422
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    References listed on IDEAS

    as
    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. 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.
    3. Greening, Benjamin & Azapagic, Adisa, 2014. "Domestic solar thermal water heating: A sustainable option for the UK?," Renewable Energy, Elsevier, vol. 63(C), pages 23-36.
    4. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    5. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
    6. Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005. "Distributed generation: definition, benefits and issues," Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
    7. Francesco Calise & Massimo Dentice D'Accadia & Antonio Piacentino & Maria Vicidomini, 2015. "Thermoeconomic Optimization of a Renewable Polygeneration System Serving a Small Isolated Community," Energies, MDPI, vol. 8(2), pages 1-30, January.
    8. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    9. Barbieri, Enrico Saverio & Spina, Pier Ruggero & Venturini, Mauro, 2012. "Analysis of innovative micro-CHP systems to meet household energy demands," Applied Energy, Elsevier, vol. 97(C), pages 723-733.
    10. 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.
    11. Bianchi, Michele & De Pascale, Andrea & Spina, Pier Ruggero, 2012. "Guidelines for residential micro-CHP systems design," Applied Energy, Elsevier, vol. 97(C), pages 673-685.
    12. Moya, M. & Bruno, J.C. & Eguia, P. & Torres, E. & Zamora, I. & Coronas, A., 2011. "Performance analysis of a trigeneration system based on a micro gas turbine and an air-cooled, indirect fired, ammonia–water absorption chiller," Applied Energy, Elsevier, vol. 88(12), pages 4424-4440.
    13. Buonomano, Annamaria & Calise, Francesco & Ferruzzi, Gabriele & Palombo, Adolfo, 2014. "Dynamic energy performance analysis: Case study for energy efficiency retrofits of hospital buildings," Energy, Elsevier, vol. 78(C), pages 555-572.
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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. George Kyriakarakos & Anastasios Dounis, 2020. "Intelligent Management of Distributed Energy Resources for Increased Resilience and Environmental Sustainability of Hospitals," Sustainability, MDPI, vol. 12(18), pages 1-4, September.
    3. Pablo Jimenez Zabalaga & Evelyn Cardozo & Luis A. Choque Campero & Joseph Adhemar Araoz Ramos, 2020. "Performance Analysis of a Stirling Engine Hybrid Power System," Energies, MDPI, vol. 13(4), pages 1-38, February.
    4. Angelo Algieri & Pietropaolo Morrone & Sergio Bova, 2020. "Techno-Economic Analysis of Biofuel, Solar and Wind Multi-Source Small-Scale CHP Systems," Energies, MDPI, vol. 13(11), pages 1-21, June.
    5. Pina, Eduardo A. & Lozano, Miguel A. & Ramos, José C. & Serra, Luis M., 2020. "Tackling thermal integration in the synthesis of polygeneration systems for buildings," Applied Energy, Elsevier, vol. 269(C).
    6. Tafone, Alessio & Raj Thangavelu, Sundar & Morita, Shigenori & Romagnoli, Alessandro, 2023. "Design optimization of a novel cryo-polygeneration demonstrator developed in Singapore – Techno-economic feasibility study for a cooling dominated tropical climate," Applied Energy, Elsevier, vol. 330(PB).

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