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Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants

Author

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  • Benedetto Conte

    (Department of Mechanical Engineering, University Rovira i Virgili, CREVER-Research Group on Applied Thermal Engineering, Avda. Països Catalans 26, Tarragona 43007, Spain)

  • Joan Carles Bruno

    (Department of Mechanical Engineering, University Rovira i Virgili, CREVER-Research Group on Applied Thermal Engineering, Avda. Països Catalans 26, Tarragona 43007, Spain)

  • Alberto Coronas

    (Department of Mechanical Engineering, University Rovira i Virgili, CREVER-Research Group on Applied Thermal Engineering, Avda. Països Catalans 26, Tarragona 43007, Spain)

Abstract

Trigeneration plants can use different types of chillers in the same plant, typically single effect and double effect absorption chillers, vapour compression chillers and also cooling storage systems. The highly variable cooling demand of the buildings connected to a district heating and cooling (DHC) network has to be distributed among these chillers to achieve lower operating costs and higher energy efficiencies. This problem is difficult to solve due to the different partial load behaviour of each chiller and the different chiller combinations that can cover a certain cooling demand using an appropriate sizing of the cooling storage. The objective of this paper is to optimize the daily plant operation of an existing trigeneration plant based on cogeneration engines and to study the optimal cooling load sharing between different types of absorption chillers using a mixed integer linear programming (MILP) model. Real data from a trigeneration plant connected to a DHC close to Barcelona (Spain) is used for the development of this model. The cooling load distribution among the different units is heavily influenced by the price of the electricity sold to the grid which rules the duration of the operation time of the engines. The main parameter to compare load distribution configurations is the primary energy saving indicator. Cooling load distribution among the different chillers changes also with the load of the whole plant because the chiller performance changes with load.

Suggested Citation

  • Benedetto Conte & Joan Carles Bruno & Alberto Coronas, 2016. "Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants," Energies, MDPI, vol. 9(8), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:573-:d:74629
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    References listed on IDEAS

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    Cited by:

    1. Francesco Calise & Massimo Dentice D’Accadia, 2016. "Simulation of Polygeneration Systems," Energies, MDPI, vol. 9(11), pages 1-9, November.
    2. Marco Pellegrini & Augusto Bianchini, 2018. "The Innovative Concept of Cold District Heating Networks: A Literature Review," Energies, MDPI, vol. 11(1), pages 1-16, January.
    3. Urbanucci, Luca & Bruno, Joan Carles & Testi, Daniele, 2019. "Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems," Applied Energy, Elsevier, vol. 238(C), pages 516-533.
    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. 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.
    6. Sheykhi, Mohammad & Chahartaghi, Mahmood & Safaei Pirooz, Amir Ali & Flay, Richard G.J., 2020. "Investigation of the effects of operating parameters of an internal combustion engine on the performance and fuel consumption of a CCHP system," Energy, Elsevier, vol. 211(C).
    7. Ryszard Bartnik & Zbigniew Buryn & Anna Hnydiuk-Stefan & Waldemar Skomudek & Aleksandra Otawa, 2020. "Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold," Energies, MDPI, vol. 13(4), pages 1-33, February.

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