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Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems

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  • Urbanucci, Luca
  • Bruno, Joan Carles
  • Testi, Daniele

Abstract

Polygeneration energy systems are proven to be a reliable, competitive and efficient solution for energy production. The recovery of otherwise wasted energy is the primary reason for the high efficiency of polygeneration systems. In this paper, the integration of a high-temperature heat pump within a trigeneration system is investigated. The heat pump uses the low-temperature heat from the condenser of the absorption chiller as heat source to produce hot water. A numerical model of the heat pump cycle is developed to evaluate the technical viability of current heat pump technology for this application and assess the performance of different working fluids. An exergy analysis is performed to show the advantages of the novel trigeneration system with respect to traditional systems for energy production. Moreover, a levelized cost of electricity method is applied to the proposed energy system to show its generic economic feasibility. Finally, actual energy demand data from an Italian pharmaceutical factory are considered to evaluate the economic savings obtainable with the integrated system, implemented in a case study. A two-level algorithm is proposed for the economic optimization of the investment. The synthesis/design problem is addressed by a genetic algorithm and the optimal operation problem is solved by a linear programming method. Results show that the integration of a high-temperature heat pump within a trigeneration system provides flexibility to cover variable energy demands and achieve valuable economic and energy performances, with global cost savings of around 40% with respect to separate production and around 10% with respect to traditional cogeneration and trigeneration systems.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:516-533
    DOI: 10.1016/j.apenergy.2019.01.115
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    1. 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.
    2. Vögelin, Philipp & Koch, Ben & Georges, Gil & Boulouchos, Konstatinos, 2017. "Heuristic approach for the economic optimisation of combined heat and power (CHP) plants: Operating strategy, heat storage and power," Energy, Elsevier, vol. 121(C), pages 66-77.
    3. Arpagaus, Cordin & Bless, Frédéric & Uhlmann, Michael & Schiffmann, Jürg & Bertsch, Stefan S., 2018. "High temperature heat pumps: Market overview, state of the art, research status, refrigerants, and application potentials," Energy, Elsevier, vol. 152(C), pages 985-1010.
    4. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    5. Jana, Kuntal & Ray, Avishek & Majoumerd, Mohammad Mansouri & Assadi, Mohsen & De, Sudipta, 2017. "Polygeneration as a future sustainable energy solution – A comprehensive review," Applied Energy, Elsevier, vol. 202(C), pages 88-111.
    6. 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.
    7. Murugan, S. & Horák, Bohumil, 2016. "Tri and polygeneration systems - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1032-1051.
    8. Espirito Santo, Denilson Boschiero do & Gallo, Waldyr Luiz Ribeiro, 2017. "Utilizing primary energy savings and exergy destruction to compare centralized thermal plants and cogeneration/trigeneration systems," Energy, Elsevier, vol. 120(C), pages 785-795.
    9. Piacentino, Antonio & Barbaro, Chiara, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part II: Analysis of the applicative potential," Applied Energy, Elsevier, vol. 111(C), pages 1222-1238.
    10. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2018. "Novel performance curves to determine optimal operation of CCHP systems," Applied Energy, Elsevier, vol. 226(C), pages 1009-1036.
    11. Ma, Tengfei & Wu, Junyong & Hao, Liangliang & Lee, Wei-Jen & Yan, Huaguang & Li, Dezhi, 2018. "The optimal structure planning and energy management strategies of smart multi energy systems," Energy, Elsevier, vol. 160(C), pages 122-141.
    12. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    13. Ommen, Torben & Markussen, Wiebke Brix & Elmegaard, Brian, 2014. "Heat pumps in combined heat and power systems," Energy, Elsevier, vol. 76(C), pages 989-1000.
    14. Tataraki, Kalliopi G. & Kavvadias, Konstantinos C. & Maroulis, Zacharias B., 2018. "A systematic approach to evaluate the economic viability of Combined Cooling Heating and Power systems over conventional technologies," Energy, Elsevier, vol. 148(C), pages 283-295.
    15. Caf, A. & Urbancl, D. & Trop, P. & Goricanec, D., 2016. "Exploitation of low-temperature energy sources from cogeneration gas engines," Energy, Elsevier, vol. 108(C), pages 86-92.
    16. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    17. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    18. Piacentino, Antonio & Barbaro, Chiara & Cardona, Fabio & Gallea, Roberto & Cardona, Ennio, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method," Applied Energy, Elsevier, vol. 111(C), pages 1204-1221.
    19. Li, Fan & Sun, Bo & Zhang, Chenghui & Zhang, Lizhi, 2018. "Operation optimization for combined cooling, heating, and power system with condensation heat recovery," Applied Energy, Elsevier, vol. 230(C), pages 305-316.
    20. Abdmouleh, Zeineb & Gastli, Adel & Ben-Brahim, Lazhar & Haouari, Mohamed & Al-Emadi, Nasser Ahmed, 2017. "Review of optimization techniques applied for the integration of distributed generation from renewable energy sources," Renewable Energy, Elsevier, vol. 113(C), pages 266-280.
    21. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
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    5. Pan, Zhenning & Yu, Tao & Li, Jie & Qu, Kaiping & Yang, Bo, 2020. "Risk-averse real-time dispatch of integrated electricity and heat system using a modified approximate dynamic programming approach," Energy, Elsevier, vol. 198(C).
    6. Mateu-Royo, Carlos & Navarro-Esbrí, Joaquín & Mota-Babiloni, Adrián & Molés, Francisco & Amat-Albuixech, Marta, 2019. "Experimental exergy and energy analysis of a novel high-temperature heat pump with scroll compressor for waste heat recovery," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Navarro-Esbrí, Joaquín & Fernández-Moreno, Adrián & Mota-Babiloni, Adrián, 2022. "Modelling and evaluation of a high-temperature heat pump two-stage cascade with refrigerant mixtures as a fossil fuel boiler alternative for industry decarbonization," Energy, Elsevier, vol. 254(PB).
    8. Jouhara, Hussam & Żabnieńska-Góra, Alina & Delpech, Bertrand & Olabi, Valentina & El Samad, Tala & Sayma, Abdulnaser, 2024. "High-temperature heat pumps: Fundamentals, modelling approaches and applications," Energy, Elsevier, vol. 303(C).
    9. Dino, Giuseppe E. & Palomba, Valeria & Nowak, Eliza & Frazzica, Andrea, 2021. "Experimental characterization of an innovative hybrid thermal-electric chiller for industrial cooling and refrigeration application," Applied Energy, Elsevier, vol. 281(C).
    10. Xu, Huining & Shi, Hao & Tan, Yiqiu & Ye, Qing & Liu, Xiujie, 2022. "Modeling and assessment of operation economic benefits for hydronic snow melting pavement system," Applied Energy, Elsevier, vol. 326(C).
    11. Tataraki, Kalliopi G. & Kavvadias, Konstantinos C. & Maroulis, Zacharias B., 2019. "Combined cooling heating and power systems in greenhouses. Grassroots and retrofit design," Energy, Elsevier, vol. 189(C).
    12. Stanislav Boldyryev & Mariia Ilchenko & Goran Krajačić, 2024. "Improving the Economic Efficiency of Heat Pump Integration into Distillation Columns of Process Plants Applying Different Pressures of Evaporators and Condensers," Energies, MDPI, vol. 17(4), pages 1-31, February.
    13. Jiang, Jiatong & Hu, Bin & Wang, R.Z. & Deng, Na & Cao, Feng & Wang, Chi-Chuan, 2022. "A review and perspective on industry high-temperature heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    14. Limei Gai & Petar Sabev Varbanov & Timothy Gordon Walmsley & Jiří Jaromír Klemeš, 2020. "Critical Analysis of Process Integration Options for Joule-Cycle and Conventional Heat Pumps," Energies, MDPI, vol. 13(3), pages 1-25, February.
    15. Cox, Jordan & Belding, Scott & Lowder, Travis, 2022. "Application of a novel heat pump model for estimating economic viability and barriers of heat pumps in dairy applications in the United States," Applied Energy, Elsevier, vol. 310(C).

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