IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v238y2019icp516-533.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919301163
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.01.115?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Briola, Stefano & Gabbrielli, Roberto & Baccioli, Andrea & Fino, Andrea & Bischi, Aldo, 2021. "Thermo-economic analysis of a novel trigeneration cycle enabled by two-phase machines," Energy, Elsevier, vol. 227(C).
    2. Gheorghe Dumitrașcu & Michel Feidt & Ştefan Grigorean, 2021. "Finite Physical Dimensions Thermodynamics Analysis and Design of Closed Irreversible Cycles," Energies, MDPI, vol. 14(12), pages 1-19, June.
    3. Uusitalo, Antti & Turunen-Saaresti, Teemu & Honkatukia, Juha & Tiainen, Jonna & Jaatinen-Värri, Ahti, 2020. "Numerical analysis of working fluids for large scale centrifugal compressor driven cascade heat pumps upgrading waste heat," Applied Energy, Elsevier, vol. 269(C).
    4. Bai, Zhang & Yuan, Yu & Kong, Debin & Zhou, Shengdong & Li, Qi & Wang, Shuoshuo, 2023. "Potential of applying the thermochemical recuperation in combined cooling, heating and power generation: Off-design operation performance," Applied Energy, Elsevier, vol. 348(C).
    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. 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).
    9. 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).
    10. 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).
    11. 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 1-33, February.
    12. 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).
    13. 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.
    14. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Sara Ghaem Sigarchian & Anders Malmquist & Viktoria Martin, 2018. "Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran," Energies, MDPI, vol. 11(5), pages 1-19, May.
    3. J. Villarroel-Schneider & Anders Malmquist & Joseph A. Araoz & J. Martí-Herrero & Andrew Martin, 2019. "Performance Analysis of a Small-Scale Biogas-Based Trigeneration Plant: An Absorption Refrigeration System Integrated to an Externally Fired Microturbine," Energies, MDPI, vol. 12(20), pages 1-30, October.
    4. Chen, Yue & Wei, Wei & Liu, Feng & Shafie-khah, Miadreza & Mei, Shengwei & Catalão, João P.S., 2018. "Optimal contracts of energy mix in a retail market under asymmetric information," Energy, Elsevier, vol. 165(PB), pages 634-650.
    5. 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.
    6. 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.
    7. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    8. Mo, Qiu & Liu, Fang, 2020. "Modeling and optimization for distributed microgrid based on Modelica language," Applied Energy, Elsevier, vol. 279(C).
    9. Segurado, R. & Pereira, S. & Correia, D. & Costa, M., 2019. "Techno-economic analysis of a trigeneration system based on biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 501-514.
    10. Bai, Zhang & Liu, Taixiu & Liu, Qibin & Lei, Jing & Gong, Liang & Jin, Hongguang, 2018. "Performance investigation of a new cooling, heating and power system with methanol decomposition based chemical recuperation process," Applied Energy, Elsevier, vol. 229(C), pages 1152-1163.
    11. Volpe, R. & Catrini, P. & Piacentino, A. & Fichera, A., 2022. "An agent-based model to support the preliminary design and operation of heating and power grids with cogeneration units and photovoltaic panels in densely populated areas," Energy, Elsevier, vol. 261(PB).
    12. Calise, Francesco & Cipollina, Andrea & Dentice d’Accadia, Massimo & Piacentino, Antonio, 2014. "A novel renewable polygeneration system for a small Mediterranean volcanic island for the combined production of energy and water: Dynamic simulation and economic assessment," Applied Energy, Elsevier, vol. 135(C), pages 675-693.
    13. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
    14. Kang, Ligai & Yang, Junhong & An, Qingsong & Deng, Shuai & Zhao, Jun & Wang, Hui & Li, Zelin, 2017. "Effects of load following operational strategy on CCHP system with an auxiliary ground source heat pump considering carbon tax and electricity feed in tariff," Applied Energy, Elsevier, vol. 194(C), pages 454-466.
    15. Li, Ruonan & Mahalec, Vladimir, 2022. "Integrated design and operation of energy systems for residential buildings, commercial buildings, and light industries," Applied Energy, Elsevier, vol. 305(C).
    16. Xiaofeng Liu & Shijun Wang & Jiawen Sun, 2018. "Energy Management for Community Energy Network with CHP Based on Cooperative Game," Energies, MDPI, vol. 11(5), pages 1-18, April.
    17. 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.
    18. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    19. Yokoyama, Ryohei & Tokunaga, Akira & Wakui, Tetsuya, 2018. "Robust optimal design of energy supply systems under uncertain energy demands based on a mixed-integer linear model," Energy, Elsevier, vol. 153(C), pages 159-169.
    20. Pietro Catrini & Tancredi Testasecca & Alessandro Buscemi & Antonio Piacentino, 2022. "Exergoeconomics as a Cost-Accounting Method in Thermal Grids with the Presence of Renewable Energy Producers," Sustainability, MDPI, vol. 14(7), pages 1-27, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:238:y:2019:i:c:p:516-533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.