IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v35y2010i2p794-805.html
   My bibliography  Save this article

Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints

Author

Listed:
  • Lozano, Miguel A.
  • Ramos, Jose C.
  • Serra, Luis M.

Abstract

Combined heat, cooling and power (CHCP) systems are interesting for the supply of different energy services in urban districts and in large buildings. CHCP systems utilize a fuel's energy to a greater extent, because the cogenerated heat can be used for heating in winter as well as for cooling in summer with an absorption refrigerator. The use of thermal energy storage (TES) provides the additional advantage of covering variable thermal demands while the production system operates continuously at nominal conditions. Thus, energy supply systems integrating the technologies of cogeneration, absorption refrigeration and thermal storage can provide substantial benefits from economic, energetic and environmental viewpoints. In this paper an optimization model is developed, using mixed integer linear programming (MILP), to determine the preliminary design of CHCP systems with thermal storage. The objective function to be minimized is the total annual cost. Taking into account the legal constraints imposed on cogeneration systems in Spain, the optimization model is applied to design a system providing energy services for a set of buildings constituted of 5000 apartments located in the city of Zaragoza (Spain). The effect of legal constraints in the design and operation of CHCP systems is highlighted in this study.

Suggested Citation

  • Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:2:p:794-805
    DOI: 10.1016/j.energy.2009.08.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209003624
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.08.022?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. Henning, Dag, 1997. "MODEST—An energy-system optimisation model applicable to local utilities and countries," Energy, Elsevier, vol. 22(12), pages 1135-1150.
    2. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    3. Dotzauer, Erik, 2003. "Experiences in mid-term planning of district heating systems," Energy, Elsevier, vol. 28(15), pages 1545-1555.
    4. Oh, Si-Doek & Lee, Ho-Jun & Jung, Jung-Yeul & Kwak, Ho-Young, 2007. "Optimal planning and economic evaluation of cogeneration system," Energy, Elsevier, vol. 32(5), pages 760-771.
    5. Chicco, Gianfranco & Mancarella, Pierluigi, 2007. "Trigeneration primary energy saving evaluation for energy planning and policy development," Energy Policy, Elsevier, vol. 35(12), pages 6132-6144, December.
    6. Lozano, M.A. & Valero, A., 1993. "Theory of the exergetic cost," Energy, Elsevier, vol. 18(9), pages 939-960.
    7. Tveit, Tor-Martin & Aaltola, Juha & Laukkanen, Timo & Laihanen, Mika & Fogelholm, Carl-Johan, 2006. "A framework for local and regional energy system integration between industry and municipalities—Case study UPM-Kymmene Kaukas," Energy, Elsevier, vol. 31(12), pages 2162-2175.
    8. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Distributed multi-generation: A comprehensive view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 535-551, April.
    Full references (including those not matched with items on IDEAS)

    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. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    2. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
    3. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Allocation of economic costs in trigeneration systems at variable load conditions including renewable energy sources and thermal energy storage," Energy, Elsevier, vol. 151(C), pages 633-646.
    4. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    5. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2017. "Optimal operation and marginal costs in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 135(C), pages 788-798.
    6. Jiang-Jiang, Wang & Chun-Fa, Zhang & You-Yin, Jing, 2010. "Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China," Applied Energy, Elsevier, vol. 87(4), pages 1247-1259, April.
    7. Lozano, Miguel A. & Serra, Luis M. & Pina, Eduardo A., 2022. "Optimal design of trigeneration systems for buildings considering cooperative game theory for allocating production cost to energy services," Energy, Elsevier, vol. 261(PB).
    8. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    9. 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.
    10. Carvalho, Monica & Serra, Luis Maria & Lozano, Miguel Angel, 2011. "Optimal synthesis of trigeneration systems subject to environmental constraints," Energy, Elsevier, vol. 36(6), pages 3779-3790.
    11. Alkasmoul, Fahad & Asaker, Mohammed & Widuch, Aleksander & Malicki, Marcin & Zwierzchowski, Ryszard & Wołowicz, Marcin, 2023. "Multigeneration source based on novel triple-component chiller configuration co-supplied with renewable and fossil energy operated in Arabic Peninsula conditions," Energy, Elsevier, vol. 263(PC).
    12. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "Optimal design of distributed energy resource systems coupled with energy distribution networks," Energy, Elsevier, vol. 85(C), pages 433-448.
    13. Lythcke-Jørgensen, Christoffer & Ensinas, Adriano Viana & Münster, Marie & Haglind, Fredrik, 2016. "A methodology for designing flexible multi-generation systems," Energy, Elsevier, vol. 110(C), pages 34-54.
    14. Chicco, Gianfranco & Stephenson, Paule M., 2012. "Effectiveness of setting cumulative carbon dioxide emissions reduction targets," Energy, Elsevier, vol. 42(1), pages 19-31.
    15. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    16. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2021. "Assessing the influence of legal constraints on the integration of renewable energy technologies in polygeneration systems for buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    17. Yılmaz, Sebnem & Selim, Hasan, 2013. "A review on the methods for biomass to energy conversion systems design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 420-430.
    18. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Distributed multi-generation: A comprehensive view," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 535-551, April.
    19. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    20. Sahoo, U. & Kumar, R. & Pant, P.C. & Chaudhury, R., 2015. "Scope and sustainability of hybrid solar–biomass power plant with cooling, desalination in polygeneration process in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 304-316.

    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:energy:v:35:y:2010:i:2:p:794-805. 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.journals.elsevier.com/energy .

    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.