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Optimum sizing and operational strategy of CHP plant for district heating based on the use of composite indicators

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  • Franco, Alessandro
  • Versace, Michele

Abstract

The aim of the paper is to discuss the possible use of Combined Heat and Power (CHP) plants and to highlight some abnormal effects, generated by the available support mechanisms, both in sizing and management and to propose guidelines for defining optimal operational strategies of CHP power plants. Some composite indicators are proposed to give a more comprehensive assessment of the performances of a plant, for the design and optimization phase and for a possible approach to support mechanisms. A new composite indicator is introduced in order to assess the benefits of different scenarios. The method is tested with reference to a case study: a medium size district heating system, powered by a CHP plant supported by conventional auxiliary boilers. Data coming from a real plant equipped with a remote monitoring system are analyzed. Operating data of a typical month are used in order to test the approach for the reference system. The paper shows how the use of the defined composite indicators can modify in a meaningful way the operating strategy of the CHP, increasing a lot the share of thermal energy produced with the CHP unit with respect to the conventional boilers.

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  • Franco, Alessandro & Versace, Michele, 2017. "Optimum sizing and operational strategy of CHP plant for district heating based on the use of composite indicators," Energy, Elsevier, vol. 124(C), pages 258-271.
    • Handle: RePEc:eee:energy:v:124:y:2017:i:c:p:258-271
    DOI: 10.1016/j.energy.2017.02.062
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    3. Pavel Atănăsoae, 2018. "The Operating Strategies of Small-Scale Combined Heat and Power Plants in Liberalized Power Markets," Energies, MDPI, vol. 11(11), pages 1-16, November.
    4. Li, Ximei & Gao, Jianmin & Chen, Bingyuan & You, Shi & Zheng, Yi & Du, Qian & Qin, Yukun, 2023. "Multi-objective optimization of district heating systems with turbine-driving fans and pumps considering economic, exergic, and environmental aspects," Energy, Elsevier, vol. 277(C).
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    7. Antonino D’Amico & Domenico Panno & Giuseppina Ciulla & Antonio Messineo, 2020. "Multi-Energy School System for Seasonal Use in the Mediterranean Area," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
    8. Pizzolato, Alberto & Sciacovelli, Adriano & Verda, Vittorio, 2019. "Centralized control of district heating networks during failure events using discrete adjoint sensitivities," Energy, Elsevier, vol. 184(C), pages 58-72.
    9. Khuram Pervez Amber & Antony R. Day & Naeem Iqbal Ratyal & Rizwan Ahmad & Muhammad Amar, 2018. "The Significance of a Building’s Energy Consumption Profiles for the Optimum Sizing of a Combined Heat and Power (CHP) System—A Case Study for a Student Residence Hall," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    10. 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).
    11. Ito, Masakazu & Takano, Akihisa & Shinji, Takao & Yagi, Takahiro & Hayashi, Yasuhiro, 2017. "Electricity adjustment for capacity market auction by a district heating and cooling system," Applied Energy, Elsevier, vol. 206(C), pages 623-633.
    12. Khuram Pervez Amber & Tony Day & Naeem Iqbal Ratyal & Adnan Khalid Kiani & Rizwan Ahmad, 2018. "Techno, Economic and Environmental Assessment of a Combined Heat and Power (CHP) System—A Case Study for a University Campus," Energies, MDPI, vol. 11(5), pages 1-18, May.
    13. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    14. Arandian, B. & Ardehali, M.M., 2017. "Effects of environmental emissions on optimal combination and allocation of renewable and non-renewable CHP technologies in heat and electricity distribution networks based on improved particle swarm ," Energy, Elsevier, vol. 140(P1), pages 466-480.
    15. Dorotić, Hrvoje & Pukšec, Tomislav & Duić, Neven, 2019. "Economical, environmental and exergetic multi-objective optimization of district heating systems on hourly level for a whole year," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    16. Ahn, Jonghoon & Chung, Dae Hun & Cho, Soolyeon, 2018. "Energy cost analysis of an intelligent building network adopting heat trading concept in a district heating model," Energy, Elsevier, vol. 151(C), pages 11-25.

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