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An Integrated Approach to Long-Term Fuel Supply Planning in Combined Heat and Power Systems

Author

Listed:
  • Pablo Benalcazar

    (Division of Energy Economics, Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Ul. J. Wybickiego 7A, 31-261 Kraków, Poland)

  • Jacek Kamiński

    (Division of Energy Economics, Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Ul. J. Wybickiego 7A, 31-261 Kraków, Poland)

  • Karol Stós

    (Division of Energy Economics, Mineral and Energy Economy Research Institute of the Polish Academy of Sciences, Ul. J. Wybickiego 7A, 31-261 Kraków, Poland)

Abstract

This paper examines the issue of strategic planning of fuel supplies in combined heat and power systems. This is a major challenge in energy modeling because heating-degree day calculation methods only address short-term horizons and are not suitable for the long-term planning of fuel supplies. In this work, a comprehensive method is proposed for strategic fuel supply planning of independent heat producers. The method considers changes in the market dynamics of residential and commercial properties, the annual rate of customer acquisition by the network operator, customer disconnections, as well as the thermal modernization of buildings for estimating the long-term thermal energy demand of an urban area. Moreover, the method develops a mathematical model to minimize production costs, taking into account the technical constraints of the system. The proposed strategic planning tool, in addition to information on the quantities of fuel consumed for heat and electricity production, also provides valuable management information on the operational costs of the CHP system and its environmental impact. The application of the method is illustrated with the analysis of a large-scale combined heat and power plant supplying heat and electricity to a city with over 500,000 inhabitants. The results indicate that depending on the changes in the primary and secondary heat markets, the demand for energy carriers may range from 107.37 TWh to 119.87 TWh.

Suggested Citation

  • Pablo Benalcazar & Jacek Kamiński & Karol Stós, 2022. "An Integrated Approach to Long-Term Fuel Supply Planning in Combined Heat and Power Systems," Energies, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8339-:d:966561
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    References listed on IDEAS

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    1. Verbruggen, Aviel & Dewallef, Pierre & Quoilin, Sylvain & Wiggin, Michael, 2013. "Unveiling the mystery of Combined Heat & Power (cogeneration)," Energy, Elsevier, vol. 61(C), pages 575-582.
    2. Bush, Ruth E. & Bale, Catherine S.E. & Taylor, Peter G., 2016. "Realising local government visions for developing district heating: Experiences from a learning country," Energy Policy, Elsevier, vol. 98(C), pages 84-96.
    3. Liu, Chiun-Ming & Sherali, Hanif D., 2000. "A coal shipping and blending problem for an electric utility company," Omega, Elsevier, vol. 28(4), pages 433-444, August.
    4. E. Spyrou & B. F. Hobbs & M. D. Bazilian & D. Chattopadhyay, 2019. "Planning power systems in fragile and conflict-affected states," Nature Energy, Nature, vol. 4(4), pages 300-310, April.
    5. Martínez-de-Alegría, Itziar & Río, Rosa-María & Zarrabeitia, Enara & Álvarez, Izaskun, 2021. "Heating demand as an energy performance indicator: A case study of buildings built under the passive house standard in Spain," Energy Policy, Elsevier, vol. 159(C).
    6. Shiromaru, Isao & Inuiguchi, Masahiro & Sakawa, Masatoshi, 2000. "A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 126(1), pages 218-230, October.
    7. Jessica Thomsen & Noha Saad Hussein & Arnold Dolderer & Christoph Kost, 2021. "Effect of the Foresight Horizon on Computation Time and Results Using a Regional Energy Systems Optimization Model," Energies, MDPI, vol. 14(2), pages 1-22, January.
    8. Pablo Benalcazar & Przemysław Kaszyński & Jacek Kamiński, 2021. "Assessing the Effects of Uncertain Energy and Carbon Prices on the Operational Patterns and Economic Results of CHP Systems," Energies, MDPI, vol. 14(24), pages 1-19, December.
    9. Bruglieri, Maurizio & Liberti, Leo, 2008. "Optimal running and planning of a biomass-based energy production process," Energy Policy, Elsevier, vol. 36(7), pages 2430-2438, July.
    10. Daniela Guericke & Ignacio Blanco & Juan M. Morales & Henrik Madsen, 2020. "A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 863-900, December.
    11. Prasad, Sanjeev K. & Mangaraj, B.K., 2022. "A multi-objective competitive-design framework for fuel procurement planning in coal-fired power plants for sustainable operations," Energy Economics, Elsevier, vol. 108(C).
    12. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    13. Hietaharju, Petri & Pulkkinen, Jari & Ruusunen, Mika & Louis, Jean-Nicolas, 2021. "A stochastic dynamic building stock model for determining long-term district heating demand under future climate change," Applied Energy, Elsevier, vol. 295(C).
    14. Benalcazar, Pablo, 2021. "Optimal sizing of thermal energy storage systems for CHP plants considering specific investment costs: A case study," Energy, Elsevier, vol. 234(C).
    15. Sandberg, Nina Holck & Næss, Jan Sandstad & Brattebø, Helge & Andresen, Inger & Gustavsen, Arild, 2021. "Large potentials for energy saving and greenhouse gas emission reductions from large-scale deployment of zero emission building technologies in a national building stock," Energy Policy, Elsevier, vol. 152(C).
    16. Oliver, John J. & Parrett, Emma, 2018. "Managing future uncertainty: Reevaluating the role of scenario planning," Business Horizons, Elsevier, vol. 61(2), pages 339-352.
    17. Liz Wachs & Shweta Singh, 2020. "Projecting the urban energy demand for Indiana, USA, in 2050 and 2080," Climatic Change, Springer, vol. 163(4), pages 1949-1966, December.
    18. Palander, Teijo & Voutilainen, Juuso, 2013. "A decision support system for optimal storing and supply of wood in a Finnish CHP plant," Renewable Energy, Elsevier, vol. 52(C), pages 88-94.
    19. Tiago Pinto & Zita Vale & Isabel Praça & E. J. Solteiro Pires & Fernando Lopes, 2015. "Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning," Energies, MDPI, vol. 8(9), pages 1-26, September.
    20. Mavrotas, George & Florios, Kostas & Vlachou, Dimitra, 2010. "Energy planning of a hospital using Mathematical Programming and Monte Carlo simulation for dealing with uncertainty in the economic parameters," MPRA Paper 105754, University Library of Munich, Germany.
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