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Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating

Author

Listed:
  • Giuseppe Pinto

    (Department of Energy (DENERG), Politecnico di Torino, 10129 Turin, Italy)

  • Elnaz Abdollahi

    (Department of Mechanical Engineering, Aalto University School of Engineering, 02150 Espoo, Finland)

  • Alfonso Capozzoli

    (Department of Energy (DENERG), Politecnico di Torino, 10129 Turin, Italy)

  • Laura Savoldi

    (Department of Energy (DENERG), Politecnico di Torino, 10129 Turin, Italy)

  • Risto Lahdelma

    (Department of Mechanical Engineering, Aalto University School of Engineering, 02150 Espoo, Finland)

Abstract

The imperative to reduce emissions to counteract climate change has led to the use of renewables progressively in more areas. Looking at district heating, there is a growing interest in coupling current production systems and carbon-neutral technologies. This paper presents a methodology to support decision making about carbon-neutral technologies for district heating. The process is organized in two stages, the first one aims at optimizing the different carbon-neutral technologies according to an objective function and assess uncertainties and dependencies. In the second stage, the alternatives are evaluated using Stochastic Multicriteria Acceptability Analysis (SMAA), a simulation-based method specifically designed to consider imprecise information. The methodology was applied to a case-study in Torino, Italy, which simulates the city district heating network at a smaller scale, with the aim to explore strategies for replacing gas boiler with more sustainable technologies. According to preference information provided by decision makers, the most preferred alternative resulted in the introduction of a solar heat plant combined with an increase size of daily heat storage. Solar heat can benefit from incentives while reducing operational costs and emissions, maximizing the use of carbon-neutral heat thanks to the storage.

Suggested Citation

  • Giuseppe Pinto & Elnaz Abdollahi & Alfonso Capozzoli & Laura Savoldi & Risto Lahdelma, 2019. "Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating," Energies, MDPI, vol. 12(9), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1653-:d:227307
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    5. Lerede, Daniele & Pinto, Giuseppe & Saccone, Mirko & Bustreo, Chiara & Capozzoli, Alfonso & Savoldi, Laura, 2021. "Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: Case study of the electrification of the road European transport sector," Energy, Elsevier, vol. 236(C).
    6. Abdollahi, Elnaz & Lahdelma, Risto, 2020. "Decomposition method for optimizing long-term multi-area energy production with heat and power storages," Applied Energy, Elsevier, vol. 260(C).
    7. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    8. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.

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