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Multi-criteria analysis for the selection of space heating systems in an industrial building

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  • Chinese, Damiana
  • Nardin, Gioacchino
  • Saro, Onorio

Abstract

Decisions on space heating of industrial buildings involve several conflicting objectives and solutions prospected by economic optimization (e.g. life cycle cost minimization) models may be far from the real preferences of decision makers. To overcome this limit, multi-criteria decision analysis which has hardly been used at single building level, especially in industrial contexts, could be a helpful methodology. This paper presents the application of a well-known multi-criteria approach, the Analytic Hierarchy Process (AHP), to the selection of space heating systems for an industrial building. We discuss the technologies available for industrial heating, criteria elicited from the decision maker and the ranking of alternatives identified with our AHP model. As very little is reported in literature about industrial energy system choices, our study, although focused on an individual case, may shed some light on decision making in this sector. To this end, we also compare our results with evidence on residential heating systems choices derived from literature. Investment costs are the most important criterion for industry, whereas qualitative attributes and operational costs are most important for homes. Qualitative attributes also significantly affect industrial heating system choices and, as the AHP is particularly effective in handling these aspects, we suggest it could be used for tactical energy planning models.

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  • Chinese, Damiana & Nardin, Gioacchino & Saro, Onorio, 2011. "Multi-criteria analysis for the selection of space heating systems in an industrial building," Energy, Elsevier, vol. 36(1), pages 556-565.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:1:p:556-565
    DOI: 10.1016/j.energy.2010.10.005
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    15. Kabir, Golam & Sumi, Razia Sultana, 2014. "Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh," Energy, Elsevier, vol. 72(C), pages 717-730.
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    17. Matteo Rivoire & Alessandro Casasso & Bruno Piga & Rajandrea Sethi, 2018. "Assessment of Energetic, Economic and Environmental Performance of Ground-Coupled Heat Pumps," Energies, MDPI, vol. 11(8), pages 1-23, July.
    18. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2015. "Robust optimal design of building cooling systems considering cooling load uncertainty and equipment reliability," Applied Energy, Elsevier, vol. 159(C), pages 265-275.
    19. Marco Noro & Simone Mancin & Filippo Busato & Francesco Cerboni, 2023. "Innovative Hybrid Condensing Radiant System for Industrial Heating: An Energy and Economic Analysis," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    20. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    21. Raghu KC & Jarno Föhr & Tapio Ranta, 2023. "Public Perception on the Sustainable Energy Transition in Rural Finland: A Multi-criteria Approach," Circular Economy and Sustainability,, Springer.
    22. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.
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    24. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.

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