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Weighting Key Performance Indicators of Smart Local Energy Systems: A Discrete Choice Experiment

Author

Listed:
  • Christina Francis

    (School of Engineering, The University of Edinburgh, Colin Maclaurin Road, Edinburgh EH9 3DW, UK
    Current address: School of the Built Environment and Architecture, London South Bank University, 103 Borough Road, London SE1 0AA, UK.)

  • Paul Hansen

    (Department of Economics, University of Otago, Dunedin 9054, New Zealand)

  • Bjarnhéðinn Guðlaugsson

    (School of Engineering, The University of Edinburgh, Colin Maclaurin Road, Edinburgh EH9 3DW, UK)

  • David M. Ingram

    (School of Engineering, The University of Edinburgh, Colin Maclaurin Road, Edinburgh EH9 3DW, UK)

  • R. Camilla Thomson

    (School of Engineering, The University of Edinburgh, Colin Maclaurin Road, Edinburgh EH9 3DW, UK)

Abstract
The development of Smart Local Energy Systems (SLES) in the UK is part of the energy transition tackling the energy trilemma and contributing to achieving the Sustainable Development Goals (SDGs). Project developers and other stakeholders need to independently assess the performance of these systems: how well they meet their aims to successfully deliver multiple benefits and objectives. This article describes a step undertaken by the EnergyREV Research Consortium in developing a standardised Multi-Criteria Assessment (MCA) tool—specifically a discrete choice experiment (DCE) to determine the weighting of key performance indicators (KPIs). The MCA tool will use a technology-agnostic framework to assess SLES projects, track system performance and monitor benefit realisation. In order to understand the perceived relative importance of KPIs across different stakeholders, seven DCEs were conducted via online surveys (using 1000minds software). The main survey (with 234 responses) revealed that Environment was considered the most important criterion, with a mean weight of 21.6%. This was followed by People and Living (18.9%), Technical Performance (17.8%) and Data Management (14.7%), with Business and Economics and Governance ranked the least important (13.9% and 13.1%, respectively). These results are applied as weightings to calculate overall scores in the EnergyREV MCA-SLES tool.

Suggested Citation

  • Christina Francis & Paul Hansen & Bjarnhéðinn Guðlaugsson & David M. Ingram & R. Camilla Thomson, 2022. "Weighting Key Performance Indicators of Smart Local Energy Systems: A Discrete Choice Experiment," Energies, MDPI, vol. 15(24), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9305-:d:997399
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    as
    1. Tobias Naegler & Lisa Becker & Jens Buchgeister & Wolfgang Hauser & Heidi Hottenroth & Tobias Junne & Ulrike Lehr & Oliver Scheel & Ricarda Schmidt-Scheele & Sonja Simon & Claudia Sutardhio & Ingela T, 2021. "Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
    2. Ma, Weiwu & Xue, Xinpei & Liu, Gang, 2018. "Techno-economic evaluation for hybrid renewable energy system: Application and merits," Energy, Elsevier, vol. 159(C), pages 385-409.
    3. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    4. Azarova, Valeriya & Cohen, Jed & Friedl, Christina & Reichl, Johannes, 2019. "Designing local renewable energy communities to increase social acceptance: Evidence from a choice experiment in Austria, Germany, Italy, and Switzerland," Energy Policy, Elsevier, vol. 132(C), pages 1176-1183.
    5. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    6. Hottenroth, H. & Sutardhio, C. & Weidlich, A. & Tietze, I. & Simon, S. & Hauser, W. & Naegler, T. & Becker, L. & Buchgeister, J. & Junne, T. & Lehr, U. & Scheel, O. & Schmidt-Scheele, R. & Ulrich, P. , 2022. "Beyond climate change. Multi-attribute decision making for a sustainability assessment of energy system transformation pathways," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    7. Heo, Eunnyeong & Kim, Jinsoo & Boo, Kyung-Jin, 2010. "Analysis of the assessment factors for renewable energy dissemination program evaluation using fuzzy AHP," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2214-2220, October.
    8. Gallego Carrera, Diana & Mack, Alexander, 2010. "Sustainability assessment of energy technologies via social indicators: Results of a survey among European energy experts," Energy Policy, Elsevier, vol. 38(2), pages 1030-1039, February.
    9. N. P. Ravindra Deyshappriya & Simon Feeny, 2021. "Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 1-19, July.
    10. Ananda, Jayanath & Herath, Gamini, 2009. "A critical review of multi-criteria decision making methods with special reference to forest management and planning," Ecological Economics, Elsevier, vol. 68(10), pages 2535-2548, August.
    11. Paul E. Green & Abba M. Krieger & Yoram Wind, 2001. "Thirty Years of Conjoint Analysis: Reflections and Prospects," Interfaces, INFORMS, vol. 31(3_supplem), pages 56-73, June.
    12. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    13. Yi, Liqi & Li, Tao & Zhang, Ting, 2021. "Optimal investment selection of regional integrated energy system under multiple strategic objectives portfolio," Energy, Elsevier, vol. 218(C).
    14. Van Oijstaeijen, Wito & Van Passel, Steven & Back, Phil & Cools, Jan, 2022. "The politics of green infrastructure: A discrete choice experiment with Flemish local decision-makers," Ecological Economics, Elsevier, vol. 199(C).
    15. Krey, Volker & Guo, Fei & Kolp, Peter & Zhou, Wenji & Schaeffer, Roberto & Awasthy, Aayushi & Bertram, Christoph & de Boer, Harmen-Sytze & Fragkos, Panagiotis & Fujimori, Shinichiro & He, Chenmin & Iy, 2019. "Looking under the hood: A comparison of techno-economic assumptions across national and global integrated assessment models," Energy, Elsevier, vol. 172(C), pages 1254-1267.
    16. Rae, Callum & Kerr, Sandy & Maroto-Valer, M. Mercedes, 2020. "Upscaling smart local energy systems: A review of technical barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    17. Ecaterina Resniova & Tatiana Ponomarenko, 2021. "Sustainable Development of the Energy Sector in a Country Deficient in Mineral Resources: The Case of the Republic of Moldova," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    18. Schleich, Joachim & Tu, Gengyang & Faure, Corinne & Guetlein, Marie-Charlotte, 2021. "Would you prefer to rent rather than own your new heating system? Insights from a discrete choice experiment among owner-occupiers in the UK," Energy Policy, Elsevier, vol. 158(C).
    19. Chen, Qiu, 2021. "District or distributed space heating in rural residential sector? Empirical evidence from a discrete choice experiment in South China," Energy Policy, Elsevier, vol. 148(PA).
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