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Determination and prioritization of criteria to design urban energy resilience conceptual model (Part 1)

Mohaghegh Zahed, L ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1007/s13762-022-03949-8
  3. Publisher: Springer Science and Business Media Deutschland GmbH , 2022
  4. Abstract:
  5. Nowadays, around 70% percent of global energy usage is consumed in urban areas. Undoubtedly, this figure will increase in coming decades due to population rise. As a result, energy resiliency can be considered as an important issue in urban context. Resilience of energy supply in urban areas can be categorized in two approaches, short-term and long-term. Short-term applies to cope with threats such as earthquakes and floods, and long-term applies to deal with impacts of climate change on global warming. In this study, literature review was applied to design questionnaire for expert survey, followed by Fuzzy analytic hierarchy process method to categorize 34 sub-criteria divided under four main factors, i.e., technical and infrastructural, built environment, governance, and socio-cultural. The sub-criteria of each group were also prioritized in both short-term resiliency and climate change impact. Energy storage system, urban development pattern and population density, education planning, participatory governance, and culture building and public awareness, are sub-criteria with high priorities in short-term approach. In the long term, they consist of increasing energy efficiency through innovation, producing energy from renewable sources, mitigation methods of energy consumption in buildings, regulatory basis and executive requirements, mechanisms for attracting private sector investment in low-carbon development, culture building and public awareness. All these prioritization scheme can be applied to define a composite index to evaluate the level of energy resilience in the urban areas, and such index allows comparing the level of resilience for different cities. © 2022, Islamic Azad University (IAU)
  6. Keywords:
  7. Criteria ; Energy efficiency ; Energy management ; Energy utilization ; Global warming ; Investments ; Population statistics ; Surveys ; Urban growth ; Conceptual model ; Energy ; Fuzzy analytic hierarchy ; Fuzzy analytic hierarchy process ; Prioritization ; Public awareness ; Resilience ; Urban areas ; Urban energy ; Analytic hierarchy process ; conceptual framework
  8. Source: International Journal of Environmental Science and Technology ; Volume 19, Issue 5 , 2022 , Pages 3593-3606 ; 17351472 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s13762-022-03949-8