ARTICLE - CANDIDATE TRANSITION VARIABLES

Display candidate transaction variables for article


Id 3060
Author Hillman A.; Fisher U.; Shapiro M.
Title A systematic methodology for design of sustainable urban neighborhood energy infrastructure
Reference
Hillman A.; Fisher U.; Shapiro M. A systematic methodology for design of sustainable urban neighborhood energy infrastructure,Sustainability (Switzerland) 14 1

Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121855918&doi=10.3390%2fsu14010259&partnerID=40&md5=ed3d63ff1d56b78ea668eb673bf80583
Abstract The growing share of global energy consumption by cities (currently over 65%) raises the requirements for a systematic holistic approach for designing urban energy infrastructure in order to ensure its sustainability. A literature review of state-of-the-art modeling of urban energy infrastructure design emphasized the incomprehensive sustainability of the performed evaluations, as they accounted for several aspects of sustainability but missed others. Omitting important aspects can have significant implications which can put the sustainability of the energy infrastructure at risk. In this study, we attempted to develop a comprehensive model for designing sustainable energy infrastructure for urban districts, which accounts for the four aspects of sustainability: social, technical, environmental, and economic. The model is based on a four-step methodology: district characterization, a technological survey for distributed generation and energy storage, selecting suitable technologies according to social and technical criteria, and simulations of different energy infrastructure configurations to find the most suitable configurations basing on economic and environmental criteria. The research includes a case study in which the model was implemented for the Technion campus in Haifa. The developed model proved to be a comprehensive, efficient, and versatile tool for designing urban energy infrastructure. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.


Results:

Candidate transition variables