A two-stage multi-criteria analysis method for planning renewable energy use and carbon saving

Ahmed, A., Sutrisno, S. W. and You, S. (2020) A two-stage multi-criteria analysis method for planning renewable energy use and carbon saving. Energy, 199, 117475. (doi: 10.1016/j.energy.2020.117475)

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Renewable energy use is critical for achieving climate change goals. It is essential to understand necessary to the priority, capacity, and number of units of renewable energy systems for generation planning. Multi-criteria analysis methods serve as an effective tool for planning renewable energy generation. In this work, a two-stage multi-criteria analysis method was developed to identify the priority and capacities, as well as the numbers of units of renewable energy technologies. Technical (capacity factor and power density), economic (benefit-to-cost ratio), and environmental (carbon dioxide equivalent emission) criteria were considered. The method was applied to plan Glasgow’s renewable energy use. It was found that the planned renewable energy use configuration consists of 255 units of wind turbines (3.6 MW each), 23,497 units of solar photovoltaic panels (11 kW each), 2 units of biomass combustion systems (2 MW each), and 3382 units of ground source heat pumps (22.5 kW each) corresponding to an annual carbon footprint of 109,629 tonnes carbon dioxide equivalent. Sensitivity analysis was also conducted to assess the impacts of weightings in technical, economic, and environmental criteria on the decision in the configuration of renewable energy use.

Item Type:Articles
Additional Information:This research is partially supported by the University of Glasgow's John Robertson Bequest Award.
Glasgow Author(s) Enlighten ID:You, Dr Siming and Ahmed, Mr Asam
Creator Roles:
Ahmed, A.Investigation, Writing – original draft, Formal analysis
You, S.Conceptualization, Methodology, Writing – review and editing, Funding acquisition, Supervision, Project administration
Authors: Ahmed, A., Sutrisno, S. W., and You, S.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Energy
ISSN (Online):1873-6785
Published Online:01 April 2020
Copyright Holders:Copyright © 2020 Elsevier
First Published:First published in Energy 199:117475
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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