Assessing sustainability of long-term energy supply using desirability functions
College
Gokongwei College of Engineering
Department/Unit
Mechanical Engineering
Document Type
Conference Proceeding
Source Title
Energy Procedia
Volume
158
First Page
3723
Last Page
3728
Publication Date
1-1-2019
Abstract
© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy. The depletion of fossil fuels due to high energy demand poses an imminent threat to energy security. Sustainability of energy sources is prioritized to minimize the economic impact of oil supply disruptions. Several energy security indices and indicators had been developed to quantitatively assess the security of supply. However, studies concerning the cost of such risks were limited. Thus, a modification to currently used supply sustainability indicators is needed to express the risk score as a probability of disruption. In this study, a modification was applied using desirability function to convert the scores into scales. Long-term energy security was assessed based on reserves-to-production ratio and share in world export. A case study on the crude oil imports of the Philippines from 2007 to 2016 was conducted to demonstrate the proposed methodology. The desirability scores were weighted based on the share of each supplier to the total crude oil import. During the 10-year period, integrated sustainability risk scores reflecting a proxy probability varying from 1 to 8% were computed due to changes in suppliers and import shares. The study recommends consistent importation of crude oil from sustainable countries to minimize the sustainability risk.
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Digitial Object Identifier (DOI)
10.1016/j.egypro.2019.01.885
Recommended Citation
Soliman, J. L., Lopez, N. A., & Biona, J. M. (2019). Assessing sustainability of long-term energy supply using desirability functions. Energy Procedia, 158, 3723-3728. https://doi.org/10.1016/j.egypro.2019.01.885
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