Decision support for prioritizing energy technologies against high oil prices: A fuzzy analytic hierarchy process approach |
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| Authors: | Seong Kon Lee Gento Mogi Jong Wook Kim |
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| Affiliation: | 1. Energy Policy Research Center, Korea Institute of Energy Research, 71-2, Jang-dong, Yuseong-gu, Daejeon 305-343, Republic of Korea;2. Department of Technology Management for Innovation (TMI), Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan;1. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, T6R 2V4 AB, Canada;2. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland;1. Faculty of Economics and Management, University of Tlemcen, Tlemcen, Algeria;2. Department of Management, Economics and Quantitative Methods University of Bergamo, Via dei Caniana 2, Bergamo, Italy;1. USP/EESC/Department of Electrical Engineering, São Carlos, Brazil;2. USP/ICMC/Department of Computer Science, São Carlos, Brazil;3. USP/School of Art, Sciences and Humanities of University of Sao Paulo, São Paulo, Brazil |
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| Abstract: | To provide national energy security in the 21st century, establishing a long-term strategic energy technology development is essential through selection and specialization. We established a strategic energy technology roadmap (ETRM) taking economic spin-offs, commercial potential, inner capacity, and technical spin-off into account. In this research, we suggest an integrated multi-criteria decision making (MCDM) approach, which is composed of more than two criteria as the assessment of the optimal alternatives and solutions in the real world with the fuzzy theory and analytic hierarchy process (AHP), to prioritize the weights of energy technologies of ETRM as we allocate R&D budget using a fuzzy analytic hierarchy process. Building technology is the most preferred technology in the sector of energy technologies against high oil prices. And the coal technology and transportation technology follows and take the 2nd and 3rd place with the fuzzy AHP approach. |
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