NDLI: Evaluating renewable energy policies using hybrid clustering and analytic hierarchy process modeling

Content Provider	IEEE Xplore Digital Library
Author	Trappey, A.J.C. Trappey, C.V. Wang, D.Y.C. Li, S.J. Ou, J.J.R.
Copyright Year	2014
Description	Author affiliation: Bur. of Energy, Minist. of Econ. Affairs, Taiwan (Ou, J.J.R.) \|\| Ind. Technol. Res. Inst., Nat. Taipei Univ., Taipei, Taiwan (Li, S.J.) \|\| Dept. of Manage. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Trappey, C.V.) \|\| Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Trappey, A.J.C.; Wang, D.Y.C.)
Abstract	When the majority of energy (>90%) is generated by fossil fuels, carbon dioxide emissions increase the greenhouse gas effect of the region. Therefore, renewable, sustainable, and economically viable energy sources are needed as alternatives to fossil fuels. The facilities and installation costs for generating renewable energy is much higher than the cost of fossil fuel facilities. Thus, governments need effective policies, regulations, and incentive programs to promote the usage of renewable energy. Renewable energy can be classified into different categories, such as offshore and onshore wind power, photovoltaic solar power, and geothermal generated power. The policies used for promoting specific categories vary significantly. These policies depend on the policy goals, regulations, taxation, incentives, and promotional schemes. The purpose of this study is to apply clustering techniques and the analytic hierarchy process (AHP) to analyze types of renewable energies and their attributes with respect to economic factors, energy resources and supplies, and their environmental effects. The AHP approach is used to evaluate actions that can resolve challenges found in the development of renewable energy. The study provides scientific results to help government managers plan renewable energy policies. The data for the case study are collected from Taiwan's renewable energy statistics related to photovoltaic cells, wind farms, ocean thermal energy, geothermal energy, hydro power, and solid waste fuels. The research has two major results and findings. First, analytic models are developed for the decision support of renewable energy policies using intelligent clustering techniques. Second, the most suitable policies for promoting four renewable energy clusters are identified using the AHP approach.
Sponsorship	IEEE SMC Soc.
Starting Page	716
Ending Page	720
File Size	340637
Page Count	5
File Format	PDF
ISBN	9781479937769
DOI	10.1109/CSCWD.2014.6846933
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Renewable energy sources Decision support systems Fossil fuels Government Analytic hierarchy process Conferences Computers Analytic Hierarchy Process Renewable Energy Clustering Self-Organizing Map
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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