A Systematic Evaluation Model for Solar Cell Technologies
Fossil fuels, including coal, petroleum, natural gas, and nuclear energy, are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Sol...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/542351 |
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doaj-ec1e54150df64e9cba6206b2842e72d92020-11-24T20:53:21ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/542351542351A Systematic Evaluation Model for Solar Cell TechnologiesChang-Fu Hsu0Rong-Kwei Li1He-Yau Kang2Amy H. I. Lee3Department of Industrial Engineering and Management, National Chiao-Tung University, Hsinchu 300, TaiwanDepartment of Industrial Engineering and Management, National Chiao-Tung University, Hsinchu 300, TaiwanDepartment of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 411, TaiwanDepartment of Technology Management, Chung Hua University, No. 707, Sector 2, WuFu Road, Hsinchu 300, TaiwanFossil fuels, including coal, petroleum, natural gas, and nuclear energy, are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Solar energy is one of the most popular renewable energy resources for meeting global energy demands. Even though there are abundant studies on various solar technology developments, there is a lack of studies on solar technology evaluation and selection. Therefore, this research develops a model using interpretive structural modeling (ISM), benefits, opportunities, costs, and risks concept (BOCR), and fuzzy analytic network process (FANP) to aggregate experts' opinions in evaluating current available solar cell technology. A case study in a photovoltaics (PV) firm is used to examine the practicality of the proposed model in selecting the most suitable technology for the firm in manufacturing new products.http://dx.doi.org/10.1155/2014/542351 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chang-Fu Hsu Rong-Kwei Li He-Yau Kang Amy H. I. Lee |
spellingShingle |
Chang-Fu Hsu Rong-Kwei Li He-Yau Kang Amy H. I. Lee A Systematic Evaluation Model for Solar Cell Technologies Mathematical Problems in Engineering |
author_facet |
Chang-Fu Hsu Rong-Kwei Li He-Yau Kang Amy H. I. Lee |
author_sort |
Chang-Fu Hsu |
title |
A Systematic Evaluation Model for Solar Cell Technologies |
title_short |
A Systematic Evaluation Model for Solar Cell Technologies |
title_full |
A Systematic Evaluation Model for Solar Cell Technologies |
title_fullStr |
A Systematic Evaluation Model for Solar Cell Technologies |
title_full_unstemmed |
A Systematic Evaluation Model for Solar Cell Technologies |
title_sort |
systematic evaluation model for solar cell technologies |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2014-01-01 |
description |
Fossil fuels, including coal, petroleum, natural gas, and nuclear energy, are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Solar energy is one of the most popular renewable energy resources for meeting global energy demands. Even though there are abundant studies on various solar technology developments, there is a lack of studies on solar technology evaluation and selection. Therefore, this research develops a model using interpretive structural modeling (ISM), benefits, opportunities, costs, and risks concept (BOCR), and fuzzy analytic network process (FANP) to aggregate experts' opinions in evaluating current available solar cell technology. A case study in a photovoltaics (PV) firm is used to examine the practicality of the proposed model in selecting the most suitable technology for the firm in manufacturing new products. |
url |
http://dx.doi.org/10.1155/2014/542351 |
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