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| 1 |
ID:
166488
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| Summary/Abstract |
Main advantages of renewable energies in economic development and environmental protection have resulted in an increase in the importance of using these energies in different countries. Therefore, to develop such technologies, it is essential to identify all the barriers hindering the development of renewable energy resources and propose scientific and practical solutions to alleviate them. In this study, the effort is to identify the root barriers in the development of wind and solar (renewable) energy resources in energy production sectors of Iran, considering the cause and effect relationships between the existing barriers. Not only barriers directly influence the non-development of renewable energy resources, but also they interact. It has been done by considering the literature review, experts' opinions, and interpretive structural modeling. Then, solutions are proposed to improve the current situation, and executive prioritization is obtained for a faster achievement of the ideal situation using an integrated approach based on the fuzzy cognitive map and slack-based data envelopment analysis. Finally, the effect of each improvement solution on the system's objectives is examined with regard to cause and effect relationships between the barriers.
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| 2 |
ID:
136248
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| Summary/Abstract |
As a new and developing green energy business in emerging economies such as China, the wind power industry chain faces some complex issues that are further compounded by turbulent internal and external environments. To deal with the complex environment, the wind power industry needs to improve its level of flexibility so that it can become more adaptable to the changing environment. Hence it is important to explore the dynamics of the wind power industry chain flexibility with respect to the ever changing environment. This study uses questionnaire surveys and expert interviews to identify the influential flexibility components of the wind power industry chain. Subsequently a fuzzy cognitive mapping (FCM) methodology was used to establish a flexibility operating mechanism model. The research found that special attention should be paid to competition flexibility, technology flexibility, and intellectual property and talent flexibility. Policies play a pivotal role in regulating the driving effects of these components of flexibility with the aim being long term sustainability of a healthy level of overall flexibility of the wind power industry chain. This should in turn facilitate the sustainable development of the industry.
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