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| 1 |
ID:
167028
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| Summary/Abstract |
The optimization of spatial planning in order to identify the most suitable places for the installation of wind farms is one of the most difficult problems mainly due to the need of identification and calculation of a variety of qualitative and quantitative parameters as well as their effect on the final solution. Multi Criteria Decision Making Methods (MCDM) are commonly used in order to solve this problem and are combined with Geographic Information Systems (GIS) to spatially represent the results from the application of the MCDM methodology. This paper presents a methodology which is based on the combination of a MCDM methodology called Analytical Hierarch Process (AHP) and GIS in order to determine the most suitable locations for wind farms installation. The calculated locations are then ranked using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in order to rank the locations based on installation suitability. The application of this methodology can help decision makers to easily overcome conflicting parameters and propose optimal solutions which are acceptable from citizens and stake holders while at the same time are economical and environmental friendly.
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| 2 |
ID:
092856
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| Publication |
2009.
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| Summary/Abstract |
The purpose of this paper is to present an assessment and evaluation model for the prioritization of distributed generation (DG) technologies, both conventional and renewable, to meet the increasing load due to the growth rate in Iran, while considering the issue of sustainable development. The proposed hierarchical decision making strategy is presented from the viewpoint of either the distribution company (DisCo) or the independent power producer (IPP) as a private entity. Nowadays, DG is a broadly-used term that covers various technologies; however, it is difficult to find a unique DG technology that takes into account multiple considerations, such as economic, technical, and environmental attributes. For this purpose, a multi-attribute decision making (MADM) approach is used to assess the alternatives for DG technology with respect to their economic, technical and environmental attributes. In addition, a regional primary energy attribute is also included in the hierarchy to express the potential of various kinds of energy resources in the regions under study. The obtained priority of DG technologies help decision maker in each region how allocate their total investment budget to the various technologies. From the performed analysis, it is observed that gas turbines are almost the best technologies for investing in various regions of Iran. At the end of the decision making process, a sensitivity analysis is performed based on the state regulations to indicate how the variations of the attributes' weights influence the DG alternatives' priority. This proposed analytical framework is implemented in seven parts of Iran with different climatic conditions and energy resources.
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| 3 |
ID:
162334
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| Summary/Abstract |
The importance of foreign direct investment (FDI) for the development of renewable energy in developing countries has been increasingly recognized. Numerous countries have created various measures to attract FDI in the renewable energy sector. This paper uses the analytical hierarch process to clarify the relative significance of the determinants in the location decisions of foreign wind and solar energy investors. A total of 18 determinants that are categorized into the macroeconomic environment, institutional environment, natural conditions, and renewable energy policy categories are used for the analysis. The results show that adding to the traditional determinants of FDI, including the macroeconomic environment, the institutional environment, and natural conditions, renewable energy support policies have the same or stronger influence as location determinants of FDI. The paper also points out that some of the traditional determinants, such as exchange rate volatility, access to land, and an efficient and transparent administrative procedure, are also very important as determinants of FDI in wind and solar energy. Policy implications focus on the determinants of FDI in wind and solar energy. The relative significance of the determinants clarified through this study offers criteria for prioritizing policies and actions for policy makers.
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| 4 |
ID:
162339
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| Summary/Abstract |
The importance of foreign direct investment (FDI) for the development of renewable energy in developing countries has been increasingly recognized. Numerous countries have created various measures to attract FDI in the renewable energy sector. This paper uses the analytical hierarch process to clarify the relative significance of the determinants in the location decisions of foreign wind and solar energy investors. A total of 18 determinants that are categorized into the macroeconomic environment, institutional environment, natural conditions, and renewable energy policy categories are used for the analysis. The results show that adding to the traditional determinants of FDI, including the macroeconomic environment, the institutional environment, and natural conditions, renewable energy support policies have the same or stronger influence as location determinants of FDI. The paper also points out that some of the traditional determinants, such as exchange rate volatility, access to land, and an efficient and transparent administrative procedure, are also very important as determinants of FDI in wind and solar energy. Policy implications focus on the determinants of FDI in wind and solar energy. The relative significance of the determinants clarified through this study offers criteria for prioritizing policies and actions for policy makers.
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