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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Multi-Criteria Decision Analysis in Wind power Project Development: Case study in Latvia

Antans, Andis January 2017 (has links)
Wind Power Project Development is a complicated, capital and resource-inclusive process, where a wide variety of factors have to be considered and several stakeholders have a significant say in the process. Decision making in such an environment is complex and has to be approached comprehensively. In order to sustain a structured and clear decision-making process, the sustainable energy industry has recognized Multi-Criteria Decision Analysis (MCDA) method as a suitable set of tools to aid in the decision-making process. One of the MCDA tools – PROMETHEE II, has been examined in this master thesis, to evaluate its eligibility as a decision making aid in wind power project development. To structurally and realistically evaluate the tool, it has been applied to a case study in Ventspils region, in Latvia. The author of this thesis has a preliminary agreement with the owners of the sites to develop the project, therefore, this thesis has a strong potential for a practical implementation in future. Four scenarios have been developed for an evaluation, contributing to four variations of the different amount of turbines erected, with two different hub heights, on two differently sized sites. The scenarios are assessed based on the interests of six key stakeholders. Their opinion on twelve criteria is examined. Input data for each criterion has been generated via WindPro and MS Excel software or by authors assessment based on the researched literature. PROMETHEE II is used to extrapolate a comprehensive and clear representation of the results. The evaluation of the MCDA method proved that MCDA tools, and PROMETHEE II, in particular, can provide excellent support in decision making in wind power development. A wide variety of input data, as well as the various and often contradicting interests by different stakeholders, can be taken into account, while, at the same time, a clear result that can assist in decision making, is generated.  Wind Power Project Development is a complicated, capital and resource-inclusiveprocess, where a wide variety of factors have to be considered and severalstakeholders have a significant say in the process. Decision making in such anenvironment is complex and has to be approached comprehensively. In order to sustaina structured and clear decision making process, sustainable energy industry hasrecognized Multi-Criteria Decision Analysis (MCDA) method as a suitable set of tools toaid in the decision making process. One of the MCDA tools – PROMETHEE II, hasbeen examined in this master thesis, to evaluate its eligibility as a decision making aidin wind power project development.To structurally and realistically evaluate the tool, it has been applied on a case study inVentspils region, in Latvia. The author of this thesis has a preliminary agreement withthe owners of the sites to develop the project, therefore, this thesis has a strongpotential for a practical implementation in future. Four scenarios have been developedfor an evaluation, contributing to four variations of different amount of turbines erected, with two different hub heights, on two differently sized sites. The scenarios are assessed based on the interests of six key stakeholders. Their opinion on twelve criteria examined. Input data for each criterion has been generated via WindPro and MS Excel software orby authors assessment based on the researched literature. PROMETHEE II is used to extrapolate a comprehensive and clear representation of the results.The evaluation of the MCDA method proved that MCDA tools, and PROMETHEE II in particular, can provide excellent support in decision making in wind power development. Wide variety of input data, as well as the various and often contradicting interests by different stakeholders can be taken into account, while, at the same time, a clear result that can assist in decision making, is generated.

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