| dc.description.abstract | Climate change-related concerns force nations to reduce greenhouse gas emissions using renewable energy sources. Wind power is one of the fastest-growing power generation sources worldwide. Over the past decade, offshore wind (OW) has reached a reasonable level of maturity, and the European market is comprised of a diverse pool of investors willing to find attractive projects. An integrated decision support system developed for potential Offshore wind investors is presented in this thesis. Using tools from decision analysis, the decision support system provides a step-by-step approach to assessing the present situation, identifying objectives and alternatives and making good decisions. Overall, the framework connects insightful information from literature with up-to-date datasets for selected parameters. In addition to it, a techno-economical model has been developed in python to provide calculations and get the results for specified parameters. A sensitivity analysis is performed within this thesis, to find the parameters that affect the decision (material parameters) to further conduct a probabilistic analysis with detailed results to help different investors with certain risk profiles adopt the good decision. | |
