New approach to determine the Importance Index for developing offshore wind energy potential sites: Supported by UK and Arabian Peninsula case studies
New approach to determine the Importance Index for developing offshore wind energy potential sites: Supported by UK and Arabian Peninsula case studies
复制标题
DOI：
10.1016/j.renene.2019.12.070
复制
发表时间：
2020-06
期刊：
影响因子：
8.7
通讯作者：
A. Bahaj;M. Mahdy;A. Alghamdi;D. Richards
中科院分区：
文献类型：
--
作者：
A. Bahaj;M. Mahdy;A. Alghamdi;D. Richards
开发了与地理信息系统相关联的多准则决策分析，以解决海上风电场的空间选址问题，并考虑了适当的冲突因素/约束。提出了一种通过确定海上风电场重要性指数(I)来解决冲突因素的新方法。这是基于一个新定义的参数--代表成本比率(RCR)，以促进比较过程。该方法比较因素对，克服了由多个专家进行的“备选方案”和“标准”评估导致准确性和一致性降低，并使过程耗时的问题。该方法通过两个案例研究(I)英国部署的项目和(Ii)确定阿拉伯半岛周围的海上风能潜力的规模进行了测试。提出的方法避开了文献中突出的缺点，优点是在分析开始时将所有限制/约束一起考虑，得到一个有意义的组合布尔掩码。RCR比较因素对来解释重要性指数量表(1-9)与其描述符之间的关系。这两个案例的研究结果都提供了出色的结果，证实了RCR方法的稳健性及其在解决海上风电场空间规划方面的全球适用性。
A multi-criteria decision-making analysis linked to a Geographical Information System was developed to solve the spatial siting for offshore wind farms taking into account appropriate conflicting factors/constraints. A new approach is presented to solve the conflicting factors by determining the Importance Index (I) for offshore wind farms. This is based on a newly defined parameterRepresentative Cost Ratio(RCR) facilitating the comparison process. The method compares factor pairs and overcomes the issue where the evaluation of “alternatives” and “criteria”, conducted by a number of experts result in reduced accuracy, coherence, and making the process time-consuming. The approach is tested through two case studies (i) UK deployed projects and (ii) determining the offshore wind energy potential around the Arabian Peninsula at scale. The presented method circumvents the literature-highlighted shortcomings with the advantage of considering all restrictions/constraints together at the start of the analysis, arriving at a signally combined Boolean Mask. RCR compares factor pairs to interpret the relationship between Importance Index scale (1–9) and its descriptors. Results from both case studies provided excellent outcomes, confirming the robustness of the RCR approach and its global applicability in addressing the spatial planning of offshore wind farms.