Wind farms (WFs) experience various challenges that affect their performance. Mostly, designers focus on the technical side of WFs performance, mainly increasing the power production of WFs, through improving their manufacturing and design quality, wind turbines capacity, their availability, reliability, maintainability, and supportability. On the other hand, WFs induce impacts on their surroundings, these impacts can be classified as environmental, social, and economic, and can be described as the sustainability performance of WFs. A comprehensive tool that combines both sides of performance, i.e. the technical and the sustainability performance, is useful to indicate the overall performance of WFs. An overall performance index (OPI) can help operators and stakeholders rate the performance of WFs, more comprehensively and locate the weaknesses in their performance. The performance model for WFs, proposed in this study, arranges a set of technical and sustainability performance indicators in a hierarchical structure. Due to lack of historical data in certain regions where WFs are located, such as the Arctic, expert judgement technique is used to determine the relative weight of each performance indicator. In addition, scoring criteria are predefined qualitatively for each performance indicator. The weighted sum method makes use of the relative weights and the predefined scoring criteria to calculate the OPI of a specific WF. The application of the tool is illustrated by a case study of a WF located in the Norwegian Arctic. Moreover, the Arctic WF is compared to another WF located outside the Arctic to illustrate the effects of Arctic operating conditions on the OPI.

风电场 (WF) 面临着影响其性能的各种挑战。大多数情况下，设计人员关注 WF 性能的技术方面，主要是通过提高 WF 的制造和设计质量、风力涡轮机容量、可用性、可靠性、可维护性和支持性来增加 WF 的发电量。另一方面，WFs 对其周围环境产生影响，这些影响可以分为环境、社会和经济，可以描述为 WFs 的可持续性表现。一个综合性能的综合工具，即技术性能和可持续性性能，有助于表明 WF 的整体性能。总体绩效指数 (OPI) 可以帮助运营商和利益相关者对 WF 的绩效进行评级，更全面地找出他们表现中的弱点。本研究中提出的 WF 绩效模型在层次结构中安排了一组技术和可持续性绩效指标。由于 WF 所在的某些地区（如北极）缺乏历史数据，因此使用专家判断技术来确定每个性能指标的相对权重。此外，为每个绩效指标定性地预定义了评分标准。加权总和法利用相对权重和预定义的评分标准来计算特定 WF 的 OPI。该工具的应用通过位于挪威北极的 WF 的案例研究来说明。而且，