A Decision Support System to Assess the Feasibility of Onshore Renewable Energy Infrastructure
A Decision Support System to Assess the Feasibility of Onshore Renewable Energy Infrastructure
复制标题
DOI：
10.2139/ssrn.3986807
复制
发表时间：
2022-10
期刊：
影响因子：
--
通讯作者：
D. Beriro;J. Nathanail;J. Salazar;A. Kingdon;A. Marchant;Steve Richardson;Andy Gillet;Svea Rautenberg;Ellis B. Hammond;John Beardmore;T. Moore;Phil Angus;Julie A. Waldron;Lucelia Rodrigues;P. Nathanail
中科院分区：
文献类型：
--
作者：
D. Beriro;J. Nathanail;J. Salazar;A. Kingdon;A. Marchant;Steve Richardson;Andy Gillet;Svea Rautenberg;Ellis B. Hammond;John Beardmore;T. Moore;Phil Angus;Julie A. Waldron;Lucelia Rodrigues;P. Nathanail
本文介绍了一个新的基于Web的决策支持系统创建的早期阶段的可再生能源技术的可行性评估在英格兰，英国。文章包括在英格兰的能源政策和法规的审查和类似的决策支持系统的文献的重要评价。总的来说，它为可重复、可扩展的数字证据库提供了一种新的解决方案，可用于可再生能源技术的政策合规部署。Data4Sustain是一个空间决策支持系统，旨在快速确定包括风能、太阳能、水力、浅层和地热在内的七种可再生能源技术在大面积区域的可行性。采用了多行为者办法，以确定影响这些技术发电或供热供当地消费或区域分配的技术可行性的关键因素。该研究表明，利用数字规划的新方法，通过部署可再生能源技术，有机会改善政策和监管之间的联系。已部署的、有弹性的、具有成本效益的和社会接受的可再生能源发电基础设施在确保普遍获得负担得起的、可靠的和现代的能源供应方面可以发挥作用。这对于支持协调一致地向低碳未来过渡以应对气候变化至关重要。可再生能源技术的选择和选址取决于自然资源的可得性以及实际和规章方面的限制。这些因素为可再生能源的早期可行性提供了信息，有助于集中时间和金钱的投资。了解它们的相对重要性并确定最合适的技术是一项非常复杂的任务，因为所需的数据和信息来源不同，而且往往互不相连。Data4Sustain帮助我们克服这些挑战。
This article introduces a new web-based decision support system created for early-stage feasibility assessments of renewable energy technologies in England, UK. The article includes a review of energy policy and regulation in England and a critical evaluation of literature on similar decision support systems. Overall, it shows a novel solution for a repeatable, scalable digital evidence base for the policy compliant deployment of renewable energy technologies. Data4Sustain is a spatial decision support system developed to quickly identify the feasibility of seven renewable energy technologies across large areas including wind, solar, hydro, shallow and geothermal. A multi-actor approach was used to identify the key factors that influence the technical feasibility of these technologies to generate electricity or heat for local consumption or regional distribution. The research demonstrates opportunities to improve the links between policy and regulation with deployment of renewable energy technologies using novel approaches to digital planning. Deployed, resilient, cost-effective and societally accepted renewable energy generation infrastructure has a role to play in ensuring universal access to affordable, reliableand modern energy supply. This is central to supporting a concerted transition to a low-carbon future in order to address climate change. The selection and siting of renewable energy technology is driven by natural resource availability and physical and regulatory constraints. These factors inform early-stage feasibility of renewables, helping to focus investment of time and money. Understanding their relative importance and identifying the most suitable technologies is a highly complex task due to the disparate and often unconnected sources of data and information needed. Data4Sustain help to overcome these challenges.