Data4Sustain - integration of data to facilitate renewable energy technology use within urban environments

Data4Sustain - 整合数据以促进可再生能源技术在城市环境中的使用

• 批准号: NE/N007301/1
• 负责人: Darren Beriro
• 金额: $ 5.27万
• 依托单位: British Geological Survey
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FN007301%2F1
• 关键词: Data4Sustain; integration; data; facilitate; renewable

The Data4Sustain feasibility study integrate environmental data into a prototype webGIS decision-support tool for renewable energy technology selection in urban development and redevelopment projects. Each data source will be processed in a way that adds value. Customers of the webGIS platform comprise house builders, developers and their advisors, local authorities, community groups and businesses. At least one dataset will be crowdsourced, as proof-of-concept to showcase its value and practicality. When Data4Sustain is market ready, it is intended that it will be available via professional subscription. A free low resolution product will also be made available for the general public. Data4Sustain will be designed to be modular and capable of including new data sources as they arise. Outputs of this feasibility stage will include an evaluation of the availability, limitations and applicability of each dataset measured against cost, usability, relevance, potential for added value; a prototype built for local authority use to evaluate how well it works; and a refined business model for bringing the product to market.

Data4Sustein可行性研究将环境数据整合到一个原型WebGIS决策支持工具中，用于城市发展和重建项目中可再生能源技术的选择。每个数据源都将以增值的方式进行处理。WebGIS平台的客户包括房屋建筑商、开发商及其顾问、地方当局、社区团体和企业。至少有一个数据集将被众包，作为概念验证，以展示其价值和实用性。当Data4Sustein准备好上市时，它将通过专业订阅提供。还将向公众提供免费的低分辨率产品。Data4Sustein将被设计成模块化的，并能够在新的数据源出现时包括它们。这一可行性阶段的产出将包括根据成本、可用性、相关性和增值潜力对每个数据集的可用性、局限性和适用性进行评估；为地方当局建造的原型以评估其工作情况；以及将产品推向市场的完善的商业模式。

项目成果

A Decision Support System to Assess the Feasibility of Onshore Renewable Energy Infrastructure

• DOI: 10.2139/ssrn.3986807
• 发表时间: 2022-10
• 期刊: SSRN Electronic Journal
• 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