iNtelligent Urban Model for Built environment Energy Research (iNumber)

可持续的城市化需要为健康和舒适提供安全的能源。规划可持续能源服务的关键是了解能源需求如何随时间和空间而变化，以及帮助规划减少能源需求的工具。iNUMBER是一项研究计划，旨在发展：1。建筑存量和市政服务能源模式，以帮助规划安全的能源供应，使城市人口（通过提供清洁水和卫生设施）获得热舒适和健康。该模型将估计总的和分类的（在使用中，时间和空间）能源需求。此外，评估不同机制（如遮阳、居住者行为和隔热）的影响，以减少能源需求和提供本地产生的清洁能源的能力。2.链接新的和现有的数据集。开发模型相对简单，挑战在于获取数据以输入和测试模型的有效性。iNUMBER通过开发最先进的数据收集和分析方法来正面应对这一挑战，以便在具有不同数据可用性的各种情况下克服这一挑战。3.帮助支持城市能源管理过程的工具iNUMBER支持印度市政当局和当地合作伙伴开发数据驱动的智能城市模型，用于建筑环境能源研究和市政规划。它通过绘制建筑环境中当前和未来的能源需求减少机会来支持印度的深度脱碳道路。它将诊断城市能源问题，测试解决方案，验证进展，并利用最先进的监测，数据科学和分析来改善政策决策。iNUMBER的主要重点是满足印度/英国牛顿研究课题“信息，通信和可再生能源技术在建筑，社区和城市层面的干预措施的整合。“，并将通过提供新的高分辨率数据和“城市和社区技术”，为城市规划者提供指导，以满足呼吁的其他两个领域的要素“减少高峰需求”，将：-进行创新研究：城市数据收集（例如激光测距结合红外和无人驾驶车辆的可见光图像），大数据分析和创新建模。- 根据牛顿基金的要求，通过帮助印度过渡到对经济发展至关重要的智能可持续能源系统，促进发展中国家的经济发展和福利。吸引不同类型的用户。我们最初的项目合作伙伴包括城市地方机构、能源软件开发商、电表硬件供应商、住宅建筑公司、建筑公司和用户体验专家。除了这些直接的合作伙伴，我们将与该领域的其他研究小组协调和合作，与政策制定者接触，并使公众受益。利用Newton和DST资金约100万英镑，并得到主办大学和项目合作伙伴的支持，他们将提供数据，测试场地，设备并提供行业专业知识。演示可用的解决方案：在线能源信息系统;由大型数据集支持的基准测试;电表和子表的低技术“smart-er”改造;针对不同形状和规模的城市量身定制的能源和能源-水关系的减少战略。建立一个合作的印度/英国跨学科研究项目：该提案建立在印度在信息技术和英国在能源流行病学的优势，以建立一个最好的最佳合作。该团队包括来自印度和英国领先机构的工程，数据科学，信息技术，能源分析，建筑，建筑科学，城市科学，城市规划，能源管理的领先学者。所有工作包将通过来自英国和印度的团队交付，许多工作包涉及跨学科合作。

Sustainable urbanisation requires the provision of secure energy for health and comfort. Key to planning sustainable energy services is an understanding of how energy demand changes over time and space and tools to help plan for its reduction. iNUMBER is a research programme to develop:1. A building stock and municipal service energy model to help plan a secure energy supply for urban populations to be thermally comfortable and healthy (via the provision of clean water and sanitation). The model will estimate total and disaggregated (in use, time and space) energy demand. Plus, assess the impacts of different mechanisms (e.g. shading, occupant behaviour and insulation) to reduce energy demand and the capacity to provide locally generated clean energy. 2. Linked new and existing data sets. Developing models is relatively simple, the challenge is acquiring the data to input and test the validity of models. iNUMBER tackles this challenge head on by developing state of the art data collection and analytic methods to overcome this challenge in a range of scenarios with different data availability. 3.Tools to help support the urban energy management process iNUMBER supports Indian municipalities and local partners to develop a data-driven intelligent urban model for built environment energy research and municipal planning. It supports India's deep decarbonisation pathway by mapping current and future energy demand reduction opportunities in the built environment. It will diagnose urban energy problems, test solutions, verify progress, and improve policy decisions utilising state of the art monitoring, data science and analytics. iNUMBER primarily focuses around meeting the India/UK Newton research topic "Integration of information, communication and renewable energy technologies at building, community, and city level interventions." and will also meet elements of the other two areas of the call "peak demand reduction" by contributing new high resolution data and "city and community technologies" by providing guidance to urban plannersiNUMBER will:-Undertake innovative research into: urban data collection (e.g. laser ranging combined with IR and visible images from unmanned vehicles), big data analytics, and innovative modelling. -Promote the economic development of and welfare of developing countries, as required by Newton funding, by helping India to transition to a smart sustainable energy system which is critical to economic development. -Engage users of different types. Our initial project partners include urban local bodies, energy software developers, energy meter hardware suppliers, residential construction companies, architectural firms, and user experience experts. Beyond these immediate partners, we will coordinate and collaborate with other research groups in the field, engage with policymakers, and benefit the public.-Leverage Newton and DST funding by ~£1m, with support from host universities and project partners who will provide data, test sites, equipment, and provide sector expertise.-Demonstrate usable solutions: online energy information systems; benchmarking backed up by large data sets; low-tech "smart-er" retrofits for electricity meters and sub-meters; reduction strategies for energy and the energy-water nexus tailored to cities of different shapes and sizes.-Build a collaborative India/UK interdisciplinary research project: This proposal builds on the strengths of India in Information Technology and the strengths of the UK in energy epidemiology to build a best with the best collaboration. The team includes leading academics from engineering, data science, information technology, energy analysis, architecture, building science, urban science, urban planning, energy management from leading institutions in India and the UK. All work packages will be delivered via teams from both UK and India and many work packages involve interdisciplinary collaboration.