iNtelligent Urban Model for Built environment Energy Research (iNumber)
iNtelligent Urban Model for Built environment Energy Research (iNumber)
批准号:
EP/R008620/1
负责人:
Paul Ruyssevelt
金额:
$122.63万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
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英文摘要
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.
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Challenges and lessons learned in applying Sensitivity Analysis to Building Stock Energy Models
将敏感性分析应用于建筑存量能源模型的挑战和经验教训
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Fennell PJ]
通讯作者:
Fennell PJ
A comparison of performance of three variance-based sensitivity analysis methods on an urban-scale building energy model
城市规模建筑能源模型上三种基于方差的敏感性分析方法的性能比较
DOI:
10.26868/25222708.2021.30959
发表时间:
2021
期刊:
Building Simulation Conference Proceedings
影响因子:
--
作者:
[Pamela Jane Fennell, I. Korolija, P. Ruyssevelt]
通讯作者:
P. Ruyssevelt
A Review of the Status of Uncertainty and Sensitivity Analysis in Building-stock Energy Models
建筑能量模型中不确定性和敏感性分析的现状综述
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Fennell PJ]
通讯作者:
Fennell PJ
Determining The Most Appropriate Form Of Urban Building Energy Model For The City Of Ahmedabad
确定艾哈迈达巴德市最合适的城市建筑能源模型形式
DOI:
10.26868/25222708.2019.210663
发表时间:
期刊:
影响因子:
--
作者:
[Fennell P]
通讯作者:
Fennell P
City Level Fuel Energy Efficiency in Municipal Solid Waste Collection: A Case of Ahmedabad
城市固体废物收集中的城市级燃料能源效率:以艾哈迈达巴德为例
DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Bhattacharyya S.]
通讯作者:
Bhattacharyya S.
共 10 条
Data-Smart Building Case Studies
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批准号:EP/V011936/1
-
项目类别:Research Grant
-
资助金额:$25.75万
-
财政年份:2020
-
负责人:Paul Ruyssevelt
-
依托单位:
GEMdev: Grounded Energy Modelling for equitable urban planning development in the global South
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批准号:ES/T007605/1
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项目类别:Research Grant
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资助金额:$156.27万
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财政年份:2020
-
负责人:Paul Ruyssevelt
-
依托单位:
海外基金