Data-Driven Sociotechnical Energy Management in Public Sector Buildings
Data-Driven Sociotechnical Energy Management in Public Sector Buildings
批准号:
EP/L024403/1
负责人:
Nigel Goddard
金额:
$63.32万
依托单位:
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
项目状态:
已结题
起止时间:
2015 至 --
中文摘要
通过改变管理者和居住者的行为来减少现有公共部门建筑的能源需求,对于实现英国的碳减排目标至关重要。公共部门建筑直接占英国服务业建筑能耗和相应碳排放的24%。虽然有许多针对新建建筑的减排努力,但关注现有建筑至关重要,因为2050年英国将建成的大部分建筑存量已经建成。使用跨学科的概念框架,我们的计算机科学家,建筑师和社会学家团队将共同努力,探索能源技术与建筑管理者和居住者能源行为的相互作用。非住宅能源需求将能够在各种建筑类型和用途中进行详细分析,并评估行为和控制反馈的影响。该项目的主要目标是构建一个反馈回路,为建筑物管理人员和居住者提供信息,不仅包括他们的能源消耗,还包括哪些活动使用能源,每项活动使用多少能源,以及他们可以采取哪些措施来减少能源支出和使用的建议。反馈回路也将用于建筑能源系统的新的自动化控制。我们将建造这些系统,并通过在两年半的时间内对爱丁堡市和爱丁堡大学的建筑物进行研究来评估其有效性。我们将涉及各种建筑用途,包括办公室、实验室、图书馆、学校和社区中心。这些系统和概念将在建筑物的“生活实验室”中进行探索,为管理人员和用户提供丰富的信息,以减少他们的能源消耗。在研究结束时,我们将询问参与者,我们是否可以在未来的研究中使用我们收集的数据,删除任何个人信息。那些同意的人将为一个数据库做出贡献,这个数据库对我们和其他人未来的研究工作将是非常宝贵的。
英文摘要
Reducing energy demand from existing public-sector buildings through manager and occupant behaviour change is crucial for meeting UK carbon emission reduction targets. Public sector buildings account directly for 24% of UK service-sector building energy consumption, and corresponding carbon emissions. While there are many reduction efforts aimed at new-build, a focus on existing buildings is essential as much of the building stock that will be in place in the UK in 2050 is already built. Using an interdisciplinary conceptual framework, our team of computer scientists, architects and sociologists will work together to explore the interaction of energy technologies and building manager and occupant energy behaviours. Non-domestic energy demand will be able to be analysed in great detail across a variety of building types and uses, and the effect of behavioural and control feedback evaluated. This project's main goal is to construct a feedback loop which provides information to building managers and occupants not just on their energy consumption, but also on what activities are using energy, how much for each one, together with suggestions for what they might do to reduce energy expenditure and use. The feedback loop will also be used in new automated control for building energy systems. We will construct these systems and evaluate their effectiveness by involving City of Edinburgh and University of Edinburgh buildings in a study over a two and a half year period. We will involve a variety of building uses including offices, labs, libraries, schools and community centres.These systems and concepts will be explored in "Living Labs" in the buildings that will provide the managers and users with a wealth of information that they can use to reduce their energy expenditure. At the end of the study we will ask participants if we can use the data we have gathered, with any personal information removed, in future studies. Those that agree will be contributing to a database that will be invaluable for future research efforts by us and others.
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DOI:
10.1145/3064857.3079118
发表时间:
2017
期刊:
影响因子:
--
作者:
[Morgan E]
通讯作者:
Morgan E
Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation
在大型组织中共同设计一种基于行为的节能设备
DOI:
10.1145/3274394
发表时间:
2018
期刊:
Proceedings of the ACM on Human-Computer Interaction
影响因子:
--
作者:
[Morgan E]
通讯作者:
Morgan E
A Living Lab Co-Creational Approach to Energy Demand Reduction in Non-Domestic Buildings: Understanding the Organisation
减少非住宅建筑能源需求的生活实验室共同创造方法:了解组织
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
[Webb L]
通讯作者:
Webb L
Enhance The Assembly Rooms Energy Living Lab
增强会议室能源生活实验室
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
[Carter C]
通讯作者:
Carter C
ORA (Round 5) - Facilitating Self-Regulated Learning with Personalized Scaffolds on Student's own Regulation Activities
-
批准号:ES/S015701/1
-
项目类别:Research Grant
-
资助金额:$44.56万
-
财政年份:2019
-
负责人:Nigel Goddard
-
依托单位:
Data-Driven Methods for a New National Household Energy Survey
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批准号:EP/M008223/1
-
项目类别:Research Grant
-
资助金额:$75.96万
-
财政年份:2014
-
负责人:Nigel Goddard
-
依托单位:
IDEAL: Intelligent Domestic Energy Advice Loop
-
批准号:EP/K002732/1
-
项目类别:Research Grant
-
资助金额:$222.71万
-
财政年份:2013
-
负责人:Nigel Goddard
-
依托单位:
The Human Brain Project: Phase I
-
批准号:9820016
-
项目类别:Interagency Agreement
-
资助金额:$25.0万
-
财政年份:1998
-
负责人:Nigel Goddard
-
依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: