Working with Information, Creation of Knowledge, and Energy strategy Deployment (WICKED) in Non-Domestic Buildings
Working with Information, Creation of Knowledge, and Energy strategy Deployment (WICKED) in Non-Domestic Buildings
批准号:
EP/L024357/1
负责人:
Peter Grindrod
金额:
$62.76万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
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英文摘要
Innovative energy saving measures in non-domestic buildings- e.g., enhanced information due to sensors and meters; better management due to controls; and more efficient lights and HVAC equipment -could save 18 MtCO2 by 2020 and 86 MtCO2 by 2050, depending upon the rate at which the measures can be deployed. The deployment of energy efficiency technologies and management techniques depends on the physical conditions present in the existing building stock, as well as the ownership characteristics and management practices in each building. That is, adopting better technologies and practices depends on what fits, where, and for whom.The Working with Infrastructure, Creation of Knowledge, and Energy strategies Deployment (WICKED) project uses a segmented socio-technical approach to work with and learn from different configurations of building energy data and ownership in the existing UK non-domestic stock. The project develops and implements the concepts of "data rich" and "data poor" to identify and map energy-related technical and organizational infrastructure, as well as barriers to and opportunities for change. Top-down analytics on large anonymized non-domestic data sets from energy provider partners will be combined with middle-out case studies of landlord and tenant fleets and bottom-up empirical work in SME buildings, focused predominantly on the retail sector. The project will use this information to engage with and co-create appropriate knowledge for different types and scales of stakeholders: owners, occupiers, landlords, tenants, and energy providers. Through this knowledge and interaction, the project enables adoption of energy efficiency technologies and management techniques appropriate for each stakeholder segment. Based on our findings, our project will develop an action toolbox oriented towards the different needs of different market segments. Indicative innovative products to emerge from this work are: online energy advisor backed up by large data sets, "smart-er" technologies to retrofit legacy gas and electric meters, new forms of leasing agreements, and effective energy management procedures tailored for different stakeholder groups. Analyzing this complex landscape and its many opportunities and challenges requires a broad based, problem-directed and interdisciplinary approach. The University of Oxford academic team brings together expertise in social and technical aspects of energy demand (Dr. Kathryn Janda and Dr. Russell Layberry), information technologies (Dr. David Wallom), mathematics (Professor Peter Grindrod) engineering (Dr. Malcolm McCulloch), and law (Professor Susan Bright). Non-academic partners for this project are energy suppliers, retailers, local and national government stakeholders, landowners, tenants, and energy advice companies. These partners will leverage the EPSRC funding requested by the provision of data, management practices, lease agreements, test sites, and equipment.
期刊论文(10)
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DOI:
10.1016/j.enconman.2014.12.080
发表时间:
2015-03
期刊:
Energy Conversion and Management
影响因子:
10.4
作者:
[R. Granell;C. Axon;D. Wallom]
通讯作者:
R. Granell;C. Axon;D. Wallom
The evolution of 'greener' leasing practices in Australia and England
澳大利亚和英国“绿色”租赁实践的演变
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
[Bright, S.]
通讯作者:
Bright, S.
Learning from the "data poor": energy management in understudied organizations
向“数据贫乏者”学习:研究不足的组织中的能源管理
DOI:
10.1108/jpif-03-2014-0018
发表时间:
2014
期刊:
Journal of Property Investment & Finance
影响因子:
1.3
作者:
[B. Janda K]
通讯作者:
B. Janda K
The WICKED and Wild Challenges of Fostering Energy Efficiency Engagement in Private and Public Organisations
促进私人和公共组织参与能源效率的严峻挑战
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
[Bull, R]
通讯作者:
Bull, R
Feature extraction to characterise and cluster the energy demand of UK retail premises
特征提取来描述和聚类英国零售场所的能源需求
DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
[Granell R.]
通讯作者:
Granell R.
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