Low carbon climate-responsive Heating and Cooling of Cities (LoHCool)
低碳气候响应型城市供暖和制冷 (LoHCool)
基本信息
- 批准号:EP/N009797/1
- 负责人:
- 金额:$ 101.81万
- 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
- 起止时间:2015 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
LoHCool focuses on topic T1 'Delivering economic and energy-efficient heating and cooling to city areas of different population densities and climates'. It confronts directly the conundrum of offering greater winter and summer comfort in a Continental climate zone whilst mitigating what would be a carbon penalty of prodigious proportions. It concentrates on recovering value from the existing building stock, some 3.4 Billion m2 in which dwell and work some 550 Million citizens. It is highly cross-disciplinary involving engineers, building scientists, atmospheric scientists, architects and behavioural researchers in China and UK measuring real performance in new and particularly in existing buildings in Chinese cities to investigate the use of passive and active systems within integrated design and re-engineering. It focuses on the very challenging dynamic within China's Hot Summer/Cold Winter HSCW climate zone. It aims to enable the much desired improvements in living conditions and comfort levels within buildings through developing a keen understanding of the current heating and cooling technologies and practices in buildings by monitoring, surveying and measuring people's comfort and capturing this understanding through developing systems modelling including energy simulations. It will borrow on UK research for comparative purposes, for example work examining the current and future environmental conditions within the whole National Health Service (NHS) Hospital Estate in England and the practical economic opportunities, very considerable, for significant improvement whilst saving carbon at the rate required by ambitious NHS targets. It will propose detailed practical and economic low and very low carbon options for re-engineering the dominant building types which we will identify in a series of cities, as developed with local stakeholders, contractors and building professionals, exploring economic and energy-efficient low carbon district heating and cooling systems. Finally, it will test them in the current climate, 'current' extreme events, future climates and will estimate the carbon implications and cost of widespread implementation. Findings for the existing stock will be equally applicable to new-build, in many ways a simpler prospect.
LoHCool专注于主题T1“为不同人口密度和气候的城市地区提供经济和节能的供暖和制冷”。它直接面对的难题,提供更大的冬季和夏季舒适的大陆气候区,同时减轻什么将是一个巨大的比例碳处罚。它专注于从现有的建筑存量中恢复价值,约34亿平方米,居住和工作约5.5亿公民。这是一个高度跨学科的项目,涉及中国和英国的工程师、建筑科学家、大气科学家、建筑师和行为研究人员,测量中国城市新建筑,特别是现有建筑的真实的性能,以研究被动和主动系统在集成设计和再工程中的使用。它关注的是中国夏热冬冷HSCW气候带中极具挑战性的动态。它旨在通过监测,调查和测量人们的舒适度,并通过开发包括能源模拟在内的系统建模来捕获这种理解,从而对建筑物中当前的供暖和制冷技术和实践进行深入了解,从而实现建筑物内生活条件和舒适度的理想改善。它将借鉴英国的研究进行比较,例如研究英格兰整个国民健康服务(NHS)医院内当前和未来的环境条件,以及实际的经济机会,非常可观,以显著改善,同时以雄心勃勃的NHS目标所需的速度节省碳。它将提出详细的实际和经济的低碳和非常低碳的选择,以重新设计我们将在一系列城市中确定的主要建筑类型,与当地利益相关者,承包商和建筑专业人士一起开发,探索经济和节能的低碳区域供热和制冷系统。最后,它将在当前气候、“当前”极端事件和未来气候中测试这些方法,并将估计广泛实施的碳影响和成本。对现有库存的调查结果同样适用于新建的,在许多方面是一个更简单的前景。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
ENSO forecasts near the spring predictability barrier and possible reasons for the recently reduced predictability
ENSO 预测接近春季可预测性障碍以及最近可预测性降低的可能原因
- DOI:10.17863/cam.20646
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:, Lai
- 通讯作者:, Lai
A three-stage decision-making process for cost-effective passive solutions in office buildings in the hot summer and cold winter zone in China
- DOI:10.1016/j.enbuild.2022.112173
- 发表时间:2022-05-26
- 期刊:
- 影响因子:6.7
- 作者:Cao, Xinyun;Wang, Kaixuan;Yao, Runming
- 通讯作者:Yao, Runming
Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality
- DOI:10.1016/j.rser.2020.110669
- 发表时间:2021-03-01
- 期刊:
- 影响因子:15.9
- 作者:Ahmed, Tariq;Kumar, Prashant;Mottet, Laetitia
- 通讯作者:Mottet, Laetitia
Enhancing CFD-LES air pollution prediction accuracy using data assimilation
- DOI:10.1016/j.buildenv.2019.106383
- 发表时间:2019-11-01
- 期刊:
- 影响因子:7.4
- 作者:Aristodemou, Elsa;Arcucci, Rossella;Guo, Yi-Ke
- 通讯作者:Guo, Yi-Ke
A multi-layer approach for estimating the energy use intensity on an urban scale
- DOI:10.1016/j.cities.2019.102467
- 发表时间:2019-12-01
- 期刊:
- 影响因子:6.7
- 作者:Costanzo, Vincenzo;Yao, Runming;Li, Baizhan
- 通讯作者:Li, Baizhan
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{{ truncateString('Alan Short', 18)}}的其他基金
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$ 101.81万 - 项目类别:
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EP/G061327/1 - 财政年份:2009
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$ 101.81万 - 项目类别:
Research Grant
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