基本信息
views: 23
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
I am building physicist with over 35 years of experience in building energy and environment research and low-energy building consultancy. I have secured 35 research grants, published over 140 refereed publications and supervised 40 PhD students.
Trained as a civil engineer, I developed an interest in modelling heat and mass transport which led to research work developing and validating dynamic thermal models of buildings. The models were applied to support the architectural design of large, low-energy, naturally ventilated public buildings.
In recent years I have been particularly interested in understanding and quantifying the energy demand of, and indoor conditions in UK dwellings. This research is pursued through large scale field studies involving monitoring, surveys and questionnaire studies. More detailed investigations are undertaken using our own test houses in which we mimic occupant behaviour, window and door opening, and the use of hot water, appliances and heating. Findings are extrapolated through models, either empirical models or first-principle, building physics models.
The use of our own primary datasets and others’ secondary data has enabled the development of a method for rating UK homes based on their measured, rather than predicted, energy demand. Patterns of heating within the national housing stock, and the implications of electrification of heat, have been identified.
Our measurement of indoor temperatures revealed the extent and severity of overheating, which led the UK Committee on Climate Change to press the government to act. Various guidelines and standards, and possible changes to the building regulations, now seek to prevent overheating in new homes.
Trained as a civil engineer, I developed an interest in modelling heat and mass transport which led to research work developing and validating dynamic thermal models of buildings. The models were applied to support the architectural design of large, low-energy, naturally ventilated public buildings.
In recent years I have been particularly interested in understanding and quantifying the energy demand of, and indoor conditions in UK dwellings. This research is pursued through large scale field studies involving monitoring, surveys and questionnaire studies. More detailed investigations are undertaken using our own test houses in which we mimic occupant behaviour, window and door opening, and the use of hot water, appliances and heating. Findings are extrapolated through models, either empirical models or first-principle, building physics models.
The use of our own primary datasets and others’ secondary data has enabled the development of a method for rating UK homes based on their measured, rather than predicted, energy demand. Patterns of heating within the national housing stock, and the implications of electrification of heat, have been identified.
Our measurement of indoor temperatures revealed the extent and severity of overheating, which led the UK Committee on Climate Change to press the government to act. Various guidelines and standards, and possible changes to the building regulations, now seek to prevent overheating in new homes.
Research Interests
Papers共 147 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Comfort at The Extremes 2023: The Book Of Proceedings (2024)
Kevin Lomas,Kevin Morgan,Victoria Haines,Iuliana Hartescu,Arash Beizaee,Jo Barnes, Zoe Zambelli, Monisha Ravikumar, Vincenzo Rossi
Energy Policy (2024): 114108
BUILDING SERVICES ENGINEERING RESEARCH & TECHNOLOGYno. 5 (2023): 485-517
Energy and Buildings (2023): 112917-112917
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn