Dynamic modelling of indoor environmental conditions for future energy retrofit scenarios across the UK school building stock
Dynamic modelling of indoor environmental conditions for future energy retrofit scenarios across the UK school building stock
复制标题
对英国学校建筑群未来能源改造场景的室内环境条件进行动态建模
DOI:
10.1016/j.jobe.2022.105536
复制
发表时间:
2023
影响因子:
6.4
通讯作者:
Grassie D
中科院分区:
文献类型:
--
作者:
Grassie D
UK schoolchildren spend on average 30% of their waking lives inside schools. While indoor environmental quality (IEQ) is critical for their health and attainment, school buildings are also a key part of the UK's carbon emissions reduction strategy. To address conflicts between energy efficiency and IEQ, predictive models of UK classroom stock should incorporate energy and IEQ performance criteria across dynamic scenarios comprising energy retrofit and IEQ improvement measures. On this basis, we have developed a novel approach for auto-generation, simulation, post-processing and analysis of EnergyPlus UK classroom archetype models. Such modelling facilitates the multi-parameter evaluation of school building performance, whilst incorporating stock-wide heterogeneity and longitudinal dynamic changes.As extent of retrofit increases, decreasing incremental energy demand reduction was quantified and increasing effectiveness of passive ventilation at mitigating overheating was identified. Negative impact of South facing orientation on overheating was reduced after applying a range of IEQ improvement methods. However, low ceiling heights in 1945–1967 era classrooms impact the efficacy of these IEQ mitigations on calculated attainment, requiring design rather than mitigation strategies as a remedial solution. Strategies preventing NO2pollution ingress could be more-effective than PM2.5, with night-time ventilation avoiding ingress during daily peaks and greater sensitivity to location. Future work shall incorporate multiple criteria into a single tool based on stakeholder preferences to improve quality of retrofit decision making.
登录
查看更多内容
DOI:
10.5334/bc.159
发表时间:
2022
期刊:
Buildings and Cities
影响因子:
--
作者:
Grassie D
通讯作者:
Grassie D
影响因子:
1.7
作者:
A. Mylona
通讯作者:
A. Mylona
影响因子:
7.4
作者:
D. Jenkins;A. Peacock;P. Banfill
通讯作者:
D. Jenkins;A. Peacock;P. Banfill
DOI:
10.6028/nist.ir.5801
发表时间:
1996
期刊:
bioRxiv
影响因子:
--
作者:
S. Emmerich;A. Persily
通讯作者:
A. Persily
影响因子:
7.4
作者:
Oikonomou E
通讯作者:
Oikonomou E