Accessibility navigation

Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential

Xiaoxiong, X., Sahin, O., Luo, Z. and Yao, R. (2020) Impact of neighbourhood-scale climate characteristics on building heating demand and night ventilation cooling potential. Renewable Energy, 150. pp. 943-956. ISSN 0960-1481

[img] Text - Accepted Version
· Restricted to Repository staff only until 29 November 2020.
· Available under License Creative Commons Attribution Non-commercial No Derivatives.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1016/j.renene.2019.11.148


As buildings are main contributor to greenhouse gas emissions, it is important to assess the performance of existing buildings and assist the design of new sustainable buildings through building energy simulation. It is well known that by using local climate measurements for building energy simulation would provide more accurate result than by using other typical weather data, i.e. typical meteorological year (TMY). However, as different built forms/architectural layouts would also have impacts on neighbourhood-scale microclimate, it is worthy to quantify the difference it would make. In this study, we performed a year-long measurement with four weather stations surrounding a campus building in 2009 and 2010. Each station was placed in a typical type of built form, including a street canyon, a courtyard, a semi-closed courtyard and a relatively larger open area. Besides, two typical weather data files, typical meteorological year (TMY) and actual meteorological year (AMY) were taken as reference. Annual heating demand and natural ventilation cooling potential were calculated based on all 6 weather files. Our simulation results show that the variation in annual heating demand of different built forms could be between 1.1 - 7.3%, where the large open area has the highest heating demand and it of the courtyard is the lowest. The difference between on-site measurement and TMY in annual heating load is as high as 10.8%. While in summer, night ventilation cooling potential of the courtyard and the semi-closed form are the highest, and it of the street canyon is the lowest. Using TMY could underestimate the night ventilation cooling potential by 26 – 31% and using AMY could overestimate it by 9 – 14% in total. Overall speaking, the courtyard form shows good performance in reducing heating demand and enhancing night ventilation cooling, while the street canyon shows relatively poor performance in both aspects. These findings highlight the importance to understand the impact of neighbourhood-scale microclimate on building energy performance.

Item Type:Article
Divisions:Interdisciplinary centres and themes > Walker Institute
Faculty of Science > School of the Built Environment > Construction Management and Engineering > Innovative and Sustainable Technologies
ID Code:87507

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation