An investigation of the impact of Building Azimuth on energy consumption in sizhai traditional dwellings
Fang'ai Chi,
Jianxun Zhang,
Gaomei Li,
Zongzhou Zhu and
Dewancker Bart
Energy, 2019, vol. 180, issue C, 594-614
Abstract:
Building orientation is one of the driving factors that impacts building energy consumption, which deserves to be studied. The Sizhai traditional dwellings located in Zhejiang province were chosen as the study buildings in this paper. The geometric model was rotated at 20° increments clockwise to create a total of 18 test scenarios. Integration of virtual simulation in software, the thermal and daylighting performances in 18 test scenarios were simulated to assess their indoor comfort levels in terms of the indoor temperature, air velocity and illuminance. Furthermore, the indoor comfort level has an impact on the energy consumption of building. To this end, the electricity consumption of air conditioner (AC), electrical ventilation and artificial lighting, as well as the total annual electricity consumption including AC, electrical ventilation and artificial lighting were computed by software to explore the optimum Building Azimuth (BA). The results show that a total annual electricity cost difference of approximately 150 kW h throughout a year between the best (S) and worst (N-W80) BA of the building was achieved. By performing BA measurement for all dwellings in Sizhai village, the conclusion is that this village has a high energy saving potential.
Keywords: Building azimuth; Electricity consumption; Quantity statistics; Frequency distribution; Traditional dwelling (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421930996X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:180:y:2019:i:c:p:594-614
DOI: 10.1016/j.energy.2019.05.114
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().