THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

External Links

Yunpeng Qin

,

Shifen Li

,

Yuan Kuang

OPTIMIZATION ANALYSIS OF RESIDENTIAL SPACE IN COLD REGION BASED ON BUILDING PERFORMANCE SIMULATION

ABSTRACT
Purpose-Rural residential buildings in China’s cold areas still have large room for improvement in lighting, energy saving and other aspects due to their own development lag. Design/methodology/approach-Taking Zhaoyuan County residential buildings as an example, the spatial elements of residential buildings are quantified, and the variation intervals of each spatial element are determined based on this. Then the standard model of residential buildings is constructed, and the changing trend and related mechanism of heating energy consumption and natural lighting under the change of residential space elements are discussed. Findings-The results show that: in terms of heating energy saving, there is an obvious optimal solution between the window wall ratio of the south facade and the orientation of residential buildings; in indoor natural lighting, all spatial elements show positive and negative correlation without considering glare; building depth, eave height and plane girth area ratio are the key variables affecting heating energy consumption. Window to floor ratio, building eave height, building depth, and plane aspect ratio are the key variables that affect indoor lighting. The research results can provide reference for the energy-saving construction of residential buildings in cold areas.
KEYWORDS
performance simulation, cold regions, Spatial optimization, Data analysis
PAPER SUBMITTED: 2023-06-22
PAPER REVISED: 2023-07-18
PAPER ACCEPTED: 2023-08-18
PUBLISHED ONLINE: 2023-09-02
DOI REFERENCE: https://doi.org/10.2298/TSCI230622187Q
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 5, PAGES [4333 - 4344]
REFERENCES
  1. Yang, L., Liu, J. P. Inheritance and Regeneration of Cave Dwellings in Loess Plateau, Architectural Heritage, 2021 (2021), 02, pp. 22-31
  2. Yang, X., et al., Energy and Environment in Chinese Rural Housing: Current Status and Future Perspec-tive, Frontiers of Energy & Power Engineering in China, 4 (2009), 1, pp. 35-46
  3. Shan, M., et al., Energy and Environment in Chinese Rural Buildings: Situations, Challenges, and Inter-vention Strategies, Building & Environment, 91 (2015), Sept., pp. 271-282
  4. Yang, W. J., Gao, Q., Research on the Application of Low Energy Consumption Technology for Resi-dential Buildings in Jiangnan Water Towns and Villages, Southern Architecture, 02 (2017), pp. 56-61
  5. Yang, W. J., et al., Research on the Design Strategy of Green Ecological Rural Housing in Qinghai, Dynamic (Eco-City and Green Building), Z1 (2015), pp. 112-119
  6. Jin, H., et al., Study on the Design of Low Energy Consumption and High Comfort Village Housing for Extreme Cold Climate: A Case Study on the Design of Migrant New Village in Wuniuhe Town, Zhalantun, Architectural Journal, 02 (2015), pp. 74-77
  7. Wang, Z., Wang, J., Research and Practice on the Spatial Form of Rural Housing in Northern Zhejiang Under the Guidance of Low-Carbon, New Building, 01 (2015), pp. 32-37
  8. Qin, Y. Y., Zhou, T. J., Research on Passive low Energy Consumption Design of Rural Residential Buildings in Semi-Urban Areas, New Building, 5 pp. 62-66
  9. Chen, P. D., et al., Research on Opening Strategy and Climate Adaptability of Traditional Residential Houses in Jiangnan Integrated with Nature, Housing Science and Technology, 30 (2010), 09, pp. 13-16
  10. Yang, L., et al., Research on Design Strategy of Green Residential Buildings in Extreme Dry Hot and Cold Climate, Industrial Architecture, 50 (2020), 07, pp. 28-33
  11. Zhang, F. F, et al., Ventilation Optimization Strategy and Efficiency of Rural Residential Buildings in Luoyang, Industrial Buildings, 50 (2019), 07, pp. 34-40
  12. Wang, F., Zhang, H. Y., Analysis and Research on Indoor Thermal Environment of Sunroom Residential Buildings in Diqing Tibetan Area in Winter, Industrial Architecture, 50 (2020), 07, pp. 107-112
  13. He, J. Z., et al., Energy Consumption Optimization and Renewal of Rural Residential Buildings in Hexi Corridor, World Architecture, 03 (2022), pp. 92-97.
  14. Liu, Q. B., Yang, W. T., Multi-Objective Optimal Layout of Outdoor Thermal Comfort in Residential Areas Based on Climate Characteristics: A Case Study of Xi ‘an., Journal of Xi ‘an University of Archi-tecture and Technology, Natural Science Edition, 54 (2022), 01, pp. 54-60
  15. Sun, C., Han, Y. S. Research on Intelligent Optimal Design of Building Green Performance Based on Computational Thinking, Journal of Architecture, 10 (2020), pp. 88-94
  16. Shao, T., et al., Current Situation Analysis and Improvement Strategy of Rural Housing in Northeast China, Chinese Science and Technology Papers, 11 (2016), 01, pp. 12-16
  17. Reinhart, C. F., Walkenhorst, O., Dynamic RADIANCE-Based Daylight Simulations for a Full-Scale Test Office with Outer Venetian Blinds, Energy and Buildings, 33 (2001), 7, pp. 683-697
  18. Reinhart, C. F., Effects of Interior Design on the Daylight Availability in Open Plan Offices, Proceedings, ACE3 2002 Summer Study on Energy Efficiency in Buildings, Pacific Grove, Cal., USA, 2002, pp. 1563-1569
  19. Reinhart, C. F., Andersen, M., Development and Validation of a Radiance Model for a Translucent Panel, Energy and Buildings, 38 (2006), 7, pp. 890-904
  20. Bi, X. J., Liu, C. H., Future Design: Parametric Performance Design Method Based on Lady-bug+Honeybee, Architects, 01 (2018), pp. 131-136
  21. Bastos, P. G., Fernandez, B. C., A Case Study of Empirical Validation of EnergyPlus Infiltration Models Based on Different Wind Data, Buildings, 13 (2023), 2, 511
  22. Choul, W. K., Kang, J. L., Integrated Daylighting Design by Combining Passive Method with DaySim in a Classroom, Energies, 11 (2018), 11, 3168
  23. ***, Ministry of Housing and Urban-Rural Development of the People's Republic of China. JGJ26-2018 Standard for Energy Efficiency Design of Residential Buildings in Cold and Cold Areas, Architecture and Architecture Press, Beijing, China, 2018
PDF VERSION [DOWNLOAD]
Optimization analysis of residential space in cold region based on building performance simulation

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence