AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Heating load reduction characteristics of passive solar buildings in Tibet, China

Yanfeng Liu1,2Zuoxiang Yu2Cong Song1,2( )Dengjia Wang1,2
State Key Laboratory of Green Building in Western China, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
Show Author Information
An erratum to this article is available online at:

Abstract

China's Tibet autonomous region has abundant solar energy resources, cold winters, and cool summers. These are ideal conditions for the application of passive solar heating methods. However, differences in climatic conditions and building types can significantly affect passive solar technology's feasibility, which makes it challenging to promote passive solar buildings in Tibet. In this study, the suitability zone for passive solar technology is categorized based on the sub-zoning indicators for Tibet. By modeling between direct gain windows, Trombe walls, and attached sunspaces, the effect of indoor thermal environments and the capacity for heating load reduction is compared for different passive solar technologies. The climate-difference impact analysis shows that the Ⅰ-B-1 zone is better suited for passive solar technology than other climate zones. More specifically, this zone has an average energy-saving rate difference of up to 28.61% compared to the Ⅱ-A-1 zone. The analysis of the impact of building type differences indicates that residential buildings have higher Trombe wall-to-wall ratio limits and more significant potential for energy savings than office buildings. The study also clarifies the implications of Tibet's climate conditions and building type differences on the effectiveness of passive solar technology. Moreover, it recommends appropriate passive solar technology adoption methods for every climate zone. This study can be used as a reference and engineering guide to improving the indoor thermal environment of Tibetan buildings, tailored to the highly variable local conditions.

References

 

Alghoul SK, Rijabo HG, Mashena ME (2017). Energy consumption in buildings: A correlation for the influence of window to wall ratio and window orientation in Tripoli, Libya. Journal of Building Engineering, 11: 82–86.

 
ASHRAE (2013). ASHRAE Standard 169. Climatic Data for Building Design Standards. Atlanta, USA: Refrigerating and Air-Conditioning Engineers.
 
Athienitis AK, Santamouris M (2013). Thermal Analysis and Design of Passive Solar Buildings. London: Routledge. https://doi.org/10.4324/9781315074351
 

Bojić M, Johannes K, Kuznik F (2014). Optimizing energy and environmental performance of passive Trombe wall. Energy and Buildings, 70: 279–286.

 

Chlela F, Husaunndee A, Inard C, et al. (2009). A new methodology for the design of low energy buildings. Energy and Buildings, 41: 982–990.

 
GB50176 (2016). Code for Thermal Design of Civil Building. Beijing, China: China Architecture and Building Press. (in Chinese)
 

Givoni B (1991). Characteristics, design implications, and applicability of passive solar heating systems for buildings. Solar Energy, 47: 425–435.

 

Guo S, Yan D, Hu S, et al. (2021). Modelling building energy consumption in China under different future scenarios. Energy, 214: 119063.

 

Gong X, Akashi Y, Sumiyoshi D (2012). Optimization of passive design measures for residential buildings in different Chinese areas. Building and Environment, 58: 46–57.

 

Hastings R (2020). Passive solar heating in the built environment. Sustainable Built Environments, 351–382.

 

Hu Z, He W, Ji J, et al. (2017). A review on the application of Trombe wall system in buildings. Renewable and Sustainable Energy Reviews, 70: 976–987.

 
Huberty CJ, Olejnik S (2006). Applied MANOVA and Discriminant Analysis. Hoboken, NJ, USA: John Wiley & Sons. https://doi.org/10.1002/047178947X
 

Jaber S, Ajib S (2011). Optimum design of Trombe wall system in Mediterranean region. Solar Energy, 85: 1891–1898.

 
JGJ/T267 (2012). Technical Code for Passive Solar Buildings. Beijing, China: China Architecture and Building Press. (in Chinese)
 
JGJ/T449 (2018). Standard for Green Performance Calculation of Civil Buildings. Beijing, China: China Architecture and Building Press. (in Chinese)
 

Kendrick C, Ogden R, Wang X, et al. (2012). Thermal mass in new build UK housing: A comparison of structural systems in a future weather scenario. Energy and Buildings, 48: 40–49.

 
Klein SA, Beckman WA, Mitchell JW, et. al. (2017). TRNSYS v18: A Transient System Simulation Program. Madison, WI: Solar Energy Laboratory, University of Wisconsin-Madison.
 

Li E, Yang L, Liu JP (2016). Passive optimization design of attached sunspace residential building in Lhasa. Journal of Xi'an University of Architecture & Technology, 48: 258–264. (in Chinese)

 
Liggett R, Milne M, Gomez C, et al. (2016). Climate Consultant 6.0. Los Angeles CA, USA: Murray Milne.
 

Liu Z, Wu D, Jiang M, et al. (2017). Field measurement and evaluation of the passive and active solar heating systems for residential building based on the Qinghai-Tibetan Plateau case. Energies, 10: 1706.

 

Liu Z, Wu D, He B, et al. (2019a). Evaluating potentials of passive solar heating renovation for the energy poverty alleviation of plateau areas in developing countries: A case study in rural Qinghai-Tibet Plateau, China. Solar Energy, 187: 95–107.

 

Liu Z, Wu D, Li J, et al. (2019b). Optimizing building envelope dimensions for passive solar houses in the Qinghai-Tibetan region: window to wall ratio and depth of sunspace. Journal of Thermal Science, 28: 1115–1128.

 

Lü X, Lu T, Kibert CJ, et al (2014). A novel dynamic modeling approach for predicting building energy performance. Applied Energy, 114: 91–103.

 

Monge-Barrio A, Sánchez-Ostiz A (2015). Energy efficiency and thermal behaviour of attached sunspaces, in the residential architecture in Spain. Summer Conditions. Energy and Buildings, 108: 244–256.

 

Mottard JM, Fissore A (2007). Thermal simulation of an attached sunspace and its experimental validation. Solar Energy, 81: 305–315.

 

Omrany H, Ghaffarianhoseini A, Ghaffarianhoseini A, et al. (2016). Application of passive wall systems for improving the energy efficiency in buildings: A comprehensive review. Renewable and Sustainable Energy Reviews, 62: 1252–1269.

 
Palan S (2009). Experimental design and methodology. In: Palan S (ed), Bubbles and Crashes in Experimental Asset Markets. Berlin Heidelberg: Springer. https://doi.org/10.1007/978-3-642-02147-3
 

Parishwad GV, Bhardwaj RK, Nema VK (1997). Energy efficient houses for tropical regions of India. Institution of Engineers (India), 77: 27–31.

 

Ping X, Jiang Z, Li C (2011). Status and future perspectives of energy consumption and its ecological impacts in the Qinghai-Tibet region. Renewable and Sustainable Energy Reviews, 15: 514–523.

 

Rakoto-Joseph O, Garde F, David M, et al. (2009). Development of climatic zones and passive solar design in Madagascar. Energy Conversion and Management, 50: 1004–1010.

 

Ruiz MC, Romero E (2011). Energy saving in the conventional design of a Spanish house using thermal simulation. Energy and Buildings, 43: 3226–3235.

 

Shen H, Tzempelikos A (2013). Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading. Building and Environment, 59: 303–314.

 
Sodha MS, Bansal NK, Bansal PK, et al. (1986). Solar Passive Building. OxFord, UK: Pergamon Press.
 

Sun H, Leng M (2015). Analysis on building energy performance of Tibetan traditional dwelling in cold rural area of Gannan. Energy and Buildings, 96: 251–260.

 

Verbeke S, Audenaert A (2018). Thermal inertia in buildings: A review of impacts across climate and building use. Renewable and Sustainable Energy Reviews, 82: 2300–2318.

 

Verichev K, Zamorano M, Carpio M (2020). Effects of climate change on variations in climatic zones and heating energy consumption of residential buildings in the southern Chile. Energy and Buildings, 215: 109874.

 

Wang Q, Qiu H (2009). Situation and outlook of solar energy utilization in Tibet, China. Renewable and Sustainable Energy Reviews, 13: 2181–2186.

 

Wang D, Hu L, Du H, et al. (2020). Classification, experimental assessment, modeling methods and evaluation metrics of Trombe walls. Renewable and Sustainable Energy Reviews, 124: 109772.

 
Xue P, Li Q, Xie J, et al. (2019). Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements. Applied Energy, 233–234: 62–70. https://doi.org/10.1016/j.apenergy.2018.10.027
 

Yang J, Liu YF, Chen YW, et al. (2021). Climate zoning for the selection of appropriate passive solar heating technology. Acta Energiae Solaris Sinica, 42(6): 234–242. (in Chinese)

 

Yezioro A (2009). A knowledge based CAAD system for passive solar architecture. Renewable Energy, 34: 769–779.

 

Zhang L, Hou Y, Liu Z, et al. (2020). Trombe wall for a residential building in Sichuan-Tibet alpine valley—A case study. Renewable Energy, 156: 31–46.

 

Zhu N, Li S, Hu P, et al. (2019). Numerical investigations on per­formance of phase change material Trombe wall in building. Energy, 187: 116057.

 
Zirnhelt H, Richman R (2011). Residential passive solar design for Canadian cities: Assessing the potential. Paper presented at the ISES Solar World Congress, Kassel. https://doi.org/10.18086/swc.2011.17.39
Building Simulation
Pages 975-994
Cite this article:
Liu Y, Yu Z, Song C, et al. Heating load reduction characteristics of passive solar buildings in Tibet, China. Building Simulation, 2022, 15(6): 975-994. https://doi.org/10.1007/s12273-021-0853-0

602

Views

12

Crossref

15

Web of Science

13

Scopus

0

CSCD

Altmetrics

Received: 14 July 2021
Revised: 13 September 2021
Accepted: 11 October 2021
Published: 04 November 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021
Return