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25. Life cycle assessment of white roof and sedum-tray garden roof for office buildings in China

Author

Shi, Dachuan, Gao, Yafeng, Guo, Rui, Levinson, Ronnen, Sun, Zhi, and Li, Baizhan

Subjects
Environmental Science and Management, Urban and Regional Planning
Abstract

White roof (WR) and Sedum lineare tray garden roof (STGR) have been convinced to improve the energy-efficiency and provide various benefits for conventional impervious grey roofs. Some national and local standards have standardized and recommended these technologies in existing building retrofits, however, they do not include assessment and choice of a particular roof retrofit in different climates. This paper presents a 40-year life-cycle cost analysis (LCCA) of an office building roof retrofitted by adding either WR or STGR over an existing grey roof in five cities, located in four Chinese climate zones. The LCCA find that the WR retrofits exhibit positive life-cycle net savings (NS) in warm winter zones, ranging 5.7–35.1 CNY/m 2 , and STGR retrofits have negative NS of -81.3– -16.7 CNY/m 2 in all climate zones. The NS of both WR and STGR generally tend to improve as one moves from the coldest cities to the warmest cities. LCCA results suggest that adding new building codes concerning crediting or prescribing WR and STGR retrofits into office buildings with grey roofs in hot summer climate zones and warm winter zone in China, respectively. And featured by more specific requirements, the localized Technical Norms help promote the implementation of new building codes.

Published
2019

47. Home environment exposure and sick building syndrome (SBS) symptoms among adults in southern China : Health associations in 2010 and 2019

Author

Cheng, Hong, Norbäck, Dan, Zhang, Huilin, Yang, Liu, Li, Baizhan, Zhang, Yinping, Zhao, Zhuohui, Deng, Qihong, Huang, Chen, Yang, Xu, Lu, Chan, Qian, Hua, Wang, Tingting, Zhang, Ling, Yu, Wei, Wang, Juan, Zhang, Xin, Cheng, Hong, Norbäck, Dan, Zhang, Huilin, Yang, Liu, Li, Baizhan, Zhang, Yinping, Zhao, Zhuohui, Deng, Qihong, Huang, Chen, Yang, Xu, Lu, Chan, Qian, Hua, Wang, Tingting, Zhang, Ling, Yu, Wei, Wang, Juan, and Zhang, Xin

Abstract

We studied time trends in home environment and sick building syndrome (SBS) symptoms in a repeat study in five cities in southern China. Moreover, we studied associations between home environment exposure and SBS symptoms. Parents from randomly selected day care centers were invited. One parent per family answered a questionnaire on the home environment and their own SBS symptoms. Data collection was performed in two surveys in 2010 and 2019 (27,292 participants in 2010 and 32,073 in 2019). We used two-level logistic regression to analyze health associations. Asthma decreased from 1.7% to 1.5% (P < 0.05) but allergic rhinitis increased from 6.5% to 16.4% (P < 0.001). All SBS symptoms decreased from 2010 to 2019 (all P < 0.001). Most aspects of the home environment improved from 2010 to 2019 but there were less cleaning, more cats, dogs, and urbanization in 2019. Redecoration, new furniture, and pests were associated with most types of SBS symptoms, similarly in 2010 and 2019. Environmental tobacco smoke (ETS) was associated with SBS symptoms in 2019 only. In conclusion, prevalence of SBS symptoms among young parents in southern China decreased from 2010 to 2019 but allergic rhinitis increased. Cockroaches, rats, mice, mosquitoes or flies can be consistent biological risk factors for SBS symptoms. Redecoration, buying new furniture and traffic air pollution are other risk factors for SBS symptoms. Daily cleaning, frequently putting bedding to sunshine, and having a fan in the bathroom can be protective factors. ETS is an emerging risk factor for SBS symptoms., The two first authors contributed equally to this work

Published
2024
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49. A Method of Integrating Air Conditioning Usage Models to Building Simulations for Predicting Residential Cooling Energy Consumption.

Author

Ao, Jingyun, Du, Chenqiu, Jing, Mingyi, Li, Baizhan, and Chen, Zhaoyang

Subjects
ENERGY consumption of buildings, HOME energy use, MONTE Carlo method, REGRESSION analysis, AIR conditioning, ENERGY consumption
Abstract

Great deviations in building energy consumption simulation are attributed to the simplified settings of occupants' air conditioning (AC) usage schedules. This study was designed to develop a method to quantify the uncertainty and randomness of AC usage behavior and incorporate the model into simulations, in order to improve the prediction performance of AC energy consumption. Based on long-term onsite monitoring of household thermal environments and AC usage patterns, two stochastic models were built using unsupervised cluster and statistical methods. Based on the Monte Carlo method, the AC operation schedule was generated through AC opening duration, setpoints, and other relevant parameters, and was further incorporated into EnergyPlus. The results show that the ideally deterministic AC operation settings from the standard significantly overestimate the cooling energy consumption, where the value based on the fixed mode was 6.35 times higher. The distribution of daily AC energy consumption based on the stochastic modeling was highly consistent with the actual situation, thanks to the accurate prediction of the randomness and dynamics of residents' AC usage patterns. The total cooling energy consumption based on two stochastic models was found to be much closer to the actual values. The work proposes a method of embedding stochastic AC usage models to EnergyPlus 22.1 benefits for an improvement in building energy consumption simulation and the energy efficiency evaluation regarding occupant behavior in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Effect of Gender, Age, Air-Conditioning and Thermal Experience on the Perceptions of Inhaled Air

Author

Wu, Yuxin, Liu, Hong, Li, Baizhan, Cheng, Yong, Kong, Deyu, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bagnara, Sebastiano, editor, Tartaglia, Riccardo, editor, Albolino, Sara, editor, Alexander, Thomas, editor, and Fujita, Yushi, editor

Published
2019
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