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Zhigang Ren
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

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Journal article
Published: 15 April 2021 in Sustainability
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With the increasing of building energy consumptions, the related issues of energy crisis and environmental pollution become more and more prominent. As an effective energy-saving technology, the passive house (PH) has been widely applied in China to reduce the building energy utilization. However, the design and application of PH vary with different climate conditions. Therefore, it is significant to conduct the parameterization of PH and propose a suitable design zoning of PH in China. In our study, a comprehensive feasibility analysis of the implementation of PH is performed, which chooses 31 representative cities covering 5 climatic regions. The sensitivity analysis firstly filters the key parameters that heavily affect energy consumption. The results indicate that the key parameters include external wall heat transfer coefficient (WU), basement ceiling heat transfer coefficient (BCU), solar heat gain coefficient (SHGC), glass G value (UG), heat recovery efficiency (HERE) and humidity recovery efficiency (HURE). Then, with the multiple regression approach, the values of key parameters are optimized. Based on the determined values of sensitive parameters, the design zoning of PH in China is finally proposed, which can guide the design of PH as well as enhance the application of PH in China.

ACS Style

Xing Li; Qinli Deng; Zhigang Ren; Xiaofang Shan; Guang Yang. Parametric Study on Residential Passive House Building in Different Chinese Climate Zones. Sustainability 2021, 13, 4416 .

AMA Style

Xing Li, Qinli Deng, Zhigang Ren, Xiaofang Shan, Guang Yang. Parametric Study on Residential Passive House Building in Different Chinese Climate Zones. Sustainability. 2021; 13 (8):4416.

Chicago/Turabian Style

Xing Li; Qinli Deng; Zhigang Ren; Xiaofang Shan; Guang Yang. 2021. "Parametric Study on Residential Passive House Building in Different Chinese Climate Zones." Sustainability 13, no. 8: 4416.

Conference paper
Published: 20 March 2020 in Soil and Recycling Management in the Anthropocene Era
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The acquisition of accurate knowledge of diffuse solar radiation is essential for the conversion and application of solar energy. Nevertheless, most regions around China lack the accurate measured diffuse solar radiation. The main purpose of this study is to establish reliable models for estimating diffuse solar radiation based on the clearness index for both annual and seasonal scenarios. For this purpose, 15 existing diffuse solar radiation models, including nine existing diffuse fraction and six existing diffuse coefficient models, were calibrated for estimation of daily diffuse solar radiation. Long-term, continuously measured global and diffuse solar radiation data were utilized as calibration and validation models. Five statistical parameters such as the mean absolute error (MAE), root mean square error (RMSE), uncertainty indicator at 95% (U95), mean absolute percentage error (MAPE), the correlation coefficient (R), and a global performance indicator (GPI) were used for evaluating the performance and accuracy of the calibrated models. The results showed that the calibrated best-performing models can estimate the daily diffuse solar radiation on a horizontal surface with good accuracy for both annual and seasonal scenarios. Moreover, the calibrated best-performing models can be used for estimating the daily diffuse solar radiation in regions like Wuhan.

ACS Style

Zhe Song; Zhigang Ren; Qinli Deng; Xin Chen. Generalized Models for Estimation of Diffuse Solar Radiation Based on Clearness Index. Soil and Recycling Management in the Anthropocene Era 2020, 97 -105.

AMA Style

Zhe Song, Zhigang Ren, Qinli Deng, Xin Chen. Generalized Models for Estimation of Diffuse Solar Radiation Based on Clearness Index. Soil and Recycling Management in the Anthropocene Era. 2020; ():97-105.

Chicago/Turabian Style

Zhe Song; Zhigang Ren; Qinli Deng; Xin Chen. 2020. "Generalized Models for Estimation of Diffuse Solar Radiation Based on Clearness Index." Soil and Recycling Management in the Anthropocene Era , no. : 97-105.

Journal article
Published: 05 December 2019 in Science of The Total Environment
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In addition to fine particulate matter and oxysulfides, nitrogen oxides (NOx) emitted by motor vehicles are among the most important pollutants affecting air quality and public health in those urban areas where centralized heating and chemical industry absent. We utilized correlation analysis (pearson correlation coefficient and spearman correlation coefficient) and principal component analysis (PCA) to identify the variation trends and main causes of NOx emissions from motor vehicles in Wuhan City. We considered the total number of motor vehicles (TN), ratios of motor vehicles of different emission standards (RE), rations of labeled motor vehicles (RL), and rations of motor vehicles’ fuel types (RF). The results show that: 1) with an increase in the total amount of motor vehicles, the NOx emissions of motor vehicles have been decreasing since 2015; 2) three sub-categories (the ratio of the State III emission standard, the ration of yellow label diesel vehicles, and the ration of diesel vehicles) were recognized as key indexes of PE, PL and PF, respectively, in the PCA; 3) a new parameter, the ESindex is proposed as an index to represent the variation trend of the NOx emissions of motor vehicles in Wuhan City.

ACS Style

Daoru Liu; Qinli Deng; Zhigang Ren; Zeng Zhou; Zhe Song; Jiahui Huang; Ruibo Hu. Variation trends and principal component analysis of nitrogen oxide emissions from motor vehicles in Wuhan City from 2012 to 2017. Science of The Total Environment 2019, 704, 134987 .

AMA Style

Daoru Liu, Qinli Deng, Zhigang Ren, Zeng Zhou, Zhe Song, Jiahui Huang, Ruibo Hu. Variation trends and principal component analysis of nitrogen oxide emissions from motor vehicles in Wuhan City from 2012 to 2017. Science of The Total Environment. 2019; 704 ():134987.

Chicago/Turabian Style

Daoru Liu; Qinli Deng; Zhigang Ren; Zeng Zhou; Zhe Song; Jiahui Huang; Ruibo Hu. 2019. "Variation trends and principal component analysis of nitrogen oxide emissions from motor vehicles in Wuhan City from 2012 to 2017." Science of The Total Environment 704, no. : 134987.

Journal article
Published: 29 August 2019 in Sustainability
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In this paper, onsite measurements and a subjective questionnaire were conducted to study the thermal environment and heating condition of bedrooms during the winter in rural areas in China’s hot summer and cold winter (HSCW) region. Indoor and outdoor thermal environmental parameters were measured to evaluate the thermal conditions of bedrooms. Thermal sensation/tendency/acceptance, heating, and health condition were investigated to complete the analysis of attitudes of local residents on the thermal environment of bedrooms, heating and health issues, as well as the analysis of buildings. The observed results demonstrate that occupants in this region have a strong tolerance to low-temperature environments with the 80% acceptable lower temperature of 4.7 °C and a neutral temperature of 10.7 °C, with an average clothing insulation over 2.2 clo. Oversized volume and acreage of buildings and windows induce a lower temperature in the bedroom. Infants have a significant effect on heating requirements, including heating duration and temperature setpoint. Local residents are highly concerned about the costs, safety, and health related to heating and thermal environments. All evidence obtained through this investigation shows that it is beneficial to formulate regulations for the shape, envelope, and centralized heating policy for rural residential buildings in the HSCW region.

ACS Style

Daoru Liu; Zhigang Ren; Shen Wei; Zhe Song; Peipeng Li; Xin Chen. Investigations on the Winter Thermal Environment of Bedrooms in Zhongxiang: A Case Study in Rural Areas in Hot Summer and Cold Winter Region of China. Sustainability 2019, 11, 4720 .

AMA Style

Daoru Liu, Zhigang Ren, Shen Wei, Zhe Song, Peipeng Li, Xin Chen. Investigations on the Winter Thermal Environment of Bedrooms in Zhongxiang: A Case Study in Rural Areas in Hot Summer and Cold Winter Region of China. Sustainability. 2019; 11 (17):4720.

Chicago/Turabian Style

Daoru Liu; Zhigang Ren; Shen Wei; Zhe Song; Peipeng Li; Xin Chen. 2019. "Investigations on the Winter Thermal Environment of Bedrooms in Zhongxiang: A Case Study in Rural Areas in Hot Summer and Cold Winter Region of China." Sustainability 11, no. 17: 4720.

Journal article
Published: 05 June 2019 in Renewable Energy
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Solar energy is the most prominent kind of renewable energy resource. Accessibility to accurate information on diffuse solar radiation is critical to solar energy applications. This study primarily aims to present a general approach for estimating diffuse solar radiation in China's subtropical monsoon climatic zone. For this purpose, 46 existing empirical models in eight sub-categories were investigated for estimating diffuse solar radiation. Long-term, continuously measured solar radiation and other meteorological data were used for calibration and validation models. General models on both daily and monthly mean daily bases were established from the best-performing models. Among the daily basis models, FCS3 exhibited superiority as compared to the other models with the lowest average MAE, RMSE, U95, MAPE, and the largest average R2 of 0.854 MJ/m2, 1.376 MJ/m2, 3.658, 10.924%, and 0.888, respectively. The best overall performance on a monthly mean daily basis was obtained by CCS3 with corresponding statistical indicators of 0.569 MJ/m2, 0.723 MJ/m2, 1.866, 8.870%, and 0.938. Moreover, the percentage gap between the general and best site-dependent model performances was lower than 20% for most of the statistical indicators. Overall, the general models could be used to estimate the diffuse solar radiation in areas without diffuse solar radiation records.

ACS Style

Zhe Song; Zhigang Ren; Qinli Deng; Xin Kang; Mi Zhou; Daoru Liu; Xin Chen. General models for estimating daily and monthly mean daily diffuse solar radiation in China's subtropical monsoon climatic zone. Renewable Energy 2019, 145, 318 -332.

AMA Style

Zhe Song, Zhigang Ren, Qinli Deng, Xin Kang, Mi Zhou, Daoru Liu, Xin Chen. General models for estimating daily and monthly mean daily diffuse solar radiation in China's subtropical monsoon climatic zone. Renewable Energy. 2019; 145 ():318-332.

Chicago/Turabian Style

Zhe Song; Zhigang Ren; Qinli Deng; Xin Kang; Mi Zhou; Daoru Liu; Xin Chen. 2019. "General models for estimating daily and monthly mean daily diffuse solar radiation in China's subtropical monsoon climatic zone." Renewable Energy 145, no. : 318-332.

Journal article
Published: 04 April 2019 in Environmental Progress & Sustainable Energy
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ACS Style

Zhe Song; Qinli Deng; Zhigang Ren. Correlation and principal component regression analysis for studying air quality and meteorological elements in Wuhan, China. Environmental Progress & Sustainable Energy 2019, 39, 1 .

AMA Style

Zhe Song, Qinli Deng, Zhigang Ren. Correlation and principal component regression analysis for studying air quality and meteorological elements in Wuhan, China. Environmental Progress & Sustainable Energy. 2019; 39 (1):1.

Chicago/Turabian Style

Zhe Song; Qinli Deng; Zhigang Ren. 2019. "Correlation and principal component regression analysis for studying air quality and meteorological elements in Wuhan, China." Environmental Progress & Sustainable Energy 39, no. 1: 1.