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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.
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 StyleXing 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 StyleXing 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.
To date, studies of outdoor thermal comfort (OTC) have focused primarily on physical factors, tending to overlook the relevance of individual adaptation to microclimate parameters through psychological and physiological behaviors. These adaptations can significantly affect the use of urban and outdoor spaces. The study presented here investigated these issues, with a view to aiding sustainable urban development. Measurements of OTC were taken at a university campus and in urban spaces. Simultaneously, a large-scale survey of thermal adaptability was conducted. Two groups were selected for investigation in a cold-winter-and-hot-summer (CWHS) region; respondents came from humid subtropical (Cfa) and hot desert (BWh) climates, according to the Köppen Climate Classification (KCC). Results showed that: (1) neutral physiological equivalent temperature (NPET) and preferred PET for people from the Cfa (PCfa) and BWh (PBWh) groups could be obtained with KCC; (2) PCfa adaptability behaviors were, subjectively, more adjustable than PBWhl; (3) Clothing affected neutral temperature (NT), where NT reduced by approximately 0.5 °C when clothing insulation rose 0.1 Clo; and (4) Gender barely affected thermal acceptance vote (TAV) or thermal comfort vote (TCV) and there was a substantial relationship between thermal sensation, NT, and PET. These findings suggest ‘feels like’ temperature and comfort may be adjusted via relationships between microclimate parameters.
Mehdi Makvandi; Xilin Zhou; Chuancheng Li; Qinli Deng. A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan. Sustainability 2021, 13, 678 .
AMA StyleMehdi Makvandi, Xilin Zhou, Chuancheng Li, Qinli Deng. A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan. Sustainability. 2021; 13 (2):678.
Chicago/Turabian StyleMehdi Makvandi; Xilin Zhou; Chuancheng Li; Qinli Deng. 2021. "A Field Investigation on Adaptive Thermal Comfort in an Urban Environment Considering Individuals’ Psychological and Physiological Behaviors in a Cold-Winter of Wuhan." Sustainability 13, no. 2: 678.
Qinli Deng; Zeng Zhou; Chuancheng Li; Guang Yang. Influence of a railway station and the Yangtze River on the local urban thermal environment of a subtropical city. Journal of Asian Architecture and Building Engineering 2020, 1 -16.
AMA StyleQinli Deng, Zeng Zhou, Chuancheng Li, Guang Yang. Influence of a railway station and the Yangtze River on the local urban thermal environment of a subtropical city. Journal of Asian Architecture and Building Engineering. 2020; ():1-16.
Chicago/Turabian StyleQinli Deng; Zeng Zhou; Chuancheng Li; Guang Yang. 2020. "Influence of a railway station and the Yangtze River on the local urban thermal environment of a subtropical city." Journal of Asian Architecture and Building Engineering , no. : 1-16.
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.
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 StyleZhe 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 StyleZhe 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.
In this study, subjective questionnaires and a building energy simulation were utilized to investigate the impact of air conditioner operation on the energy consumption/savings of a model building with different types of exterior wall thermal insulation. The results indicate that an intermittent energy usage mode is generally used in residential buildings in hot summer and cold winter areas. Air conditioner operation behavior is affected by the human thermal experience. The greater the indoor temperature deviates from the human comfort range, the higher the air conditioner operation frequency. Under continuous energy usage mode, the annual heating and cooling effect of the exterior thermal insulation was found to be better than that of interior thermal insulation. Under the intermittent energy usage mode without considering residents’ temperature tolerance, the annual heating and cooling effect of the interior thermal insulation was better than that of the exterior insulation. Under the intermittent energy usage mode considering tolerance levels, the energy-saving effect of the interior and exterior thermal insulation of the exterior wall was different. In the case of low and medium temperature tolerance, the annual heating and cooling energy-saving effect of the interior thermal insulation was better than the exterior thermal insulation; in the case of high tolerance, the heating and cooling energy saving effect of the exterior thermal insulation was better.
Qinli Deng; Daoru Liu; Zeng Zhou; Sha Ma. The effect of air-conditioner operation modes on the energy-saving capacity of external wall insulation in residential buildings. Energy Exploration & Exploitation 2019, 39, 620 -636.
AMA StyleQinli Deng, Daoru Liu, Zeng Zhou, Sha Ma. The effect of air-conditioner operation modes on the energy-saving capacity of external wall insulation in residential buildings. Energy Exploration & Exploitation. 2019; 39 (2):620-636.
Chicago/Turabian StyleQinli Deng; Daoru Liu; Zeng Zhou; Sha Ma. 2019. "The effect of air-conditioner operation modes on the energy-saving capacity of external wall insulation in residential buildings." Energy Exploration & Exploitation 39, no. 2: 620-636.
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.
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 StyleDaoru 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 StyleDaoru 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.
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 StyleZhe 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 StyleZhe 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.
In China, little research on outdoor thermal comfort has been conducted in the hot-summer and cold-winter zone where occupants are in the state of thermal discomfort for most time of the year. This paper presents results from both field measurement and questionnaire survey in the city of Wuhan in both summer and winter seasons about seasonal adaptation effect on outdoor thermal comfort. A total of 417 samples were collected in summer and 426 samples were collected in winter. The neutral standard effective temperature (SET*) in winter and summer was found to be 24.7°C and 25.6°C, respectively. Occupants achieved thermal comfort when their thermal sensation was slightly cool in summer and slightly warm in winter. The SET* with 100% thermal acceptance rate in summer and winter was found to be 27.9°C, 23.4°C, respectively. The results reveal large seasonal differences in achieving outdoor thermal comfort for people in hot-summer and cold-winter climate zone. This research can add more database to outdoor thermal comfort research in China and provide more insights into the thermal adaptation of seasonal effect on outdoor thermal comfort. Its findings can also assist urban designers to create thermally comfortable urban spaces in different seasons.
Zeng Zhou; Qinli Deng; Wei Yang; Junli Zhou. Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city. Advances in Building Energy Research 2019, 14, 202 -217.
AMA StyleZeng Zhou, Qinli Deng, Wei Yang, Junli Zhou. Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city. Advances in Building Energy Research. 2019; 14 (2):202-217.
Chicago/Turabian StyleZeng Zhou; Qinli Deng; Wei Yang; Junli Zhou. 2019. "Effect of seasonal adaptation on outdoor thermal comfort in a hot-summer and cold-winter city." Advances in Building Energy Research 14, no. 2: 202-217.
There has been an insufficient study of passive climate adaptability that considers both the summer and winter season for the outdoor thermal environment of hot-summer and cold-winter cities. In this study, we performed a quantitative simulation to research the passive climate adaptability of a residential area, considering piloti as the main method for climate adaptation in a hot-summer and cold-winter city in China. Numerical simulations were performed with a coupled simulation method of convection, radiation, and conduction. A cubic non-linear k–ε model proposed by Craft et al. was selected as the turbulence model and three-dimensional multi-reflections of shortwave and longwave radiations were considered in the radiation simulation. Through the simulation, we found that setting the piloti at the two ends of the building was the optimal piloti arrangement for climate adaptation. Then the relationship between the piloti ratio (0%, 20%, 40%, 60%, and 80%) and the outdoor thermal environment was studied. It could be concluded that with the increasing piloti ratio, the wind velocity increased, the mean radiant temperature (MRT) decreased slightly, and the average standard effective temperature (SET*) decreased to 3.6 °C in summer, while in winter, with the increasing piloti ratio, the wind velocity, MRT, and SET* changed slightly. The wind environment significantly affected the SET* value, and the piloti ratio should be between 12% and 38% to avoid wind-induced discomfort.
Zeng Zhou; Qinli Deng; Guang Yang; Yaolin Lin. Quantitative Study of Using Piloti for Passive Climate Adaptability in a Hot-Summer and Cold-Winter City in China. International Journal of Environmental Research and Public Health 2018, 15, 2202 .
AMA StyleZeng Zhou, Qinli Deng, Guang Yang, Yaolin Lin. Quantitative Study of Using Piloti for Passive Climate Adaptability in a Hot-Summer and Cold-Winter City in China. International Journal of Environmental Research and Public Health. 2018; 15 (10):2202.
Chicago/Turabian StyleZeng Zhou; Qinli Deng; Guang Yang; Yaolin Lin. 2018. "Quantitative Study of Using Piloti for Passive Climate Adaptability in a Hot-Summer and Cold-Winter City in China." International Journal of Environmental Research and Public Health 15, no. 10: 2202.
Fine particulate matter (PM2.5) is directly associated with smog and has become the primary factor that threatens air quality in China. In order to investigate the variation patterns of PM2.5 concentrations in various regions of Wuhan city across different time spans, we analyzed continuous monitoring data from six monitoring sites in Wuhan city from 2013 to 2017. The results showed that the PM2.5 concentration from the various monitoring sites in the five-year period showed a decreasing trend. January, October, and December are the three months with relatively high mean monthly PM2.5 concentrations in the year, while June, July, and August are the three months with relatively low mean monthly PM2.5 concentrations in the year. The number of days with a daily mean concentration of 35–75 μg/m3 was the highest, while the number of days with a daily mean concentration of more than 250 μg/m3 was the lowest. PM2.5 accounted for a large proportion of the major pollutants and is the main source of air pollution in Wuhan city, with an average proportion of over 46%.
Daoru Liu; Qinli Deng; Zeng Zhou; Yaolin Lin; Junwei Tao. Variation Trends of Fine Particulate Matter Concentration in Wuhan City from 2013 to 2017. International Journal of Environmental Research and Public Health 2018, 15, 1487 .
AMA StyleDaoru Liu, Qinli Deng, Zeng Zhou, Yaolin Lin, Junwei Tao. Variation Trends of Fine Particulate Matter Concentration in Wuhan City from 2013 to 2017. International Journal of Environmental Research and Public Health. 2018; 15 (7):1487.
Chicago/Turabian StyleDaoru Liu; Qinli Deng; Zeng Zhou; Yaolin Lin; Junwei Tao. 2018. "Variation Trends of Fine Particulate Matter Concentration in Wuhan City from 2013 to 2017." International Journal of Environmental Research and Public Health 15, no. 7: 1487.
The problem of the urban heat island is becoming increasingly serious in China, especially in the cities with hot and humid climate. As a simulation tool, the weather research and forecasting (WRF) model can reflect the situation of the urban heat island. In this article, air temperature and relative humidity above the building canopy layer of Wuhan, China, were measured to choose appropriate microphysics and boundary-layer schemes for the WRF model. Through comparison of measurements and simulation results, the case using the WSM 6 microphysics and Yonsei University boundary-layer schemes showed the best agreement with the measured data. The applicability of the appropriate model was verified against near-surface air temperature, relative humidity, and wind velocity observations from two meteorological stations. The magnitude of simulated air temperature was lower than observed, whereas the magnitudes of simulated relative humidity and wind velocity were higher. © 2016 American Institute of Chemical Engineers Environ Prog, 2016
Qinli Deng; Zeng Zhou. Measurement and evaluation of the microphysics and boundary-layer schemes in hot and humid zones in WRF model. Environmental Progress & Sustainable Energy 2016, 35, 1125 -1131.
AMA StyleQinli Deng, Zeng Zhou. Measurement and evaluation of the microphysics and boundary-layer schemes in hot and humid zones in WRF model. Environmental Progress & Sustainable Energy. 2016; 35 (4):1125-1131.
Chicago/Turabian StyleQinli Deng; Zeng Zhou. 2016. "Measurement and evaluation of the microphysics and boundary-layer schemes in hot and humid zones in WRF model." Environmental Progress & Sustainable Energy 35, no. 4: 1125-1131.