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Hua Yin
Key Laboratory of Renewable Energy, Guangzhou Institute of Energy Conversion, Chinese Academy of Science, No. 2 Nengyuan Road, Wushan, Tianhe District, Guangzhou, 510640, PR China

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Journal article
Published: 30 December 2020 in Sustainable Cities and Society
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Predicting the energy consumption of urban rail transit is conducive to reducing energy consumption in the subway system. Therefore, binary nonlinear fitting regression (BNFR) and support vector regression (SVR) models are developed to predict total electricity, traction electricity, and heating ventilation air conditioning (HVAC) system electricity consumption in subway lines as well as the electricity consumption of chillers in a subway station. The two models are compared in terms of accuracy, and the results demonstrate that the SVR model is superior to the BNFR model. The prediction accuracies of traction electricity and total electricity consumption in subway lines are high. By contrast, the prediction accuracy of the HVAC system electricity consumption in subway lines is low. This is due to numerous factors aside from outdoor temperature, operation mileages, and passenger flow, which can influence the HVAC system electricity. Thus, the influencing factors should further be investigated to increase the prediction accuracy. The electricity consumption of chillers in subway station can be predicted with the comprehensive consideration of indoor and outdoor temperatures and humidity levels, passenger flows, timetable of trains, power of new draught fans, and chilling of strong electricity rooms (SERs).

ACS Style

Zhihua Tang; Hua Yin; Caiyun Yang; Junyan Yu; Huafang Guo. Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression. Sustainable Cities and Society 2020, 66, 102690 .

AMA Style

Zhihua Tang, Hua Yin, Caiyun Yang, Junyan Yu, Huafang Guo. Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression. Sustainable Cities and Society. 2020; 66 ():102690.

Chicago/Turabian Style

Zhihua Tang; Hua Yin; Caiyun Yang; Junyan Yu; Huafang Guo. 2020. "Predicting the electricity consumption of urban rail transit based on binary nonlinear fitting regression and support vector regression." Sustainable Cities and Society 66, no. : 102690.

Journal article
Published: 07 November 2019 in Applied Sciences
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This research focused on the contents of the five most bio-toxic heavy metals, As, Cd, Hg, Cr, and Pb of 26 municipal solid waste (MSW) samples from the Eastern Guangdong Area. To investigate the apportion of the heavy metal source, Pearson correlation and principal component analysis (PCA) were introduced as major approaches. The health risks posed to MSW workers exposed to heavy metals in MSW were assessed using a Monte Carlo simulation combined with the US Environmental Protection Agency Health Risk Assessment Model. The As, Cd, Hg, Cr, and Pb contents of the east Guangdong MSW were (0.76 ± 0.75), (2.14 ± 4.44), (0.11 ± 0.14), (55.42 ± 31.88), and (30.67 ± 20.58) mg/kg, respectively. Hg, Cr, and Pb were potentially derived from glass, textile, food waste, and white plastic, while As and Cd were mainly derived from soil and food waste in the MSW. The non-carcinogenic risks of heavy metal in MSW exposure to MSW workers could be ignored. However, the heavy metals in MSW might pose carcinogenic risks, with the probabilities for male and female workers being 35% and 45%, respectively. The non-carcinogenic and carcinogenic risk indices were slightly higher for female workers under the same exposure situations.

ACS Style

Zhihua Tang; Minru Liu; Linzi Yi; Huafang Guo; Tingping Ouyang; Hua Yin; Mingkun Li. Source Apportionment and Health Risk Assessment of Heavy Metals in Eastern Guangdong Municipal Solid Waste. Applied Sciences 2019, 9, 4755 .

AMA Style

Zhihua Tang, Minru Liu, Linzi Yi, Huafang Guo, Tingping Ouyang, Hua Yin, Mingkun Li. Source Apportionment and Health Risk Assessment of Heavy Metals in Eastern Guangdong Municipal Solid Waste. Applied Sciences. 2019; 9 (22):4755.

Chicago/Turabian Style

Zhihua Tang; Minru Liu; Linzi Yi; Huafang Guo; Tingping Ouyang; Hua Yin; Mingkun Li. 2019. "Source Apportionment and Health Risk Assessment of Heavy Metals in Eastern Guangdong Municipal Solid Waste." Applied Sciences 9, no. 22: 4755.

Journal article
Published: 11 January 2019 in Processes
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The reduced natural waters and the large amount of wastewater produced by textile industry necessitate an effective water reuse treatment. In this study, a combined two-stage water reuse treatment was established to enhance the quality and recovery rate of reused water. The primary treatment incorporated a flocculation and sedimentation system, two sand filtration units, an ozonation unit, an ultrafiltration (UF) system, and a reverse osmosis (RO) system. The second treatment included an ozonation unit, a sand filtration unit, and UF and RO systems. The color removal rate increased with the increasing ozone dosage, and the relational expression between the ozone dosage and color removal rate was fitted. Ozonation greatly reduced the color by 92.59 and 97.27 times during the primary and second ozonation stages, respectively. RO had the highest removal rate. The combined processes showed good performance in water reuse treatment. The treated, reused water satisfied the reuse standard and surpassed the drinking water standard rates for chemical oxygen consumption (CODcr), color, NH3-N, hardness, Cl−, SO42−, turbidity, Fe3+, and Cu2+. The operating cost of reuse water treatment was approximately 0.44 USD·m−3.

ACS Style

Hua Yin; Peiwen Qiu; YuanGe Qian; Zhuwen Kong; Xiaolong Zheng; Zhihua Tang; Huafang Guo. Textile Wastewater Treatment for Water Reuse: A Case Study. Processes 2019, 7, 34 .

AMA Style

Hua Yin, Peiwen Qiu, YuanGe Qian, Zhuwen Kong, Xiaolong Zheng, Zhihua Tang, Huafang Guo. Textile Wastewater Treatment for Water Reuse: A Case Study. Processes. 2019; 7 (1):34.

Chicago/Turabian Style

Hua Yin; Peiwen Qiu; YuanGe Qian; Zhuwen Kong; Xiaolong Zheng; Zhihua Tang; Huafang Guo. 2019. "Textile Wastewater Treatment for Water Reuse: A Case Study." Processes 7, no. 1: 34.

Journal article
Published: 01 May 2018 in Applied Thermal Engineering
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Thermoeconomic analysis combines exergy and economic analysis to evaluate and improve the performance of energy systems. This study utilized exergetic production cost (EPC), based on combined exergy and life-cycle cost analysis (LCCA), to optimize the insulation thickness of a pipeline system with a variable secondary pump in a subway central cooling system. The effects of the selected variables on insulation thickness optimization were also investigated. The results of the EPC and energetic cost (EC) methods were compared using payback period and total environmental impact of the pipe system, respectively. Results showed that the optimum insulation thickness (OIT) is higher for exergoeconomic optimization than for energoeconomic optimization. EC method is a good way for economic impacts considered, while EPC method is a better choice for environmental advantages considered. Moreover, cooling loss and the OIT significantly differ between fresh and used chilled water. Therefore, the characteristics of the supply and return pipes should be jointly considered in calculating the insulation thickness.

ACS Style

Hua Yin; Huafang Guo; Zhenrong Lin; Weiqiang Xiao; Zhentao Duan. Determining optimum insulation thickness by thermoeconomic analysis for a pipeline system in a subway central cooling system. Applied Thermal Engineering 2018, 136, 454 -461.

AMA Style

Hua Yin, Huafang Guo, Zhenrong Lin, Weiqiang Xiao, Zhentao Duan. Determining optimum insulation thickness by thermoeconomic analysis for a pipeline system in a subway central cooling system. Applied Thermal Engineering. 2018; 136 ():454-461.

Chicago/Turabian Style

Hua Yin; Huafang Guo; Zhenrong Lin; Weiqiang Xiao; Zhentao Duan. 2018. "Determining optimum insulation thickness by thermoeconomic analysis for a pipeline system in a subway central cooling system." Applied Thermal Engineering 136, no. : 454-461.

Conference paper
Published: 01 January 2017 in Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
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ACS Style

Hua Yin; Huafang Guo; Zhenrong Lin; Bo Zeng. Economical Insulation Layer of the Secondary Pump Lines in the Subway Central Cooling System. Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) 2017, 1 .

AMA Style

Hua Yin, Huafang Guo, Zhenrong Lin, Bo Zeng. Economical Insulation Layer of the Secondary Pump Lines in the Subway Central Cooling System. Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017). 2017; ():1.

Chicago/Turabian Style

Hua Yin; Huafang Guo; Zhenrong Lin; Bo Zeng. 2017. "Economical Insulation Layer of the Secondary Pump Lines in the Subway Central Cooling System." Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) , no. : 1.

Conference paper
Published: 01 January 2017 in Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
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ACS Style

Hua Yin; Huafang Guo; Zhenrong Lin; Bo Zeng. CFD Simulation of Air-conditioning System in the Public Area of a Metro Station and Research on Energy-saving Operation Scheme. Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) 2017, 1 .

AMA Style

Hua Yin, Huafang Guo, Zhenrong Lin, Bo Zeng. CFD Simulation of Air-conditioning System in the Public Area of a Metro Station and Research on Energy-saving Operation Scheme. Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017). 2017; ():1.

Chicago/Turabian Style

Hua Yin; Huafang Guo; Zhenrong Lin; Bo Zeng. 2017. "CFD Simulation of Air-conditioning System in the Public Area of a Metro Station and Research on Energy-saving Operation Scheme." Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017) , no. : 1.