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| 1 | Fate of tetracyclines in swine manure of three selected swine farms in China显示文摘Veterinary antibiotics can enter the environment due to the common practice of land application of manure from treated animals.The environmental fate of tetracyclines in swine manure after composting and field application remains largely unknown.This study analyzed the concentrations of tetracyclines in manure,manure-based compost and compost amended soil in selected swine farms from Beijing,Jiaxing and Putian,China to determine the dilution effects of antibiotics when released into the soil environment.The results demonstrate that residues of antibiotics were detected in all samples and chlortetracycline as well as its degradation products should be regarded critically concerning their potential ecotoxicity.Application of manure-based compost to soil could reduce the possible risk posed by antibiotic contamination,but the trigger value of 100 μg/kg was still exceeded in soil samples (776.1 μg/kg dw) from Putian City after application of compost.Field studies such as the present one can help to improve the routine administration of antibiotic-containing composted manure. | Min Qiao Wangda Chen Jianqiang Su Bing Zhang Cai Zhang | 2012 | Journal of Environmental Sciences2012，24，6： | 26 |
| 2 | Coordinated Demand Response of Rail Transit Load and Energy Storage System Considering Driving Comfort显示文摘Electric trains typically travel across the railway networks in an inter-provincial,inter-city and intra-city manner.The electric train generally serves as a load/source in tractive/brake mode,through which power networks and railway networks are closely coupled and mutually influenced.Based on the operational mode of rail trains and the characteristics of their load power,this paper proposes a coordinated optimal decisionmaking method of demand response for controllable load of rail trains and energy storage systems.First,a coordinated approach of dynamically adjusting the load of the controllable rail train in considering the driving comfort and energy storage battery is designed.Secondly,under the time conditions that satisfy the train’s operational diagram,the functional relationship between the train speed and the load power is presented.Based on this,in considering the constraints of the train’s arrival time,driving speed,motor power,and driving comfort,the capacity of energy storage batteries and other constraints,an optimization model for demand response in managing the traction power supply system under a two-part price and time-of-use(TOU)price is proposed.The objective is to minimize the energy consumption costs of rail transit trains,and optimize the speed trajectory of rail trains,the load power of traction system,and the output of energy storage batteries. | Hongming Yang Wangda Shen Qian Yu Junpeng Liu Yizhe Jiang Emmanuel Ackom Zhao Yang Dong | 2020 | CSEE Journal of Power and Energy Systems2020，6，4： | 4 |
| 3 | Evaluating the energy impact potential of energy efficiency measures for retrofit applications:A case study with U.S.medium office buildings显示文摘Quantifying the energy savings of various energy efficiency measures(EEMs)for an energy retrofit project often necessitates an energy audit and detailed whole building energy modeling to evaluate the EEMs;however,this is often cost-prohibitive for small and medium buildings.In order to provide a defined guideline for projects with assumed common baseline characteristics,this paper applies a sensitivity analysis method to evaluate the impact of individual EEMs and groups these into packages to produce deep energy savings for a sample prototype medium office building across 15 climate zones in the United States.We start with one baseline model for each climate zone and nine candidate EEMs with a range of efficiency levels for each EEM.Three energy performance indicators(EPIs)are defined,which are annual electricity use intensity,annual natural gas use intensity,and annual energy cost.Then,a Standard Regression Coefficient(SRC)sensitivity analysis method is applied to determine the sensitivity of each EEM with respect to the three EPIs,and the relative sensitivity of all EEMs are calculated to evaluate their energy impacts.For the selected range of efficiency levels,the results indicate that the EEMs with higher energy impacts(i.e.,higher sensitivity)in most climate zones are high-performance windows,reduced interior lighting power,and reduced interior plug and process loads.However,the sensitivity of the EEMs also vary by climate zone and EPI;for example,improved opaque envelope insulation and efficiency of cooling and heating systems are found to have a high energy impact in cold and hot climates. | Yunyang Ye Kathryn Hinkelman Yingli Lou Wangda Zuo Gang Wang Jian Zhang | 2021 | Building Simulation2021，14，5： | 2 |
| 4 | Daily power demand prediction for buildings at a large scale using a hybrid of physics-based model and generative adversarial network显示文摘Power demand prediction for buildings at a large scale is required for power grid operation.The bottom-up prediction method using physics-based models is popular,but has some limitations such as a heavy workload on model creation and long computing time.Top-down methods based on data driven models are fast,but less accurate.Considering the similarity of power demand patterns of single buildings and the superiority of generative adversarial network(GAN),this paper proposes a new method(E-GAN),which combines a physics-based model(EnergyPlus)and a data-driven model(GAN),to predict the daily power demand for buildings at a large scale.The new E-GAN method selects a small number of typical buildings and utilizes EnergyPlus models to predict their power demands.Utilizing the prediction for those typical buildings,the GAN then is adopted to forecast the power demands of a large number of buildings.To verify the proposed method,the E-GAN is used to predict 24-hour power demands for a set of residential buildings.The results show that(1)4.3%of physics-based models in each building category are required to ensure the prediction accuracy;(2)compared with the physics-based model,the E-GAN can predict power demand accurately with only 5%error(measured by mean absolute percentage error,MAPE)while using only approximately 9%of the computing time;and(3)compared with data-driven models(e.g.,support vector regression,extreme learning machine,and polynomial regression model),E-GAN demonstrates at least 60%reduction in prediction error measured by MAPE. | Chenlu Tian Yunyang Ye Yingli Lou Wangda Zuo Guiqing Zhang Chengdong Li | 2022 | Building Simulation2022，15，9： | 2 |
| 5 | 显示文摘 | 王道爱(WangDA) 刘盈(LiuY) 王成伟(WangCW) 周峰(ZhouF) | | 化学进展0，，： | 2 |
| 6 | A novel air distribution method-Principles of air curtain ventilation 显示文摘 | Li Angui Yin Haiguo Zhang Wangda | 2012 | International Journal of Ventilation2012，10，4： | 1 |
| 7 | A novel air distribution method - Principles of air curtain ventilation 显示文摘 | Li Angui Yin Haiguo Zhang Wangda | 2012 | International Journal of Ventilation2012，10，4： | 1 |
| 8 | Fast and Informative Flow Simulations in a Building by Using Fast Fluid Dynamics Model on Graphics Processing Unit显示文摘 | Zuo Wangda Chen Qingyan | 2010 | Building and Environment2010，45，3： | 1 |
| 9 | Variation in rice quality of different cultivars and grain positions as affected by water management显示文摘 | Wangda Cheng Guoping Zhang Guoping Zhao Haigen Yao Haiming Xu | 2002 | Field Crops Research2002，，3： | 1 |
| 10 | Facile strategy for carbon foam fabrication with lignin as sole feedstock and its applications显示文摘This research is a follow-up to our recent discovery of a facile strategy for directly converting lignin powder into carbon foam.In this work,we report that the thermal pretreatment parameters in air can remarkably influence the formation and properties of the derived carbon foam.Thermal pretreatment parameters(heating rate,temperature,and residence time)were systematically investigated and a conversion mechanism into carbon foam was proposed.During the thermal pretreatment,relatively low temperatures,low heating rates,and short residence time hindered the formation of smooth and well-connected structures in the carbon foam.The overall product yields were similar regardless of the thermal pretreatment conditions.The densities of the different carbon foams ranged 0.27–0.83 g∙cm^(−3).The carbon foams with the highest compressive strengths(>10 MPa)were KLPC280-2-5,KLPC300-0-5,and KLPC300-2-2.5.KLPC280-2-5 exhibited a high iodine sorption value(182 mg∙g^(−1)).KLPC300-2-5 exhibited a specific capacitance of 158 F∙g^(−1) at a current density of 0.05 A∙g^(−1).The maximum evaporation rates in the solar vapor generation experiments were 1.05 and 1.38 kg∙m^(−2)∙h^(−1) under 100 and 150 mW∙cm^(−2) irradiation,respectively.The good performances are attributed to the robust,porous,and continuous structure. | Linghong Yin Zizhu Zhao Meng Han Wangda Qu | 2023 | Frontiers of Chemical Science and Engineering2023，17，8： | 1 |
| 11 | Variation in rice quality of different cultivars and grain positions as affected by water management显示文摘 | Wangda Cheng Guoping Zhang Guoping Zhao Haigen Yao Haiming Xu | 2002 | Field Crops Research2002，，3： | 1 |
| 12 | Synthesisandcharacterizationofanoveldegradablephosphate-containinghydrogel显示文摘 | WangDA WilliamsCG LiQA etal | 2003 | Biomaterials2003，24，： | 1 |
| 13 | Genotypie and envi- mrmlental variation in chromium, cadmium and lead conceta - trations in rice 显示文摘 | Zeng Fartrong Mao Ying Cheng Wangda | 2008 | Environmental pollution (Barking Essex: 1987 )2008，153，02： | 1 |
| 14 | Genotypic and environmental variation in chromium, cadmium and lead concentrations in rice显示文摘 | Fanrong Zeng Ying Mao Wangda Cheng Feibo Wu Guoping Zhang | 2007 | Environmental Pollution2007，，2： | 1 |
| 15 | Stromal cell-derived factor-1(SDF-1):homing factor for engineered regenerative medicine显示文摘 | LauTT WangDA | 2011 | Expert Opin Biol Ther2011，11，2： | 1 |
| 16 | The trace fossils of Silurian and Devoniansystems of the northwestern region Hunnan Province显示文摘 | ZhangXin—ping(张欣平) ZhangChun—chen(张纯臣) WangDa—ren(王大任) | 1986 | 湖南地质1986，5，2： | 1 |
| 17 | Effects of pH, Fe, and Cd on the uptake of Fe 2+ and Cd 2+ by rice显示文摘 | Danqing Liu Chunhua Zhang Xue Chen Yazhou Yang Shu Wang Yujiao Li Hao Hu Ying Ge Wangda Cheng | 2013 | Environmental Science and Pollution Research2013，，12： | 1 |
| 18 | Quantifying spatiotemporal variability in occupant exposure to an indoor airborne contaminant with an uncertain source location显示文摘Well-mixed zone models are often employed to compute indoor air quality and occupant exposures.While effective,a potential downside to assuming instantaneous,perfect mixing is underpredicting exposures to high intermittent concentrations within a room.When such cases are of concern,more spatially resolved models,like computational-fluid dynamics methods,are used for some or all of the zones.But,these models have higher computational costs and require more input information.A preferred compromise would be to continue with a multi-zone modeling approach for all rooms,but with a better assessment of the spatial variability within a room.To do so,we present a quantitative method for estimating a room’s spatiotemporal variability,based on influential room parameters.Our proposed method disaggregates variability into the variability in a room’s average concentration,and the spatial variability within the room relative to that average.This enables a detailed assessment of how variability in particular room parameters impacts the uncertain occupant exposures.To demonstrate the utility of this method,we simulate contaminant dispersion for a variety of possible source locations.We compute breathing-zone exposure during the releasing(source is active)and decaying(source is removed)periods.Using CFD methods,we found after a 30 minutes release the average standard deviation in the spatial distribution of exposure was approximately 28%of the source average exposure,whereas variability in the different average exposures was lower,only 10%of the total average.We also find that although uncertainty in the source location leads to variability in the average magnitude of transient exposure,it does not have a particularly large influence on the spatial distribution during the decaying period,or on the average contaminant removal rate.By systematically characterizing a room’s average concentration,its variability,and the spatial variability within the room important insights can be gained as to how much uncertainty is introduced into occupant exposure predictions by assuming a uniform in-room contaminant concentration.We discuss how the results of these characterizations can improve our understanding of the uncertainty in occupant exposures relative to well-mixed models. | John E.Castellini Jr Cary A.Faulkner Wangda Zuo Michael D.Sohn | 2023 | Building Simulation2023，16，6： | 0 |
| 19 | Fast prediction of indoor airflow distribution inspired by synthetic image generation artificial intelligence显示文摘Prediction of indoor airflow distribution often relies on high-fidelity,computationally intensive computational fluid dynamics(CFD)simulations.Artificial intelligence(Al)models trained by CFD data can be used for fast and accurate prediction of indoor airflow,but current methods have limitations,such as only predicting limited outputs rather than the entire flow field.Furthermore,conventional Al models are not always designed to predict different outputs based on a continuous input range,and instead make predictions for one or a few discrete inputs.This work addresses these gaps using a conditional generative adversarial network(CGAN)model approach,which is inspired by current state-of-the-art Al for synthetic image generation.We create a new Boundary Condition CGAN(BC-CGAN)model by extending the original CGAN model to generate 2D airflow distribution images based on a continuous input parameter,such as a boundary condition.Additionally,we design a novel feature-driven algorithm to strategically generate training data,with the goal of minimizing the amount of computationally expensive data while ensuring training quality of the Al model.The BC-CGAN model is evaluated for two benchmark airflow cases:an isothermal lid-driven cavity flow and a non-isothermal mixed convection flow with a heated box.We also investigate the performance of the BC-CGAN models when training is stopped based on different levels of validation error criteria.The results show that the trained BC-CGAN model can predict the 2D distribution of velocity and temperature with less than 5%relative error and up to about 75,ooo times faster when compared to reference CFD simulations.The proposed feature-driven algorithm shows potential for reducing the amount of data and epochs required to train the Al models while maintaining prediction accuracy,particularly when the flow changes non-linearlywith respectto an input. | Cary A.Faulkner Dominik S.Jankowski John E.Castellini Jr Wangda Zuo Philipp Epple Michael D.Sohn Ali Taleb Zadeh Kasgari Walid Saad | 2023 | Building Simulation2023，16，7： | 0 |
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