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Building Simulation 2024年第4期17卷 525-542页

作者： Fusuo Xu Dongdong Tian Zhi Gao jianshun Jensen zhang Department of Mechanical and Aerospace Engineering Syracuse UniversitySyracuseNY13210USA School of Architecture and Urban Planning Nanjing University22 Hankou RoadNanjingJiangsu Province210093China

Building surface cool materials are novel materials that can reduce urban heat island intensity and decrease building energy *** study investigated the impact of radiative properties of materials,façade orientation,and morphological parameters on energy consumption in six typical residential neighborhoods in Nanjing,*** neighborhood energy consumption of 16 application schemes considering the façade orientation factor is compared to determine the best energy-saving *** and annual energy-saving rates,savings in electricity costs,and the price ceiling for materials per unit area are *** results show that for low-rise buildings,using cool materials only on the roof can reduce the annual energy consumption by 1%.When cool or super cool materials are also used on the building façade,the annual energy saving rate can be up to 3.4%and 4.3%,*** cool materials on the south façade of buildings is not recommended due to significant heat loss in *** savings in electricity costs and the price ceiling for materials per unit area,the price of cool and super cool materials should be less than 3.0 and 3.7 RMB/m2,respectively,assuming a lifespan of eight years in Nanjing.

关键词： cool materials building energy saving neighborhood morphology façade orientation

Mechanistic modeling of copper corrosions in data center environments

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Building Simulation 2024年第3期17卷 483-492页

作者： Rui zhang jianshun zhang Roger Schmidt Jeremy L.Gilbert Department of Mechanical and Aerospace Engineering College of Engineering and Computer ScienceSyracuse UniversitySyracuseNY13244USA Buildings and Transportation Science Division Oak Ridge National LaboratoryOak RidgeTN37830USA SyracuseCoE-New York Center of Excellence in Environmental and Energy Systems Syracuse University727 E.Washington StreetSyracuseNY13244USA Department of Bioengineering Clemson UniversityClemson-Medical University of South Carolina Bioengineering ProgramCharlestonSC29425USA

Air-side economizers are increasingly used to take advantage of“free-cooling”in data centers with the intent of reducing the carbon footprint of ***,they can introduce outdoor pollutants to indoor environment of data centers and cause corrosion damage to the information technology *** evaluate the reliability of information technology equipment under various thermal and air-pollution conditions,a mechanistic model based on multi-ion transport and chemical reactions was *** model was used to predict Cu corrosion caused by Cl_(2)-containing pollutant *** also accounted for the effects of temperature(25℃and 28℃),relative humidity(50%,75%,and 95%),and *** also identified higher air temperature as a corrosion barrier and higher relative humidity as a corrosion accelerator,which agreed well with the experimental *** average root mean square error of the prediction was 13.7Å.The model can be used to evaluate the thermal guideline for data centers design and operation when Cl_(2)is present based on pre-established acceptable risk of corrosion in data centers’environment.

关键词： chloride pollutant mixture copper corrosion model data center temperature relative humidity synergistic effect

Nationwide evaluation of energy and indoor air quality predictive control and impact on infection risk for cooling season

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Building Simulation 2023年第2期16卷 205-223页

作者： Xuezheng Wang Bing Dong jianshun(Jensen)zhang Department of Mechanical and Aerospace Engineering Syracuse UniversitySyracuseNY 13244USA

Since the coronavirus disease 2019,the extended time indoors makes people more concerned about indoor air quality,while the increased ventilation in seeks of reducing infection probability has increased the energy usage from heating,ventilation,and air-conditioning *** this study,to represent the dynamics of indoor temperature and air quality,a coupled grey-box model is *** model is identified and validated using a data-driven approach and real-time measured data of a campus *** manage building energy usage and indoor air quality,a model predictive control strategy is proposed and *** simulation study demonstrated 18.92%energy saving while maintaining good indoor air quality at the testing *** nationwide simulation studies assessed the overall energy saving potential and the impact on the infection probability of the proposed strategy in different climate *** results showed 20%–40%energy saving in general while maintaining a predetermined indoor air quality *** the infection risk is increased due to the reduced ventilation rate,it is still less than the suggested threshold(2%)in general.

关键词： model predictive control indoor air quality infection risk energy-saving large-scale simulation

A probabilistic-based method to evaluate hygrothermal performance of an internally insulated brick wall

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Building Simulation 2021年第2期14卷 283-299页

作者： Jianhua Zhao jianshun zhang John Grunewald Shuo Feng Institute of Architectural Technology&Science School of ArchitectureTianjin UniversityTianjinChina College of Mechanical&Aerospace Engineering Syracuse UniversitySyracuseUSA Institute of Building Climatology School of ArchitectureTechnische Universität DresdenDresdenGermany Qinhuangdao Municipal Bureau of Foreign Affairs and Commerce QinhuangdaoChina

Uncertainty exists in many aspects of building simulation.A deterministic hygrothermal analysis may not sufficiently give a reliable guidance if a number of input variables are subject to *** this paper,a probabilistic-based method was developed to evaluate the hygrothermal performance of building *** approach accounts for the uncertainties from model inputs and propagates them to the outputs through the simulation model,thus it provides a likelihood of performance *** hypercube sampling technique,incorporated with correlation structure among the inputs,was applied to generate the random samples that follows the intrinsic *** performance of an internally insulated masonry wall was evaluated by applying the proposed approach against different *** performance,condensation and mould growth potential of the renovated wall can overall satisfy the requirements stipulated in multifold *** most influential inputs were identified by the standardized regression sensitivity analysis and partial correlation *** methods deliver the same key parameters for the single and time-dependent output variables in the case *** probabilistic method can provide a comprehensive risk analysis and support the decision-maker and engineer in the design and optimization of building components.

关键词： probabilistic approach hygrothermal performance building component uncertainty analysis sensitivity analysis

Green Design Studio: A modular-based approach for high-performance building design

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Building Simulation 2021年第2期14卷 241-268页

作者： Jialei Shen Bess Krietemeyer Amber Bartosh Zhi Gao jianshun zhang Department of Mechanical and Aerospace Engineering Syracuse University263 Link HallSyracuseNY13244USA School of Architecture Syracuse UniversitySlocum HallSyracuseNY13244USA School of Architecture and Urban Planning Nanjing University22 Hankou RoadNanjingJiangsu Province210093China

A modular-based Green Design Studio(GDS)platform has been developed in this study for fast and accurate performance analysis for early stage green building *** GDS platform aims to simplify the design and analysis process by embedding performance parameters into design elements in modules and employing near-real-time model for whole building performance simulation as well as by providing an easy-to-use and intuitive user interface to assist users without extensive knowledge on building *** platform consists of building modules as fundamental building blocks,performance predicting models,and a user interface for visualization and interactive *** the platform,a whole building is composed of modules organized in a hierarchical structure,including spaces,enclosures,service systems,sustainable resource systems and *** physics-based and data-driven models can be used to simulate the building performance and optimize building systems.A simplified physics-based model,the Resistance–Capacitance(RC)model,has been proposed as a generic simulation model for the flows of heat,air,moisture and pollutants,which is significantly faster than conventional simulation tools such as EnergyPlus,and hence more practical for use in real-time design interaction and optimization.A pilot case study is conducted to illustrate the modular-based design approach using a section of an office *** to conventional building performance analysis tools,the GDS platform can provide fast and reliable feedback on performance prediction for early *** modular approach makes it easier to modify the building design and evaluate the potentials and contributions of various green design features and technologies.

关键词： modular-based building design building performance green building high-performance building building simulation energy efficiency

Combined Heat, Air, Moisture and Pollutant Simulations (CHAMPS) research for building and urban energy efficiency and environmental quality analysis

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Building Simulation 2021年第2期14卷 237-239页

作者： Zhi Gao Weihui Liang Shanshan Shi jianshun zhang School of Architecture and Urban Planning Nanjing University22 Hankou RoadNanjingJiangsu Province210093China Department of Mechanical and Aerospace Engineering Syracuse University263 Link HallSyracuseNY13244USA

The energy and environmental performance of buildings and communities depends on how the heat,air,moisture and pollutant flows are managed and controlled in the *** Heat,Air,Moisture and Pollutant Simulations(CHAMPS)research and development is vital to the optimal design and operation of building and urban energy and environmental systems.

关键词： Simulation moisture (CH

Development of a procedure for estimating the parameters of mechanistic VOC emission source models from chamber testing data

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Building Simulation 2021年第2期14卷 269-282页

作者： Zhenlei Liu Andreas Nicolai Marc Abadie Menghao Qin John Grunewald jianshun zhang Department of Mechanical and Aerospace Engineering Syracuse UniversitySyracuseUSA Dresden University of Technology DresdenGermany University of La Rochelle La RochelleFrance Technical University of Denmark Kongens LyngbyDenmark School of Architecture and Urban Planning Nanjing UniversityNanjingChina

In order to evaluate the impacts of volatile organic compounds(VOCs)emissions from building materials on the indoor air quality beyond the standard chamber test conditions and test period,mechanistic emission source models have been developed in the ***,very limited data are available for the required model parameters including the initial concentration(C_(m0)),in-material diffusion coefficient(D_(m)),partition coefficient(Kma),and convective mass transfer coefficient(k_(m)).In this study,a procedure was developed for estimating the model parameters by using VOC emission data from standard small chamber *** the procedure,initial values of the model parameters were refined by multivariate regression analysis of the measured emission *** verify the procedure and estimate its uncertainty,simulated chamber test data were generated by adding 10% experimental uncertainties on the theoretical curve from the analytical solution to a mechanistic emission *** the procedure was applied to the generated data to estimate the model *** indicated that estimates converged to the original parameter values used for the data generation and the error of estimated parameters D_(m1)C_(m0) and K_(ma) were within±10%,±23%,and±25%of the true values,*** procedure was further demonstrated by applying it to estimate the model parameters from real chamber test *** application of the procedure would result in a database of mechanistic source model parameters for assessing the impact of VOC emissions on indoor pollution load,which are essential input data for evaluating the effectiveness of various indoor air quality(IAQ)design and control strategies as well as the energy required for meeting given IAQ requirements.

关键词： building materials volatile organic compounds(VOCs) emission source model indoor air quality building energy efficiency

大型拖拉机驾驶室PM10和PM2.5净化效果仿真分析

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农业机械学报 2018年第11期49卷 365-371页

作者：杨晓毛恩荣 zhang jianshun 宋正河金晓萍杜岳峰中国农业大学工学院北京100083 现代农业装备优化设计北京市重点实验室北京100083 雪城大学机械与计算机工程学院雪城NY13244

针对大型拖拉机在耕地时封闭驾驶室内可吸入颗粒物PM_(10)质量浓度(25 770μg/m3)超标的问题,选取不同的空气净化方式(内循环、外循环空调净化器和外置净化器),对PM浓度微分方程进行了数值仿真分析,仿真结果表明安装空气净化装置能明显... 详细信息

针对大型拖拉机在耕地时封闭驾驶室内可吸入颗粒物PM_(10)质量浓度(25 770μg/m3)超标的问题,选取不同的空气净化方式(内循环、外循环空调净化器和外置净化器),对PM浓度微分方程进行了数值仿真分析,仿真结果表明安装空气净化装置能明显降低驾驶室内可吸入颗粒物的浓度。首先应用质量守恒定律推导了PM浓度变化模型和空调净化模型,随后采用美国IAQx1. 1-PM软件进行了不同净化方式和不同净化率的仿真分析。仿真结果表明,内循环和外循环方式的综合相对净化率分别为92. 78%和96. 13%,明显降低了驾驶室内PM_(10)和PM_(2.5)浓度,满足国际人体健康标准的要求;而且外循环净化方式的PM_(10)和PM_(2.5)质量浓度能维持在800μg/m3以下,净化效果最优。外置净化器平均净化率为48%~66%,虽然净化效果比较明显,但不能满足国际人体健康标准的要求。各净化方式的PM_(10)和PM_(2.5)浓度变化曲线表明封闭驾驶室内的PM_(10)和PM_(2.5)浓度最后可以达到一个稳定值,并且内循环和外循环的曲线(约为1 h)先于外置净化器曲线达到稳定值。1 h时采用外循环、内循环、外置净化器和无净化器时的人体累计PM_(10)吸入量分别为382、832、1 820、2 040μg;人体累计PM_(2.5)吸入量分别为321、585、1 290、1 440μg。人体累计PM_(10)和PM_(2.5)吸入量曲线均呈直线式增长,并且未安装空气净化装置的人体PM累计吸入量曲线的增长率明显快于配有空气净化装置的驾驶室(内外循环下的增长率最低)。驾驶室空调系统应采用将温度调节装置和空气净化器一体化的HVAC空调设计法。

关键词：大型拖拉机封闭驾驶室可吸入颗粒物净化器累计吸入量仿真

“绿色建筑设计工作室”——基于多学科协作的绿色建筑集成设计平台

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建筑科学 2014年第8期30卷 22-29页

作者：陈圆秦孟昊 zhang jianshun PELKEN Michael 南京大学建筑与城市规划学院南京210093 美国雪城大学工学院美国雪城大学建筑学院

随着我国对建筑的节能减排日益重视,已在建筑节能领域取得了长足进步,但,运用现有的模拟技术和软件尚不能有效的辅助实现基于建筑性能的整体建筑设计。"绿建设计工作室VDS-GB"(Virtual Design Studio for Green Building)正是1个为促进... 详细信息

随着我国对建筑的节能减排日益重视,已在建筑节能领域取得了长足进步,但,运用现有的模拟技术和软件尚不能有效的辅助实现基于建筑性能的整体建筑设计。"绿建设计工作室VDS-GB"(Virtual Design Studio for Green Building)正是1个为促进多学科集成设计而研发的软件平台,该平台可以在建筑设计全过程中协助建筑师、工程师和项目管理团队之间的合作,辅助建筑能耗及建筑环境的优化设计。该软件目前正在研发中,其开发需要满足和实现绿色建筑设计过程中各个学科的要求。本文主要阐述了:VDS-GB软件平台的研发目标和设计要求;与绿色建筑设计的设计流程、性能优化策略相关联的方法;并用1个简化的设计案例说明VDS-GB的用户工作流程。

关键词：整体建筑设计绿色建筑设计计算机模拟建模软件平台

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大型拖拉机驾驶室热舒适性评价

农业机械学报 2018年第S1期49卷 470-476页

作者：杨晓毛恩荣 zhang jianshun 宋正河金晓萍杜岳峰中国农业大学工学院北京100083 现代农业装备优化设计北京市重点实验室北京100083 雪城大学机械与计算机工程学院雪城ny13244

针对国内大型拖拉机驾驶室热舒适性差的问题,在对热舒适性影响因素分析的基础上,选取进风风速、风温和出风角为研究因素,采用ANSYS 18. 1-Fluent软件进行正交仿真,并基于仿真结果进行了人体热舒适性评价。仿真结果表明,整个驾驶室降温... 详细信息

针对国内大型拖拉机驾驶室热舒适性差的问题,在对热舒适性影响因素分析的基础上,选取进风风速、风温和出风角为研究因素,采用ANSYS 18. 1-Fluent软件进行正交仿真,并基于仿真结果进行了人体热舒适性评价。仿真结果表明,整个驾驶室降温过程平稳有效,驾驶室内温度可调节范围为18~22℃,驾驶员周围风速为0. 2 m/s,耗时21 min后驾驶室温度达到人体最适温度且人体各热舒适性指标均处于人体热舒适性区间内。正交仿真结果表明,空调风速和风温对降温效果影响显著,出风角对降温效果影响不显著。人体局部温度的仿真结果表明,在第41秒时人体脸部温度开始下降,头部首先进入舒适区,10 min时人体各部分进入舒适区并在第21分钟人体各主要部分达到最舒适点,满足人体对降温速度的要求。若持续降温,在50 min后驾驶室平均温度进入人体不舒适过冷区。人体热舒适性评价曲线表明,平均投票数评价曲线成直线下降趋势,说明所设计驾驶室的温度场能以较快速度达到人体舒适区;不满意百分数评价曲线呈现先下降后升高的趋势,表明整个降温过程人体首先从过热区进入舒适区,若继续降温则又会进入寒冷区,再次对人体产生不舒适。综上,仿真结果符合驾驶室内的实际降温情况和人体生理反应过程,为温度智能控制系统和驾驶室空气净化系统的设计提供了一定参考依据。

关键词：驾驶室最小能量原理热舒适性平均投票数不满意百分数