Role of outdoor trees on pedestrian wind and thermal conditions around a pre-education building for sustainable energy management

Finding sustainable energy resources is essential to face the increasing energy demand.Trees are an important part of ancient architecture but are becoming rare in urban areas.Trees can control and tune the pedestrian-level wind velocity and thermal condition.In this study,a numerical investigation is employed to assess the role of trees planted in the windward direction of the building complex on the thermal and pedestrian wind velocity conditions around/inside a pre-education building located in the center of the complex.Compared to the previous studies(which considered only outside buildings),this work considers the effects of trees on microclimate change both inside/outside buildings.Effects of different parameters including the leaf area density and number of trees,number of rows,far-field velocity magnitude,and thermal condition around the main building are assessed.The results show that the flow velocity in the spacing between the first-row buildings is reduced by 30%-40% when the one-row trees with 2 m height are planted 15 m farther than the buildings.Furthermore,two rows of trees are more effective in higher velocities and reduce the maximum velocity by about 50%.The investigation shows that trees also could reduce the temperature by about 1℃around the building.

Research on Quality Management Measures of Green Building Construction

Urbanization has led to the rapid development of the construction industry.However,this has also led to higher requirements for the construction engineering management.Other than the quality monitoring of engineering construction,the energy-saving properties of the building should also be considered.Therefore,a scientific management approach should be adopted to improve green building management.This paper primarily examines the importance of quality management in green building construction,along with the factors influencing it.It also identifies the quality issues present in current green building construction.Finally,it proposes measures for quality management in the green building construction process to facilitate the industry’s healthy development.

Whole-Process Project Cost Management Based on Building Information Modeling (BIM)

The whole-process project cost management based on building information modeling(BIM)is a new management method,aiming to realize the comprehensive optimization and improvement of project cost management through the application of BIM technology.This paper summarizes and analyzes the whole-process project cost management based on BIM,aiming to explore its application and development prospects in the construction industry.Firstly,this paper introduces the role and advantages of BIM technology in engineering cost management,including information integration,data sharing,and collaborative work.Secondly,the paper analyzes the key technologies and methods of the whole-process project cost management based on BIM,including model construction,data management,and cost control.In addition,the paper also discusses the challenges and limitations of the whole-process BIM project cost management,such as the inconsistency of technical standards,personnel training,and consciousness change.Finally,the paper summarizes the advantages and development prospects of the whole-process project cost management based on BIM and puts forward the direction and suggestions for future research.Through the research of this paper,it can provide a reference for construction cost management and promote innovation and development in the construction industry.

Low Carbon Building Design Optimization Based on Intelligent Energy Management System

The construction of relevant standards for building carbon emission assessment in China has just started,and the quantitative analysis method and evaluation system are still imperfect,which hinders the development of low-carbon building design.Therefore,the use of intelligent energy management system is very necessary.The purpose of this paper is to explore the design optimization of low-carbon buildings based on intelligent energy management systems.Based on the proposed quantitative method of building carbon emission,this paper establishes the quota theoretical system of building carbon emission analysis,and develops the quota based carbon emission calculation software.Smart energy management system is a low-carbon energy-saving system based on the reference of large-scale building energy-saving system and combined with energy consumption.It provides a fast and effective calculation tool for the quantitative evaluation of carbon emission of construction projects,so as to realize the carbon emission control and optimization in the early stage of architectural design and construction.On this basis,the evaluation,analysis and calculation method of building structure based on carbon reduction target is proposed,combined with the carbon emission quota management standard proposed in this paper.Taking small high-rise residential buildings as an example,this paper compares and analyzes different building structural systems from the perspectives of structural performance,economy and carbon emission level.It provides a reference for the design and evaluation of low-carbon building structures.The smart energy management system collects user energy use parameters.It uses time period and time sequence to obtain a large amount of data for analysis and integration,which provides users with intuitive energy consumption data.Compared with the traditional architectural design method,the industrialized construction method can save 589.22 megajoules(MJ)per square meter.Based on 29270 megajoules(MJ)per ton of standard coal,the construction area of the case is about 8000 m2,and the energy saving of residential buildings is 161.04 tons of standard coal.This research is of great significance in reducing the carbon emission intensity of buildings.

Determination of Effectiveness of Energy Management System in Buildings

Building Energy Management Systems(BEMS)are computer-based systems that aid in managing,controlling,and monitoring the building technical services and energy consumption by equipment used in the building.The effectiveness of BEMS is dependent upon numerous factors,among which the operational characteristics of the building and the BEMS control parameters also play an essential role.This research develops a user-driven simulation tool where users can input the building parameters and BEMS controls to determine the effectiveness of their BEMS.The simulation tool gives the user the flexibility to understand the potential energy savings by employing specific BEMS control and help in making intelligent decisions.The simulation is developed using Visual Basic Application(VBA)in Microsoft Excel,based on discrete-event Monte Carlo Simulation(MCS).The simulation works by initially calculating the energy required for space cooling and heating based on current building parameters input by the user in the model.Further,during the second simulation,the user selects all the BEMS controls and improved building envelope to determine the energy required for space cooling and heating during that case.The model compares the energy consumption from the first simulation and the second simulation.Then the simulation model will provide the rating of the effectiveness of BEMS on a continuous scale of 1 to 5(1 being poor effectiveness and 5 being excellent effectiveness of BEMS).This work is intended to facilitate building owner/energy managers to analyze the building energy performance concerning the efficacy of their energy management system.

Discussion on Optimization Measures of Building Construction Management Technology

Building construction needs have expanded in line with people's demands and the quality of life in today’s society.Therefore,the traditional construction management technology can no longer meet the current management and construction requirements,so it is necessary to further optimize the construction management technology.Therefore,this paper focuses on exploring measures regarding building construction technology optimization.Firstly,the paper briefly expounds its optimization value,then systematically analyzes some problems faced by the current housing construction management,and finally puts forward some targeted management optimization measures for future reference.

BMS电路板多模块协同热-力耦合建模及仿真分析

针对现有电动汽车电池管理系统(BMS)电路板研究仅仅考虑单一功能模块的温度场及其散热效果,缺乏考虑BMS多个功能模块在温度场和力场下的相互影响及协同效应的研究的情况,以某商用BMS电路板为研究对象,采用ANSYS构建了表征BMS多模块协同作用下的热-力耦合数值仿真分析模型并验证了其有效性.在此基础上,针对BMS电路板各功能模块温度场及热变形行为开展了数值仿真研究.结果表明:BMS电路板温度分布不均,最大温差达20.5℃.均衡模块存在积热,温度高达54.4℃.高温导致电路板组件发生热膨胀变形,同时电路板约束诱发均衡模块及供电模块边缘的贴片电阻出现热应力集中,两者共同作用致使BMS均衡模块、供电模块产生凸起翘曲变形,且Z轴热变形量随着温度升高而增大,最大变形量达9.5μm,应针对BMS电路板上积热模块开展散热优化设计.

浅析BMS电池管理系统高精度电流检测

在全球环境保护和可持续发展议题日益受到重视的背景下,新能源汽车已逐渐成为未来交通领域的关键发展方向。本文主要探讨了电池管理系统(BMS)的高精度电流检测技术。通过分析BMS电池管理系统的关键特性,强调了高精度电流检测对电池性能和安全的重要性。文章介绍了磁通门技术的优势及其在高精度电流测量中的应用,指出该技术在降低零点误差、提高SOC精度以及系统安全性方面的突出表现。此外,浙江巨磁智能技术有限公司开发的CSM系列电流传感器,基于其自主知识产权的iFluxgate技术,展示了高精度、低温漂、发热量低等优点,在电动汽车及储能设备中具有广泛应用前景。

Fuzzy-AHP-Based Comprehensive Evaluation on Facility Management System of High-Rise Office Buildings

The present building facility management status in China resulted in many problems such as high energy consumption,failure of automation control,services failure and poor indoor air quality.Based on questionnaires and interviews to professional engineers and building users,a comprehensive evaluation index system was established on facility management of high-rise office buildings.A Fuzzy AHP based upon hierarchy criteria system was established.A Fuzzy AHP Evaluation Model on Facility Management System was set up;α-cut analysis was introduced and incorporated with expert knowledge together,which made up the optimism index λ.The fuzzy optimum crisp weight of each criterion was resulted from data-mining.Case investigations were processed in high-rise office buildings in Shenyang.The results illustrated that indoor air quality,thermal comfort and life cycle cost were the most important indexes in the evaluation of Facility Management System of high rise office buildings.Residents in high-rise buildings in Shenyang pay less attention to maintenance management and environment protection.By comparison with the analysis result of Export Choice,Fuzzy AHP-based evaluation model could act as a scientific reference for the establishment of governmental standards in facility management area in building.

Treatment Conditions of Building Wastes in China and Its Integrated Management Measures

The status of utilization and disposal of the building wastes are introduced on the basis of analysis of its compositions, genera- tion and effects on urban environment. The basic framework of the integrated building waste management, including control of the sources, reduction of the integrated process and final disposal, are proposed in view of the problems existing in recovery of the building wastes and the experiences from the developed countries.

Research on the Effectively Building Patterns of Talent Incentive and Cultural Atmosphere for Modern Enterprise Management

In this paper, we conduct research on the effectively building patterns of talent incentive and cultural atmosphere for modern enterprise management. Targeted incentive direction refers to the motivation, namely, to what kind of content to implement incentive. It has signifi cant effect on incentive effect. According to American psychologist Maslow’s hierarchy of needs theory, people’s behavior motives originated in fi ve kinds of need, namely: the physiological needs, security needs, belonging needs, respect for the needs and the self-actualization needs. People need not set in stone, which is a developing process from low to high, but the process is not a cascade of discontinuous jumping, but a continuous, the evolution of wave. Under this general basis, we propose the cultural atmosphere for modern enterprise management that is novel and innovative.

Technical Analysis of Green Construction Management of Large Public Buildings

With the development of the times and the improvement of the economic level,the people’s ideological consciousness has gradually changed,driven by the scientific concept of development and the concept of sustainable development,the people have been able to realize that,traditionally,the extensive economic model has led to more serious damage to the environment,and caused a certain degree of resource waste,but also endangered human health.As a result,the concept of healthy living has received more and more widespread attention.The construction industry as an important pillar of China’s economic development,but also the implementation of the concept of sustainable development in China is one of the key points for the implementation of green construction of large public buildings,it is necessary to strengthen the management of technology,so in this paper,will be the main green construction of large public buildings management technology analysis work.

Building Harmonious Community & Innovating Social Management and Services

Communities are the basic units as well as cell of the society. Community management and service is of fundamental significance for socia harmony, and also an important part of socia management innovation. Recent years

Deep Learning-Based Swot Analysis in Construction and Demolition Waste Management

Researchers worldwide have employed a varied array of sources to cal-culate the successful management of Construction and Demolition(C&DW).Limited research has been undertaken in the domain of Construction and Demoli-tion Waste Management(C&DWM)and consequently leaving a large gap in the availability of effective management techniques.Due to the limited time available for building removal and materials collection,preparing for building materials reuse at the end of life is frequently a challenging task.In this research work Con-volutional Neural Network-Long Short-Term Memory(CNN-LSTM)is proposed to predict the number of waste materials that are obtained from a building at the end of its useful life.As a result,an effective Waste Management(WM)plan has been established through SWOT analysis.The results of the study reveal that,given fundamental building characteristics,it is possible to predict the number of materials that would be collected with high precision from a building after demolition.The proposed deep learning models achieved an average R-squared value of 0.98 and a Mean Absolute Error of 18.1 and 20.14 better than existing methods such as random forest,CNN,and DBN(Data Bus Network).

Generative pre-trained transformers(GPT)-based automated data mining for building energy management:Advantages,limitations and the future

Advanced data mining methods have shown a promising capacity in building energy management.However,in the past decade,such methods are rarely applied in practice,since they highly rely on users to customize solutions according to the characteristics of target building energy systems.Hence,the major barrier is that the practical applications of such methods remain laborious.It is necessary to enable computers to have the human-like ability to solve data mining tasks.Generative pre-trained transformers(GPT)might be capable of addressing this issue,as some GPT models such as GPT-3.5 and GPT-4 have shown powerful abilities on interaction with humans,code generation,and inference with common sense and domain knowledge.This study explores the potential of the most advanced GPT model(GPT-4)in three data mining scenarios of building energy management,i.e.,energy load prediction,fault diagnosis,and anomaly detection.A performance evaluation framework is proposed to verify the capabilities of GPT-4 on generating energy load prediction codes,diagnosing device faults,and detecting abnormal system operation patterns.It is demonstrated that GPT-4 can automatically solve most of the data mining tasks in this domain,which overcomes the barrier of practical applications of data mining methods in this domain.In the exploration of GPT-4,its advantages and limitations are also discussed comprehensively for revealing future research directions in this domain.