001482276 000__ 10188cam\\2200637Mi\4500 001482276 001__ 1482276 001482276 003__ OCoLC 001482276 005__ 20231128003329.0 001482276 006__ m\\\\\o\\d\\\\\\\\ 001482276 007__ cr\cn\nnnunnun 001482276 008__ 231007s2023\\\\si\a\\\\ob\\\\000\0\eng\d 001482276 019__ $$a1402020313$$a1406515917 001482276 020__ $$a9789819963911$$q(electronic bk.) 001482276 020__ $$a9819963915$$q(electronic bk.) 001482276 020__ $$z9819963907 001482276 020__ $$z9789819963904 001482276 0247_ $$a10.1007/978-981-99-6391-1$$2doi 001482276 035__ $$aSP(OCoLC)1402029525 001482276 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dSFB$$dYDX$$dOCLCO$$dOCLCF 001482276 043__ $$aa-cc--- 001482276 049__ $$aISEA 001482276 050_4 $$aTD159.4$$b.S63 2023 001482276 08204 $$a307.760285$$223/eng/20231011 001482276 24500 $$aSmart buildings and technologies for sustainable cities in China /$$cTongyu Zhou, Yi Chen, Wu Deng, Ali Cheshmehzangi, editors. 001482276 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001482276 300__ $$a1 online resource (xviii, 161 pages) :$$billustrations (chiefly color). 001482276 336__ $$atext$$btxt$$2rdacontent 001482276 337__ $$acomputer$$bc$$2rdamedia 001482276 338__ $$aonline resource$$bcr$$2rdacarrier 001482276 4901_ $$aUrban Sustainability 001482276 504__ $$aIncludes bibliographical references. 001482276 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- List of Figures -- List of Tables -- Insights About Smart Buildings and Sustainable Cities: An Editorial to the Book -- 1 A General Overview -- 2 The Role of Smart Buildings -- 3 The Role of Sustainable Cities -- 4 A Look Inside This Book -- 5 Beyond the Book: Future Directions -- 6 Final Thoughts -- Exploring the Smart and Sustainable Nexus in Buildings and Cities -- China's Role in Combating Global Climate Change: Pathways to Reducing Carbon Emissions in Buildings -- 1 Background -- 2 Low Carbon Development in China -- 3 Important Concepts of Building Carbon Emission -- 3.1 The Carbon Footprint of Buildings -- 3.2 Estimation of Energy Consumption in the Operation Phase -- 3.3 Renewable Energy for Buildings -- 3.4 Carbon Emission Factors -- 3.5 Carbon Emission Characterisation -- 3.6 Carbon Trading and Carbon Quotas -- 4 Conclusions -- References -- Exploring the Emergence of Digital Twins in the Construction Industry -- 1 Introduction -- 1.1 Research Background -- 1.2 Research Focus -- 2 Relationship Between Digital Twins and Building Information Modelling -- 2.1 Generation of DT using BIM -- 2.2 Life Cycle Management by Integrating BIM and DT -- 2.3 Improvement in Data Management -- 3 Summary -- 4 Application of Digital Twins in Construction Life Cycle -- 4.1 Scheduling -- 4.2 Construction Simulation -- 4.3 Clash Detection -- 4.4 Safety Management -- 4.5 Cost Estimation -- 4.6 Design and Engineering Phase -- 4.7 Construction Phase -- 4.8 Operation and Maintenance Phase -- 4.9 Demolition and Retirement Phase -- 5 Conclusions -- References -- Data Anonymization and Open Sharing Are Key to a Sustainable Built Environment -- 1 Introduction -- 2 Building Performance Research and Reproducibility -- 3 The Challenges of Reproducibility in Building Performance Research. 001482276 5058_ $$a4 Open Data is Essential for Benchmarking ML-Models -- 5 Privacy is the Bottleneck, Anonymization is the Accelerant -- 6 Precedence of Anonymizing Building Performance Datasets -- 6.1 Noise Infusion -- 6.2 Data Projection -- 7 The Path Forward for Promoting Open Data of Building Performance -- References -- Modeling of Building System Operational Faults for Improved Energy Efficiency -- 1 Operational Faults Widely Exist in Buildings -- 1.1 Operational Faults are Common in Existing Buildings -- 1.2 Potential Operational Faults of Building HVAC Systems -- 2 Modeling and Analysis of Operational Faults in Building Performance -- 2.1 Building Operational Faults Occur at Different System Levels -- 2.2 Diverse Impacts Presented by Operational Faults -- 2.3 Different Operational Characteristics of a Fault -- 2.4 Fault Modeling and the Characteristics of Existing Component Models -- 2.5 Fault Modeling and HVAC System Operational Modes -- 3 The Importance of Fault Detection and Diagnosis -- 3.1 HVAC System Operational Fault Diagnosis -- 3.2 Application of Operational Fault Diagnosis in HVAC Systems at the Component or Subsystem Level -- 4 Impacts of Operational Faults on Building Energy and Sustainability Goals -- 4.1 Impacts of Economizer Sensor Offset -- 4.2 Impacts of Thermostat/Humidistat Offset -- 4.3 Impacts of Heating Coil Fouling -- 4.4 Impacts of Dirty Air Filters -- 5 Conclusions -- References -- Innovative Technologies for Enhancing Sustainability in Buildings and Cities -- Urban Heat Adaptation and a Smart Decision Support Framework -- 1 Introduction -- 2 Urban Heat Adaptation System -- 2.1 Definition and Goals -- 2.2 Adaptation Methods and Measures -- 2.3 Measurements and Indicators -- 3 Decision Support Tool for Smart Urban Heat Adaptation -- 3.1 Definition and Benefits -- 3.2 Examples of Decision Support Tools for Heat Challenges. 001482276 5058_ $$a4 Framework of a Smart Decision Support Tool for Heat Adaptation -- 4.1 Local Heat Adaptation -- 4.2 Structure of Smart Decision Support Tools -- 4.3 Demonstration of Smart Adaptation -- 5 Conclusions -- References -- Smart Heating in Centralized Urban Heating Systems -- 1 Urban Centralized Heating System and Its Challenges -- 2 UCHS Operation Control Development and Cyber-Physical Systems -- 3 CPS and Smart Heating -- 3.1 Heat Delay Time Quantification -- 3.2 Heating Substation Primary Loop Valve Control -- 3.3 Large-Scale UCHS Operation Control -- 4 Smart: From Heating to Integrated Energy Systems -- 5 Challenges and Outlook -- References -- The Application of n-D BIM in Chinese Construction Projects -- 1 BIM and n-D BIM -- 1.1 Current Status of n-D BIM in Other Countries -- 1.2 Current Status of n-D BIM in China -- 2 Cognition and Application of n-D BIM in China -- 2.1 Distribution of Firms and Professions of Respondents -- 2.2 Respondents' Knowledge of BIM -- 2.3 Years of Working and Applying BIM -- 2.4 Analysis of Current n-D BIM Usage -- 2.5 Difference Analysis -- 2.6 Multiple Response Analysis -- 3 SWOT of n-D BIM in China -- 3.1 Strengths -- 3.2 Weaknesses -- 3.3 Opportunities -- 3.4 Threats -- 4 Development and Prospects of n-D BIM in China -- 4.1 Suggestions Based on the Findings of This Study -- 4.2 Strategies Based on SWOT Analysis -- 5 Summary -- References -- A Review of the Shading Adjustment Occupant Behavior Model and Evaluation Method in Office Buildings -- 1 Introduction -- 2 Occupant Behavior -- 2.1 Occupant Behavior in Building -- 3 Occupant Behavior Model of Shading Behavior in an Office Building -- 3.1 Features of Office Buildings -- 3.2 Fixed Model in Shading Behavior -- 3.3 Stochastic Model in Shading Behavior -- 3.4 Hybrid Model for Shading Behavior -- 4 Evaluation Method of Energy Saving in Shading Behavior -- 5 Discussion. 001482276 5058_ $$a6 Conclusions -- References -- Case Studies in Sustainability -- Real-Time Chiller Optimization in an Industrial Plant with Data-Driven Load Forecast Approach: A Case Study -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 Development of Hourly Cooling Load Forecast Model -- 2.3 Real-Time Control System -- 3 Result Analysis -- 4 Discussion -- 5 Conclusions -- References -- Sustainability: Design Strategies and Applications in a Shanghai Commercial Complex -- 1 Introduction -- 2 Sustainability Design Strategy-Site Design -- 2.1 Outdoor Environment -- 2.2 Sponge City -- 2.3 Lighting Pollution -- 2.4 Urban Heat Island -- 3 Sustainability Design Strategy-Resource Saving -- 3.1 Water -- 3.2 Energy -- 3.3 Life Cycle Analysis of Carbon Dioxide Emissions -- 4 Sustainability Design Strategy-Indoor Environment Quality -- 4.1 Daylighting -- 4.2 Thermal Comfort -- 4.3 Indoor Air Quality -- 5 Conclusions -- References -- An Integrated and Intelligent Information Model-Based Smart University Campus and Its Digitalization Process -- 1 Introduction -- 2 Research Aim, Objectives, and Research Design -- 3 Impact of Digital Technologies -- 4 Smart University Campus Development -- 4.1 System Architecture of the Smart Campus -- 4.2 Data Collection and Geospatial Engineering-Based Simulation -- 4.3 Data Processing to Visual Information: Flooding Simulation -- 4.4 Data Integration and Visualisation of the Smart Campus -- 5 Findings -- 6 Limitations and Future Research -- References. 001482276 506__ $$aAccess limited to authorized users. 001482276 520__ $$aThis book brings together the insights from professional associations who involved in developing relevant national standards in China, domestic and international scholars who are dedicated to research in related fields, and industry practitioners who have the most hands-on experience. Synthesizing their perspectives, this book discusses the advanced technologies that can meet the requirements for energy efficiency, building performance monitoring and management, and user-centric building services, which are considered the essential components for achieving sustainable and smart cities. Moreover, it provides reflections on the implementation of smart technologies and strategies in practice. 001482276 588__ $$aDescription based on online resource; title from digital title page (viewed on November 03, 2023). 001482276 650_6 $$aVilles intelligentes$$zChine. 001482276 650_0 $$aSmart cities$$zChina.$$0(DLC)sh2018000509 001482276 650_0 $$aSustainable buildings$$zChina$$xDesign and construction.$$0(DLC)sh 00004838 001482276 655_0 $$aElectronic books. 001482276 7001_ $$aZhou, Tongyu,$$d1971- 001482276 7001_ $$aChen, Yi.$$d1908-1995$$0(OCoLC)oca00083012 001482276 7001_ $$aDeng, Wu. 001482276 7001_ $$aCheshmehzangi, Ali. 001482276 77608 $$iPrint version:$$aZhou, Tongyu$$tSmart Buildings and Technologies for Sustainable Cities in China$$dSingapore : Springer,c2023$$z9789819963904 001482276 830_0 $$aUrban sustainability (Springer (Firm)) 001482276 852__ $$bebk 001482276 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-6391-1$$zOnline Access$$91397441.1 001482276 909CO $$ooai:library.usi.edu:1482276$$pGLOBAL_SET 001482276 980__ $$aBIB 001482276 980__ $$aEBOOK 001482276 982__ $$aEbook 001482276 983__ $$aOnline 001482276 994__ $$a92$$bISE