Data-Driven Research on Characteristics of Operating Performance of Green Office Buildings: (Springer Theses)

Green building is crucial for promoting sustainable urbanization and mitigating environmental challenges. In recent decades, green buildings in China have witnessed a tremendous development. However, people still lack a sufficient understanding of their actual operating performance, resulting in deficient guidance for further green building design and operation. This thesis contributes to reveal the actual operating performance of green office buildings in China and provides various models for building energy and indoor environmental quality (IEQ) analysis, diagnosis and improvement. In this thesis, the author carries out pioneering researches on data collection, characteristics cognition, performance diagnosis and optimization of green office buildings: (i) An intelligent IEQ monitoring and feedback system is developed for continuous data collection with a high spatial-temporal resolution. Based on that, 63 office buildings from different climate zones in China have been measured and a database with more than 100 million records is established, including building energy consumption, indoor air temperature, relative humidity, CO2, PM2.5, illumination and occupant satisfaction. (ii) Seasonal and regional distribution characteristics of IEQ in green office buildings are revealed, as well as its quantitative correlation with energy consumption and occupant satisfaction, respectively. Both positive and negative effects of energy saving on thermal comfort are found and the negative effect is more significant in buildings with natural ventilation. (iii) A variety of data-driven models with different requirements for data quality were proposed to diagnose and improve IEQ and building energy use, including IEQ diagnosis tool via Kano model, IEQ daily pattern clustering method, building energy diagnosis model based on regression, and HVAC system smart control method based on the building load prediction model. In summary, this thesis has important theoretical significance and practical value for promoting the healthy development of green buildings.

Table of Contents:
​Introduction.- Data collection methodology and database.- Macroscopic analysis of operating performances of green office buildings.- Macroscopic correlation between IEQ and energy consumption.- Typical building performance analysis based on statistical regression.- Typical building performance diagnosis based on data mining approach.- Conclusion.

About the Author :
Dr. Yang Geng is now an assistant researcher at the School of Architecture, Tsinghua University. He received his bachelor's and doctoral degrees from Tsinghua University in 2015 and 2020, respectively. His research focuses on intelligent sensing and control of building energy and indoor environment. He has published more than 30 SCI papers, with over 1500 citations in Web of Science Core Collection, and 4 of his papers have been selected as ESI highly cited papers. He has obtained 5 authorized invention patents and participated in the compilation of 2 standards. He is the Young Editorial Board Member of Building Simulation and Architectural Intelligence, and a scientific editor of Building Energy Efficiency. He has received the First Prize of the Huaxia Construction Science and Technology Award, the First Prize of the China Real Estate Association Science and Technology Award, the First Prize of Beijing Science and Technology Award, the Outstanding Doctoral Dissertation of Tsinghua University, and the Excellent Mentor of Tsinghua University's Carbon Neutrality Practice Project.