Research On The Framework And Technical Implementation For The Internet Of Building Energy Systems

The rapid development of China's urbanization and construction industry has caused huge amount of energy consumption. The construction industry has become one of the top three industrial energy consumers, together with general industry and transportation industry. Additionally, the construction industry has become one of the main carbon dioxide emission sources. The building energy saving is a brand new but promising industry which still has a long way to go, The Internet of Things (IoT) can realize the information connection, processing and application for"Things to Things"and"Humen to Things". The IoT helps improving energy saving efficiency, building intelligence control and the overall building function in the process of building energy saving. Therefore,with the standards of technology requirements of the IoT conceptions, framework and data processing method, the technology of existing building energy consumption monitoring system can be optimized. At the same time, the conceptions, framework, critical software/hardware and the applications of the Internet of Building Energy Systems (iBES) can be put forward. iBES will promote the application and the development of the IoT in building energy saving, improve the building energy efficiency and building intelligence control. Furthermore, iBES will boost both the IoT industry and building energy saving industry.Firstly, this dissertation systemically analyzes the urgent demand on China's building energy saving, introduces the basic conceptions of the IoT, and brings forward the conceptions and framework of the iBES. This dissertation does an overview on the research and development of building automation network,building energy consumption monitoring platform and the IoT. Also, this dissertation points out the problems of existing building energy consumption monitoring platform, and explicit the content and the research approach of this dissertation. The theoretical basis of sensor optimal configuration in iBES perceived control layer is the primary problem that iBES solves. This dissertation introduces the building energy consumption structure, the source and the use of building energy consumption data information, especially the use of building energy-saving renovation and optimal operation of energy-saving control in the future. This dissertation founds the evaluation indexes system of individual building energy consumption and defines the evaluation indexes tree of building energy systems with rating theory facing government administrative departments of all levels. The research of iBES performance evaluation model can provide the theoretical basis for the optimal configuration of sensors in iBES perceived control layer. Sencondly, because of the variety of sensors, the accuracy of perceived control layer data information is affected dramatically. Therefore, the evaluation of both energy consumption and energy efficiency model, and the result of both building energy-saving renovation and optimal operation of energy-saving control are also affected. According to the error analysis principle, this dissertation brings forward the overall building energy consumption model accuracy guarantee method. The key task of this method is to guarantee the evaluation indexes accuracy of overall building energy consumption, building heat consumption and building HVAC energy consumption. The error control methods are analyzed. This dissertation provides theoretical basis for the optimal choice and accuracy demands of sensors in iBES perceived control layer. The coverage of iBES has already been larger than a single building, a single administrative unit, or even a city. To establish the identifying system of perceived control layer and its perceptive objects is the primary and critical problem of the framework of iBES. This dissertation builds up the perceived object identifying system of iBES and proposes the framework of the perceived control layer. Furthermore, this dissertation developes the intelligent gateway which is easy to achieve the data conversion, transmission and processing under different data bus.Finally, iBES is applicable not only to various data of building energy consumption and building energy efficiency, but also to the whole life span of building. Therefore, the gathering, storage and processing of massive data is the core issue of iBES. This dissertation develops the essential iBES network databases by employing database management system and other related software which is suitable to iBES. There is lack of implemental regulations which is systematical, no matter in the existing building energy consumption monitoring platform or in the application of iBES. Based on the considerable amount of practice of building energy consumption monitoring systems, this dissertation conducts the research on the designing method of data center in the building energy consumption monitoring platform, and on the investigation, design, construction and debug method for the perceived control layer. After analyzing the principles of sensor distribution design and reliability guarantee approaches, this dissertation follows by case studies of iBES application in single building and buildings. Then, this dissertation summarizes its achievement, and pointes out its limitation and futher research direction of iBES.