题 目：Performance Measurement and Verification of Energy Efficiency Projects
主讲人：Professor Xiaohua Xia University of Pretoria
时 间：2011年7月11日 上午 9:00
地 点：北京理工大学主楼六层会议室
主讲人简介：
Prof Xia is a professor in the Electrical, Electronic and Computer Engineering Department, University of Pretoria, director of the Centre of New Energy Systems, and the director of the National Hub for the Postgraduate Programme in Energy Efficiency and Demand-side Management. He obtained his PhD degree at the Beijing University of Aeronautics and Astronautics in 1989. He was academically affiliated with the University of Stuttgart, Germany, the Ecole Centrale de Nantes, France, and the National University of Singapore before joining the University of Pretoria in 1998. Prof Xia is a fellow of the Institute for Electronic and Electrical Engineers (IEEE), a fellow of the South African Academy of Engineering (SAAE), and he has an A rating from the National Research Foundation (NRF).He also serves as the chair of the Technical Committee of Non-linear Systems of the International Federation of Automatic Control (IFAC).
内容简介：
Claimed savings of energy efficiency projects often need to be measured and verified. The measurement and verification (M&V) activities are guided by the International Performance Measurement and Verification Protocol in many countries. However, the M&V is largely believed to be an inaccurate science: an engineering practice with heavy professional judgment. We present a mathematical description of the M&V problem and thus casts into a scientific framework of the basic M&V concepts, propositions, techniques and methodologies. We start with a general description and modeling of energy systems, then introduce the idea of developing an M&V plan as an M&V modeling problem. M&V models are shown via examples to be established by analyzing physical laws, measured data, or stochastic processes. As an application of this framework, we provide a model based approach to choose the four M&V options. Finally, we introduce a notion of optimal M&V design. It shows that an optimal M&V plan is a design process guided by fundamental principles of calculus of variations and optimal control systems.
