奈米工程與微系統研究所　書報討論

Seminar of Inst. NanoEngineering and MicroSystems

 Prof.Yi-Kuen Lee

Department of Mechanical and Aerospace Engineering

Division of Biomedical Engineering

Institute of Integrated Microsystem

Hong Kong University of Science and Technology

Clear Water Bay, Kowloon, Hong Kong SAR

Smart Energy-Efficient Buildings using Low-cost CMOS MEMS Sensors, Smart Windows and Artificial Intelligence

Abstract

The world’s population has reached more than 7.3 billion in 2015 and will increase to about 11.2 billion in 2100. The problems of energy and global environmental change are intense. It is extremely critical to develop new energy-efficient building technology with the low-carbon footprint for sustainable evelopment which can save 2 Gt CO 2 by 2050 to avoid extreme global climate change. On the other hand, advances in the semiconductor industry in the past six decades have enabled low-cost high-performance integrated circuits (IC). One of the emerging high impact technologies will be the Internet of Things (IoT). In particular, sensors are one of the five pillars in IoT according to the CES Chief economist. Low-cost CMOS MEMS sensors can be a promising solution for Smart Energy-Efficient Buildings. I will introduce the basic research of CMOS MEMS thermal flow sensors and thermal accelerometers and the potential applications. The theoretical modeling and nonlinear SPICE model of thermal flow sensors enables the system-level integration and optimization of CMOS MEMS sensors with integrated microelectronics. This optimization enabled the integrated thermal flow sensor to achieve the extreme dynamic range of input flow velocity, ranging from 0.5 mm/s (able to solve the problem of current smart HVAC systems) to 73 m/s (=262.8 km/h, able to measure super typhoon of which the air speed is larger than 185 km/h). In addition, I will present the ongoing HKUST-MIT research project to develop Smart Energy-Efficient buildings (EeB) using low-cost CMOS MEMS thermal flow/energy sensors, smart windows (actuators), and information theory-based Artificial Intelligence.

15:30-17:20 on Mar. 19(Mon), 2018 at Room 108 of Eng. Building I

Host：Prof. J.Andrew Yeh jayeh@mx.nthu.edu.tw Ext:42912

TA：Eva Huang crazy8826@gmail.com