Shiyu Jiang received his B.Sc (Hon) in Electronic Engineering (University of Birmingham, 2005) and his M.Sc in Environmental Impact assessment (University of East Anglia, 2007). From 2004 to 2005 he took part in the Embedded System design competition, his ultrasonic distance sensor was lately used for a Micromouse competition and in robot prototype. In October 2006 he did a placement for his dissertation project at the Norfolk Norwich University Hospital to develop a practical plan for waste reduction.
Since 2007 Shiyu has been working on a PhD investigating the behavioural impact of occupants on domestic energy usage at Cardiff University with BRE Trust Sponsorship. He aims to develop an understanding of how occupant's behaviour affects their energy consumption through a field monitoring and questionnaire interview. The results will be used to develop computer-based tools to model different patterns of occupant behaviour on energy consumption. His research interests include sustainability issues, energy efficiency, the attitude and behaviour of occupants, energy usage monitoring, prediction and simulation software development.
The way in which occupants operate buildings has profound implications for the quality of both the natural and built environments. The energy required for heating and cooling buildings, and the way occupants define the “comfortable” conditions and controlling methods of occupants, play significant roles. The use of energy for heating, ventilating and air-conditioning of the indoor environment is already the largest sector in energy consumption in most of the developed world and increasingly in newly industrialised countries as well. It is commonly estimated that people in economically developed countries spend at least 80% of their time indoors. This suggests that the quality of the indoor environment can have a significant impact on comfort, health, and overall sense of wellbeing. Multiple studies have been, and are being conducted internationally to collect data on building users' behaviour with building control systems and devices, e.g. how people operate fans, radiators, windows, shades, luminaries, and fans to create desirable indoor environmental conditions. Such data can bring a better understanding of the nature, type and frequency of energy-related behaviours in buildings and thus support the development of corresponding behaviours.
There are numerous benefits to be gained from an improved understanding of the influence of occupant's behaviour in relation to indoor comfort and their energy usage. These include improved predictive models and standards, more sophisticated and responsive environmental control algorithms, increased opportunities for personal control, enhanced levels of comfort and acceptability among occupants, and reduced energy consumption.