Dr Miaomiao He
Following a first degree in Building Services Engineering from the University of Shanghai for Science and Technology, Miaomiao went on to pursuit an MPhil at the University of Hong Kong. During her MPhil, she carried out case studies to access the performance of Ground Source Heat Pump (GSHP) and seasonal energy storage systems built in China. Upon the completion of her MPhil, Miaomiao joined the City University of Hong Kong and worked as a Research Assistant, where she carried out research on the development of a direct expansion solar heat pump model, as well as monitoring of thermal performance for natural airflow window.
She left Hong Kong and started her PhD at the Institute of Energy and Sustainable Development (IESD) at De Montfort University in 2007. Her PhD research focused on development, validation and implementation of a dynamic three-dimensional numerical model for Geothermal Borehole Heat Exchangers (BHEs) heat transfer and fluid flow. The model was then applied to evaluate systematic simulation of Ground Source Heat Pump systems coupled with building simulation tools such as EnergyPlus and HVACSIM+. Thermal interactions of multiple BHEs were also investigated. During her writing-up period, she worked on two iNET funded projects as a project assistant at IESD. She carried out simulation of flat pack buildings in EnergyPlus to investigate the effectiveness of phase change material on reducing over-heating hours for one of the projects, and for the other one, she analysed the economic and environmental impact of a high performance window using evacuated panels.
Miaomiao joined Loughborough University to work on the EPSRC funded SECURE project as a Research Associate in 2013. The aim of the project is to develop a regional urbanisation model for the North East (NE) of England, which synthesises resource-supply-demand-waste systems from city and local authorities to regional scales. On this project, she developed a dynamic housing stock model to estimate the baseline energy demand of the NE region, and to predict the effectiveness of applying different retrofit measures. She also applied a multi-objective optimisation package to identify the most cost-effective retrofitting strategies for the region. The latest work that has been carried out is the coupling of a stochastic occupancy model to the dynamic housing stock model, to predict hourly thermal demand of a neighbourhood.
She is a coursework tutor for the Building Energy Consumption Module of the MSc course on Low Carbon Building Design and Modelling.
She has reviewed for the journals Sustainability, Buildings, and International Journal of Energy Sector Management.
- Building Energy
- Dynamic Housing Stock Modelling
- Communal Energy Systems
- Dynamic/Numerical Modelling of Heat Transfer
- Geothermal Energy Systems
- SECURE: SElf Conserving URban Environments
SECURE is a consortium of four UK universities funded by the EPSRC. It aims to develop a Regional Urbanisation Model that synthesises resource-supply-demand-waste systems from city and local authorities to regional scales via the integration of Urbanisation, Building and Energy, and Ecosystem Services.