The work carried out by CEE typically falls into three research themes and four broad methodologies. These themes will support focused, high-impact research projects that combine models (simple and complex) and data in innovative ways across the following sectors to address specific problems. These are as follows:
Research involving homes and the people who own and live in them
NON DOMESTIC BUIDLINGS
Research involving commercial and public sector buildings and the people who own and work in them
Research involving vehicles, travel by land air or sea and those that use them
Physical measurement and data capture including
environmental monitoring systems
The development and use of computer models that
simulate the real world and manipulate big data
Interrogating big data to answer specific questions
and generate outputs that yield insights
Manipulating and visualising data in order to make sense of and better communicate its messages
Multiple research approaches to empirically determining the performance of domestic heat pumps in the largest European field trial to date (699 dwellings in total).
“Not everything that counts can be counted, and not everything that can be counted counts” Albert Einstein
Benchmarking and assessing the energy performance of UK non-domestic building stock: Schools, Offices, Prisons and Higher Education Buildings
Quantifying factors affecting mode choice behaviour in developing countries and explore the ways and the potentials of promoting bike sharing and car sharing schemes via examining the past, the present and future mobility opportunities
Mobility as a Service is a new concept for people’s mobility. The aim of this project is to investigate and model consumers demand for purchasing and using MaaS, as well as its potential impact on private vehicle ownership.
Taking advantage of open data and APIs, a methodology is developed to incorporate transport operators’ APIs and other open data sources into smartphone-based travel survey tools..
Developing methodologies for deriving individuals travel patterns via big data. The patterns are analysed based on several socio-economic characteristics, built environment characteristics/urban form, transport mode used, time of the day, happiness, weather conditions etc., while scenarios are constructed for the implications of mobility patterns on energy consumption.
A novel analysis framework for the spatial aspects of car travel, measured by vehicle miles travelled (VMT), extended to include a variable decomposition approach that captures potential asymmetries and hysteresis in a spatial setting.
Previous empirically constructed heat pump load profiles have only been informed by a handful of heat pump installations; here, the RHPP dataset has led to the inclusion of around 600 sites
HEAT looks to develop datasets for examining the relationship between energy use, energy efficiency and indoor environments and their co-relationship with health.
LUKES, the Longitudinal UK Energy Survey, is a feasibility study and proposal for a major new survey to understand energy demand in the National domestic building stock.