Turning the UoBath campus into a green energy park: integrated process and systems modelling for planning and design

Project: Other

Project Details


MEng in Chemical Engineering project; Mr. Will Lomax (student)

Layman's description

The supervisor has developed a powerful modelling framework that can simultaneously determine the design and operation of any integrated energy networks comprising technologies for conversion, storage and transport. Using this methodology, you will explore whether the UoBath could reduce its energy bills and carbon footprint by generating its own energy. Currently, the university’s energy demand is being satisfied from the electricity and natural gas grids, with only 1% of the electricity demand being satisfied by solar PV. Options for distributed energy provision include district heating network supplied by boilers or CHPs, solar PV, wind turbines, anaerobic digesters, solar thermal hot water, energy storage and so on. The expected activities are as follows:

1. Profiling heat and electricity demands in each building in the campus, generating hourly profiles for a whole year.
2. Estimating the availability of local primary resources:
a. Wind and solar potential (data available from https://www.renewables.ninja/)
b. Biomass potential (e.g. wood and agricultural waste from nearby areas) and their pre-processing requirements (e.g. drying and chipping).
c. Organic wastes (e.g. from kitchens, gardens, supermarkets and farms) that can be used in anaerobic digesters.
3. Performing a site suitability analysis. This will include identifying all of the possible sites in the university where any of the technologies can be located (n.b. building rooftops are also potential sites).
4. Characterising the technologies, in terms of capital and operating costs, efficiencies, lifetime etc. You can obtain these data from the literature or by building process models.
5. Building an optimisation model, based on mixed-integer programming techniques, that will capture all of the system’s interdependencies (for this, you may use the supervisor’s model as a starting point or you may build the model from scratch). The model will determine the combinations of what, where, when and how in order to minimise costs and GHG emissions: what combinations of technologies to invest in, their location and their capacity (where), the storage and transport network required, the operation of each technology (how), when to buy and sell electricity to the grid and so on.

Effective start/end date6/02/1726/05/17


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