Raw data supporting the results presented in the article "Operational Supply and Demand Optimisation of a Multi-Vector District Energy System using Artificial Neural Networks and a Genetic Algorithm"
The dataset includes the components that made up the virtual eco-district that was optimised in this study. This includes the EnergyPlus building simulation models of the School, Apartment Block, Hospital, Hotel, and Office buildings. In addition, the recorded solar photovotaic generation data from St Teilo's school in Cardiff in included.
A complete record of the optimisation results is provided. This spreadsheet contains the optimised set points of each controllable energy generation source (CHP, heat pump, gas boiler and thermal storage), the set point temperature, average indoor temperature and energy consumption of the controllable office building, and the corresponding data for the baseline scenario against which the optimisation was compared.
Research results based upon these data are published at https://doi.org/10.1016/j.apenergy.2018.11.001
Funding
Real-time and semantic energy management across buildings in a district configuration (2015-10-01 - 2019-03-31); Reynolds, Jonathan. Funder: Engineering and Physical Sciences Research Council, Building Research Establishment Trust
History
Specialist software required to view data files
EnergyPlus V8.4 - Open Access software publicly available at https://energyplus.net/ is required to run the model. Any text editor can be used to simply view the model.Language(s) in dataset
- English-Great Britain (EN-GB)
Usage metrics
