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"

<p>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 d...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Jonathan Reynolds (19655881) (author)
مؤلفون آخرون: Muhammad Ahmad (19655062) (author), Yacine Rezgui (19079759) (author), Jean-Laurent Hippolyte (19655935) (author)
منشور في: 2024
الموضوعات:
الوسوم: إضافة وسم
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الوصف
الملخص:<p>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.</p><p>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.</p><p>Research results based upon these data are published at https://doi.org/10.1016/j.apenergy.2018.11.001<br></p><p><br></p>