Abstract
A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system. Although focussed on Great Britain, these data may be applicable to other energy systems worldwide. Data are presented for energy resources and energy technologies. Spatio-temporal energy resource data include availabilities of primary resources such as wind and solar, and demands for heat and electricity in the domestic, commercial and industrial sectors. Economic and operating parameters for a wide range of energy technologies are presented, including resource utilisation and conversion technologies such as wind turbines and electrolysers, resource transportation such as gas transmission systems, and energy storage technologies. The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in present-day energy systems.
Highlights
A comprehensive dataset for the resources and technologies in a present-day energy system is presented. These data were used as the model input data for spatio-temporal value chain optimisation studies for the Great Britain energy system
The data were gathered from a wide range of academic literature, technical reports, and government databases; all references are provided with the data. This dataset will be valuable for greater understanding of the energy value chain optimisation studies performed using the Value Web Model, carrying out further energy system modelling, and as a general reference for the resources and technologies in presentday energy systems
Energy (General) Value chain optimisation of the Great Britain energy system Tables Figures Data were compiled from a range of sources including:
Summary
A temporal aggregation is used in order to represent the time-varying data across the time horizon modelled. Modelled is represented by five seasonal intervals, including the four main seasons and a short “peak” interval to represent energy demands on extreme occasions. The subdaily variation is modelled with four sub-day intervals (enabling, for example, the representation of peak energy demands in the morning and evening). Multiple yearly intervals are modelled, and can include changes in the overall level of resource availability/demand, and changes in technology parameters (e.g. costs). The resource data in this article have been aggregated at the spatio-temporal representation used in the optimisations using the VWM. Typically data have been averaged across each time interval; where alternative methods have been used, this is described
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