Artículo
Data for the modelling of the future power system with a high share of variable renewable energy
Autor/es | Guerra Huilca, Karla Belén
García Haro, Pedro Gutiérrez, Raúl E. Gómez Barea, Alberto |
Departamento | Universidad de Sevilla. Departamento de Ingeniería Química y Ambiental |
Fecha de publicación | 2022-06 |
Fecha de depósito | 2022-07-04 |
Publicado en |
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Resumen | Energy and power system models have become necessary tools that provide challenges and technical and economic solutions for integrating high shares of Variable Renewable Energy. Models are focused on analysing strategies ... Energy and power system models have become necessary tools that provide challenges and technical and economic solutions for integrating high shares of Variable Renewable Energy. Models are focused on analysing strategies of power systems to achieve their decarbonisation targets. The data presented in this paper includes the model algorithm, inputs, equations, modelling assumptions, supplementary materials, and results of the simulations supporting the research article titled “Facing the high share of variable renewable energy in the power system: flexibility and stability requirements”. The analysis is based on data from the system operator of one of the European Union member states (Spain). The developed model allows making projections and calculations to obtain the power generation of each technology, the international interconnections, inertia, emissions, system costs and flexibility requirements of new technologies. These data can be used for energy policy development or decision making on power capacity and the balancing needs of the future power system. |
Identificador del proyecto | PID2020-114725RA-I00
VI PPIT-US CTM2016-78089-R P18-RT-4512 |
Cita | Guerra Huilca, K.B., García Haro, P., Gutiérrez, R.E. y Gómez Barea, A. (2022). Data for the modelling of the future power system with a high share of variable renewable energy. Data in Brief, 42, 108095. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Guerra_Data for the_DB42.pdf | 2.282Mb | [PDF] | Ver/ | |