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Techno-economic dataset and assumptions for long-term energy systems modelling in the Dominican Republic (2024–2050)

Authors :
Jarrizon Quevedo
Idalberto Herrera Moya
Deyslen Mariano-Hernandez
Giuseppe Sbriz-Zeitun
Carla Cannone
Mark Howells
Rudolf Yeganyan
Miguel Aybar-Mejía
Source :
Data in Brief, Vol 52, Iss , Pp 110012- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

The land transport sector, impacting fossil fuel consumption, has been selected as one of the sectors to apply decarbonization strategies. Energy systems modelling is an applied tool to evaluate scenarios and strategies that can be implemented in the transport sector to achieve energy transitions. These energy modelling tools need a dataset that allows the simulation of alternative scenarios of the systems. For this purpose, a collection and processing of technical-economic data is needed to ensure a quality input for simulation tools. This article presents a set of open data to create a model of the energy system of the Dominican Republic to assess alternative scenarios and develop strategies to achieve the energy transition in the land transport sector. This exercise is performed to support the energy planning policies of the country. Although the dataset is presented for the conditions of the Dominican Republic, the insight regarding data gathering and processing can be applied to other island countries. The data obtained are an open-access database of energy regulators, generation agents, and representatives of the generation, transmission, and distribution sector, as well as websites, databases of international organizations, scientific journals, and standards. Therefore, the data presented can be updated as the technical-economic information becomes public.

Details

Language :
English
ISSN :
23523409
Volume :
52
Issue :
110012-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.b3d3fa67295044d89bfce356810566b9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2023.110012