Techno-economic dataset and assumptions for long-term energy systems modelling in the Dominican Republic (2024–2050)
Jarrizon Quevedo,
Idalberto Herrera Moya,
Deyslen Mariano-Hernandez,
Giuseppe Sbriz-Zeitun,
Carla Cannone,
Mark Howells,
Rudolf Yeganyan,
Miguel Aybar-Mejía
Affiliations
Jarrizon Quevedo
Área de Ciencias Básica, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic; Corresponding authors.
Idalberto Herrera Moya
Área de Ciencias Básica, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic; Facultad de Ingeniería Mecánica e Industrial, Universidad Central “Marta Abreu” de Las Villas (UCLV), Santa Clara, Cuba; Corresponding authors.
Deyslen Mariano-Hernandez
Área de Ingeniería, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic
Giuseppe Sbriz-Zeitun
Área de Ingeniería, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic
Carla Cannone
Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom; Centre for Environmental Policy, Imperial College London, United Kingdom
Mark Howells
Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom; Centre for Environmental Policy, Imperial College London, United Kingdom
Rudolf Yeganyan
Centre for Sustainable Transitions: Energy, Environment & Resilience (STEER), Loughborough University, United Kingdom; Centre for Environmental Policy, Imperial College London, United Kingdom
Miguel Aybar-Mejía
Área de Ingeniería, Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic; Corresponding authors.
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.