Vallejo Díaz, A.; Herrera Moya, I.; Garabitos Lara, E.; Casilla Victorino, C.K. Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making. Sustainability2024, 16, 1362.
Vallejo Díaz, A.; Herrera Moya, I.; Garabitos Lara, E.; Casilla Victorino, C.K. Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making. Sustainability 2024, 16, 1362.
Vallejo Díaz, A.; Herrera Moya, I.; Garabitos Lara, E.; Casilla Victorino, C.K. Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making. Sustainability2024, 16, 1362.
Vallejo Díaz, A.; Herrera Moya, I.; Garabitos Lara, E.; Casilla Victorino, C.K. Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making. Sustainability 2024, 16, 1362.
Abstract
Urban wind energy has emerged as an attractive source of distributed generation in cities to achieve sustainable development goals. The advance in technologies for the use of urban wind energy has turned this source into an attractive alternative for the decarbonization of cities and the energy transition. The objectives of this work are (1) to identify the potential of wind energy through numerical weather prediction (NWP) data tools and (2) to identify the roles and responsibilities of the stakeholders involved in the decision-making process. A methodology was developed in two phases and applied to a case study in the Dominican Republic. The first phase consisted of estimating the wind energy potential for the 32 provinces at a height of 10 m using open-access geographic reference systems tools provided by NASA. In the second phase, 28 stakeholders were identified through snowball sampling. The Responsible, Accountable, Consult, and Informed (RACI) matrix tool was applied to identify the roles of the 28 institutions addressed at the country level as relevant in the decision-making process for the energy sector. The annual average wind speed and energy potential for each province were determined. It was found 24 provinces have poor potential, below <4.5 m/s. In the northwest and east is where there is the greatest potential, between 4.83 - 6.63 m/s. The population density was established and was observed that the provinces with greater potential are less densely populated. Through 59 interviews 28 institutions were identified and evaluated due to their relevance in decision-making for the implementation of energy projects. The MEM has strongly categorized as “A”, electricity distribution companies as “R”, energy associations and universities as “C”, and educational and justice institutions as “I”.
Keywords
urban wind energy; renewable energy; RACI matrix; energy potential, small wind turbines, Dominican Republic
Subject
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
