Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making

Alexander Vallejo Díaz (), Idalberto Herrera Moya, Edwin Garabitos Lara and Cándida K. Casilla Victorino
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Alexander Vallejo Díaz: Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
Idalberto Herrera Moya: Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
Edwin Garabitos Lara: Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
Cándida K. Casilla Victorino: Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic

Sustainability, 2024, vol. 16, issue 4, 1-20

Abstract: Urban wind energy has emerged as an attractive source of distributed generation in cities to achieve sustainable development goals. The advancement in technologies for the use of urban wind energy has offered an 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 NWP tools provided by NASA. In the second phase, 28 stakeholders were identified through snowball sampling. The Responsible, Accountable, Consulted, 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 that 24 provinces have poor potentials, below <4.5 m/s. In the northwest and east is where there is the greatest potential, between 4.83 and 6.63 m/s. The population density was established, and it 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. According to the RACI matrix, the Ministry of Energy and Mines has been 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; decision making; small wind turbines; Dominican Republic (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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