Affiliation:
1. Instituto Especializado de Estudios Superiores Loyola, San Cristóbal 91000, Dominican Republic
2. Instituto Tecnológico de Santo Domingo, Santo Domingo 10602, Dominican Republic
3. Facultad de Ingeniería Mecánica e Industrial, Universidad Central “Marta Abreu” de Las Villas (UCLV), Santa Clara 54830, Cuba
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”.
Funder
Ministry of Higher Education, Science and Technology (MESCYT) from the Dominican Republic
Reference88 articles.
1. S&P Global (2023, September 17). Climate Essentials. ArcGIS StoryMaps. Available online: https://storymaps.arcgis.com/collections/1e05ebf390554cb8b7cefa80e521afda.
2. Modelling least-cost technology pathways to decarbonise the New South Wales energy system by 2050;Murugesan;Renew. Sustain. Energy Transit.,2023
3. How does the Russian-Ukrainian war change connectedness and hedging opportunities? Comparison between dirty and clean energy markets versus global stock indices;Karkowska;J. Int. Financ. Mark. Inst. Money,2023
4. A historical turning point? Early evidence on how the Russia-Ukraine war changes public support for clean energy policies;Steffen;Energy Res. Soc. Sci.,2022
5. Dynamics of systemic risk in European gas and oil markets under the Russia–Ukraine conflict: A quantile regression neural network approach;Zhou;Energy Rep.,2023
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献