Energy citizenship: Accounting for the heterogeneity of human behaviours within energy transition

Schlindwein, Luise F.; Montalvo, Carlos

doi:10.1016/j.enpol.2023.113662

Cited by 21 publications

(1 citation statement)

References 133 publications

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“…It is essential to adopt decision-making tools to identify hidden factors that must be overcome for the adequate implementation of distributed technologies in urban environments to support the energy transition [9]. This energy transition is aimed at changing to a low-carbon energy system.…”

Section: Introductionmentioning

confidence: 99%

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

Vallejo Díaz,

Herrera Moya,

Garabitos Lara

et al. 2024

Sustainability

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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”.

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Section: Introductionmentioning

confidence: 99%

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

Vallejo Díaz,

Herrera Moya,

Garabitos Lara

et al. 2024

Sustainability

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Machine Learning Algorithms Based for Demand-Side Energy Forecasting of an Office Building Loads

Chakir,

Souabi,

Tabaa

2024

Communications in Computer and Information Science

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Project finance or corporate finance for renewable energy? an agent-based insight

Baldauf,

Jochem

2024

J Econ Interact Coord

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State-of-the-art macroeconomic agent-based models (ABMs) include an increasing level of detail in the energy sector. However, the possible financing mechanisms of renewable energy are rarely considered. In this study, an investment model for power plants is conceptualized, in which energy investors interact in an imperfect and decentralized market network for credits, deposits and project equity. Agents engage in new power plant investments either through a special purpose vehicle in a project finance (PF) structure or via standard corporate finance (CF). The model portrays the growth of new power generation capacity, taking into account technological differences and investment risks associated with the power market. Different scenarios are contrasted to investigate the influence of PF investments on the transition. Further, the effectiveness of a simple green credit easing (GCE) mechanism is discussed. The results show that varying the composition of the PF and CF strategies significantly influences the transition speed. GCE can recover the pace of the transition, even under drastic reductions in PF. The model serves as a foundational framework for more in-depth policy analysis within larger agent-based integrated assessment models.

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Energy citizenship: Accounting for the heterogeneity of human behaviours within energy transition

Cited by 21 publications

References 133 publications

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

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

Machine Learning Algorithms Based for Demand-Side Energy Forecasting of an Office Building Loads

Project finance or corporate finance for renewable energy? an agent-based insight

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