Coupling Rural Development with the Development of Energy Communities: A Participatory Study in Vega De Valcarce, Spain

Lode, Maria Luisa; Felice, Alex E.; Alonso, Ander Martinez; Silva, Jayesh De; López, María Eugenia; Lowitzsch, Jens; Coosemans, Thierry; Camargo, Luis Ramirez

doi:10.2139/ssrn.4084306

Cited by 3 publications

(4 citation statements)

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“…The energy system constitutes the reference case study of the present study and comprises two dispatchable assets (PV and wind turbines) and two stationary battery storages, and it is linked to the Belgian electricity grid mix. (ii) Vega de Valcarce, a rural town in Spain, was studied in the context of the Renaissance project towards the implementation of an Energy Community [30]. At this location, the Spanish electricity grid mix and the integration of PV panels are addressed to supply a load, including the town hall and the school, as well as 100 residential and 2 commerce consumers.…”

Section: Comparative Framework 251 Case Studiesmentioning

confidence: 99%

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Eco-Efficiency as a Decision Support Tool to Compare Renewable Energy Systems

et al. 2023

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Even though eco-efficiency (EE) is already applied to various energy systems, so far, no study investigates in detail the hourly, marginal and seasonal impacts of a decentralized energy system. This study assesses the hourly EE of the Research Park Zellik (RPZ), located in the Brussels metropolitan area for 2022 composed of photovoltaic installations, wind turbines and batteries. A cradle-to-grave life cycle assessment (LCA) to identify the carbon footprint (CF) and a levelized cost of electricity (LCOE) calculation is conducted. An existing design optimization framework is applied to the RPZ. Consumption data are obtained from smart meters of five consumers at the RPZ on a one-hour time resolution for 2022 and upscaled based on the annual consumption of the RPZ. As the EE is presented as the sum of the CF and the LCOE, a lower EE corresponds to an economically and environmentally preferable energy system. In a comparative framework, the developed method is applied to two different case studies, namely, (i) to an energy system in Vega de Valcerce in Spain and (ii) to an energy system in Bèli Bartoka in Poland. The average EE of the RPZ energy system in 2022 is 0.15 per kWh, while the average EE of the Polish and Spanish energy systems are 1.48 and 0.36 per kWh, respectively. When analyzing four selected weeks, both the LCOE and CF of the RPZ energy system are driven by the consumption of the Belgian electricity grid mix. In contrast, due to the very low LCOE and CF of the renewable energy sources, in particular wind turbines, the RPZ energy system’s EE benefits and lies below the EE of the Belgium electricity grid mix.

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Section: Comparative Framework 251 Case Studiesmentioning

confidence: 99%

“…However, to provide a clear overview, the values indicate the average values of the year-long time series. (PV = photovoltaic panels; source: own compilation and [30]).…”

Section: Comparative Framework 251 Case Studiesmentioning

confidence: 99%

Eco-Efficiency as a Decision Support Tool to Compare Renewable Energy Systems

et al. 2023

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“…The LIGHTNESS [22] with preliminary results [23] and the RENAISSANCE [24] projects are developing methods to support citizens' empowerment in the generation, sharing, and selling of renewable energy, through local engagement processes, and policy recommendations, and enabling platforms. Specifically, in the RENAISSANCE project, 4 demonstrators are being developed in Spain [25], Netherlands, Belgium [26], and Greece. Also 10 replication sites around the world.…”

Section: Specification and Development Of New Algorithms For Rec And ...mentioning

confidence: 99%

Renewable Energy Community Pairing Methodology Using Statistical Learning Applied to Georeferenced Energy Profiles

Lucas

Carvalhosa

2022

Energies

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Renewable energy communities (REC) are bound to play a crucial role in the energy transition, as their role, activities, and legal forms become clearer, and their dissemination becomes larger. Even though their mass grid integration, is regarded with high expectations, their diffusion, however, has not been an easy task. Its legal form and success, entail responsibilities, prospects, trust, and synergies to be explored between its members, whose collective dynamics should aim for optimal operation. In this regard, the pairing methodology of potential participants ahead of asset dimensioning seems to have been overlooked. This article presents a methodology for pairing consumers, based on their georeferenced load consumptions. A case study in an area of Porto (Asprela) was used to test the methodology. QGIS is used as a geo-representation tool and its PlanHeat plugin for district characterization support. A supervised statistical learning approach is used to identify the feature importance of an overall district energy consumption profile. With the main variables identified, the methodology applies standard K-means and Dynamic Time Warping clustering, from which, users from different clusters should be paired to explore PV as the main generation asset. To validate the assumption that this complementarity of load diagrams could decrease the total surplus of a typical PV generation, 18 pairings were tested. Results show that, even though it is not true that all pairings from different clusters lead to lower surplus, on average, this seems to be the trend. From the sample analyzed a maximum of 36% and an average of 12% less PV surplus generation is observed.

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“…Therefore, this study applied a participatory Multi-Criteria Analysis (specifically the Multi-Actor Multi-Criteria Analysis (MAMCA) [14]) to incorporate both the technical performance, as well as the social preferences in the evaluation of different energy scenarios. Building on combined approaches in previous studies on energy communities in the European Union [15], [16], this study was embedded in larger engagement activities, including the conduction of surveys, interviews, and communal workshops. The quantitative and qualitative data generated through these activities and a mixed-integer linear program (MILP) model used for the energy system optimization were fed into MAMCA.…”

Section: Introductionmentioning

confidence: 99%

Designing renewable and socially accepted energy systems for astronomical telescopes: A move towards energy justice

Valenzuela-Venegas

Lode

Viole

et al. 2023

Preprint

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Remote astronomical telescopes without access to the national electricity grid rely mostly on fossil fuels. Climate change concerns and fuel price vulnerability drive the transition to renewable energy sources. Astronomical facilities are usually designed without considering the surrounding communities’ social and energy needs or using renewable energy sources to power them. This study proposes a socially accepted renewable energy system for a future telescope in the Atacama Desert, combining an energy system model with a participatory multi-criteria analysis. Our findings highlight that various stakeholders prioritize emission reduction, security of supply, and electricity costs. The results reveal that a renewable energy system supplying the telescope could also cover 66% of the nearby San Pedro de Atacama community’s energy needs without additional capacity. Replicating similar energy systems at nearby telescopes could reduce fossil fuel-based energy generation by over 30GWh annually, cutting emissions of the area by 17-23ktCO2eq, while contributing to energy justice.

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Coupling Rural Development with the Development of Energy Communities: A Participatory Study in Vega De Valcarce, Spain

Cited by 3 publications

References 0 publications

Eco-Efficiency as a Decision Support Tool to Compare Renewable Energy Systems

Eco-Efficiency as a Decision Support Tool to Compare Renewable Energy Systems

Renewable Energy Community Pairing Methodology Using Statistical Learning Applied to Georeferenced Energy Profiles

Designing renewable and socially accepted energy systems for astronomical telescopes: A move towards energy justice

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