What shapes community acceptance of large-scale solar farms? A case study of the UK’s first ‘nationally significant’ solar farm

Roddis, Philippa; Roelich, Katy; Tran, Katherine; Carver, Stephen; Dallimer, Martin; Ziv, Guy

doi:10.1016/j.solener.2020.08.065

Cited by 54 publications

(28 citation statements)

References 55 publications

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“…Wind farms (Caporale et al 2020), biomass plantations (Fytili and Zabaniotou 2017), geothermal plants (Manzella et al 2019) and, especially, hydropower dams (Mayeda andBoyd 2020, Sütterlin andSiegrist 2017) are the most obvious examples of this. Conversely, utility-scale solar plants typically receive less opposition than other technologies (Sütterlin and Siegrist 2017), although potential limitations have been noted (Roddis et al 2020). And, while relatively few plants exist, opposition to new marine energy facilities are not generally expected (Bailey et al 2011).…”

Section: Socio-political Acceptancementioning

confidence: 99%

Overlooked factors in predicting the transition to clean electricity

Martin

Madrid‐López

Villalba

et al. 2022

Environ. Res.: Infrastruct. Sustain.

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The transition to clean energy will require significant increases in electricity sourced from renewable energy technologies. While wind and solar photovoltaic sources are generally expected to overtake hydropower to dominate the renewable electricity supply market, numerous other technologies vie for a share in this rapidly evolving arena. To date, predicting the emergence of different technologies has relied on large-scale energy models that employ simplified optimisations of economic and emissions reductions outcomes. This is problematic as many additional factors, largely underrepresented in current models, are likely to co-determine technological emergence storylines in the real world. Here, we present a summary of the best available information for five key factors as they apply to the seven most common renewable electricity technology categories. The findings suggest that wind and solar photovoltaic technologies remain the most likely to dominate the market going forward but could face considerable raw material supply risk issues. Other potentially more desirable alternatives exist but face their own geographic and environmental limitations. Ultimately, the study demonstrates the potential and importance of expanding the use of other relevant factors in the forecasting of energy transition pathways and in the field of energy modelling as a whole.

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Section: Socio-political Acceptancementioning

confidence: 99%

Overlooked factors in predicting the transition to clean electricity

Martin

Madrid‐López

Villalba

et al. 2022

Environ. Res.: Infrastruct. Sustain.

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“…It is expected that RE will increase from 25% of electricity generation (in 2017), to 85% by 2050 [8]. However, this development requires new approaches for power supply system planning, market operations, and major policy codification [10,11].…”

Section: Introductionmentioning

confidence: 99%

Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study

et al. 2021

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Energy requirements have increased dramatically due to industrialization, economic, and population growth. To meet this demand, and solve its challenges, such as climate change, renewable energies do play an important role. This research work aims at selecting the best renewable energy projects using a hybrid decision-making framework from environmental, economic, technical, and social aspects at a sub-national level. In this regard, a new hybrid fuzzy multi-criteria decision-making model is deployed in which Vise Kriterijumska Optimizacija I Kompromisno Resenje, distance from average solution, and additive ratio assessment methods are used. In addition, for the weighing of criteria, Fuzzy Shannon’s entropy is used. Furthermore, the North Khorasan province is nominated as a sub-national study area. The results show that among 30 sub-criteria, social acceptance, net-presented cost, and noise were the top three with weights of 0.1105, 0.1003, and 0.0988, respectively. Solar energy projects also accomplished high ranks with an overall score of roughly 0.22. After that, small hydropower got second place with a score of 0.187. Moreover, the ranking of cities indicates that Jajarm was the most suitable location for implementing renewable energy development with a score of 0.14. Finally, sensitivity analysis was carried out to show that the mathematical model possessed good robustness.

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“…Community acceptance is mainly addressed in the study on social acceptance of renewable energy projects among the three dimensions [21,22]. The factors that are mainly influencing community acceptance are distributive justice and procedural justice [18,23].…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

Cost Allocation in Integrated Community Energy Systems—Social Acceptance

Hakvoort

Lukszo

2021

Sustainability

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Integrated community energy systems (ICESs) are a good representative of local energy systems by integrating local distributed energy resources and local communities. It is proposed that costs should be allocated in a socially acceptable manner since there is no regulation in ICESs. In this paper, social acceptance is conceptualized from the dimension of community acceptance considering procedural and distributive justice. A fair process increases the understanding and the acceptance of the cost allocation outcomes, and a fair outcome leads to the acceptance of the cost allocation procedure. This approach adopted the multi-criteria decision-making technique to evaluate social acceptance to select a cost allocation method that was socially acceptable to local community members. The results show that our approach is unique and useful when multiple decision-making groups have to decide together upon the cost allocation method. It is able to provide quantitative results and optimal decisions from a multi-group decision-making perspective. The methodology developed in this research can be applied to any local community energy system to select a cost allocation method. Furthermore, the obtained results can be used by decision-makers to support them in the decision-making process. Based on our approach, policy implications are also analyzed to support the success of cost allocation in ICESs.

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What shapes community acceptance of large-scale solar farms? A case study of the UK’s first ‘nationally significant’ solar farm

Cited by 54 publications

References 55 publications

Overlooked factors in predicting the transition to clean electricity

Overlooked factors in predicting the transition to clean electricity

Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study

Cost Allocation in Integrated Community Energy Systems—Social Acceptance

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