Time, history and meaning-making in research on people's relations with renewable energy technologies (RETs) – A conceptual proposal

Küpers, Sophia; Batel, Susana

doi:10.1016/j.enpol.2022.113358

Cited by 15 publications

(2 citation statements)

References 88 publications

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“…Further, the dimensions of community acceptance and socio-political acceptance mentioned above (Wustenhagen et al, 2007) are not necessarily as separated as they appear theoretically, as national and local communities may be relationally intertwined (Batel, 2018) and also comprised by the same kind of people (Batel and Devine-Wright, 2015b). Social acceptance is not a static set of attitudes or actors but a dynamic concept embracing broad, social relationships and organizations, which develop over time through learning processes (Wolsink, 2010(Wolsink, , 2018, see also Küpers & Batel 2023). It involves different actors on each dimension, as well as different and changing acceptance objects (products, but also processes and institutional change as objects, i.e., energy innovation), which makes it a complex phenomenon to study.…”

Section: A Social Acceptance Theoretical Frameworkmentioning

confidence: 99%

Socio-cultural conditions for social acceptance of bioeconomy transitions: the case of Norway

Farstad

Otte

Palmer

2023

Environ Dev Sustain

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Under the umbrella of sustainable development, the bioeconomy presents one vision for overcoming complex sustainability challenges, such as climate change, by replacing nonrenewable resources with renewable biological resources. But how will the efforts to implement this transition be received by the general public? Among Norwegians, the acceptance of a bioeconomic transition appears to be relatively high, and this study identifies critical enabling conditions in Norway that may be necessary to foster social acceptance in other countries as well. We employed a theoretical framework of social acceptance to demonstrate the complexity of this social phenomenon as a basis for an open and qualitative methodological approach. The study finds that trust, extinguished hopes of a pure life and intrepidness are enabling conditions that make people more receptive to new developments and future cultural adaption. As these fear averse conditions are not experienced globally, lower social acceptance of a bioeconomic transition can be expected elsewhere.

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Section: A Social Acceptance Theoretical Frameworkmentioning

confidence: 99%

Socio-cultural conditions for social acceptance of bioeconomy transitions: the case of Norway

Farstad

Otte

Palmer

2023

Environ Dev Sustain

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“…The petroleum supply crisis of 1970s led the modern countries to alternative energy resources. Combined with the increment in the environmental consciousness, the demand for the search of renewable energy supplies accelerated since 1980s [8]. In the widest sense, renewable energy technologies (RETs) refer to energy production and supply utilizing solar, wind, geothermal, water and biomass sources.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Network for Modelling the Relationship of the Real Gdp, Co2 Emission and Renewable Energy Consumption for Turkiye

Tuncsiper

2023

CJMS

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In this study, the relationship between Türkiye’s real gross domestic product, CO2 emission and renewable energy consumption is modelled using machine learning techniques. The data between 2003-2020, the period when renewable energy production and consumption have accelerated, are included in the modelling. First of all, it was tested whether there is a causal relationship between the real gross domestic product, CO2 emission and renewable energy consumption data. Afterwards, a deep learning model was developed in Python programming language by considering the real gross domestic product as the dependent variable while CO2 emission and renewable energy consumption are considered as independent variables. The developed deep learning model has two input nodes, three hidden layers consisting of 100 neurons each, and an output node. In addition, the rectified unit functions are used as nonlinear activation functions in the deep learning network. Based on the standard usage, seventy percent of the data was used as the training data and the remaining thirty percent were employed as the test data. The results of the developed deep learning network and actual gross domestic product data were compared, and it is shown that the developed deep learning network successfully models the relationship between the real gross domestic product, CO2 emission and the renewable energy consumption. The coefficient of determination of the developed model was calculated in Python environment as R2=0.986. This parameter value also indicates that the developed deep learning network model has a good performance for the modelling of the real gross domestic product dependent on the CO2 emission and renewable energy consumption.

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Beyond a checklist for acceptance: understanding the dynamic process of community acceptance

Kluskens,

Alkemade,

Höffken

2024

Sustain Sci

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Community acceptance is considered a prerequisite for successful energy transitions and the uptake of renewable energy technologies (RET). While policy and research often focus on acceptance as an outcome, the process of acceptance remains a black box, especially in uncontested RET implementation contexts. We study the dynamic process of community acceptance where (1) different actor groups can have (2) different roles and (3) different active and passive responses towards (4) different objects of acceptance within the RET project implementation. Results show that community acceptance occurs over time and goes beyond citizen or resident acceptance alone. By unpacking different dimensions of acceptance, we show that even in uncontested cases, acceptance is ambiguous and includes various responses toward various objects. Furthermore, we see that roles can influence and interact dynamically with responses and that preferences for roles are heterogeneous. To move beyond acceptance as a merely coincidental outcome, but a widely embraced and intentional process, this process should meet the participatory needs of different actors.

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Time, history and meaning-making in research on people's relations with renewable energy technologies (RETs) – A conceptual proposal

Cited by 15 publications

References 88 publications

Socio-cultural conditions for social acceptance of bioeconomy transitions: the case of Norway

Socio-cultural conditions for social acceptance of bioeconomy transitions: the case of Norway

A Deep Learning Network for Modelling the Relationship of the Real Gdp, Co2 Emission and Renewable Energy Consumption for Turkiye

Beyond a checklist for acceptance: understanding the dynamic process of community acceptance

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