Diffusion of solar photovoltaic systems and electric vehicles among Dutch consumers: Implications for the energy transition

Kam, Mart van der; Meelen, A.A.H.; Sark, W.G.J.H.M. van; Alkemade, Floortje

doi:10.1016/j.erss.2018.06.003

Cited by 66 publications

(24 citation statements)

References 70 publications

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“…The temporal matching between midday PV power production and EV non-residential charging motivated researchers as early as 1997 to investigate the potential for synergy between PV and EVs 6 . Synergies between the two technologies were recently modeled on the scale of a few buildings [7][8][9][10][11] , a residential neighborhood 12,13 , a university microgrid 14 , a city [15][16][17][18] , and on regional and national scales 19,20 . As regards the types of the buildings, residential buildings 11 , workplace buildings 8,10 , a university 9 , and a hotel 7 were simulated.…”

Section: Introductionmentioning

confidence: 99%

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Shepero

Lingfors

Widén

et al. 2020

Journal of Renewable and Sustainable Energy

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Section: Introductionmentioning

confidence: 99%

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Shepero

Lingfors

Widén

et al. 2020

Journal of Renewable and Sustainable Energy

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“…This is particularly relevant concerning vehicles as they are especially visible as innovations [12]. The diffusion of innovation theory has also been applied to so-called eco-innovations [39], which are products and processes that contribute to sustainable development [40], such as photovoltaic solar panels (PVs) or EVs. The so-called "neighbor effect" in the adoption of alternative fuel vehicles has been proven for family members, coworkers, and neighbors [12,29,30].…”

Section: Neighbor Effect and Tourism As A Driver For Changementioning

confidence: 99%

Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Tomasi

Zubaryeva

C³

et al. 2021

Sustainability

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Electric vehicles (EVs) are low-carbon innovations that decrease emissions in transportation. Understanding what drives individual propensity to choose EVs supports policymakers in shaping effective low-carbon mobility policies. Within the MOBSTER Interreg project, data were collected using a survey administered to residents in three Alpine cross-border regions—Canton Ticino (Switzerland), South Tyrol (Italy), and Verbano-Cusio-Ossola (Italy)—and were analyzed with a logistic regression. This study reports on the relevant drivers of EV uptake, showing (i) that some sociodemographic attributes positively impact the propensity to choose an EV (e.g., young age and teenage children), (ii) that the presence and visibility of charging infrastructures are important, and (iii) that the role of tourism is not a driver of EV uptake. This study confirms that policies should consider sociodemographics, social practices, and physical infrastructures as playing roles in EV uptake. Future research should address the issue of access to low-carbon innovations for all.

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“…These studies are focused on diffusion of products, which is different from system diffusion (Rotmans et al, 2001). Yet by focusing on the diffusion of a focal technology of a new system, innovation diffusion studies may still contain relevant insights (Geels and Johnson, 2018;Van der Kam et al, 2018) and in fact, diffusion curves are often used in sustainability transition studies (Rotmans et al, 2001;Elzen et al, 2012;De Haan et al, 2016;Kanger and Schot, 2016). Rogers (2010) distinguished five different groups of buyers with different personal profiles adopting new technology at different sequences of time.…”

Section: Relating Alignment Patterns To Niche Accelerationmentioning

confidence: 99%

Niche Acceleration Driven by Expectation Dynamics Among Niche and Regime Actors: China’s Wind and Solar Power Development

2020

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This paper addresses the question how does the alignment of expectations between niche and regime actors unfold during niche development process, and how it shapes the niche development process? In this paper we offer a theoretical framework with three alignment patterns: strong, medium-strong and weak alignment, based on niche and regime actors' expectation structures. The research aims to establish whether the alignment patterns match three distinct stages of niche development: slow niche development; moderate niche development and substantial niche acceleration. We propose a 16% threshold in terms of adoption for niche acceleration. We apply the conceptual framework to two long-term cases, of wind and solar power development in China between 2000 and 2017. These present two independent cases with different stages of niche development during the studied period, but in the end both show niche acceleration. Our two cases suggest that although alignment patterns between both cases differ, they match niche development phases. Strong alignment does go hand in hand with niche acceleration. Overall, this paper contributes to both a conceptual and methodological understanding of how the alignment patterns between niche and regime actors' expectations contribute to niche acceleration.

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Diffusion of solar photovoltaic systems and electric vehicles among Dutch consumers: Implications for the energy transition

Cited by 66 publications

References 70 publications

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Estimating the spatiotemporal potential of self-consuming photovoltaic energy to charge electric vehicles in rural and urban Nordic areas

Propensity to Choose Electric Vehicles in Cross-Border Alpine Regions

Niche Acceleration Driven by Expectation Dynamics Among Niche and Regime Actors: China’s Wind and Solar Power Development

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