A segmentation analysis: the case of photovoltaic in the Netherlands

Vasseur, Véronique; Kemp, René

doi:10.1007/s12053-015-9340-8

Cited by 26 publications

(38 citation statements)

References 12 publications

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“…Segments are constructed by using models which measures how different groups can be taken into and what metric should define those groups. [29] Vasseur & Kemp classified PV consumer in the Netherlands into four groups which were PV users (voluntary and involuntary) and non-users (potential users and rejecters) by examining segmentations such as demographic, geographic, psychologic, and behavior [30]. Those segmentations help to build a glimpse of which types of people use or reject a system.…”

Section: Market Segmentations Of Solar Pv Usersmentioning

confidence: 99%

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Forecasting Annual Solar PV Capacity Installation in Thailand Residential Sector: A User Segmentation Approach

Fachrizal¹,

Tang²

2019

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Solar PV is one of the fast-growing renewable energy in Thailand. Three sectors are contributing to solar PV installation, which are solar farms, industrial, and residential sector. However, the latter only contributes 1.39% of the cumulative capacity in 2016. By considering the lowering price of installation cost, growing affordable households, and a vast amount of solar irradiation in Thailand, it is of interest to observe the potential of the residential sector. Besides, there is a lack of study that focuses on the forecasting of residential solar PV in Thailand. Thus, this paper emphasizes on annual installation forecast of solar PV capacity in Thailand residential sector by using segmentation. This research categorizes residents into four categories, PV users with and without batteries, potential users, and rejecters, aimed to understand different types of users. An online survey of Thai residents about solar PV utilization was conducted from December 2017 to February 2018 to collect the data for the research. The results find that there is an exponential trend of increasing residential solar PV installation, followed by the reduction of payback period over time. It is forecasted about 3,511.4 MW of residential PV installation in the end of forecasting period. This research helps the decision maker to update the policies.

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Section: Market Segmentations Of Solar Pv Usersmentioning

confidence: 99%

“…A decreasing trend of average total installation cost includes the decrease of sub-installation parts [29]. The installation cost consists of PV module price and a balance of system price.…”

Section: Scenariosmentioning

confidence: 99%

Forecasting Annual Solar PV Capacity Installation in Thailand Residential Sector: A User Segmentation Approach

Fachrizal¹,

Tang²

2019

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“…In 2018, photovoltaics 1 accounted for only a small share of 4.5% of the total net electricity generation in the European Union (EU, Jäger-Waldau 2018), whereas rooftop photovoltaics alone have the potential to grow to a quarter of total electricity demand (Bódis et al 2019). To facilitate this uptake, previous studies have demonstrated that tailoring messages to targeted homeowners is more effective than a 'one-size-fits-all' approach (Wolske et al 2018;Vasseur and Kemp 2015b;Sachs et al 2019). However, more insight into potential RPV adopters is needed to make policy actions, communication and marketing campaigns more effective by targeting specific groups (Petrovich et al 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Some studies demonstrate that a high level of environmental concern will enhance RPV adoption (J. Palm and Eriksson 2018;Petrovich et al 2019;Vasseur and Kemp 2015b), whereas a quantitative study by Wolske et al (2017, n = 904), among potential adopters in the USA, demonstrates that pro-environmental norms only indirectly increase the interest in RPV through perceived personal benefits. Moreover, a study by Schelly (2014, n = 48), based on qualitative interviews with RPV adopters in Wisconsin (USA), points out that environmental values alone are not sufficient and/or not always needed for RPV adoption.…”

Section: Introductionmentioning

confidence: 99%

Not all homeowners are alike: a segmentation model based on a quantitative analysis of Dutch adopters of residential photovoltaics

et al. 2021

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The implementation of residential photovoltaics must increase more rapidly to combat climate change and its impacts. This challenge is addressed in this study by introducing a segmentation model in order to develop a theoretical and empirical foundation for understanding the heterogeneity of potential adopters. Data were collected by means of a survey among Dutch adopters (n = 1395) and the data is analysed with statistical descriptive analyses and nonparametric tests. The five segmentation groups are divided by the homeowners’ educational background or profession (technical, financial-economic or other) and level of environmental concern. The results demonstrate that the groups are substantial in size and that there are significant differences between these groups on personal characteristics such as homeowners’ level of environmental concern and the level of influence of their social network on their decision to adopt. In addition, significant differences are found between the groups on the perceived characteristics of the residential photovoltaics such as perceived complexity and aesthetics, and the amount of previous practice with other energy measures in their home. Accordingly, these insights can be used by policymakers and the public and private sectors to promote residential photovoltaics more effectively by targeting the segmentation groups more adequately. The different groups will be drawn to different aspects and therefore, a broader pallet of benefits must be presented; a mix of different communication channels must be used; objective and non-technical assistance in the decision-making must be offered; and different kind of products must be provided.

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“…A brief review of recent European studies focused on this line of research is summarized in Table 2. [38] The Netherlands Electricity cost-savings and costs of PV system Self-sufficiency and contribution to a better natural environment…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Approach to the Decision-Making Process of Energy Prosumers in a Circular Economy

2020

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Renewable distributed energy and self-consumption are promising and sustainable solutions in the energy-transition scenario for moving toward a circular economy. In this future scheme, prosumers are expected to play a leading role in the forthcoming sustainable energy market, facing new technical, economic, and financial challenges as energy producers at a small scale. In fact, the adoption of photovoltaic (PV) self-consumption systems requires mobilizing capital for investment and their interaction with the market. In this scenario, the aim of this paper was to explore insights into the decision-making process of prosumers to enhance the understanding of self-consumption deployment and to support effective policymaking. This study contributes to the state of the art by defining and classifying determinants of the energy prosumers’ decision-making process and their relevance using a heuristic approach. Potential measuring tools and methods are analyzed through a specific case study of Spanish prosumers.

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A segmentation analysis: the case of photovoltaic in the Netherlands

Cited by 26 publications

References 12 publications

Forecasting Annual Solar PV Capacity Installation in Thailand Residential Sector: A User Segmentation Approach

Forecasting Annual Solar PV Capacity Installation in Thailand Residential Sector: A User Segmentation Approach

Not all homeowners are alike: a segmentation model based on a quantitative analysis of Dutch adopters of residential photovoltaics

A Heuristic Approach to the Decision-Making Process of Energy Prosumers in a Circular Economy

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