A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts

Bao, Qifang; Sinitskaya, Ekaterina; Gomez, Kelley J.; MacDonald, Erin F.; Yang, Maria C.

doi:10.1016/j.renene.2019.11.047

Cited by 43 publications

(15 citation statements)

References 29 publications

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“…In this scope, four different renewable energy alternatives are selected for the microgeneration system choices as in Table 10. Bao et al [35] Table 11 indicates evaluations for the alternatives. Average values are defined as in Table 12.…”

Section: Analysis Resultsmentioning

confidence: 99%

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Golden Cut-Oriented Q-Rung Orthopair Fuzzy Decision-Making Approach to Evaluation of Renewable Energy Alternatives for Microgeneration System Investments

Dınçer

Aksoy

Yüksel

et al. 2022

Mathematical Problems in Engineering

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This study aims to find an appropriate system for microgeneration energy investments and identify optimal renewable energy alternatives for the effectiveness of these projects. In this context, a model is constructed by multi stepwise weight assessment ratio analysis (M-SWARA) and technique for order preference by similarity to ideal solution (TOPSIS) with q-rung orthopair fuzzy sets (q-ROFSs) and golden cut. At the first stage, five different systems are weighted for the effectiveness of the microgeneration energy investments. Secondly, four different renewable energy alternatives are ranked regarding the performance of these projects. In addition, a comparative analysis is also implemented with intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The findings are the same in all different fuzzy sets that demonstrates the reliability of the findings. It is determined that grid-connected with battery backup is the most important system choice. On the other hand, solar energy is the most appropriate alternative for microgeneration system investments. Grid-connected system should be implemented for the performance of the microgeneration projects. Hence, providing a sustainable access to the electricity can be possible. Sufficient amount of electricity may not be obtained from wind and solar energy because of the climate changes. In this process, grid-connected system can handle this problem effectively.

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Section: Analysis Resultsmentioning

confidence: 99%

“…In ongrid systems, excess energy is given to the grid [33,34]. Similarly, if the energy produced by the micro solar panels does not meet the need, the missing part is supplied from the grid [35]. On the other hand, in off-grid systems, excess electricity is stored in batteries.…”

Section: Literature Reviewmentioning

confidence: 99%

Golden Cut-Oriented Q-Rung Orthopair Fuzzy Decision-Making Approach to Evaluation of Renewable Energy Alternatives for Microgeneration System Investments

Dınçer

Aksoy

Yüksel

et al. 2022

Mathematical Problems in Engineering

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“…They identified that energy systems should be easy to install. Bao et al [13] focused on the key factors in micro solar systems. They claimed that a difficult installation process leads to some barriers regarding the improvement of these systems.…”

Section: Literature Evaluationmentioning

confidence: 99%

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

et al. 2022

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Investments in microgeneration technologies help to boost the usage of clean energy while reducing pollution. However, selecting the appropriate investment remains the most critical phase in developing these technologies. This study aims to design a multi-criteria decision-making method (MCDM) to evaluate investment alternatives for microgeneration energy technologies. The proposed MCDM is based on a Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), to define the relative importance of the factors. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used to rank investment alternatives. Calculations were also made with Intuitionistic Fuzzy Sets (IFSs) and Pythagorean Fuzzy Sets (PFSs). For analysis, five evaluation criteria were selected based on the literature: frequency of maintenance, ease of installation, environmental adaptation, transmission technologies, and efficiency of cost. Similarly, six alternatives for microgeneration technology investments were selected: ground source heat pumps, micro hydroelectric power, micro combined heat and power, micro bioelectrochemical fuel cell systems, small-scale wind turbines, and photovoltaic systems. The results showed that cost efficiency was the most significant factor in the effectiveness of microgeneration energy investments, and the photovoltaic system was the best alternative to increase microgeneration energy technology investment performance. Furthermore, the results were the same for the analyses made with IFSs and PFSs, demonstrating the reliability of the proposed method. Therefore, investors in microgeneration technologies should prioritize photovoltaic systems. This conclusion is supported by the fact that photovoltaic is a renewable energy source that has witnessed the most technological improvements and cost reductions over the last decade.

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“…Exclusion based on full-text assessment was caused in 28 cases by not restricting the analysis to residential PV, in 11 cases by the lack of results of a quantitative survey with residential decision-makers, in 39 cases by not analyzing intention as dependent variable, and in 8 cases by previously determined exclusion criteria. More precisely, [99][100][101][102] and [87] include residents without grid access, and [54] and [103] perform choice experiments. [104] was not accessible as full-text article.…”

Section: Literature Selection Data Extraction and Processingmentioning

confidence: 99%

A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance

Schulte,

Scheller,

Sloot

et al. 2021

Preprint

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The adoption of residential photovoltaic systems (PV) is seen as an important part of the sustainable energy transition. To facilitate this process, it is crucial to identify the determinants of solar adoption. This paper follows a meta-analytical structural equation modeling approach, presenting a meta-analysis of studies on residential PV adoption intention, and assessing four behavioral models based on the theory of planned behavior to advance theory development. Of 653 initially identified studies, 110 remained for full-text screening. Only eight studies were sufficiently homogeneous, provided bivariate correlations, and could thus be integrated into the meta-analysis.The pooled correlations across primary studies revealed medium to large correlations between environmental concern, novelty seeking, perceived benefits, subjective norm and intention to adopt a residential PV system, whereas socio-demographic variables were uncorrelated with intention. Meta-analytical structural equation modeling revealed a model (N = 1,714) in which adoption intention was predicted by benefits and perceived behavioral control, and benefits in turn could be explained by environmental concern, novelty seeking, and subjective norm. Our results imply that measures should primarily focus on enhancing the perception of benefits. Based on obstacles we encountered within the analysis, we suggest guidelines to facilitate the future aggregation of scientific evidence, such as the systematic inclusion of key variables and reporting of bivariate correlations.

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A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts

Cited by 43 publications

References 29 publications

Golden Cut-Oriented Q-Rung Orthopair Fuzzy Decision-Making Approach to Evaluation of Renewable Energy Alternatives for Microgeneration System Investments

Golden Cut-Oriented Q-Rung Orthopair Fuzzy Decision-Making Approach to Evaluation of Renewable Energy Alternatives for Microgeneration System Investments

Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

A meta-analysis of residential PV adoption: the important role of perceived benefits, intentions and antecedents in solar energy acceptance

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