Effectiveness and Prospects of Implementing a Solar Water Heating System in Astana, Kazakhstan

Absemetov, Askar; Mukushev, Medet; Yerubayev, Alibek; Zhumanalina, Zarina; Rojas‐Solórzano, Luis

doi:10.1007/978-3-319-89845-2_42

Cited by 2 publications

(2 citation statements)

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“…Although 'electricity price' and 'fossil fuel price' were subsets of the 'energy price' predictor, they were classified as separate variables. Some papers cited 'energy prices' in detail and in the form of 'fossil fuel price' and 'electricity price' [21,37,44], whereas others explored the 'energy price' variable generally [46].…”

Section: Economic Predictorsmentioning

confidence: 99%

“…The predictor of 'solar collector', the main component of the system, was analysed in 9% of the studies. The predictors of 'SWH lifespan' and 'capacity', the next most popular technical factors, were investigated in fewer than 10 studies [34,46]. 'Common technical knowledge' covered the technical qualitative traits and usual necessary expertise regarding adoption behaviour.…”

Section: Technical Predictorsmentioning

confidence: 99%

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Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision

et al. 2021

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The successful deployment of the solar water heater (SWH) in the residential sector relies on the household’s bounded rational decision-makers to accept this system. The decision is shaped by a wide spectrum of predictors that form heterogeneous behaviour. Over the past years, research has employed a wide range of these predictors to understand their role in the decision and predict the behaviour and diffusion rate of SWHs. This review primarily identifies economic and technical predictors of 100 quantitative and qualitative studies on the residential SWH adoption decision. For the identified predictors, their characteristics and popularity are explored in a structured and coherent framework. The review further investigates the correlation between the identified predictors and the adoption decision from 97 of the 100 initially reviewed studies. The outcome of the research revealed 123 (56 economic and 67 technical) predictors that were classified into seven categories. ‘Financial incentives’ and ‘perceived attitude towards government policies’ are among the most popular economic predictors, whereas ‘house type’ and ‘knowledge of SWH’ were the most frequent technical factors in the research. Analysing the correlation between 99 predictors and the decision also unfolded that certain attitudinal attributes have a stronger influence on the residential SWH take-up than some common factors (e.g., electricity cost, technical variables).

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Section: Economic Predictorsmentioning

confidence: 99%

Section: Technical Predictorsmentioning

confidence: 99%