Barriers and solutions of solar water heaters in Mexican household

Salgado-Conrado, Lizbeth; Lopez-Montelongo, Areli

doi:10.1016/j.solener.2019.06.021

Cited by 19 publications

(6 citation statements)

References 13 publications

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“…In Mexico, the governmental programmes have positively motivated the adoption of solar water heating systems. However, issues related to the structural conditions of buildings, low income and access to water limit their use (Salgado-Conrado and Lopez-Montelongo, 2019).…”

Section: Discussionmentioning

confidence: 99%

Solar energy analysis in use and implementation in Mexico: a review

Miguel

Andrade

2020

IJESM

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Purpose The purpose of this paper is to analyse how solar energy is harnessed and implemented in Mexico. This paper presents a diachronic analysis of the divergent literature presented into the subject with the themes being divided substantially. Design/methodology/approach This paper used at least five methods in the identification of the studies with the first being the use of the SCImago Institution Ranking followed by the use of Scopus for journal evaluation. SCImago was used to determine the efficiency of the journals with the Newcastle Ottawa scale allowing for the evaluation of the different case study articles presented on Mexico. The fourth tool was a 21-item STROBE checklist after which the Web of Science was used to determine the authenticity levels of the identified articles. Findings The implementation of solar energy technologies is still novel in Mexico with private and public entities working together towards building sustainable options. In addition, it cites the divergent merits that might stem from the use of solar energy technologies. Originality/value A myriad of articles has been presented concerning solar energy in Mexico, but no attempt has been made to synthesize the evidence and arguments made in this significant body of research. The subsequent review is original with its findings being valuable for current and future research.

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Section: Discussionmentioning

confidence: 99%

Solar energy analysis in use and implementation in Mexico: a review

Miguel

Andrade

2020

IJESM

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“…As the fluid flow in Dewar tube is driven by buoyancy [39][40][41], salt usually deposit at the bottom of the tube, which worsens heat transfer. But in the all-glass straight-through evacuated tube solar collector, stronger convection promotes heat transfer, reduces heat losses and improves water quality thus eliminating the main issue of salt precipitation and weak convective heat transfer inherent in traditional Dewar-tube [37,42]. Better performance and high efficiency [36,[43][44][45] decrease the cost too.…”

Section: Application Of Ann In An Evacuated Tube Solar Collectormentioning

confidence: 99%

Application of Artificial Neural Network in Solar Energy

Du¹,

Lund²

2023

Artificial Intelligence

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Accurate prediction of system performance is very important for the optimal planning of solar energy systems. The latest research of artificial neural network (ANN) technology for predicting the efficiency of solar thermal systems and the performance of photovoltaic system is reported here. Application of ANN to performance assessment of solar collectors is briefly reviewed including novel all-glass straight-through evacuated tube collectors. An overview of the most recent work of ANN for combined photovoltaic/thermal panels (PV/T) and concentrating photovoltaic collectors is also provided.

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“…The former subcategory was generally used to give common economic information, whereas the latter subcategory evaluated the policies implemented by authorities to facilitate the purchase. By calculating the payback period [21,[32][33][34][35] and other related scales [9,36,37], financial metrics revealed that the technology is an investment with high initial costs [35,38,39]. The high purchase and installation expenditures negatively influence the adoption of these systems, leading to governmental support being the most common predictor in research.…”

Section: Economic Predictorsmentioning

confidence: 99%

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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Barriers and solutions of solar water heaters in Mexican household

Cited by 19 publications

References 13 publications

Solar energy analysis in use and implementation in Mexico: a review

Solar energy analysis in use and implementation in Mexico: a review

Application of Artificial Neural Network in Solar Energy

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

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