2019
DOI: 10.1080/15567249.2019.1595224
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Utilizing demand-side management as tool for promoting solar water heaters in countries where electricity is highly subsidized

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Cited by 10 publications
(8 citation statements)
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References 21 publications
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“…The Polysun simulation software has a user-friendly graphical user interface and the ability to layout building-specific devices. As a result, all system parameters may be quickly and clearly entered, enabling the design of new energy systems as well as the study of existing ones [8].…”
Section: Simulationmentioning
confidence: 99%
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“…The Polysun simulation software has a user-friendly graphical user interface and the ability to layout building-specific devices. As a result, all system parameters may be quickly and clearly entered, enabling the design of new energy systems as well as the study of existing ones [8].…”
Section: Simulationmentioning
confidence: 99%
“…The winter peak load is estimated to be reduced by 54 MW if this project is successfully launched. According to the author's study, the project seems to have a net present value of $776.6 million [8].…”
Section: Introductionmentioning
confidence: 99%
“…This analysis adds a significant benefit for the optimal running of integrated energy system 15 . High subsidy is said to have been provided by the government for promoting the DSM‐applied solar water heater systems 16 …”
Section: Introductionmentioning
confidence: 99%
“…For the households, the application of DR strategies has been investigated by researchers to schedule the operation of: space heating systems [15], electric water heating systems [16], heat pumps [17], photovoltaics-battery systems [18], wind energy generation [19], solar hot water systems [20], washing machines, and dishwashers [21]. Various approaches have been used for modelling such as the Markovian model [22], game theory [23], the home energy management system (HEMS) model [24], mixed integer linear programing [25] and the ant colony optimisation algorithm [26].…”
Section: Introductionmentioning
confidence: 99%