Modeling the technological adoption of solar energy neighborhoods: The case of Chile

Ardila, L. A.; Franco, Carlos; Cadavid, Lorena; Torres, Juan Pablo

doi:10.1016/j.jclepro.2022.132620

Cited by 2 publications

(2 citation statements)

References 49 publications

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“…The accuracy of the payback period affects the estimation of the ultimate share of DPV adoption, as the payback period is its primary input of the simplified method we have chosen. Once other economic and non-economic factors on customers’ motivations for DPV adoption are investigated further in the country context [ [62] , [63] , [64] , [65] ], the estimation of ultimate adoption shares can be improved by incorporating these multiple key factors, not only payback period.…”

Section: Discussionmentioning

confidence: 99%

Prosumer solar power and energy storage forecasting in countries with limited data: The case of Thailand

Tongsopit,

Junlakarn,

Chaianong

et al. 2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Prosumer solar power and energy storage forecasting in countries with limited data: The case of Thailand

Tongsopit,

Junlakarn,

Chaianong

et al. 2024

Heliyon

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“…A study presented by 25 used Daysim and CitySim to estimate the potential of building integrated photovoltaics (BIPV) with the level of detail (LoD) 2 model. 26 proposed a methodology to evaluate the neighborhood’s social impacts upon adopting solar panels. 27 studied the impact of street layout on the solar access and resilience of the representative hypothetical neighborhoods.…”

Section: Introductionmentioning

confidence: 99%

Solar neighborhoods: the impact of urban layout on a large-scale solar strategies application

Singh,

Hachem-Vermette,

D’Almeida

2023

Sci Rep

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The article addresses the challenges of evaluating energy performance in different neighborhood settings under various energy efficiency measures and proposes a methodology for selecting appropriate solar strategies on a neighborhood scale. The study selects five representative neighborhoods from various climatic zones with different building and street layouts. The proposed methodology involves a systematic three-step multi-domain workflow for implementing energy efficiency measures and solar strategies in the existing neighborhoods. The first step involves typical energy performance simulation, the second step involves energy simulation using high performance building envelope, and the third step involves the addition of solar strategies in combination with retrofitting materials to achieve net-zero status. The results of the study show that modifying the building envelope leads to a significant reduction in energy consumption, with up to 60% reduction observed. The study also finds that the optimal mix of solar strategies depends strongly on the type of neighborhood, its street layouts, and the type of buildings. The article highlights the importance of considering these factors when implementing solar strategies on a neighborhood scale to achieve energy efficiency and net-zero status. It provides urban planners with a systematic decision-making approach to evaluate and optimize neighborhoods to achieve net-zero energy status.

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Modeling the technological adoption of solar energy neighborhoods: The case of Chile

Cited by 2 publications

References 49 publications

Prosumer solar power and energy storage forecasting in countries with limited data: The case of Thailand

Prosumer solar power and energy storage forecasting in countries with limited data: The case of Thailand

Solar neighborhoods: the impact of urban layout on a large-scale solar strategies application

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