Cooling-related electricity consumption patterns for small and medium businesses in California: Current impacts and future projections under climate change

Sun, Tao; Zanocco, Chad; Flora, June A.; Johnson, Samuel; Soto, Herie; Rajagopal, Ram

doi:10.1016/j.enbuild.2023.113301

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…The RCPs are selected as standard scenarios for the IPCC Fifth Assessment Report [54]. The RCPs include projections based on emissions and concentrations of greenhouse gas and land use/land cover issues [55][56][57][58]. The differences among these scenarios depend on both the increasing estimates of locations and temperature rise.…”

Section: Obtaining Climate Datamentioning

confidence: 99%

Adaptive Comfort Potential in Different Climate Zones of Ecuador Considering Global Warming

Delgado-Gutierrez,

Canivell,

Bienvenido-Huertas

et al. 2024

Energies

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Ecuador is a country with several climate zones. However, their behaviour is similar throughout the year, with no peaks of extreme temperatures in the various seasons. This paper is a first approach to study the adaptive comfort behaviour in several areas and populations of the country. Considering the ASHRAE 55-2020 model, energy simulation programmes are applied not just to the current climate scenario but also to the climate change scenarios of 2050 and 2100. The results of locations are analysed and compared to determine their performance. Thanks to their climate characteristics, adaptive comfort models could be applied as a passive strategy, using natural ventilation for building indoor comfort improvement, particularly social dwellings. According to previous studies, some prototypes have not considered the climate determinants in each region. Given the geographic situation of the study areas, the adaptive comfort model could be applied in all cases. Percentages of application of natural ventilation and heating and cooling degree hours have similar behaviours according to the climatic region, with a variation greater than 30% among them.

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Section: Obtaining Climate Datamentioning

confidence: 99%