Simulation and measurements of wind interference on a solar chimney performance

Neves, Letícia de Oliveira; Silva, Fernando Marques da

doi:10.1016/j.jweia.2018.05.020

Cited by 30 publications

(2 citation statements)

References 23 publications

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“…however, some of these studies have matched the results of this software with experimental and empirical data and verify the results of EnergyPlus (Loutzenhiser et al, 2007;Mateus et al, 2014;Tabares-Velasco et al, 2012;Anđelković et al, 2016;Yun and Kim, 2013;Eskandari et al, 2018). By way of example, it should be mentioned that the results of the solar chimney and sunspace researches affirm high correspondence to the experimental field data (Asadi et al, 2016;Jiménez-Xamán et al, 2019;Neves and Marques da Silva, 2018;DeBlois et al, 2013b;Wang et al, 2019;Ulpiani et al, 2019;Sánchez-Ostiz et al, 2014;Rempel et al, 2016). A comprehensive explanation of the validation study and a detailed analysis of the results can be noticed in another current paper by the authors (Eskandari et al, 2018).…”

Section: Model Validationmentioning

confidence: 52%

Energy-Conservation Considerations Through a Novel Integration of Sunspace and Solar Chimney in the Terraced Rural Dwellings

Taghdisi¹,

Ghanbari²,

Eskandari³

2020

IJEEP

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In the present study, a novel passive solar system-a designed sunspace in combination with solar chimney (SS)-is implied to work out the concerns of energy requirement in the terraced rural dwellings of Iran. Renewable plans for heating need to be implemented before regarding mechanical facilities. Due to the southern orientation of most rural homes moreover, dwelling slope it is likely to use sunlight in most hours of the day. Hence, the SS system with an area of 4 m 2 on the southern side of the building is considered. The simulation was performed through the EnergyPlus software and verified by experimental data. On the basis of the results, applying the SS system in buildings can magnify the amount of heat obtained. This is a practical plan to assist in space heating in cold months. Moreover, natural night ventilation over the SS can reduce the cooling load during hot seasons. The results additionally indicate that the highest energy-saving for heating and cooling observed in January and July respectively. Lastly, the annual economic advantage of the SS system with respect to power conservation will be 14.3% accordingly the increased cost for installing the SS will be retrieved by 8 years generally.

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Section: Model Validationmentioning

confidence: 52%

Energy-Conservation Considerations Through a Novel Integration of Sunspace and Solar Chimney in the Terraced Rural Dwellings

Taghdisi¹,

Ghanbari²,

Eskandari³

2020

IJEEP

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“…Though this could lead to extended simulation intervals, by using different assumptions, quantitative and qualitative analyses of the wind effect could be performed through various simulation tools [3,4]. The building thermal analysis and the energy required to maintain occupants' thermal comfort would be affected by the impact of different simulation hypotheses [5].…”

Section: Introductionmentioning

confidence: 99%

Alternative Method to the Replication of Wind Effects into the Buildings Thermal Simulation

et al. 2020

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To design energy-efficient buildings, energy assessment programs need to be developed for determining the inside air temperature, so that thermal comfort of the occupant can be sustained. The internal temperatures could be calculated through computational fluid dynamics (CFD) analysis; however, miniscule time steps (seconds and milliseconds) are used by a long-term simulation (i.e., weeks, months) that require excessive time for computing wind effects results even for high-performance personal computers. This paper examines a new method, wherein the wind effect surrounding the buildings is integrated with the external air temperature to facilitate wind simulation in building analysis over long periods. This was done with the help of an equivalent temperature (known as Tnatural), where the convection heat loss is produced in an equal capacity by this air temperature and by the built-in wind effects. Subsequently, this new external air temperature Tnatural can be used to calculate the internal air temperature. Upon inclusion of wind effects, above 90% of the results were found to be within 0–3 °C of the perceived temperatures compared to the real data (99% for insulated cavity brick (InsCB), 91% for cavity brick (CB), 93% for insulated reverse brick veneer (InsRBV) and 94% for insulated brick veneer (InsBV) modules). However, a decline of 83–88% was observed in the results after ignoring the wind effects. Hence, the presence of wind effects holds greater importance in correct simulation of the thermal performance of the modules. Moreover, the simulation time will expectedly reduce to below 1% of the original simulation time.

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