Potential of solar reflective cover on regulating the car cabin conditions and fuel consumption

Lahimer, A. A.; Alghoul, M. A.; Sopian, Kamaruzzaman; Khrit, N. G.

doi:10.1016/j.applthermaleng.2018.07.020

Cited by 18 publications

(8 citation statements)

References 17 publications

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“…Additionally, a thermal analysis of the vehicle’s cabin space can be used for forensic purposes and the effect of various levels of temperature has on the human body (Dadour et al., 2011). Other thermal analyses investigate the use of glazing covering or glazing alterations to mitigate heat build-up in the vehicle’s cabin space to reduce cooling requirements (Al-Kayiem et al., 2010; Chakroun and Al-Fahed, 1997; Jasni and Nasir, 2012; Lahimer et al., 2018; Srisilpsophon et al., 2007).…”

Section: Introductionmentioning

confidence: 99%

Energy consumption and modelling of the climate control system in the electric vehicle

Doyle

Muneer

2018

Energy Exploration & Exploitation

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With the introduction of electric vehicles in the automobile market, limited information is available on how the battery's energy consumption is distributed. This paper focuses on the energy consumption of the vehicle when the heating and cooling system is in operation. On average, 18 and 14% for the battery's energy capacity is allocated to heating and cooling requirements, respectively. The conventional internal combustion engine vehicle uses waste heat from its engine to provide for passenger thermal requirements at no cost to the vehicle's propulsion energy demands. However, the electric vehicle cannot avail of this luxury to recycle waste heat. In order to reduce the energy consumed by the climate control system, an analysis of the temperature profile of a vehicle's cabin space under various weather conditions is required. The present study presents a temperature predicting algorithm to predict temperature under various weather conditions. Previous studies have limited consideration to the fluctuation of solar radiation space heating to a vehicle's cabin space. This model predicts solar space heating with a mean bias error and root mean square error of 0.26 and 0.57 C, respectively. This temperature predicting model can potentially be developed with further research to predict the energy required by the vehicle's primary lithium-ion battery to heat and cool the vehicle's cabin space. Thus, this model may be used in a route planning application to reduce range anxiety when drivers undertake a journey under various ambient weather conditions while optimising the energy consumption of the electric vehicle.

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Section: Introductionmentioning

confidence: 99%

Energy consumption and modelling of the climate control system in the electric vehicle

Doyle

Muneer

2018

Energy Exploration & Exploitation

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“…Due to the uniform temperature distribution, the airflow cycles are driven by buoyant force, creating the natural convection in the cabin. The scorching air is trapped inside the cabin due to the lack of openings, resulting in the greenhouse effect [56]. In this study, the simulation was based on the city of Hangzhou (118°21′-120°30′E, 29°11′-30°33′N), the capital of Zhejiang Province located along Southeast coast of China, characterized by long and hot summers.…”

Section: Model Validation and Discussionmentioning

confidence: 99%

Modeling In-Vehicle VOCs Distribution from Cabin Interior Surfaces under Solar Radiation

Tong

Líu

2020

Sustainability

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In-vehicle air pollution has become a public health priority worldwide, especially for volatile organic compounds (VOCs) emitted from the vehicle interiors. Although existing literature shows VOCs emission is temperature-dependent, the impact of solar radiation on VOCs distribution in enclosed cabin space is not well understood. Here we made an early effort to investigate the VOCs levels in vehicle microenvironments using numerical modeling. We evaluated the model performance using a number of turbulence and radiation model combinations to predict heat transfer coupled with natural convection, heat conduction and radiation with a laboratory airship. The Shear–Stress Transport (SST) k-ω model, Surface-to-surface (S2S) model and solar load model were employed to investigate the thermal environment of a closed automobile cabin under solar radiation in the summer. A VOCs emission model was employed to simulate the spatial distribution of VOCs. Our finding shows that solar radiation plays a critical role in determining the temperature distribution in the cabin, which can increase by 30 °C for directly exposed cabin surfaces and 10 °C for shaded ones, respectively. Ignoring the thermal radiation reduced the accuracy of temperature and airflow prediction. Due to the strong temperature dependence, the hotter interiors such as the dashboard and rear board released more VOCs per unit time and area. A VOC plume rose from the interior sources as a result of the thermal buoyancy flow. A total of 19 mg of VOCs was released from the interiors within two simulated hours from 10:00 am to noon. The findings, such as modeled spatial distributions of VOCs, provide a key reference to automakers, who are paying increasing attention to cabin environment and the health of drivers and passengers.

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“…Transparent parts in cars are essential for safety, maneuverability and view to outside. However, the accumulation of solar heat gains that reaches the cabin through the windows of parked cars, also plays a dominant role in determining the cooling loads for an automobile air conditioning system (Lahimer et al, 2018) (Sullivan & Selkowitz, 1988). The implementation of spectrally selective glazing in vehicle windows aims at reducing the amount of solar heat gains that enters the vehicle, without compromising vision.…”

Section: Spectrally Selective Glazingmentioning

confidence: 99%

Computational performance analysis of overheating mitigation measures in parked vehicles

et al. 2018

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Potential of solar reflective cover on regulating the car cabin conditions and fuel consumption

Cited by 18 publications

References 17 publications

Energy consumption and modelling of the climate control system in the electric vehicle

Energy consumption and modelling of the climate control system in the electric vehicle

Modeling In-Vehicle VOCs Distribution from Cabin Interior Surfaces under Solar Radiation

Computational performance analysis of overheating mitigation measures in parked vehicles

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