Effect of the air-conditioning system on the fuel economy in a gasoline engine vehicle

Lee, Jungwoo; Kim, Jaeheun; Park, Jungseo; Bae, Choongsik

doi:10.1177/0954407012455973

Cited by 40 publications

(24 citation statements)

References 12 publications

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“…Enhancing fuel efficiency when driving requires drivers to anticipate the upcoming traffic or driving situations ahead in order Sustainability 2018, 10, 325 9 of 30 to optimize vehicle acceleration and braking [66]. Rolling resistance (tires > 25%) influenced fuel consumption by 3-5% [67].…”

Section: Literature Content Analysis and Synthesizementioning

confidence: 99%

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

et al. 2018

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Road transportation is the main energy consumer and major contributor of ever-increasing hazardous emissions. Transportation professionals have raised the idea of applying the green concept in various areas of transportation, including green highways, green vehicles and transit-oriented designs, to tackle the negative impact of road transportation. This research generated a new dimension called the green driver to remediate urgently the existing driving assessment models that have intensified emissions and energy consumption. In this regard, this study aimed to establish the green driver's behaviors related to fuel saving and emission reduction. The study has two phases. Phase one involves investigating the driving behaviors influencing fuel saving and emission reduction through a systematic literature review and content analysis, which identified twenty-one variables classified into four clusters. These clusters included the following: (i) FE f1 , which is driving style; (ii) FE f2 , which is driving behavior associated with vehicle transmission; (iii) FE f3 , which is driving behavior associated with road design and traffic rules; and (iv) FE f4 , which is driving behavior associated with vehicle operational characteristics. The second phase involves validating phase one findings by applying the Grounded Group Decision Making (GGDM) method. The results of GGDM have established seventeen green driving behaviors. The study conducted the Green Value (GV) analysis for each green behavior on fuel saving and emission reduction. The study found that aggressive driving (GV = 0.16) interferes with the association between fuel consumption, emission and driver's personalities. The research concludes that driver's personalities (including physical, psychological and psychosocial characteristics) have to be integrated for advanced in-vehicle driver assistance system and particularly, for green driving accreditation.

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Section: Literature Content Analysis and Synthesizementioning

confidence: 99%

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

et al. 2018

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“…50km/h) results in 25% fuel economy compared to the higher speed (i.e. 120km/h) results in 9% fuel economy (Lee et al, 2012). It is presumed that different speeds affect fuel consumption and CO2 emission.…”

Section: I) Driver's Adaptive Travel Behaviors For Personal and Physimentioning

confidence: 99%

Drivers’ adaptive travel behaviors towards green transportation development: a critical review

Shafaghat

Keyvanfar

Muslim

2016

AoT

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The transportation professionals integrated the concept Green in various dimensions of transportation, such as, green vehicle, green highway. The current study has established a new dimension to green transportation, which is called Green Driver as whom substantially contributes to less emission and fuel consumption, and higher-safety. The research established the driver’s Green Adaptive Travel Behaviors (GATB), in particular, that is referred to voluntary personal and lifestyle behaviors on less energy consumption and emission. The methodology was designed into two phases. Phase one was to investigate driver’s GATBs through systematic literature review process and content analysis method. The second phase was to verify greenery value impact (GVI) of the finalized list of drivers’ GATBs through an expert input study and Grounded Group Decision Making (GGDM) method. Total twenty six (26) GATB factors have been determined. Amongst, the factor ‘F27- Dangerous overtaking’ has received the highest value (97%) followed with ‘F3- Slow once realizing bike lanes for cyclist crossing’ (91%). In contrast, ‘F4- Realize visual Obstacles to manage the speed’ and ‘F21- Brake with smooth deceleration’ has received the lowest value (77%) among other factors. Two of the initial factors;‘F5-Use traffic calming devices’ (55%), and ‘F24- Change highest possible gear’ (69%) could not reach the 70% saturation; hence, they have been dropped from the list of GATB factors. Indeed, the GATB efforts are not limited to technology and practice; but also can include education and enforcement to driving regulations in order to interconnect driver, technology, environment, and vehicle. The research concluded with an innovative technique used as the decision support tool to evaluate the greenery grade of any individual driver on committing to less emission, less fuel consumption, and higher safety in traveling. As future study, the Green driver behaviour index assessment model will be developed based on this study outputs.

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“…Fanger's indexes were used as a start in the thermal comfort assessment and overtime several optimization and adjustments were added by researchers [6][7][8].Researchers focused their attention in direction of thermal comfort of car passengers in last decades due to increasing of personal and public number of cars. One of the main reasons was an attempt to maintain the comfort state and in the same time to reduce the overall fuel consumption [9] and as a result to reduce the greenhouse gasses and other pollutants emissions with direct impact on the urban air quality.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study of the air distribution inside a car cabin

Dancă¹,

Bode²,

Năstase³

et al. 2019

E3S Web Conf.

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The main declared goal of all car manufacturers is to ensure high comfort inside the cabin and to reduce the fossil fuel. It is well-known that the time spent by the people indoor has raised in the last decade. The distance between the home and the workplace increased due to diversity of activities and hence job diversity. The thermal comfort during the travel must to be ensured to reduce the occupant’s thermal stress. The present study is investigating a comparison between the measured data and the numerical simulation results in the case when the ventilation system is functioning. It was evaluated the effect of the boundary conditions air flow and air velocity distribution in a passenger compartment in two cases: first is the general used constant inlet flow and the second is a new approach of importing the measured data obtained during the experimental measurement session as a boundary condition.CFD simulations were made taking as input the measured data obtained during experimental session. We have observed differences between initial simulation results and the measured data, therefore, for more accurate results, a new approach is needed, to impose as boundary conditions the measured data.

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Effect of the air-conditioning system on the fuel economy in a gasoline engine vehicle

Cited by 40 publications

References 12 publications

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

Green Driver: Travel Behaviors Revisited on Fuel Saving and Less Emission

Drivers’ adaptive travel behaviors towards green transportation development: a critical review

Experimental and numerical study of the air distribution inside a car cabin

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