Idling fuel consumption and emissions of air pollutants at selected signalized intersections in Delhi
| Autor: | Rajni Dhyani, Praveen Kumar, K. Ravinder, Ch Ravisekhar, Niraj Sharma |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Renewable Energy
Sustainability and the Environment 020209 energy Strategy and Management 05 social sciences Environmental engineering Traffic mix 02 engineering and technology Industrial and Manufacturing Engineering Diesel fuel Greenhouse gas 050501 criminology 0202 electrical engineering electronic engineering information engineering Fuel efficiency Environmental science Metre Gasoline Tonne NOx 0505 law General Environmental Science |
| Zdroj: | Journal of Cleaner Production. 212:8-21 |
| ISSN: | 0959-6526 |
| DOI: | 10.1016/j.jclepro.2018.11.275 |
| Popis: | The present study was carried at eleven pre-timed signalized traffic intersections in Delhi (India) to estimate idling fuel losses and corresponding emissions. The estimates of idling fuel losses and corresponding emissions were expanded to ∼950 signalized intersections presently operational in Delhi city. In the study, idling fuel consumption tests were carried out using a fuel flow meter set-up on 341 test vehicles of different categories representing the traffic mix of Delhi. Direct greenhouse gases (viz., CO2, CH4, and N2O) and indirect greenhouse gases (viz., CO, NOx, and NMVOC) emissions were estimated using fuel-based IPCC emission factors. The results indicated that every day 9036 liters of petrol, diesel, LPG and 5461 kg of CNG losses occurred due to the idling of motor vehicles at these intersections which is equivalent to nearly 4.5million USD per year. GHG emissions (CO2, CH4, and N2O) estimated were ∼37 tonnes of CO2 eq/day. The present study highlights the methodology that can be used to estimate idling fuel losses and corresponding emission at signalized intersections. Finally, policy interventions and mitigation measures have been suggested to reduce idling emissions and corresponding emissions at these signalized intersections. |
| Databáze: | OpenAIRE |
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