Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model

Shabbir, Rabia; Ahmad, Sheikh Saeed

doi:10.1016/j.energy.2010.02.025

Cited by 149 publications

(55 citation statements)

References 4 publications

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“…Fuel consumption is marked by a meter and/or estimated by Equation (2) for thermoelectric power stations, while it is estimated by Equation (3) for vehicles [14]. …”

Section: Methodsmentioning

confidence: 99%

Carbon Dioxide Emissions from Thermal Power Plants in Cameroon: A Case Study in Dibamba Power Development Company

Tamba¹,

Koffi²,

Monkam³

et al. 2013

LCE

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This paper centres on the estimation of carbon dioxide emissions in a Cameroon thermal power plant called Dibamba Power Development Company, in such a way that they can be included as part of Cameroon energy sector inventory or used by the Dibamba Power Development Company to monitor its policy and technology improvements for mitigating climate change. We have estimated the emissions using national emission factors for the consumption of liquid fossil fuels and simulated a mitigation of these emissions till 2018 using alternative fossil fuels and carbon neutral model. The results show that energy demand and carbon dioxide emissions in 2012 are estimated to be 48.964 ktoe and 164.39 kt CO 2 respectively. National emission factors for electricity generation are estimated to be 660.63 g/kWh. From 2012 to 2018, the thermal power plant will emit into the atmosphere 1298.42 kt CO 2 . These results also show that the use of alternative fuels will reduce 59.22 kt CO 2 per year for the same period while the use of the carbon neutral model will reduce a total amount of 8.08 kt CO 2 . Finally, the total quantity of CO 2 emission reduced for the period 2012 to 2018 will be 489.91 kt CO 2 .

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“…Fuel consumption is marked by a meter and/or estimated by Equation (2) for thermoelectric power stations, while it is estimated by Equation (3) for vehicles [14]. …”

Section: Methodsmentioning

confidence: 99%

Carbon Dioxide Emissions from Thermal Power Plants in Cameroon: A Case Study in Dibamba Power Development Company

Tamba¹,

Koffi²,

Monkam³

et al. 2013

LCE

View full text Add to dashboard Cite

show abstract

“…The estimation of sector-wise transport energy demand and CO2 emissions were performed by using the longrang energy alternative planning (LEAP) model. LEAP is a computer simulation program for simulation of costs and emissions from energy consumption, production and resource extraction for long-term planning by assessing the effects: physical, economic and environmental impacts of alternative energy programs, technologies, investments and actions [12,13]. Fig 1 presents the methodology for Laos and Thailand in this study.…”

Section: Data Collection and Estimate Of Future Demandmentioning

confidence: 99%

Scenario-Based Analysis of CO2 Mitigation Potential in the Transport Sector: Comparison between Lao PDR and Thailand

Phoualavanh

Limmeechokchai

2016

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This paper presents an analysis of CO2 mitigation potential in the transport sector between Lao PDR and Thailand. The Long-rang Energy Alternative Planning (LEAP) model was used to forecast transport service demand, energy consumption and CO2 emission of two selected countries during the period from 2010-2050. In this study, a stock vehicle turnover model was developed to assess the potentials of energy saving and CO2 mitigation of policies relevant to the transport sector in Lao PDR and Thailand. For this analysis, three mitigation actions were selected, namely, 1) fuel switching, 2) advanced technology and 3) modal shift to reduce energy consumption and CO2 emissions. Results of analyses show that, in the business as usual (BAU) scenario during 2010 to 2050 for Laos, it can save 9.4% of total energy consumption in 2050 while the cumulative CO2 emissions will be reduced by 15% in 2050. For Thailand, the energy consumption in the transport sector will increase by approximately two folds. However, in CO2 countermeasure scenario, the cumulative energy savings in 2050 will be approximately 5.2% while the cumulative CO2 mitigation in 2050 will be about 14.6% when compared to the BAU scenario.

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“…The bottom-up model is a method that is used to create energy and demand projection in several works, e.g. [2], [7], [14], [15]. This method was selected for this study since it can explicitly integrate energy consumption in details for each vehicle type.…”

Section: Business As Usual (Bau) Scenariomentioning

confidence: 99%

“…LEAP simulate costs and emissions from energy consumption, production, and resource extraction for long-term planning by assessing the effects: physical, economic, and environmental impacts of alternative energy programs, technologies, investments, and actions [14,15].…”

Section: About Leapmentioning

confidence: 99%

Energy Saving and CO2 Mitigation of Electric Vehicle (EV) Technology in Lao Transport Sector

Phoualavanh¹,

Limmeechokchai²

2016

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Abstract:The high increase in number of vehicles in Lao transport sector in the medium and long-term happens due to continuous growth in transport service demand, which in turn will increase energy consumption in the transport sector. Electric vehicle (EV) technologies can inhibit increment in energy demand growth and energy-related CO2 emissions in the transport sector; however, cost remains a barrier for the technology diffusion. In this study, a stock vehicle turnover model of the passenger vehicles was developed to assess the potential of EV technology employment for energy saving and CO2 mitigation in the case of Lao PDR. Three vehicle technologies of EV were chosen to develop countermeasure scenarios. They were the battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs). The Long-rang Energy Alternative Planning (LEAP) model was used to forecast sectorwise transport demand until 2050, considering the base year as 2010. Altogether three scenarios were developed namely, the business as usual (BAU) scenario that relies on conventional internal combustion engine vehicles (ICEVs), and two alternative scenarios, namely CM-R and CM-I scenarios, targeting the penetration of (i) BEVs, (ii) HEVs, and (iii) PHEVs. In addition to the analysis of emission mitigation and energy system impacts, co-benefits of CO2 mitigation are also investigated in terms of emissions of local air pollutants under modelled scenarios. Results show that in the BAU scenario, energy consumption in the transport sector will increase from 548 ktoe in 2010 to 2,823 ktoe in 2050 while CO2 emission will increase from 1,656 kt-CO2 in 2010 to 8,511 kt-CO2 in 2050. However, in countermeasure scenarios, the high penetration of EV technologies will result in reduction of CO2 emissions when compared with the BAU scenario. In co-benefit analysis, reduction in emissions of other air pollutants was also observed.

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Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model

Cited by 149 publications

References 4 publications

Carbon Dioxide Emissions from Thermal Power Plants in Cameroon: A Case Study in Dibamba Power Development Company

Carbon Dioxide Emissions from Thermal Power Plants in Cameroon: A Case Study in Dibamba Power Development Company

Scenario-Based Analysis of CO2 Mitigation Potential in the Transport Sector: Comparison between Lao PDR and Thailand

Energy Saving and CO2 Mitigation of Electric Vehicle (EV) Technology in Lao Transport Sector

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