Monitoring Transportation, Air Pollution and Energy Demand in the Philippines Using LEAP

This research is conducted to assess the present situation of energy demand and emission of air pollutants from road transportation sector in the Philippines along with the future forecasting of the environmental impacts from transportation sector. According to the published reports of the Department of Energy of the Philippines, transportation have the most energy-intensive sector amongst the sectors, which will account for the largest share in the country’s final energy demand registering an average of 34.5 percent. Hence, the past trend of energy consumption and emissions are applied in order to predict the future pattern. In addition, a model of transportation system using computer based software called “Long Range Energy Alternatives Planning (LEAP)” has been developed together with the associated Environmental Database (EDB) model. The framework of calculation utilized official transportation database, fuel consumption of certain vehicle type and corresponding emission of each vehicle type. The base scenario called as Business -As- Usual (BAU) is surveyed and other different alternative scenarios are presented and discussed. The model is run under the database of 2001 as the base year and extrapolated until 2030 to predict the impact of transportation. The main objective of this study is to achieve an optimal transportation policy which contributes in decline of energy demand as well as air pollution in the Philippines.Copyright © 2011 by ASME

[1]  C. Wang,et al.  Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020 , 2008 .

[2]  Mutasem El-Fadel,et al.  Mitigating energy-related GHG emissions through renewable energy , 2003 .

[3]  Md. Alam Hossain Mondal,et al.  Future demand scenarios of Bangladesh power sector , 2010 .

[4]  R Schuman,et al.  TRANSPORTATION PERFORMANCE MEASURES AND DATA , 2002 .

[5]  Aumnad Phdungsilp Integrated energy and carbon modeling with a decision support system: Policy scenarios for low-carbon city development in Bangkok , 2010 .

[6]  Ho Jun Song,et al.  Implication of CO2 capture technologies options in electricity generation in Korea , 2008 .

[7]  Graham. Parkhurst,et al.  Park and ride: Could it lead to an increase in car traffic? , 1995 .

[8]  Shobhakar Dhakal,et al.  Implications of transportation policies on energy and environment in Kathmandu Valley, Nepal , 2003 .

[9]  Zissis Samaras,et al.  METHODOLOGY FOR CALCULATING TRANSPORT EMISSIONS AND ENERGY CONSUMPTION , 1999 .

[10]  Wilfredo C. Flores,et al.  Sustainable energy policy in Honduras: Diagnosis and challenges , 2011 .

[11]  R. Bose,et al.  Automotive energy use and emissions control: a simulation model to analyse transport strategies for Indian metropolises , 1998 .

[12]  Hamid Davoudpour,et al.  The potential for greenhouse gases mitigation in household sector of Iran: cases of price reform/efficiency improvement and scenario for 2000–2010 , 2006 .

[13]  Grigoris K. Papagiannis,et al.  Economic and environmental impacts from the implementation of an intelligent demand side management system at the European level , 2008 .

[14]  Lili Zhang,et al.  Fuel consumption from vehicles of China until 2030 in energy scenarios , 2010 .

[15]  Y. Mulugetta,et al.  Power sector scenarios for Thailand: An exploratory analysis 2002-2022 , 2007 .

[16]  Karl N. Vergel,et al.  ASSESSMENT OF INTEGRATED ENVIRONMENTAL STRATEGIES FOR METRO MANILA , 2005 .

[17]  Ho-Chul Shin,et al.  Environmental and economic assessment of landfill gas electricity generation in Korea using LEAP model , 2005 .

[18]  H. P. Garg,et al.  Energy-related emissions and mitigation opportunities from the household sector in Delhi , 2007 .

[19]  Ho Jun Song,et al.  Environmental and economic assessment of the chemical absorption process in Korea using the LEAP model , 2007 .

[20]  Vladimir A. Karamychev,et al.  Park-and-ride: Good for the city, good for the region? , 2011 .

[21]  Jorge Islas,et al.  A prospective study of bioenergy use in Mexico , 2007 .

[22]  Graham. Parkhurst,et al.  Influence of bus-based park and ride facilities on users’ car traffic , 2000 .

[23]  Alun Gu,et al.  Recent development of energy supply and demand in China, and energy sector prospects through 2030 , 2011 .

[24]  Rabia Shabbir,et al.  Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model , 2010 .

[25]  Curtis D. Klaassen,et al.  Casarett and Doull's Toxicology. The Basic Science of Poisons , 1981 .

[26]  Theocharis Tsoutsos,et al.  Sustainable power planning for the island of Crete , 2009 .

[27]  Wei Wang,et al.  Evaluating the effectiveness of urban energy conservation and GHG mitigation measures: The case of Xiamen city, China , 2010 .

[28]  S. Mustonen Rural energy survey and scenario analysis of village energy consumption: A case study in Lao People’s Democratic Republic , 2010 .

[29]  C. Wang,et al.  Scenario analysis on CO2 emissions reduction potential in China's electricity sector , 2007 .

[30]  Wei Ming Huang,et al.  GHG legislation: Lessons from Taiwan , 2009 .

[31]  R. Bose ENERGY DEMAND AND ENVIRONMENTAL IMPLICATIONS IN URBAN TRANSPORT - CASE OF DELHI , 1996 .

[32]  J. Koomey,et al.  Using energy scenarios to explore alternative energy pathways in California , 2005 .