data availability for journal of energy policy

Published: 11-07-2020| Version 3 | DOI: 10.17632/c8fzztg59w.3
Contributor:
toni samiaji

Description

Data are fuel consumption, area of burnt areas, agricultural production, number of asphalt used, the average number of cigarettes smoked, Municipal Solid Waste production, industrial production, population, Gross Domestic Product, number of motorized vehicles, SOx or SO2 emission factors, and the sulfur content in fuel. These data were gathered from the book of "Jakarta in figure", "Environment Statistics of Indonesia", "Electricity Statistics", "Statistical Year of Indonesia", "Basic Health Research", “Energy Information Center Ministry of Energy and Mineral Resources, 2004”, “EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016”, “Handbook of energy & economic statistics of Indonesia”, the decree of general director of oil and gas of the Indonesia Republic, the web site of Downstream Regulatory Agency of Oil and Gas, the web site of Jakarta province official portal, the web site of Central Bureau of Statistics, Fifth edition of AP-42, request results data to the General Directorate of Oil and Gas of Indonesia Republic, request results data to the Jakarta Province's industry and energy department, results of data requests to Department of Highways of Jakarta of Indonesia Republic. To predict data from 2018 to 2050, the authors use data or SO2 emission as a function of time, population, or GDP. The authors calculated SO2 emission from its source by using equations in the theoretical basic section. By multiplying the rate of activity with factor emission, anyone can get SO2 emission. Here, the activity rate is fuel consumption, and so on. By plotting SO2 emission versus year, authors can know the trend of the graph.

Files

Steps to reproduce

By using a letter from the vice dean, contributor request data from the intended agency. By going to the Library of Central Bureau of Statistics, the contributor can copy the desired data. To project data going forward, we predict it as a function of time, GDP, and population. By using the equations in the basic chapter of the theory, sulfur content according to central government policy, fuel consumption in accordance with the scenario of the Jakarta Provincial government, and making a calculation program in FORTRAN 77 language, we can reduce SO2 emissions from year to year.