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dc.contributor.authorKöne, Aylin Çiğdem
dc.contributor.authorBüke, Tayfun
dc.date.accessioned2020-11-20T16:33:51Z
dc.date.available2020-11-20T16:33:51Z
dc.date.issued2010
dc.identifier.issn1364-0321
dc.identifier.urihttps://doi.org/10.1016/j.rser.2010.06.006
dc.identifier.urihttps://hdl.handle.net/20.500.12809/4503
dc.description0000-0002-7305-5251en_US
dc.descriptionWOS: 000282853500034en_US
dc.description.abstractThe accelerating use of fossil fuels since the Industrial Revolution and the rapid destruction of forests causes a significant increase in greenhouse gases. The increasing threat of global warming and climate change has been the major, worldwide, ongoing concern especially in the last two decades. The impacts of global warming on the world economy have been assessed intensively by researchers since the 1990s. Worldwide organizations have been attempting to reduce the adverse impacts of global warming through intergovernmental and binding agreements. Carbon dioxide (CO2) is one of the most foremost greenhouse gases in the atmosphere. The energy sector is dominated by the direct combustion of fuels, a process leading to large emissions of CO2. CO2 from energy represents about 60% of the anthropogenic greenhouse gas emissions of global emissions. This percentage varies greatly by country, due to diverse national energy structures. The top-25 emitting countries accounted 82.27% of the world CO2 emissions in 2007. In the same year China was the largest emitter and generated 20.96% of the world total. Trend analysis is based on the idea that what has happened in the past gives traders an idea of what will happen in the future. In this study, trend analysis approach has been employed for modelling to forecast of energy-related CO2 emissions. To this aim first, trends in CO2 emissions for the top-25 countries and the world total CO2 emissions during 1971-2007 are identified. On developing the regression analyses, the regression analyses with R-2 values less than 0.94 showing insignificant influence in statistical tests have been discarded. Statistically significant trends are indicated in eleven countries namely, India, South Korea, Islamic Republic of Iran, Mexico, Australia, Indonesia, Saudi Arabia, Brazil, South Africa, Taiwan, Turkey and the world total. The results obtained from the analyses showed that the models for those countries can be used for CO2 emission projections into the future planning. The calculated results for CO2 emissions from fitted curves have been compared with the projected CO2 emissions given in International Energy Outlook 2009 of U.S. Department of Energy calculated from "high economic growth case scenario", "reference case scenario" and "low economic growth case scenario" respectively. Agreements between calculated results and the projected CO2 emissions from different scenarios are in the acceptable range. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.item-language.isoengen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.item-rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCO2 Emissionsen_US
dc.subjectTrend Analysesen_US
dc.subjectForecastingen_US
dc.titleForecasting of CO2 emissions from fuel combustion using trend analysisen_US
dc.item-typereviewen_US
dc.contributor.departmentMÜ, İktisadi Ve İdari Bilimler Fakültesi, İktisat Bölümüen_US
dc.contributor.departmentMÜ, Teknoloji Fakültesi, Enerji Sistemleri Mühendisliği Bölümü
dc.contributor.institutionauthorKöne, Aylin Çiğdem
dc.contributor.institutionauthorBüke, Tayfun
dc.identifier.doi10.1016/j.rser.2010.06.006
dc.identifier.volume14en_US
dc.identifier.issue9en_US
dc.identifier.startpage2906en_US
dc.identifier.endpage2915en_US
dc.relation.journalRenewable & Sustainable Energy Reviewsen_US
dc.relation.publicationcategoryDiğeren_US


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