Modeling and Simulation of Carbon Emission Related Issues
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Beschreibung
Carbon emissions reached an all-time high in 2018, when global carbon dioxide emissions from burning fossil fuels increased by about 2.7%, after a 1.6% increase in 2017. Thus, we need to pay special attention to carbon emissions and work out possible solutions if we still want to meet the targets of the Paris climate agreement. This Special Issue collects 16 carbon emissions-related papers (including 5 that are carbon tax-related) and 4 energy-related papers using various methods or models, such as the input–output model, decoupling analysis, life cycle impact analysis (LCIA), relational analysis model, generalized Divisia index model (GDIM), forecasting model, three-indicator allocation model, mathematical programming, real options model, multiple linear regression, etc. The research studies come from China, Taiwan, Brazil, Thailand, and United States. These researches involved various industries such as agricultural industry, transportation industry, power industry, tire industry, textile industry, wave energy industry, natural gas industry, and petroleum industry. Although this Special Issue does not fully solve our concerns, it still provides abundant material for implementing energy conservation and carbon emissions reduction. However, there are still many issues regarding the problems caused by global warming that require research.
Autor*in
Wen-Hsien Tsai
Themen in »Modeling and Simulation of Carbon Emission Related Issues«
household consumption total carbon emissions CLA Model influence factor STIRPAT model carbon emissions influencing factors decoupling elasticity Generalized Divisia Index Tapio’s model household CO2 emissions (HCEs) per capita household CO2 emissions (PHCEs) input–output model refined oil distribution inventory routing problem