Modeling and Simulation of Carbon Emission Related Issues

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...

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Autor principal: Tsai, Wen-Hsien
Formato: Online
Lenguaje:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2021
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Acceso en línea:42487
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author Tsai, Wen-Hsien
author_browse Tsai, Wen-Hsien
author_facet Tsai, Wen-Hsien
author_sort Tsai, Wen-Hsien
collection Directory of Open Access Books
description 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.
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spelling doab-20.500.12854ir-536892023-12-20T15:53:56Z Modeling and Simulation of Carbon Emission Related Issues Tsai, Wen-Hsien HD72-88 shale gas n/a Tapio’s model 1)) tea VARIMAX-ECM model wave energy converter error correction mechanism model low-carbon agriculture hybrid ship power systems greenhouse gas emissions STIRPAT model textile industry carbon tax refined oil distribution pushback control takeoff rate economic growth generalized regression neural network (GRNN) Industry 4.0 HOMER software population growth Markov forecasting model household consumption life cycle assessment green quality management agricultural-related sectors non-energy uses of fossil fuels investment under uncertainty CO2 emissions forecasting decoupling analysis CO2 emissions quotas allocation carbon price fluctuation final energy consumption ethylene supply household CO2 emissions (HCEs) green transportation Li-ion battery Activity-Based Costing (ABC) decoupling elasticity causal factors renewable energy per capita household CO2 emissions (PHCEs) shipping input–output model carbon intensity target climate change Monte Carlo method CLA Model energy intensity total carbon emissions mathematical programming sustainable development Generalized Divisia Index carbon trading influence factor tire industry socio-economic scenarios hybrid genetic algorithm economic growth and the environment non-linear programming environmental impact capacity expansion product-mix decision model influencing factors scenario forecast energy structure China carbon emissions inventory routing problem green manufacturing fairness power industry activity-based costing (ABC) aircraft electric power industry taxi time real options analysis carbon footprint LT-ARIMAXS model carbon intensity gray model (GM (1 reducing carbon emissions sustainable agriculture long-term bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies 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. 2021-02-11T19:54:06Z 2021-02-11T19:54:06Z 2019-12-09 11:49:15 2019 book 42487 9783039213122 9783039213115 https://directory.doabooks.org/handle/20.500.12854/53689 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1501 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-312-2 10.3390/books978-3-03921-312-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039213122 9783039213115 420 open access
spellingShingle HD72-88
shale gas
n/a
Tapio’s model
1))
tea
VARIMAX-ECM model
wave energy converter
error correction mechanism model
low-carbon agriculture
hybrid ship power systems
greenhouse gas emissions
STIRPAT model
textile industry
carbon tax
refined oil distribution
pushback control
takeoff rate
economic growth
generalized regression neural network (GRNN)
Industry 4.0
HOMER software
population growth
Markov forecasting model
household consumption
life cycle assessment
green quality management
agricultural-related sectors
non-energy uses of fossil fuels
investment under uncertainty
CO2 emissions forecasting
decoupling analysis
CO2 emissions
quotas allocation
carbon price fluctuation
final energy consumption
ethylene supply
household CO2 emissions (HCEs)
green transportation
Li-ion battery
Activity-Based Costing (ABC)
decoupling elasticity
causal factors
renewable energy
per capita household CO2 emissions (PHCEs)
shipping
input–output model
carbon intensity target
climate change
Monte Carlo method
CLA Model
energy intensity
total carbon emissions
mathematical programming
sustainable development
Generalized Divisia Index
carbon trading
influence factor
tire industry
socio-economic scenarios
hybrid genetic algorithm
economic growth and the environment
non-linear programming
environmental impact
capacity expansion
product-mix decision model
influencing factors
scenario forecast
energy structure
China
carbon emissions
inventory routing problem
green manufacturing
fairness
power industry
activity-based costing (ABC)
aircraft
electric power industry
taxi time
real options analysis
carbon footprint
LT-ARIMAXS model
carbon intensity
gray model (GM (1
reducing carbon emissions
sustainable agriculture
long-term
bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
Tsai, Wen-Hsien
Modeling and Simulation of Carbon Emission Related Issues
title Modeling and Simulation of Carbon Emission Related Issues
title_full Modeling and Simulation of Carbon Emission Related Issues
title_fullStr Modeling and Simulation of Carbon Emission Related Issues
title_full_unstemmed Modeling and Simulation of Carbon Emission Related Issues
title_short Modeling and Simulation of Carbon Emission Related Issues
title_sort modeling and simulation of carbon emission related issues
topic HD72-88
shale gas
n/a
Tapio’s model
1))
tea
VARIMAX-ECM model
wave energy converter
error correction mechanism model
low-carbon agriculture
hybrid ship power systems
greenhouse gas emissions
STIRPAT model
textile industry
carbon tax
refined oil distribution
pushback control
takeoff rate
economic growth
generalized regression neural network (GRNN)
Industry 4.0
HOMER software
population growth
Markov forecasting model
household consumption
life cycle assessment
green quality management
agricultural-related sectors
non-energy uses of fossil fuels
investment under uncertainty
CO2 emissions forecasting
decoupling analysis
CO2 emissions
quotas allocation
carbon price fluctuation
final energy consumption
ethylene supply
household CO2 emissions (HCEs)
green transportation
Li-ion battery
Activity-Based Costing (ABC)
decoupling elasticity
causal factors
renewable energy
per capita household CO2 emissions (PHCEs)
shipping
input–output model
carbon intensity target
climate change
Monte Carlo method
CLA Model
energy intensity
total carbon emissions
mathematical programming
sustainable development
Generalized Divisia Index
carbon trading
influence factor
tire industry
socio-economic scenarios
hybrid genetic algorithm
economic growth and the environment
non-linear programming
environmental impact
capacity expansion
product-mix decision model
influencing factors
scenario forecast
energy structure
China
carbon emissions
inventory routing problem
green manufacturing
fairness
power industry
activity-based costing (ABC)
aircraft
electric power industry
taxi time
real options analysis
carbon footprint
LT-ARIMAXS model
carbon intensity
gray model (GM (1
reducing carbon emissions
sustainable agriculture
long-term
bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
topic_facet HD72-88
shale gas
n/a
Tapio’s model
1))
tea
VARIMAX-ECM model
wave energy converter
error correction mechanism model
low-carbon agriculture
hybrid ship power systems
greenhouse gas emissions
STIRPAT model
textile industry
carbon tax
refined oil distribution
pushback control
takeoff rate
economic growth
generalized regression neural network (GRNN)
Industry 4.0
HOMER software
population growth
Markov forecasting model
household consumption
life cycle assessment
green quality management
agricultural-related sectors
non-energy uses of fossil fuels
investment under uncertainty
CO2 emissions forecasting
decoupling analysis
CO2 emissions
quotas allocation
carbon price fluctuation
final energy consumption
ethylene supply
household CO2 emissions (HCEs)
green transportation
Li-ion battery
Activity-Based Costing (ABC)
decoupling elasticity
causal factors
renewable energy
per capita household CO2 emissions (PHCEs)
shipping
input–output model
carbon intensity target
climate change
Monte Carlo method
CLA Model
energy intensity
total carbon emissions
mathematical programming
sustainable development
Generalized Divisia Index
carbon trading
influence factor
tire industry
socio-economic scenarios
hybrid genetic algorithm
economic growth and the environment
non-linear programming
environmental impact
capacity expansion
product-mix decision model
influencing factors
scenario forecast
energy structure
China
carbon emissions
inventory routing problem
green manufacturing
fairness
power industry
activity-based costing (ABC)
aircraft
electric power industry
taxi time
real options analysis
carbon footprint
LT-ARIMAXS model
carbon intensity
gray model (GM (1
reducing carbon emissions
sustainable agriculture
long-term
bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCM Development economics & emerging economies
url 42487
work_keys_str_mv AT tsaiwenhsien modelingandsimulationofcarbonemissionrelatedissues