METHODS IN FORECASTING CARBON DIOXIDE EMISSIONS: A DECADE REVIEW
DOI:
https://doi.org/10.11113/jt.v75.2603Keywords:
CO2 emissions, forecasting, emission factors, review methodsAbstract
Analyses and forecasts of carbon dioxide (CO2) emissions is one of the key requirements to educate people about the issues of clean and healthy environment. Various methods have been proposed to forecast CO2 emissions. This paper reviews the literature of the methods for the forecasting as well as estimatingCO2 emissions. Related articles appearing in the international journals from 2003 to 2013 were gathered and analysed to find the answers for these two questions: (i) Which methods were prevalently applied? (ii) Which factors were regularly been investigated? Based on the overall observations on the journal articles some improvements and possible future works are recommended. This research not only provides evidence that the artificial intelligence methods are the most favour methods, but also aids the researchers and policy makers in applying the methods effectively.Â
References
Ho, S. H., C. Y. Chen., D. J. Lee, C. S. Chang. 2001. Perspectives on Microalgal CO2-emission Mitigation Systems —A Review. Biotechnology Advances. 29: 189-198.
Nataly Echevarria Huaman, R., and T. Xiu Jun. 2014. Energy Related CO2 Emissions and the Progresson CCS Projects: A Review. Renewable and Sustainable Energy Reviews. 31: 368-385.
Sauerbek, D. R. 2001. CO2 Emissions and C Sequestration by Agriculture–perspectives and Limitations. Nutrient Cycling in Agroecosystems. 60: 253-266.
Radojević, D., V. Pocajt, I. Popović, A. Perić-Grujić, M. Ristić. 2013. Forecasting of Greenhouse Gas Emission in Serbia Using Artificial Neural Networks. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 35(8): 733-740.
Liu, P., G. Zhang, X. Cheng. 2012. Carbon Emissions Modeling of China Using Neural Network. In: Computational Sciences and Optimization (CSO), Fifth International Joint Conference. 679-682.
Yap, W. K., and V. Karri. 2012. Emissions Predictive Modelling by Investigating Various Neural Network Models. Expert System with Application. 39(3): 2421-2426.
Behrang, M. A., E. Assareh, M. R. Assari, A. Ghanbarzadeh, 2011. Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 33(19): 1747-1759.
Li, S., R. Zhou, X. Ma, 2010. The Forecast of CO2 Emissions in China based on RBF Neural Networks. In: Industrial and Information Systems (IIS), 2nd International Conference 2010. 319-322.
Sözen, A., Z. Gülseven, E. Arcaklioğlu, 2007. Forecasting based on Sectoralenergy Consumption of GHGs in Turkey and Mitigation Policies. Energy Policy. 35(12): 6491-6505.
Pao, H. T., H. C. Fu, C. L. Tseng. 2012. Forecasting of CO2 Emissions, Energy Consumption and Economic Growth in China Using an Improved Grey Model. Energy. 40(1): 400-409.
Pao, H. T., and C. M. Tsai, 2011. Modeling and Forecasting the CO2 Emissions, Energy Consumption, and Economic Growth in Brazil. Energy. 36(5): 2450-2458.
Lin, C. S., F. M. Liou, C. P. Huang, 2011. Grey Forecasting Model for CO2 Emissions: A Taiwan Study. Applied Energy. 88: 3816-3820.
Lu, I. J., C. Lewis, S. J. Lin, 2009. The Forecast of Motor Vehicle, Energy Demand and CO2 Emission from Taiwan's Road Transportation Sector. Energy Policy. 37(8): 2952-2961.
Feng, Y. Y., S. Q. Chen, L. X. Zhang. 2013. System Dynamics Modeling for Urban Energy Consumption and CO2 Emissions: A Case Study of Beijing, China. Ecological Modelling. 252: 44-52.
Zhao, J., J. Zhang, S. Jia, Q. Li, Y. Zhu, 2011. A Map Reduce Framework for On-road Mobile Fossil Fuel Combustion CO2 Emission Estimation. In: Geoinformatics, 19th International Conference 2011. 1-4.
Kean, F. W., L. Y. Fat, H. Matsumoto. 2009. Prediction of Carbon Dioxide Emissions for Rapid Growing City of Developing Country. HKIE Transactions. 16(2): 1-8.
Coelho, M. C., T. L. Farias, N. M. Rouphail. 2009. A Numerical Tool for Estimating Pollutant Emissions and Vehicles Performance in Traffic Interruptions on Urban Corridors. International Journal of Sustainable Transportation. 3(4): 246-262.
Borgen, S. K., A. Grønlund, O. Andrén, T. Kätterer, O. E. Tveito, L. R. Bakken, K. Paustian. 2009. CO2 Emissions from Cropland in Norway Estimated by IPCC Default and Tier 2 Methods. Greenhouse Gas Measurement and Management. 2(1): 5-21.
Liao, C. H., C. S. Lu, P. H. Tseng. 2012. Carbon Dioxide Emissions and Inland Container Transport in Taiwan. Journal of Transport Geography. 9: 722-728.
Olivier, J. G. J., and Peters, J. A. H. W. 2005. CO2 from Non-energy Use of Fuels: A Global, Regional and National Perspective Based on the IPCC Tier 1 Approach. Resource Conservation Recycle. 45: 210-25.
Hui, Y. L., W. Zheng, M. Xiao-zhe, Yong-bin Z. 2011. Prediction on Net Carbon Emissions of Yunnan under Emissions and Forest Carbon Sinks. In: International Conference on Computer Distributed Control and Intelligent Environmental Monitoring. 1266-1269.
Huang, R., and Wang. Z. 2011. Prediction on Shanghai's Energy Consumption Trend and Carbon Emission Peak. In: Measuring Technology and Mechatronics Automation (ICMTMA), Third International Conference 2011. 898-901.
Yongbin, Z., W. Zheng, P. Li, W. Lijuan, Z. Xiuping, 2009. Simulation on China Economy and Prediction on Energy Consumption and Carbon Emission under Optimal Growth Path, Journal of Geographical Science. 64(8): 935-944.
Huang, R., Wang, Z., Zhu, Y., Ma, X., Liu, X., Liu, C. 2011. Urban Carbon Emissions Trends and the Effect of Mitigation Measure. In: Geoinformatics, 19th International Conference 2011, 24-26 June.1-4.
Murad, M. W., and R. I. Molla, M. Mokhtar, M. A. Raquib, 2010. Climate Change and Agricultural Growth: An Examination of the Link in Malaysia. International Journal of Climate Change Strategies and Management. 2(4): 403-417
Köne, A. C., and Büke, T. 2010. Forecasting of CO2 Emissions from Fuel Combustion Using Trend Analysis. Renewable and Sustainable Energy Reviews. 14(9): 2906-2915.
Jakhrani, A. Q., A. K. Othman, A. R. H. Rigit, S. R. Samo, S. A. Kamboh. 2012. Estimation of Carbon Footprints from Diesel Generator Emissions. In: Green and Ubiquitous Technology (GUT) International Conference 2012. 78-81.
Kahforoushan, D., E. Fatehifar, J. Soltan. 2010. The Estimation of CO2 EmissionFactors for Combustion Sources in Oil and Gas Processing Plants. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 33(3): 202-210.
Mathez, A., K. Manaugh, V. Chakour, E.G. Ahmed. 2013. Marianne H. How Can We Alter Our Carbon Footprint? Estimating GHG Emissions Based on Travel Survey Information. Journal Transportation Springer US. 40(1): 131-149.
Hajji, A. M., and P. Lewis. 2013.Development of Productivity-based Estimating Tool for Energy and Air Emissions from Earthwork Construction Activities. Smart and Sustainable Built Environment. 2(1): 84-100.
Du, L., C. Wei, S. Cai. 2012. Economic Development and Carbon Dioxide Emissions in China: Provincial Panel Data Analysis. China Economic Review. 23(2): 371-384.
Meng, M., and D. Niu, 2011. Modeling CO2 Emissions from Fossil Fuel Combustion Using the Logistic Equation. Energy. 36(5): 3355-3359.
Liu, X, Z. Wang, R. Huang. 2011. Prediction on Carbon Emissions Trend in Beijing Tianjing and Hebei Province. In: Geoinformatics, 19th International Conference 2011. 1-4.
Yousefi-Sahzabi, A., K. Sasaki, H. Yousefi, S. Pirasteh, Y. Sugai. 2011. GIS Aided Prediction of CO2 Emission Dispersion from Geothermal Electricity Production. Journal of Cleaner Production. 19: 1982-1993.
Jia, X. P., C. H. Liu, Y. Qian. 2010. Carbon Emission Reduction using Pinch Analysis. In: Bioinformatics and Biomedical Engineering (iCBBE), 4th International Conference 2010. 1-4.
Wei, Q., and S. Zhao, 2010. Estimating CO2 Emission and Mitigation Opportunities of Wanzhou Shipping in Chongqing Municipality, China. In: Logistics Engineering and Intelligent Transportation Systems (LEITS), International Conference 2010. 1-4.
Wu, G. H., and C. L. Zhang. 2010. Calculation and Analysis of Carbon Emissions from Energy Consumption: Case in Jinan City. In: Industrial Engineering and Engineering Management (IE&EM), IEEE 17Th International Conference 2010. 1799-1804.
Rodrigues, J. A. P., L. B. Neto, P. H. G. Coelho. 2009. Estimating Greenhouse Gas Emissions Using Computational Intelligence. In: International Conference on Enterprise Information Systems, 11, Milan. Italy, Proceedings 2009. 248-250.
Samoilov, I. A., A. I. Nakhutin. 2009. Estimation and Medium-term Forecasting of Anthropogenic Carbon Dioxide and Methane Emission in Russia with Statistical Methods, Russian Meteorology and Hydrology. 34(6): 348-353.
Martin, W., N. Maarten, B. Kornelis, P. Martin. 2009. Non-Energy Use of Fossil Fuels and Resulting Carbon Dioxide Emissions: Bottom–Up Estimates for the World as a Whole and for Major Developing Countries, Jounal of Climatic Change. Springer Netherlands. 95: 369-394.
Wang, J., H. Z. Yang, Z. Lu. 2009. Prospect of Energy-Related Carbon Dioxide Emission in China Based on Scenario Analysis. In: International Conference on Energy and Environment Technology (ICEET). 90-93.
Dang, Y., Y. Li, R. Sun, B. Hu, T. Zhang, Y. Liu. 2009. Estimation of Carbon Dioxide Emission in Beijing City. In: Urban Remote Sensing Event, 2009 Joint. 1-6.
Li Y and J. Wang, 2008. Prediction of Ammonia and Carbon Dioxide Emissions in Simulated Food Waste Composting Processes. In: Bioinformatics and Biomedical Engineering, ICBBE 2008. The 2nd International Conference. 2904-2907.
Say, N. P., M. Yucel. 2006. Energy Consumption and CO2 Emissions in Turkey: Empirical Analysis and Future Projection Based on an Economic Growth. Energy Policy. 34: 3870-3876.
Ionescu, A., and Y. Candau. 2007. Air Pollutant Emissions Prediction by Process Modelling–Application in the Iron and Steel Industry in the Case of a Re-heating Furnace. Environmental Modeling & Software. 22(9): 1362-1371.
Sakulpitakphon, T., J. C. Hower, D. Taulbee. 2003. Predicted CO2 Emissions from Maceral Concentrates of High Volatile Bituminous Kentucky And Illinois Coals. International Journal of Coal Geology. 54(3-4): 185-192.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
