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Optimizing global thermal coal shipments
Institution:1. Department of Mechanical Engineering, Colorado School of Mines, 1500 Illinois St., Golden, CO, United States;2. Department of Mechanical Engineering, Clemson University, 206 Fluor Daniel EIB, Clemson, SC, United States;3. RungePincockMinarco, 500 S. Union Blvd., Lakewood, CO, United States;1. School of Economics, Renmin University of China, Beijing, 100872, China;2. Institute of China''s Economic Reform & Development, Renmin University of China, Beijing, 100872, China;3. Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing, 100871, China;4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing, 100190, China;5. Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, 100190, China;6. School of Humanities and Social Science, Beijing Institute of Technology, Beijing, 100081, China;7. School of Public Administration, Central South University, Changsha, 410083, China
Abstract:Thermal coal is used to produce energy; with changing emissions standards and advents in renewable technology, the thermal coal market has seen significant transformation over the past decade. We develop a mixed-integer optimization problem that seeks to minimize shipment costs while meeting demand for thermal coal, and which respects quality constraints, supply limits, and port capacity; we use this model to analyze the following scenarios: (i) a counterfactual setting in which we compare historical shipping patterns to model results using a 2012 base year; (ii) the explicit effect of Chinese mandates on coal shipments; (iii) the impact on our shipping patterns of reduced Chinese and Indian demand; (iv) the effects of the Baltic Dry Index and oil prices; and (v) a comparison of shipments prior and subsequent to Panama Canal expansion. Our work can be used to inform policy, study responses to variable price and demand scenarios, and provide insight to both coal producers and consumers about the international coal market. For example, removal of mandates set by the Chinese government to fill its own demand decreases coal flows from Northern to Southern China by 56%, which has a spill-over effect on European and American markets; and, expansion of the Panama Canal leads to only modest shipping increases through the canal (6.7%), with more coal originating from Colombia serving Asian demand.
Keywords:Thermal coal  Blending  Commodity  Shipping  Mixed-integer programming  Underlying network structure
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