Optimization of energy supply systems by MILP branch and bound method in consideration of hierarchical relationship between design and operation

Abstract

13To attain the highest performance of energy supply systems, it is necessary to 14 rationally determine types, capacities, and numbers of equipment in consideration of 15 their operational strategies corresponding to seasonal and hourly variations in energy 16 demands. In the combinatorial optimization method based on the mixed-integer linear 17 programming (MILP), integer variables are used to express the selection, numbers, and 18 on/off status of operation of equipment, and the number of these variables increases 19 with those of equipment and periods for variations in energy demands, and affects the 20 computation efficiency significantly. In this paper, a MILP method utilizing the 21 hierarchical relationship between design and operation variables is proposed to solve the

Thermo-economic comparison of hydrogen and hydro-methane produced from hydroelectric energy for land transportation

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Enterprise-wide optimization in a petrochemical plant: a MILP approach to energy efficiency improvement

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State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

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