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Optimized production planning for energy management Craig, Stuart Thomas

Abstract

A large proportion of the pulp and paper industry product cost is for energy. Increases in the cost of energy have led to energy conservation and energy management in mills. Energy costs can be reduced by scheduling production in such a way that demand charges for purchased electrical power are avoided, and by loading boilers in an efficient manner. A production planning method is presented that reduces energy costs by appropriately scheduling the operation of production units. The schedules are optimized by a multi-pass, successive approximations, variation of dynamic programming. The optimization program is designed with pulp and paper mills as the target application, but it applies to other mills that can be modelled as a first order dynamic system of process units, interconnected by storage units.

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