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Optimal multi‐period operational planning for steam power system in petrochemical enterprise with consideration of environmental costs in China
Author(s) -
Dai Wenzhi,
Yin Hongchao,
Lam WeiHaur
Publication year - 2011
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.20394
Subject(s) - changeover , petrochemical , particle swarm optimization , depreciation (economics) , environmental economics , electricity , computer science , operations research , reliability engineering , process engineering , environmental science , waste management , engineering , economics , microeconomics , profit (economics) , telecommunications , machine learning , financial capital , capital formation , electrical engineering , transmission (telecommunications)
Steam power system (SPS) is a major source of both energy consumption and pollutants. In order to reduce the operational costs for petrochemical industry, the SPS should be operated under an optimal scheme. A SPS model is proposed to take into account the depreciation of equipments, changeover costs, and environmental costs. By applying an improved particle swarm optimisation (PSO) algorithm, the optimal operation scheme has been obtained. One example has been investigated to compare the different units and fuel selection in SPS and also the operation periods of SPS taking in account the power import/export policy and environmental cost.