Reliable and flexible steam and power system design

被引:25
|
作者
Sun, Li [1 ]
Liu, Chang [2 ]
机构
[1] Univ Manchester, Ctr Proc Integrat, Sch Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England
[2] Dalian Univ Technol, Res & Dev Ctr Membrane Sci & Technol, State Key Lab Fine Chem, Dalian 116024, Liaoning, Peoples R China
关键词
Steam and power systems; Failure; Reliability; Scheduling; Uncertainty; PROCESS UTILITY SYSTEMS; RELIABILITY EVALUATION; GENERATION CONFIGURATIONS; OPERATION OPTIMIZATION; MULTIPERIOD OPERATION; MECHANICAL DRIVER; COMBINED HEAT; PLANTS; AVAILABILITY; UNCERTAINTY;
D O I
10.1016/j.applthermaleng.2014.11.076
中图分类号
O414.1 [热力学];
学科分类号
摘要
Steam and power systems should be designed with high reliability and flexibility to satisfy process energy and power demands and reduce penalty costs due to equipment failures and steam and power demand variations. Uncertainties of equipment failure and flexible process steam and power demands have different impacts on system reliability, steam and power generation, individual equipment operation performance, and process production loss due to utility deficits. Measures adopted to respond to uncertainties implementation include compensation options of equipment operating load sharing, equipment startup, and equipment (in failure) repair, and penalties both of electricity import from the grid and production loss. This paper has proposed a procedure of the system design based on simultaneously modelling and optimizing of the structure and operation with system reliability analysis, and a mixed-integer linear programming (MILP) model is formulated associated with compensation costs and penalty costs to obtain both system configuration with spare equipment (in hot or cold standby) and spare capacities, and operating scheduling specification to account for equipment failures and process steam and power demand fluctuations. In this optimization, the effect of equipment failures on system operation performance and costs is analyzed by system reliability, and uncertain steam and power demands are formulated by a multi-period stochastic programming. A case study shows the application and effectiveness of the proposed methodology. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:184 / 191
页数:8
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