Abstract
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.
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.
Original language | English |
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Pages (from-to) | 184-191 |
Number of pages | 8 |
Journal | Applied Thermal Engineering |
Volume | 79 |
Publication status | Published - Mar 2015 |
Keywords
- Steam and power systems
- Failure
- Reliability
- Scheduling
- Uncertainty