Optimization System Increases Profitability of Southern Mississippi Electric Power Association
公司规模
1,000+
地区
- America
国家
- United States
产品
- SimSci-Esscor Connoisseur Online Optimization
技术栈
- Model Predictive Control
- Neural Network Based controller
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Environmental Impact Reduction
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 公用事业
适用功能
- 离散制造
- 维护
用例
- 能源管理系统
- 预测性维护
服务
- 系统集成
关于客户
The Southern Mississippi Electric Power Association (SMEPA) is a power generation company based in Hattiesburg, Mississippi. They operate the R.D. Morrow Generating Station, which utilizes two parallel boiler-turbine units with a capacity of 204 MW at 2400 psig. The Riley Stoker Corporation manufactures each steam generator unit. Each has a turbo-furnace design with balanced draft operation, and is front and rear fired. Nominal steam conditions at HP turbine inlet are 2400 psig at 1005 DEGF and 1000 DEGF at the IP turbine inlet. Maximum continuous steam rate is 1,575,000 lhs/hr. The fuel is pulverized coal from three Riley doubleend ball tube mills fed by six Stock Gravimetric feeders.
挑战
The Southern Mississippi Electric Power Association (SMEPA) was facing a challenge of improving the heat rate and boiler efficiency while maintaining low NOx emissions at their R.D. Morrow Generating Station. The station utilizes two parallel boiler-turbine units with a capacity of 204 MW at 2400 psig. The fuel is pulverized coal from three Riley doubleend ball tube mills fed by six Stock Gravimetric feeders. The objective was to determine the most profitable operating point for the boiler and mills, as defined by a set of values for the controlled and manipulated variables in the process model.
解决方案
SMEPA implemented the Model Predictive and Neural Network Based controller, Connoisseur™ to improve efficiency at their Hattiesburg station. Both furnace and ball mill controls were optimized with coordinated multivariable control. Heat rate improvements were achieved through reduced dry gas losses and lower loss-on-ignition (LOI). In addition, the improved mill regulation increased maximum generation capability, particularly for lower grade coal. An Expert System Soot Blower Advisory supplements the heat rate benefits of applying Connoisseur™ by suggesting which blower to activate in order to maximize heat transfer area in the furnace. Ball mill optimization improves the grind in the mill, lowers LOI and improves the mill’s impact on the energy efficiency of the furnace.
运营影响
数量效益
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