General Utility Plant Load Optimization

Challenges

  • A general utility plant generates power, produces water and steam, and supplies sea water for cooling.
  • There is no holistic approach to allocating heat and power between units, which results in higher fuel consumption and electricity costs.
  • Power and water demand change constantly, as do weather conditions, and there is no direct way to assess the economic effect of a load balancing decision.

Approach

A plant optimizer accounts for unit capacities and efficiency curves, customer demand and pipeline constraints, and computes the most cost-effective hourly load distribution.

Each unit's output flow is modeled from its input flows and unit-level constraints; balance equations are calculated for steam, power and water alongside supply and demand, and a cost function prices the required power, steam and heat.

Key features

  • Unit output modeled from input flows and unit-level constraints
  • Balance equations for steam, power and water, with supply-demand equations
  • Cost function for required power, steam and heat
  • Hourly recommendations for the most cost-effective load distribution
  • Equipment tags, gas flows, temperature, humidity and condensate data used as inputs

Impact

2.5%

Expected cost saving potential

Hourly

Load distribution recommendations

Economic effect of balancing decisions made visible

As stated in the company deck

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