Close icon-close
Back icon-close
Select language
Operating cost reduction with day-ahead multi-period optimization

The challenge

Produce and distribute chilled water at a minimum cost while satisfying the highly changeable demand and variable electricity prices by leveraging the existing thermal energy storage.

Solution

  • A comprehensive model of the district energy system was developed through the VM-MPO modeling environment.
  • Typical multi-period constraints were defined to guarantee feasibility of the solution (e.g. minimum down times)
  • Forecasts of chilled water demand, cooling water return temperatures and electricity prices were included in the model via VM-MPO data source interfaces
  • VM-MPO enhanced connectivity between data sources, forecasting methods, model structure and multi-period constraints resulting in fast, accurate optimization solutions
  • Using the VM-MPO mixed integer optimization engine and working on the district energy model the optimal operation of the chillers and thermal energy storage was provided. 
     

The results

Multi-period optimization reduced operating costs on the thermal energy storage operation by $100,000 per year. Clear recommendations of the optimal chillers and thermal energy storage operation were provided.

 

Get in touch with us

Do you have a project you're interested in
working with us on?

You may also be interested in

Get the latest updates from KBC

Sign up to our newsletter to receive our latest innovations, viewpoints and be informed about any upcoming events.