Cross-Commodity-Optimization with integrated Ancillary Services Optimization
The decision making complexity for utilities has increased dramatically. In contrast to rigid heat-operated dispatch, flexibilities on spot and balancing markets are exploited and fuel are purchased from the spot and forward market. Associated with this, the uncertainty of electricity, fuel, CO2 and ancillary services has to tackled as well. Thus, utilities face a multistage and branched decision making problem:
Procurement portfolio optimization of multiple fuels
Power and heating plant dispatch planning with detailed modelling on turbine/generation unit level.
Market offer optimization together for the spot, balancing and intraday market
Modeling and optimization of all thermodynamic processes
Optimal heat storage management
Consideration of district heating demand, external heat suppliers and district heating network
These distinct problems are solved in an integrated closed process - neither in a sequential nor in an iterative process. Your result is a cost minimal heat supply plan with optimal offers for the spot, intraday and balancing markets.
Exact modeling of all types of CHP plants (ramps, part-load efficiencies, multiple fuel types and fuel switches etc.)
Integrated and closed market offer optimization for spot and balancing energy markets
Flexible parameterization of the district heating network, assets and balancing energy products (specific for each frequency control area)
Special focus on short computing times for long-term investment planning analysis: Model generation and solution has been developed specificly for the cross-commodity-optimization
Cost minimal ressource management through stochastic optimization
The optimization system will be customized for our project partners' requirements
Contact us and convince yourself with a free test optimization for your generation portfolio.
Decision Trees welcomes Anukta Banerjee as its new Business Development Manager. She brings over 13 years of international experience in the energy domain and is excited to support organizations in their quest for energy optimization.