Operational concepts

The fundamental transformation of the public energy system, with renewable energies accounting for over 50% of electricity generation, is leading to high volatility on the markets. We develop demand side management concept to leverage current market developments and exploit rising price volatility.

High volatility of market prices

The increasing share of renewable energies in the public electricity system leads to high price volatility due to the strongly fluctuating residual load. In addition, the absolute forecasting error for the generation of renewable energy is increasing despite improved forecasting quality. The result is an increased demand for flexibility on the intra-day and balancing power markets. Due to the decline in generation from thermal power plants, there is a lack of controllable generation capacity on the supply side.

Great economic potential for flexible loads

There is great market potential for flexible consumers and flexible sector-coupled energy systems. Over 100,000 €/MW in additional revenue can be generated per year. Demand Side Management can also significantly reduce emissions, as the hourly emission factors and the electricity price on the wholesale markets show a strong positive correlation.

Path to Zero combines the necessary expertise and the right tooling

Our team has spent years researching demand-side management and has implemented numerous projects for the real-time control of renewable energy systems. Based on our understanding of grid charges, short-term electricity markets and balancing power markets, we provide our clients with independent advice on identifying and evaluating demand side management potentials.

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Key references
  • We realized an industrial project for real-time control of a CHP system in response to electricity prices on the short-term energy markets
  • We developed a strategy for sequential bidding of cement mills on the day-ahead market and on the secondary balancing power market and evaluated economic potentials with the help of a stochastic analysis.
  • We developed a Model predictive control for solar thermal air conditioning system, enhanced algorithms for accelerated solution of mathematical optimization problems, and implemented it in real operation
Publications

Demand response analysis framework (DRAF): An open-source multi-objective
decision support tool for decarbonizing local multi-energy systems
M Fleschutz, M Bohlayer, M Braun, MD Murphy
Sustainability 14 (13), 8025, 2022

Experimental operation of a solar-driven climate system with thermal energy storages
using mixed-integer nonlinear MPC
A Bürger, D Bull, P Sawant, M Bohlayer, A Klotz, D Beschütz,
A Altmann-Dieses, M Braun, M Diehl
Optimal Control Applications and Methods 42 (5), 1293-1319, 2021

Enabling decentralized demand side management in industrial energy supply systems
D Bull, A Bürger, M Bohlayer, M Fleschutz, M Braun
INFORMATIK 2020 – Künstliche Intelligenz in der Umweltinformatik
Gesellschaft für Informatik, Bonn

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