SIEMENS ENERGY
producers also have the challenge to sell their energy most profitable . Every day , they have an increasingly complicated decision to make : How can I plan the dispatch of my assets to satisfy market demand , but in the most beneficial way ?”
For dispatchers with combined-cycle power plants this question is challenging . The introduction of renewables like solar and wind can create wider fluctuations in demand for dispatchable energy from traditional power producers .
“ When solar and wind are available , they are prioritised on the grid ,” Rossetti explains . “ This situation leads to shorter market intervals for power generated by fossil-fueled plants . These dispatchers now must access and understand weather data to know when neither wind nor solar will be available , and they will need to fill the generation gap in a cost-efficient way .”
Aimed at solving this problem , Siemens Energy ’ s Omnivise Energy Management solution combines the power of AI-driven forecasting and predictive asset models . “ With Omnivise Energy Management our customers are able to do rapid multidimensional or multi-branch scenario simulations and create day-ahead and short-term future generations plans that are economically optimised to the plant ’ s circumstances ,” Rossetti says .
Ensuring the safety and security of control systems and customer data As part of critical infrastructure , plants in the energy market must fulfil more stringent requirements than ever before . With the risk of cyber-attacks , this means looking beyond operational concerns and protecting plants against hacker attacks – and documenting compliance according to a wide range of legal requirements . energydigital . com 121