Siemens Energy Pushes Fleet Optimization Over Single-Asset

Utilities and independent power producers are shifting from simply monitoring power plants to using automated systems that dictate operational decisions. Sarah Dietrich-Smith, Siemens Energy's commercialization manager, explained this move on The POWER Podcast, stating monitoring shows what is happening while energy management dictates what should happen next to achieve measurable business outcomes.

Katie Hanley, head of the Omnivise Energy Market and Fleet Management Solutions team, framed the core question as one of optimized economics. Given a plant's generation commitments, gas hedging, and market access, the system determines the best way to run a plant or an entire fleet.

From Single Assets to Whole Fleets

Historically, assets were managed in isolation with a focus on individual performance. Dietrich-Smith said the new approach is fleet optimization. This mindset helps operators allocate flexibility, manage risk, and optimize commercial performance across a full portfolio, especially when plants face different regional prices or curtailment risks.

She challenged the notion that efficiency gains are the sole value. Customers also benefit from fewer penalties, more effective market participation, and faster responses to changing conditions. "Time is money," she summarized.

Renewables Complicate the Math

Hanley said increasing renewable penetration adds fleet-level complexity, whether a company operates a hybrid portfolio or competes in a market with more renewables. The distinction between dispatchable and non-dispatchable generation becomes critical as grid stability grows harder to maintain.

Predicting instability requires analyzing weather and market data, from cloud cover to real-time electricity prices. For hybrid sites with batteries, this data informs decisions on when to charge from onsite generation or the grid and when to discharge. Hanley noted batteries create dispatchable flexibility, with customers increasingly choosing between a battery discharge and ramping up a plant based on the best immediate economic call.

Data Centers Raise the Stakes

For data centers, the primary objective is ensuring generation capacity is always available to meet demand, regardless of grid connection. Hanley said energy management continuously monitors asset performance, so any interruption triggers an immediate new dispatch plan. "It's really impossible to think about data centers without thinking about Energy Management," she noted.

A Workforce Bridge, Not only a Software Layer

Beyond technical gains, Dietrich-Smith highlighted energy management as a solution for organizational friction caused by retiring workforces and divided operations and planning teams. She said the system captures repeatable expert logic, automates analysis, highlights decisions needing human judgment, and build seamless teamwork between departments.

Hanley said customers typically see returns within a year from reduced fuel costs, better-monetized excess capacity, penalty avoidance, and less manual coordination. The adoption challenge is often about building trust in the system's recommendations, not learning the software.

Equipment Heritage as a Differentiator

Looking ahead, Dietrich-Smith predicted increased autonomy through AI and advanced forecasting, balanced by a focus on safety and human oversight. She argued Siemens Energy's deep equipment knowledge, rooted in decades as a turbine manufacturer, sets it apart from AI-native software competitors. This heritage allows the company to account for real operating constraints and degradation and to turn optimization recommendations into dependable actions within plant controls.

Hanley concluded by advising listeners to contact the company as energy systems grow more complex.