Optimization Engineering

Optimization engineering is an approach that enables reduction of project and operational costs without compromising system reliability.

In traditional design, solutions are often selected with conservative safety margins, leading to equipment overdesign and increased cost. Optimization replaces assumptions with validated engineering decisions.

Approach

Optimization is performed using a digital power system model and a full set of engineering studies.

The following aspects are considered simultaneously:

• generation
• power distribution
• loads and consumers
• related engineering systems

Each change is evaluated in the context of the entire system, not as an isolated adjustment.

Optimization principles

• System-level analysis instead of component-level decisions
• Consideration of interactions between system elements
• Focus on project drivers (CAPEX, OPEX, schedule, reliability)
• Validation under real operating conditions
• Balanced trade-off between cost and performance

When it is applied

• during feasibility and concept design stages
• during detailed engineering
• during equipment selection
• when reducing project cost is required
• when optimizing existing designs

Strengths of the approach

• CAPEX reduction by eliminating overdesign
• OPEX reduction through optimized operation
• Consideration of cross-discipline impacts
• Ability to compare alternative solutions
• Improved transparency of engineering decisions

Typical tasks

• optimization of power system configuration
• selection of optimal redundancy level
• optimization of equipment parameters
• reduction of installed capacity
• cost impact analysis
• balancing reliability and cost requirements

Positioning

We do not just design systems — we optimize them for project objectives.

The result is a technically justified balance between cost, reliability, and project schedule.