Strategize the energy transition with data-driven precision: OptiMES generates an optimal investment roadmap by balancing costs, capacity, and decarbonization targets within a comprehensive, integrated optimization framework.
Business problem
Managing the energy transition requires long-term decision-making regarding asset lifecycle, including commissioning and decommissioning, while balancing emissions objectives and network reliability. Traditional siloed methodologies often introduce cumulative inefficiencies.
OptiMES resolves these complexities through a single, integrated optimization model.
Our solution
OptiMES simultaneously optimizes capacity expansion and multi-energy dispatching across multi-year horizons. The platform models both electricity and heat networks, evaluates alternative scenarios under varying emissions constraints, and produces a strategic investment roadmap complete with Net Present Value (NPV) analysis and CO₂ reduction trajectories.
How it works
OptiMES functions through a three-phase process: input acquisition, integrated optimization, and output generation.
Input: Integration of network parameters, renewable resource availability, generation technologies, demand forecasts, capital investment parameters, and emissions trajectories.
Optimization: Concurrent optimization of hourly multi-energy dispatching and long-term asset lifecycle planning, ensuring compliance with energy balance requirements, DC Power Flow constraints, and CO₂ targets.
Output: Delivery of an optimal investment roadmap, NPV analysis, and projected emissions reduction outcomes.
Benefits
Data-driven decarbonization roadmap, ensuring alignment with regulatory standards over multi-year horizons.
Simultaneous optimization of capacity expansion and operational dispatching with integrated NPV calculation.
Rapid scenario analysis, enabling the evaluation of diverse technology mixes and constraint frameworks.
Significant enhancement in analytical efficiency compared to legacy methodologies.
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