Economic Modeling and Pricing
We support data centre developers and energy infrastructure teams by building clear, defensible economic models that guide investment decisions, shape commercial structures, and support long-term operational planning. Our approach balances technical feasibility with financial performance, ensuring projects are cost-effective, scalable, and aligned with evolving power demands.
Our models help quantify total cost of ownership, compare generation technologies, structure pricing agreements, and evaluate the impact of carbon strategies, backup requirements, and interconnection costs. For digital infrastructure clients, the economics of energy delivery must be as precise as the power itself.
How We Help You Deliver with Confidence
Capital and Lifecycle Cost Modeling
We develop detailed cost models from early-stage estimates through fully itemized project budgets. Our models account for engineering, procurement, construction, commissioning, fuel supply, interconnection, and long-term operations. These tools allow stakeholders to weigh capital investment against lifecycle cost and system reliability.
Energy Pricing and Tariff Structures
We help structure energy pricing strategies that align with data centre load profiles, uptime requirements, and ESG goals. This includes cost-plus models, fixed and indexed pricing, capacity reservation structures, and time-of-use considerations. Where appropriate, we support power purchase agreement modeling and behind-the-fence asset pricing.
Scenario and Sensitivity Analysis
Our models include full sensitivity ranges to evaluate how changes in fuel price, capital cost, load growth, carbon policy, or regulatory shifts impact the business case. We support go-no-go decisions, investor underwriting, and partnership negotiations with transparent, auditable assumptions.
Technology and Configuration Comparisons
We provide side-by-side economic assessments of different generation technologies, including engine-based CHP, gas turbines, battery energy storage, and hybrid renewables. This allows clients to select solutions based on lifecycle cost per MWh, thermal utilization, emissions intensity, and resiliency.
Carbon and ESG Integration
We model carbon intensity, offset requirements, and renewable energy pathways as part of the pricing strategy. This includes the impact of future carbon pricing, fuel switching scenarios, and grid decarbonization targets on long-term cost competitiveness.
Revenue and Dispatch Optimization
For assets participating in the grid or operating under economic dispatch, we model potential revenue streams, dispatch strategies, and operational margins. This supports merchant risk assessment, revenue stacking, and optimization of runtime hours versus asset wear.