Demand and capacity
Test normal, peak, degraded, and recovery conditions against capacity, redundancy, storage, lead time, and operating flexibility.
Energy & infrastructure
We support decisions where technical performance, capital, operating risk, regulation, and long time horizons intersect.
Infrastructure planning
A durable plan does not depend on one forecast. It identifies actions that work across several futures, preserves options where uncertainty remains material, and ties later commitments to observable evidence.
Test normal, peak, degraded, and recovery conditions against capacity, redundancy, storage, lead time, and operating flexibility.
Translate heat, water, weather, terrain, emissions, and resource dependencies into measurable design and operating boundaries.
Separate no-regret actions from irreversible commitments, then define the evidence required at each decision gate.
Decision situations
We support owners and decision-makers where technical systems, environmental conditions, capital timing, and public consequences must be considered together.
Which combination of assets, upgrades, technologies, or operating changes best meets the objective?
Compare credible pathways across capacity, reliability, cost, schedule, emissions, land or resource needs, and uncertainty.
Can the system meet changing loads under normal, peak, degraded, and recovery conditions?
Model demand, capacity, redundancy, storage, degradation, constraints, and operating flexibility.
When should an aging asset be maintained, upgraded, replaced, or retired?
Expose lifecycle cost, condition, failure consequence, downtime, optionality, and the cost of waiting.
How do heat, water, weather, terrain, interdependencies, or resource limits change the decision?
Translate environmental scenarios into asset-level vulnerabilities, adaptations, and phased investment choices.
Engagement outputs
We create an inspectable analytical record that can travel between engineers, operators, finance, leadership, and external stakeholders.
Configurations, constraints, boundary conditions, exclusions, dependencies, and the evidence behind each assumption.
Capacity, availability, degradation, demand, cost, sensitivity, environmental stressors, and recovery behavior.
Near-term actions, information to acquire, stakeholder decisions, option-preserving steps, and criteria for commitment.
Work can draw on lifecycle-cost, reliability, infrastructure-dependency, resilience, and scenario-planning practices. SKAR provides analytical decision support—not stamped design, environmental permitting, regulatory, or legal determinations.
Our perspective
Models and frameworks built to expose assumptions, uncertainty, and the consequences of delay.