Rogm™, which stands for Resource Optimizing Gas Model, is a gas supply send out optimization model providing gas supply planners with the necessary analysis to make appropriate gas supply management decisions. Rogm™ users can generate short- or long-term gas supply plans, analyze strategic portfolio change decisions, and incorporate all system constraints. Gas companies face the day-to-day and long run problem of how to best utilize resources at hand, given actual demand or forecasted demand scenarios. Rogm™ uses inputs such as resource cost and availability data and demand forecasts to generate an optimal dispatch of resources to meet that demand.

By calculating an optimal dispatch of resources, Rogm™ provides important cost savings. Even a small percentage in savings can translate into hundreds of thousands of dollars, given that the costs of running gas supply networks typically exceed several million dollars. Rogm™ can evaluate adequate pipeline demand volumes based on possible demand scenarios and determine the optimal demand amount for contractual purposes. This can be done using a single demand curve, or multiple demand curves with different probabilities. Rogm™ has been used to generate gas supply plans filed with several Public Service Commissions, perform strategic portfolio evaluation in contract renewals, consider unbundling scenarios and evaluate stranded costs.

• Budgeting
• Development of short-term and long-term gas supply plans
• Short-term dispatch decisions
• Strategic resource planning, i.e. determining optimal contract amounts to determine the optimal resource mix to meet demand
• Marginal cost analysis and cost of service studies
• Tariff design
• Shadow-price valuation of resources
• Stranded cost determination
• Unbundling studies to value stranded costs
• Balancing studies to evaluate resources needed for partially or fully unbundled utilities
• "No-Notice" requirements (Ability to dispatch negative loads)
• Reserve margin analysis (Simultaneous optimization of multiple demand scenarios)
• Virtual storage (Variable vs. fixed demand costs)
• Impact analysis involving:

  • Known demand forecasts
  • Probabilistic demand forecasts
  • Resource acquisition scenarios
  • Pipeline and storage contract negotiation scenarios