Schneider Electric Gas Day Operations (GDO)

Schneider Electric Gas Day Operations (GDO) enables gas operations and controllers to set up, monitor, and balance their supply and demand schedule and optimize their gas day plan. GDO provides value to gas operations delivering accurate “send out forecast” – for weather dependent loads – which combined with nominated loads provides a complete view of future gas demand forecast for the natural gas grid. The gas contracts and nominations business agreements behind supply are validated and expected demand is provided.

With GDO, weather-dependent, non-contractual gas demand/load (i.e. sendout) forecast are developed for next gas day (and near future gas days) using analytics and history of weather data and gas consumption history. Nominations used to plan supplies for contractual customers can also be included to create a total gas day supply plan. By combining these two features with the ability to monitor the plan against actual flow measurement data - imported from a gas measurement system -  operators can efficiently manage all their customers’ deliveries in one application, without running into a flow deficit or surplus at the end of the gas day - resulting in an optimized efficient operations.

Gas Day Operations, a part of our Enterprise Pipeline Management Solutions (EPLMS), brings together functionality focused on making sure that the pipeline operations and controllers have the information for gas planning, monitoring and gas control – ensuring supply and demand are balanced and capacity is optimized.

Key capabilities of Pipeline of Gas Day Operations:

  • Use the latest weather data, contracts and nominations to generate up to-date load forecasts
  • Prioritize, select and rank different sources of gas supply (Storage/Inventory, LNG Re-Gas, Pipelines) and related withdrawals to ensure meeting gas demand efficiently
  • Balance supply and demand using sendout forecast (this is the forecast for the non-contractual / weather dependent gas loads/demand), nominations and internal operations to establish an efficient schedule
  • Compare in-day projections against forecasts using hourly actuals regardless of the mechanisms (e.g. contract nomination, send-out forecasting, and internal operations) used to develop the plans or the methods used to measure the actual volumes
  • Provide the necessary inputs to gas control to adjust in near real-time gas throughput to meet demand conditions

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