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Optimal utility production management Discover software tailored to your needs

Optimal utility production management Discover software tailored to your needs

Optimal management of utility production on industrial sites is Proesis's strongest and longest-standing area of expertise, with nearly 30 years of experience in the field. Over the years, Proesis has developed a dedicated tool, specifically designed to address the particular challenges of this field. The software developed is called PLANENER.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Plan production (multi-period optimization: production planning & scheduling)

The changing operating context of utility production plants has led us to design a tool capable of meeting the needs and constraints that have emerged in recent years:

  • Variability of electricity prices (purchase prices to account for electrical machines, resale of electricity production via capacity mechanisms, demand response, spot, intraday, etc.)

  • Variability of gas prices (and therefore of the ratio between the price of gas and electricity)

  • Increased production flexibility

  • Demand variability

  • Etc.

In multi-period mode, the software generates optimized and viable operational schedules within a few minutes, explicitly integrating the site's operating constraints such as production and possibly storage capacities (particularly electrical, an emerging phenomenon), availability lead times, maintenance outages, flow rate calculations in the event of demand changes, etc.

Manage production in real time (simulation and optimization)

Having a reliable model of the plant, an accurate digital twin, makes it possible to simulate and optimize its operation. Simulating means obtaining a precise operating cost for the current configuration, based on site data, in silent mode. Optimizing means adding degrees of freedom to the model in order to make concrete proposals to operators for reducing operating costs (adjusting the loads of steam producers, eliminating vent losses, switching swappable turbines, deciding whether or not to produce electricity through cogeneration, etc.). Whether in simulation or optimization (the two are generally run sequentially), the calculations are performed in silent mode, at a chosen frequency (usually hourly) to provide a clear, "real-time" view of the plant's situation along with proposals for improving production.

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