Learn more about each application, segmented by the trilemma element it helps mitigate.
Helps improve access to energy and resources
Designed to provide highly accurate data-driven insights and economic impact to optimize equipment based upon thermal performance, which can result in more reliable and affordable power. Insights can be used to improve peak output, reduce turndowns and start faster, which balances demand with grid requirements. Carbon analytics and insights can help identify equipment degradation issues that have a negative impact on fuel consumption and carbon emissions.
Visual and digital twin data help operations plan maintenance leading to less unplanned downtime and reduced maintenance spend. By helping decrease production and operating costs, operations can deliver more reliable and affordable energy to the market.
Predictive analytics and diagnostics provide insights to help industrials run more reliable, efficient operations – helping provide access to affordable energy. Proactive maintenance reduces waste, both in materials and emissions associated with maintenance activities. Reducing unplanned downtime directly reduces fugitive emissions in oil and gas operations. CycleWatch Digital Twins can help confirm startups are occurring as expected. This is critical to enabling both more renewable power generation and reliable generation from thermal plants. Less optimal startups also increase emissions.
Designed to help energy companies calculate risk and the remaining useful life of assets to generate, implement, and execute optimized inspection strategies while helping to streamline auditability and compliance governance. Supports planned maintenance activities, which improve reliability and affordability. Contextual awareness through 3D digital twins supports viable production by reducing field travel and associated emissions.
Pre-configured templates for APM, including asset strategies, digital twins and more are designed to enable faster time to value and a wider deployment across assets. As a result, customers have insights to produce more efficient, reliable power and resources.
Capacity Trader/Dispatch Optimizer
Designed to increase power generators’ peak output to quickly respond to decreases in variable renewable generation. This supports more reliable, affordable electricity for end customers.
Process and asset data quality analysis and performance benchmarking enables industrials to lower their operations and maintenance spend. This enables more reliable, affordable production.
Production Planning - Regulated Markets
Improves ability to predict available generation of all fuel types, which helps to minimize reserves of thermal power and fleet CO2. Also helps to prioritize lowest CO2 asset dispatched first to meet demand.
Helps make energy and resource production more efficient, which may help lower cost for end consumers.
Designed to provide highly accurate data-driven insights and economic impact to optimize equipment based upon thermal performance, which can result in more reliable and affordable power. Insights can be used to improve peak output, reduce turndowns and start faster, which balances demand with grid requirements. Carbon analytics and insights can help identify equipment degradation issues that have a negative impact on fuel consumption and carbon emissions.
Visual and digital twin data help operations plan maintenance leading to less unplanned downtime and reduced maintenance spend. By helping decrease production and operating costs, operations can deliver more reliable and affordable energy to the market.
Predictive analytics and diagnostics provide insights to help industrials run more reliable, efficient operations – helping provide access to affordable energy. Proactive maintenance reduces waste, both in materials and emissions associated with maintenance activities. Reducing unplanned downtime directly reduces fugitive emissions in oil and gas operations. CycleWatch Digital Twins can help confirm startups are occurring as expected. This is critical to enabling both more renewable power generation and reliable generation from thermal plants. Less optimal startups also increase emissions.
A collection of integrated tools engineered to help enterprises develop a comprehensive asset strategy to decrease operations and maintenance (O&M) expense and emissions that can lead to more affordable, sustainable energy production.
Designed to help energy companies calculate risk and the remaining useful life of assets to generate, implement, and execute optimized inspection strategies while helping to streamline auditability and compliance governance. Supports planned maintenance activities, which improve reliability and affordability. Contextual awareness through 3D digital twins supports viable production by reducing field travel and associated emissions.
Pre-configured templates for APM, including asset strategies, digital twins and more are designed to enable faster time to value and a wider deployment across assets. As a result, customers have insights to produce more efficient, reliable power and resources.
Capacity Trader/Dispatch Optimizer
Designed to increase power generators’ peak output to quickly respond to decreases in variable renewable generation. This supports more reliable, affordable electricity for end customers.
Process and asset data quality analysis and performance benchmarking enables industrials to lower their operations and maintenance spend. This enables more reliable, affordable production.
Remote/mobile access to essential onsite monitoring and control functions helps maintain and troubleshoot operations while reducing costs through staffing flexibility and productivity. Supports access to reliable, affordable energy. Remote connections can reduce staff travel and associated emissions.
Employs artificial intelligence (AI) to build a machine learning (ML) digital twin model of a gas turbine to find the optimal flame temperatures and fuel splits every two seconds. Optimal combustion reduces fuel consumption and emissions, which supports more affordable and viable power generation.
Closed loop system that is designed to improve coal thermal generation. Fuel and emissions are both reduced, helping support more affordable, viable power generation.
Production Planning - Regulated Markets
Improves ability to predict available generation of all fuel types, which helps to minimize reserves of thermal power and fleet CO2. Also helps to prioritize lowest CO2 asset dispatched first to meet demand.
Production Planning - Deregulated Markets
Connects price, generation predictions and weather data to the capacity of the power plant to provide insights for hedging in the dayahead market. Energy traders can optimize their energy portfolios to help improve affordability. For thermal plants, unifies trading floor to plant, which in turn can provide more reliable power. Supports future investment in renewable generation.
Duct Burner
Designed to automate and optimize deployment of duct burners based on predicted demand. Supports a reduction fuel consumption and thus emissions.
Insights may help reduce emissions and fuel consumption or support a balanced energy mix including renewables.
Designed to provide highly accurate data-driven insights and economic impact to optimize equipment based upon thermal performance, which can result in more reliable and affordable power. Insights can be used to improve peak output, reduce turndowns and start faster, which balances demand with grid requirements. Carbon analytics and insights can help identify equipment degradation issues that have a negative impact on fuel consumption and carbon emissions.
Visual and digital twin data help operations plan maintenance leading to less unplanned downtime and reduced maintenance spend. By helping decrease production and operating costs, operations can deliver more reliable and affordable energy to the market.
Predictive analytics and diagnostics provide insights to help industrials run more reliable, efficient operations – helping provide access to affordable energy. Proactive maintenance reduces waste, both in materials and emissions associated with maintenance activities. Reducing unplanned downtime directly reduces fugitive emissions in oil and gas operations. CycleWatch Digital Twins can help confirm startups are occurring as expected. This is critical to enabling both more renewable power generation and reliable generation from thermal plants. Less optimal startups also increase emissions.
A collection of integrated tools engineered to help enterprises develop a comprehensive asset strategy to decrease operations and maintenance (O&M) expense and emissions that can lead to more affordable, sustainable energy production.
Designed to help energy companies calculate risk and the remaining useful life of assets to generate, implement, and execute optimized inspection strategies while helping to streamline auditability and compliance governance. Supports planned maintenance activities, which improve reliability and affordability. Contextual awareness through 3D digital twins supports viable production by reducing field travel and associated emissions.
Remote/mobile access to essential onsite monitoring and control functions helps maintain and troubleshoot operations while reducing costs through staffing flexibility and productivity. Supports access to reliable, affordable energy. Remote connections can reduce staff travel and associated emissions.
Employs artificial intelligence (AI) to build a machine learning (ML) digital twin model of a gas turbine to find the optimal flame temperatures and fuel splits every two seconds. Optimal combustion reduces fuel consumption and emissions, which supports more affordable and viable power generation.
Closed loop system that is designed to improve coal thermal generation. Fuel and emissions are both reduced, helping support more affordable, viable power generation.
Production Planning - Regulated Markets
Improves ability to predict available generation of all fuel types, which helps to minimize reserves of thermal power and fleet CO2. Also helps to prioritize lowest CO2 asset dispatched first to meet demand.
Production Planning - Deregulated Markets
Connects price, generation predictions and weather data to the capacity of the power plant to provide insights for hedging in the day ahead market. Energy traders can optimize their energy portfolios to help improve affordability. For thermal plants, unifies trading floor to plant, which in turn can provide more reliable power. Supports future investment in renewable generation.
Duct Burner
Designed to automate and optimize deployment of duct burners based on predicted demand. Supports a reduction fuel consumption and thus emissions.