Defining and analyzing historical batches using traditional analytics topls is extremely difficult, ...
Resources Listing
Cycle Time Optimization
Defining and analyzing historical batches using traditional analytics topls is extremely difficult, particularly due to the complex dynamics involved in batch processes.Tracking various activities within a batch poses significant, challenges, making it hard to identify inefficiencies and areas for improvement. However, dynamic dashboards provide a powerful solution, enabling near real-time monitor...
Heat Exchangers Performance Monitoring
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...
Predict Conveyer Belt Tensioning Date
In industrial operations, the gradual decline in conveyor belt tension poses a persistent challenge, often resulting in tracking issues and frequent belt failures. With a fleet of 100 belts, such failures can disrupt production schedules, leading to substantial costs and operational downtime.
Order fill projection
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for refineries. By proactively forecasting when a heat exchanger requires cleaning, refineries can implement risk-based maintenance planning, optimizing processing rates, and reducing operating and maintenance costs. Historically, engineers had to manually combine data entries in spreadsheets, spending ...
CO & Nox Prediction for Boiler - Energy Sustainability
Effective prediction of NOx and CO emissions from boilers is crucial for regulatory compliance and environmental protection. Key process parameters (KPIs) correlated with emission levels include combustion temperature, fuel composition, air-to-fuel ratio, and flue gas recirculation rates. By analyzing both historic and real-time data, it is possible to predict NOx and CO emissions accurately. This...
Prediction of power output in natural gas-fired power generation plant
Predicting power output in natural gas-fired peaker power plants is critical due to their intermittent operation and high economic significance. These plants, which supply power sporadically and at a premium price, pose a unique challenge for grid operators. We aim to forecast power output based on environmental conditions, enabling more informed decisions about plant activation and power purchasi...
Cooling Tower Health Monitoring
Unlocking efficiency in cooling tower operations entails understanding the interplay between temperature signals and equipment power. This analysis delves into identifying which temperature signals significantly impact power consumption, paving the way for predictive modeling to optimize compressor power.
Predicting CO and NOx emissions from turbines
In the realm of gas turbines, predicting emissions of carbon monoxide (CO) and nitrogen oxides (NOx) holds significant importance for regulatory compliance and environmental stewardship. This project focuses on developing predictive models that can accurately forecast CO and NOx emissions from gas turbines under varying operating conditions. By analyzing key factors such as combustion temperature,...
Energy Yield Prediction for Steam Turbine Operations
Energy yield prediction for steam turbine operations is essential to overcoming the challenges of ensuring consistent energy production while minimizing steam losses. The fluctuating load and varying demand make it difficult to implement timely and appropriate control changes, often leading to inefficiencies and increased operational costs.
Chromatography and Transition Analysis
Chromatography and Transition Analysis play a pivotal role in various industries, particularly in the purification of substances and the separation of complex mixtures. However, ensuring the reliability and effectiveness of chromatography columns presents ongoing challenges. Over time, column substrates degrade, necessitating periodic refreshment to maintain optimal performance. Despite the signif...
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for ...
In industrial operations, the gradual decline in conveyor belt tension poses a persistent challenge,...
Predicting the end-of-cycle (EOC) for a heat exchanger due to fouling is a persistent challenge for ...
Effective prediction of NOx and CO emissions from boilers is crucial for regulatory compliance and e...
Predicting power output in natural gas-fired peaker power plants is critical due to their intermitte...
Unlocking efficiency in cooling tower operations entails understanding the interplay between tempera...
In the realm of gas turbines, predicting emissions of carbon monoxide (CO) and nitrogen oxides (NOx)...
Energy yield prediction for steam turbine operations is essential to overcoming the challenges of en...
Chromatography and Transition Analysis play a pivotal role in various industries, particularly in th...