Downloads
-
Rotary Blowers and Packages Brochure
2/3/2021
Kaeser lobe and screw blower packages offer the best possible combination of quality construction, reliable performance and ease of ownership. Low life cycle costs arise from reduced cost of engineering and installation, easy maintenance features, and rugged reliability leading to few lifetime repairs. The Sigma Control 2 monitors the blower package and enables easy connection with master controllers such as Sigma Air Manager 4.0 (SAM) which enhances reliability, energy optimization, and plant automation.
-
Industrial Blower Packages
2/3/2021
Kaeser had been designing and manufacturing superior industrial machinery since 1919. With over 100 years of manufacturing experience, we pride ourselves on upholding our traditions of quality and craftsmanship. Our reputation for reliability, energy efficiency, and excellent service has helped us grow into a global leader in blower and compressed air technology.
-
Mass Balance Calculations
2/1/2021
Performing a mass balance on manufacturing sites process units (or the overall plant) is critical for identifying a number of issues, including leaks, faulty sensors, meter calibration issues, process inefficiencies, and more. Unfortunately, the plants that do perform mass balances likely use a method that is difficult to maintain and does not update as new data is available for continuous monitoring.
-
Analysis Of Clean In Place (CIP)
2/1/2021
There are several challenges to effectively analyzing CIP operations. Seeq Tools help create a process model that can be applied across cleaning circuits and amended with circuit-specific data.
-
Improving Manufacturing Productivity At Abbott Nutrition
1/27/2021
Abbott’s nutrition business manufactures a wide variety of science-based nutrition products. Here we review how the company uses Big Data and analytics to improve manufacturing productivity.
-
Batch Tracking & Cycle Time Analysis
1/26/2021
Batch manufacturing of chemicals entails many distinct phases. Learn how one developer overcame its struggle to analyze batch phase times for process improvement.
-
Batch Quality Prediction
1/26/2021
A large molecule pharmaceutical manufacturer was struggling to predict batch quality results in near real-time. The solution created a better way to predict batch quality and enable process optimization.
-
Predicting Product Properties Using Reactor Data
1/21/2021
In the chemicals industry, it is critical to control the finished product properties (such as product density, viscosity and reagent content) to maximize product quality, and as a result, profitability. Chemicals manufacturers test their finished products, placing them into different quality ranges based on how they perform in a series of laboratory tests. The highest quality product sells for the highest price, so maximizing the amount of the highest quality product will maximize the revenue of a particular process unit.
-
Power Loading Reduction
1/21/2021
In the power utility industry, independent system operators (ISOs) are quasi-governmental organizations that serve as neutral market-makers between power generation companies and consumers to help ensure the power grid performs at maximum efficiency and reliability. While they don’t own generation, transmission, or distribution assets, nine ISOs play an important role to balance the supply and demand for power in North America.
-
Environmental Analysis for FCC SOx Reduction
1/21/2021
In the process of selecting a SOx Reduction Additive, refinery engineers must be able to easily compare the effect of several different additives on environmental performance. They must be able to develop a model to understand how different additives and operating parameters will affect SO2 emissions. With the right additive and an accurate environmental model, refiners can incorporate environmental planning and compliance into operational plans and targets, allowing for the optimization of both environmental performance and operating costs. Without the proper analytics support however, development of an accurate model can be extremely time-consuming.