Headcount is down, but expectations are up. Shareholders assume another year of improved financial performance is in the works. Management’s targets for
output, quality, downtime, and assorted other ‘lucky charms’ rose another couple percentage points. Meeting last year’s objectives seemed a miracle. Looking around – same infrastructure, same processes, same short-handed staff – you’re wondering where those opportunities for improvement can be found. Fortunately, they truly are there if you have the tools with which to find them.
Here’s the problem: The typical paper mill operates 100s of PID control loops and maintains an even larger quantity of production assets. The typical plant historian stockpiles data, and extracting information that’s actionable and relevant to performance can be a challenge. Meanwhile, pressure just increased on everyone to improve production efficiency.
This webinar covers recent innovations in CLPM technology specifically in the context of the pulp and paper industry to demonstrate the value of loop analytics.
Real-time performance monitoring to identify poorly or under-performing loops has become an integral part of preventative maintenance. Among others, rising energy costs and increasing demand for improved product quality are driving forces. Automatic process control solutions that incorporate real-time monitoring and performance analysis are fulfilling this market need. While many software solutions display performance metrics, however, it is important to understand the purpose and limitations of the various performance assessment techniques since each metric signifies very specific information about the nature of the process.
This presentation reviews performance measures from simple statistics to complicated model-based performance criteria. By understanding the underlying concepts of the various techniques, readers will gain an understanding of the proper use of performance criteria. Basic algorithms for computing performance measures are presented using example data sets. An evaluation of techniques with tips and suggestions provides readers with guidance for interpreting the results
Poor control costs process manufacturers millions every year. Those losses come in the form of increased energy consumption and excessive use of production inputs. They hit your top-line in the form of reduced throughput as well as erode your bottom-line in the guise of production-related defects. But what about process dynamics and your facility’s workhorse — the all important PID controller?
Test your knowledge on this webinar.
In this webinar, you will learn to use modern tools and approaches to improve sustainability. Sustainability helps you to meet today’s needs without sacrificing the future. Digital tools and services can be leveraged to reduce waste, save energy and chemicals, and to streamline the work for plant personnel. This webinar shows practical examples and case studies for sustainable improvement.
Join us for this webinar to see how you can make sustainable improvements to people, planet, and profit.
Two of the most popular architectures for improving regulatory performance and increasing profitability are 1) cascade control and 2) feed forward with feedback trim. Both architectures trade off additional complexity in the form of instrumentation and engineering time for a controller better able to reject the impact of disturbances on the measured process variable. These architectures neither benefit nor detract from set point tracking performance. This paper compares and contrasts the two architectures and links the benefits of improved disturbance rejection with reducing energy costs in addition to improved product quality and reduced equipment wear. A comparative example is presented using data from a jacketed reactor process.
For any manufacturer a great deal depends on the ability to monitor and evaluate the performance of staff and facility alike. In terms of assessing the performance of production systems, the plurality of facilities rely on KPIs trended by supervisory control platforms. While the analysis is essential, the metrics focus more on maintaining safe, consistent output and less on optimizing the underlying regulatory control layer. As a result, the PID controller responsible for regulating each of a facility’s many, highly interactive control loops is routinely overlooked until its performance is linked to a slip in productivity. Indeed, the typical DCS doesn’t have metrics for Stiction, Oscillation, and Output Reversals. Measurements that proactively assess the PIDs effectiveness have only recently been viewed as a means of both improving overall performance and avoiding costly downtime.
A central question to ask is: What’s the true economic value of improving regulatory control?
So you don’t know which of your plant’s 100s of valves are racing toward failure? No worries –PlantESP does. With the expansive environment of a midstream processing plant it can seem impossible to know precisely which assets are at risk of premature failure. Luckily PlantESP continuously and proactively monitors performance on a plant-wide basis. It not only identifies issues that could affect the plant’s process performance, it also evaluates
the health of final control elements (FCEs) like valves and dampers.
In this webinar, we will cover the techniques that were used in this case study.