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This 1 page Document was uploaded by an elite notetaker on Monday December 21, 2015. The Document belongs to a course at a university taught by a professor in Fall. Since its upload, it has received 6 views.
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Date Created: 12/21/15
Dynamic Analysis in Process Design It seems as though management is failing to see the importance of dynamic analysis in process design. Real-time testing andevaluation of data in refining processes necessitate that dynamic analysis, as opposed to steady-state analysis, be conducted to optimize plant safety andoutput. In addition, the dynamic variable analysis successfully merges the process control and process design disciplines. Eyes Open Approach In a recent conference at Auckland University, S&D Consulting presented the importance of taking an eyes open approach to process design and operationof control systems. Process design requires an investigative mindset so that no stones are left unturned to attain the highest level of plant efficiencies. Whether the process is being analyzed in a production environment or in a simulation, the analysisof changing thermal conditions, changes during a reaction step, and plant start-up/shutdown characteristics provides useful process design and tuning information. Dynamic analysis ultimately leads to a more economically efficient process design aswell as control systems that perform very well. The Basics of Dynamic Analysis In a closed-loop system sensors monitor process output and feed data to a controller which then adjusts process controls as necessary. Changes in output are measured and then fed back to the controller. The objective of the control system is to force a controllable variable to match a target value. In dynamic analysis, the goal is to observe how a complex system responds to one or more forces applied to it, especially indirect effects that take place at different times and points within the process. Steady-state analysis requires that fewer changes be applied against the system at any given time. Its ability to either simulate or respond to changes in the real world is inherently limited by definition. Why Dynamic Analysis is the Best Choice Management may be keen to utilize steady-state analysis to save time and money but such cost-cutting approaches place plant performance and safety at risk. While steady-state solutions do have value in solving issues for system behavior at specific conditions, may be simpler to implement and provide immediate answers, they are limited in scope. Dynamic analysis allows for long-term examination and study of complex systems like those found in oil and gas refineries. Simulating dynamic effects for process design and control is more akin to predicting reality, as most plants are dynamic in nature. Summary Fundamental process design methodology still works well, most of the time. But, are you willing to risk ignoring all possibilities or variables not present in steady state analysis? Dynamic analysis is required to optimize plant safety and output.If you'd like to better understand the key role of dynamic analysis in process design and control contact S & D Consultingtoday.
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