Advanced process control (APC) is a proven control and optimization technology delivering measurable and sustainable improvements in the production yield, coupled with the added value of energy savings. It improves process safety and reduces environmental emissions. Moreover, by reducing process variability, it is possible to operate plants at their designed capacity.
Rockwell Automation, U.S. based company, is one of the leading comapany in automation control & information platforms designed a software Pavilion 8. Pavilion8 MPC is a modular software platform and the foundation for industry-specific solutions. It provides modules to control, analyze, monitor, visualize, warehouse, and integrate, and combines them into high-value applications.
On the basis of segmentation, the APC is divided on the basis of type, revenue source, applications, and region. Advanced process control is used in various areas like oil & gas, power, chemical industry, pharmaceuticals, and food & beverages. In the field of oil & gas, the APC is used on various stages like reactor/recycle gas heater, stripper/main fractionator heater, and main fractionator. The APC application implemented on the GOHT (Gas Oil Hydro Treater) unit help in controlling the plant with less variation during coker drum switch operation and with less operator interactions during the plant operation. It minimizes the giveaway on the ULSD pool sulfur, thereby maximizing the production. Shell Deer Park (U.S.) implemented automated process control technique, which results in savings of about 198% greater than the originally estimated benefits.
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The major players involved in the development of advanced process control market include: ABB Ltd. (Switzerland), Aspen Technology, Inc. (U.S.), Emerson Electric Co. (U.S.), General Electric Co. (U.S.), Honeywell International, Inc. (U.S.), Rockwell Automation, Inc. (U.S.), Rudolph Technologies, Inc. (U.S.), and Schneider Electric SE (France), and Siemens AG (Germany).
The Global Advanced Process Control Market is expected to grow at a CAGR of 11% during the forecast period.
On the basis of type, the segment is further classified into advanced regulatory control, multivariable predictive control, inferential control, sequential control, and compressor control. Multi-variable model predictive control (MPC) is an established technology with superior performance over traditional single-input/single-output (SISO) control strategies. MPC is a common name for a control technology using dynamic process models representing the relationship between independent variables (model inputs) and dependent variables (model outputs). The inputs include manipulated variables and disturbance feed-forward variables. The model outputs are called controlled variables (CV). The models predict future outputs based on past values of manipulated variables, calculated future values of manipulated variables and past values of the feed-forward variables. ABB Group a leader in automation and robotics recently won an order to provide overall process control to SCA’s Ostrand Pulp mill expansion. The aim of the project is to double the production capacity the production line for bleached softwood Kraft pulp is likely to be the largest in the world.
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The global advanced process control market is segmented on the basis of type, revenue source, application, and region. On the basis of the type, the segment is further classified into advanced regulatory control, multivariable predictive control, inferential control, sequential control, and compressor control. On the basis of the revenue source, the segment is further divided in to software and services. APC caters wide area of applications like oil & gas, power, pharmaceuticals, food & beverages, chemical and others.
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