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Technical

Solenoid Valve Technology for Upstream Oil and Gas Heating Equipment

Solenoid Valve Technology for Upstream Oil and Gas Heating EquipmentLow-temperature stainless-steel fuel shutoff valves are typically used for on/off control of fuel gas within gas fuel trains in process heating system burners. These systems are widely used by oil and gas firms as well by as original equipment manufacturers (OEMs) that produce gas heating equipment or burner management systems (BMSs) and controls in upstream oil and gas pipelines and tanks.

For valve manufacturers, these uses present a relatively specialized, rather challenging application. Environmental conditions at the point of use are often difficult. Ideally, valves should deliver reliable operation despite constraints on factors ranging from power consumption to service availability. Conversely, outdated controls can pose problems—including poor performance, noncompliance with current regulations and triggering of environmental concerns.


Control Using Wireless Throttling Valves

Control Using Wireless Throttling ValvesBased on the broad acceptance of wireless transmitters, manufacturers have developed and introduced wireless actuators for on/off valves. These devices are being used to address closed loop discrete control to flush water and sand from a gas-cleaning tower and to automatically control the temperature of product storage tanks. We can expect major valve manufacturers to introduce wireless throttling valves that can be used with a wireless transmitter to implement closed loop continuous control (Figure 1).

This simple implementation can have an impact on the process industry by increasing automation and production effectiveness. While the automation may be part of the main production operation it also increases the ability to streamline auxiliary functions such as water treatment and storage operations for raw materials, intermediate materials, waste or final product.

The Rationale Behind Valve Characteristics

valves2cpipesBack in the “early days,” we were taught that, to properly control flow, we should select a linear valve characteristic when the valve controls more than 25% of the piping system pressure drop at full flow. We were also taught to select an equal percentage characteristic when the valve accounted for less than 25% of the pressure drop. This is an interesting guideline for sure, but many of us did not understand the rationale behind the advice. This article attempts to explain that thinking.

Improving Valve Sealing Performance and Reliability

Improving Valve Sealing Performance and ReliabilityApproximately 300,000 tons of fugitive emissions are released each year in the United States, according to the Fluid Sealing Association, and regulations put in place to lower that number are being added every year.

Combine that regulatory pressure and the stresses of today’s economic environment, and it is obvious that original equipment manufacturers (OEMs) and end users are increasingly seeking solutions that not only reduce emissions but also result in a permanent and noticeable increase in the service life of their products and equipment. Performance, value, reliability, repeatability and safety are all factors that are taken into account when developing and purchasing products to perform in this environment.

Smart Analytics and the Power Sector

Smart Analytics and the Power Sector 5While mountains of data are being created everywhere in the commercial, industrial and manufacturing sectors, problems arise when determining how to handle all of that information and make it a valuable part of the business.

In his presentation during VMA’s 2014 Market Outlook Workshop in Boston, Scott Tampke of Black and Veatch encouraged attendees to carefully consider the increasing need for smart analytics to make it easier for those in the manufacturing and power sectors to utilize all of that data. He pointed out that, “Leveraging data produced from smart systems is a critical success factor in power and all other industries,” said Tampke. “The challenge is knowing how to convert data into knowledge, and data analytics play a critical role.”

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