flare.IQ is an advanced flare control platform designed to ensure compliance with the Environmental Protection Agency's Maximum Achievable Control Technology (MACT) Petroleum Refinery Sector Rule (RSR) Part 63.670. This product offers a complete plug-and-play solution that integrates seamlessly with existing Distributed Control Systems (DCS) via Modbus TCP/IP, eliminating the need for additional software development. The system is equipped with pre-programmed algorithms that optimize flare performance by dynamically adjusting steam and supplemental gas flow rates based on real-time flare flow conditions. This capability helps maintain high combustion efficiency and minimizes methane emissions. flare.IQ also addresses the latency issues associated with BTU measurements from gas chromatographs, providing near-continuous feedback to enhance operational control. With its industrial-grade QNX-based controller and robust connectivity options, flare.IQ is designed for easy installation and reliable performance in various operational environments. The product aims to reduce operational costs by optimizing resource consumption and minimizing the need for additional measurement assets. Overall, flare.IQ is suitable for refineries looking to meet regulatory compliance while improving flare system efficiency.
Our flare.IQ solution offers an advanced flare control platform that reduces methane emissions, ensures high-efficiency flare combustion, and reduces steam usage in flare systems. flare.IQ combines domain knowledge from Panametrics, a Baker Hughes business, and its proven track record in flare gas flow measurement with Baker Hughes world-class controls expertise and comes pre-programmed with all required algorithms needed to address the most difficult aspects of proper flare control.
For refiners in the United States, flare.IQ helps you meet the requirements of the Environmental Protection Agency's Maximum Achievable Control Technology (MACT) Petroleum Refinery Sector Rule (RSR) Part 63.670. Even if you operate a flare in a non-regulated environment, Baker Hughes patent-pending process optimization algorithms provide near-continuous feedback on flare performance to help drive down operational costs with reduced steam and supplemental gas consumption.
Increases efficiency of the complete flare system
Using predictive modeling, the patent-pending steam control algorithm correlates the system’s flare flow conditions to the required steam input. The correlation optimizes the steam flow to confirm that no emissions are visible at the flare. Through patented technology, flare.IQ overcomes the latency associated with the heating value (BTU) measurement using a gas chromatograph.
Flare.IQ provides near-continuous feedback of the heating value in the flare gas, allowing an operator to dynamically adjust the make-up/supplemental
Certifies compliance to RSR 63.670
flare.IQ is fully equipped with all software algorithms required to meet RSR 63.670, eliminating the need for software development. The software-based solution is housed in an easy-to-install QNX-based industrial controller that directly connects to the existing control system via Modbus TCP/IP. flare.IQ provides the control system with provisional control setpoints for make-up/supplemental
Reduces implementation costs, time and risk
Flare.IQ reduces scheduling and implementation risks enabling users to meet compliance deadlines. The pre-programmed algorithms allow the control engineer to focus on optimizing the overall operation of the flare system by reducing the need to allocate resources to program regulatory requirements.
Smarter technologies for the planet
Flare.IQ is a turnkey solution that optimizes the performance of the entire flare system. This system can help refineries meet regulatory requirements and significantly reduce the threat of methane emissions. flare.IQ also drives down operational costs by reducing steam and supplemental gas consumption.
| Panametrics | |
|---|---|
| Product Category | Flow Controllers |
| Product Number | flare.IQ |
| Product Name | Advanced Flare Control Platform |
| Control | Nonlinear |
| Features | PC-Based |
| Form Factor | Rack |