Wastewater treatment plants (also called Water Resource Facility WRFF) must treat the water before it can be released back into the environment (rivers, lakes, etc) and before it can be used as drinking water for a city, town, or municipality.

Natural gas is a vital energy source used globally for various applications, including power generation, heating, and industrial processes. Its abundance and relatively low carbon emissions have made it a popular choice for meeting energy needs. However, to ensure the safe and efficient use of natural gas, it is essential to measure and control any impurities present in the gas that can affect the intended end use. Moisture, or water vapor, is one of the most common impurities in natural gas. In this blog, we will delve into the significance of measuring moisture in natural gas, the impact of water vapor on the properties of natural gas, the technologies used for moisture measurement, and best practices for installation and maintenance to ensure accurate readings and overall system efficiency.

Vortex flowmeters are highly versatile devices that can measure the flow of liquids, gases, and steam across a wide range of temperatures and pressures. Their unique advantages make them particularly well-suited for measuring steam flow, offering benefits over other types of flowmeters.

The US Environmental Protection Agency (EPA) 40 CFR Part 60 Subpart OOOO, or Quad O, is a federal regulation under the Clean Air Act for reducing harmful air quality emissions from oil and gas facilities.

The EPA issued a final rule effective May 7, 2024, containing new source performance standards (NSPS) regulating greenhouse gases (GHGs) and volatile organic compound (VOC) emissions for the oil and gas industry. It also finalized guidelines for states to follow in developing their emission reduction standards for limiting fugitive emissions from existing sources.

In industrial settings where flammable materials are handled, flame detection systems are an important layer of safety programs. False alarms in these systems disrupt operations and can risk desensitizing personnel to alerts. Different flame detection methods have different false alarm profiles in different applications. Advanced flame diagnostic technologies have been and are being developed to enhance these systems, including to reduce false alarms. Among these technologies, artificial neural networks (ANNs) stand out as a promising option, offering false alarm reduction.

When should you use Ultrasonic? And when is Radar more suitable? Thanks to our industry leading technology, and built-in DATEM echo discrimination algorithms in our software, you can usually count on ultrasonic level sensors to get the job done for you. However, there are some instances where you want to consider using a radar sensor.

What is “Quad-O”?

The US Environmental Protection Agency (EPA) 40 CFR Part 60 Subpart OOOO is colloquially known as “Quad-O”. It is a regulation under the Clean Air Act meant to identify emissions sources in oil and natural gas operations contributing to pollution and reduce emissions. The emissions of methane and VOCs from oil and gas equipment used in the production and processing and the transmission and storage of natural gas are affected.

YNOW2024: Impact Your World will showcase best practices, methodologies, and emerging digital technologies from end users, Yokogawa, KBC (A Yokogawa Company) and our partners.

In the fast-paced and demanding landscape of process industries, maintaining operational efficiency is paramount. Any disruption, no matter how small, can cascade into significant downtime, lost production, and hefty repair costs. However, with the advent of wireless machinery protection solutions, such as SKF Axios, industries ranging from chemical plants to paper mills are experiencing a transformative shift in how they manage and safeguard their critical equipment.

The myriad number of machines used in producing pulp and paper that are considered as balance-of-plant or auxiliary machinery. Here you will see a number of machines that are not adequately monitored or not monitored at all but still have a sizable impact on maintenance costs, production downtime and quality. Where are these machines, and what kind of cost-effective monitoring solution would be needed to monitor them?