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Achieving MACT Compliance:

How Do You Get There From Here?


What is MACT?

The EPA currently is amending sections of the Clean Air Act to establish new emission regulations and limits for hazardous air pollutants (HAPs) from industrial and utility sources. National Emissions Standards for Hazardous Air Pollutants (NESHAPs) are designed to reduce HAP emissions using Maximum Achievable Control Technology (MACT). Based on results from best-performing facilities, MACT rules impose stricter emission limits on industrial and utility boilers for a variety of HAPs, including particulate, mercury and carbon monoxide.


Why Does This Matter?

The new emission limits are aggressive, and some facilities will find it challenging to comply. Ratification of new Industrial MACT rules is expected by end of 2010, in which case compliance would be required in 2013. New rules for Utility MACT are roughly a year behind; first draft is expected in spring 2011 with ratification by end of that year. Since the compliance period is so short, now is the time to start making plans.


Where Are You Now?

The first step in creating a realistic compliance strategy is to collect representative data that defines baseline conditions. Baseline data sets are then analyzed and used to create accurate models of what effect different options will have. Once an understanding is in place about how all the variables connect, you can assess the costs and benefits of available options, and formulate a plan supported by good data, performance model analysis, and economic considerations.




How We Can Help

Neundorfer engineers and project managers can help you create and execute a baseline data, model development, and scenario evaluation plan. We are now working with Paragon Airheater Technologies, Storm Technologies, and United Dynamics Corporation (UDC) to provide consulting and troubleshooting services that tie together fuel and combustion options with pollution control equipment optimization. Together, these companies are your ideal source for whole plant optimization, from the fuel to the stack.


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