Purdue University: Boiler MACT Study
Location: West Lafayette, Ind.
Client: Wade Utility Plant, Purdue University
In anticipation of the final Industrial Boiler MACT (Maximum Achievable Control Technology) regulations, Purdue University hired Burns & McDonnell to develop and perform a Boiler MACT study for the Wade Utility Plant in West Lafayette, Ind. The goal of the study was to identify the air pollution control modifications necessary for the Wade Utility Plant to meet the requirements of the National Emission Standards for Hazardous Air Pollutants for Industrial, Commercial and Institutional Boilers and Process Heaters, commonly referred to as the Industrial Boiler MACT.
Burns & McDonnell worked with Purdue University to develop both a regulatory basis and plant design basis. The regulatory basis established the target emission limit and compliance date for each pollutant of the Industrial Boiler MACT and other regulatory programs. The plant design basis included the physical operating conditions of the plant such as boiler capacity factors, heat inputs, flue gas flow rates and baseline emissions. The regulatory and plant design basis were used to establish the required removal efficiencies and the sizing basis for the air pollution control equipment.
Burns & McDonnell identified and evaluated air pollution alternatives that allowed the plant to continue operation while meeting the requirements of the Industrial Boiler MACT and any other identified regulatory programs. Also, an assessment was made of the ability of existing plant auxiliary systems to support any retrofits and the extent to which any existing facilities required relocation.
Capital costs and operating cost estimates were developed for a variety of alternatives. Cost estimates were study grade (+/- 30%), and were based on preliminary sizing and layout of major equipment, vendor budgetary pricing where possible, and Burns & McDonnell's development engineering database and cost estimating procedures. The capital operating costs were entered into a pro forma economic analysis to determine the most economic alternative(s).