Wednesday, March, 29 | 3:00 PM - 3:30 PM
Session: B1: New Technologies | Track B: Advanced Technologies and Renewable Energy
Youngstown State University | Student
Optimizing Central Boiler and Steam Plant Operations with Data Analysis and New Qualitative Tools
Operating legacy industrial energy systems efficiently is challenging due to original equipment constraints, changed operating environments, and economic realities. The analytical methods presented in this paper made for no-cost operational changes that allow for cost savings of over $500,000 annually, significant carbon emissions reductions, and water savings for a 60-year-old industrial boiler house facility. While this facility operates high-pressure steam turbine generators and burns multiple fuels, the methods discussed offer optimized operating strategies for any industrial central steam generation facility, with or without power generation.
The applied methods utilized both quantitative and qualitative analysis tools. The quantitative methods include analyzing and confirming philosophies for configuring turbines versus motors using free DOE-developed modeling software, creating KPIs (key performance indicators) for turbine heat rates, and considering the combined combustion and thermal efficiencies of different boiler combinations.
The qualitative tools developed included a software auditing app and a low-cost $400 infrared iPad tool. The auditing app allows for more meaningful and complete inspection rounds when operators are conducting regular field inspections. The infrared imager allows operators to screen equipment conditions against reference images. Overall, this allowed paper logs to be converted to iPad apps providing valuable real-time operating decision information for the staff.
Ian Norman is a Senior Mechanical Engineering student at Youngstown State University. He is actively pursuing his bachelor’s degree with a minor in Mathematics. His focus is on Heat Transfer, Energy, and Thermal systems. He is also a student member of the Association of Energy Engineers. Norman has worked with a power generation facility to conduct assessments of large quantities of data to help solve efficiency issues relating to process of steam systems. This has allowed him to further his knowledge on steam balance diagrams, thermal imaging, process problem solving, and general turbine modeling software such as the Department of Energy’s turbine modeler.