Optimal load allocation of multiple fuel boilers.
This paper presents a new methodology for optimally allocating a set of multiple industrial boilers that each simultaneously consumes multiple fuel types. Unlike recent similar approaches in the utility industry that use soft computing techniques, this approach is based on a second-order gradient search method that is easy to implement without any specialized optimization software. The algorithm converges rapidly and the application yields significant savings benefits, up to 3% of the overall operating cost of industrial boiler systems in the examples given and potentially higher in other cases, depending on the plant circumstances. Given today's energy prices, this can yield significant savings benefits to manufacturers that raise steam for plant operations.
Dunn
Alex C
AC
AfriTek, Inc., 14019 Halprin Creek Dr., Cypress, TX 77429, USA. aclexi@afritek.biz
Du
Yan Yi
YY
D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D005648:Fuel Oils; D006361:Heating / Q000295:instrumentation*; D008962:Models, Theoretical; D009716:Numerical Analysis, Computer-Assisted; D011786:Quality Control
D005648:Fuel Oils