Immune inspired optimizer of combustion process in power boiler
New Trends in Applied Artificial Intelligence: 20th International Conference …, 2007•Springer
The article presents an optimization method of combustion process in a power boiler. This
solution is based on the artificial immune systems theory. A layered optimization system is
used, to minimize CO and NOx emission. Immune inspired optimizer SILO is implemented in
each of three units of Ostroleka Power Plant (Poland). The results from this implementation
are presented. They confirm that presented solution is effective and usable in practice.
solution is based on the artificial immune systems theory. A layered optimization system is
used, to minimize CO and NOx emission. Immune inspired optimizer SILO is implemented in
each of three units of Ostroleka Power Plant (Poland). The results from this implementation
are presented. They confirm that presented solution is effective and usable in practice.
Abstract
The article presents an optimization method of combustion process in a power boiler. This solution is based on the artificial immune systems theory. A layered optimization system is used, to minimize CO and NOx emission. Immune inspired optimizer SILO is implemented in each of three units of Ostroleka Power Plant (Poland). The results from this implementation are presented. They confirm that presented solution is effective and usable in practice.
Springer
以上显示的是最相近的搜索结果。 查看全部搜索结果