Optimization of power stations with evolutionary algorithms

被引：0

作者：

Axmann, JK ^{[1
]}

Dobrowolski, R

Wang, JH

机构：

[1] Scandpower GmbH, Hamburg, Germany

[2] Tech Univ Braunschweig, Inst Warme & Brennstofftech, D-3300 Braunschweig, Germany

[3] Firma Austrian Energy, Mitteldeutsche Feuerungs & Umwelttech GmbH, Leipzig, Germany

来源：

BRENNSTOFF-WARME-KRAFT | 1997年 / 49卷 / 7-8期

关键词：

D O I：

暂无

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In fossil fuel power stations, various assemblies are combined into a complete system with the objective of efficient and environmentally safe power generation. Depending on the coupling and behaviour of the individual components, differing conditional changes are achieved in the complete system. The presented power station simulation program can be used to determine optimum condition sizes, and thus improve the previous manual optimization process for determining the optimum power station design.

引用

页码：46 / +

页数：5