TY - JOUR
TI - Exergoeconomic optimization of a thermal power plant using particle swarm optimization
AU - Groniewsky Axel
JN - Thermal Science
PY - 2013
VL - 17
IS - 2
SP - 509
EP - 524
PT - Article
AB - The basic concept in applying numerical optimization methods for power plants  optimization problems is to combine a State of the art search algorithm with  a powerful, power plant simulation program to optimize the energy conversion  system from both economic and thermodynamic viewpoints. Improving the energy  conversion system by optimizing the design and operation and studying  interactions among plant components requires the investigation of a large  number of possible design and operational alternatives. State of the art  search algorithms can assist in the development of cost-effective power plant  concepts. The aim of this paper is to present how nature-inspired swarm  intelligence (especially PSO) can be applied in the field of power plant  optimization and how to find solutions for the problems arising and also to  apply exergoeconomic optimization technics for thermal power plants.