A structural optimization method for maximizing power output in multi-stage self-superheated systems.

ABSTRACT: This study introduces a novel structural optimization methodology for determining the optimal architecture of multi-stage power generation systems integrating steam turbines, self-superheaters, and Organic Rankine Cycles. Unlike conventional approaches that optimize parameters within predefined system configurations, this methodology systematically determines the optimal number and arrangement of system components through a three-tier nested algorithmic framework. The innovation lies in a generalized algorithm that iteratively evaluates different structural configurations, optimizing pressure distributions to identify the optimal system architecture for maximum power output. Application of the methodology yields a 4.96 % increase in power generation, accompanied by reductions in turbine ou

SUBMITTER: Pazuki MM 

PROVIDER: S-EPMC12550582 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature