Steam-water dual heat source waste heat power generation system and heat economy optimization design method

CN116362128BActive Publication Date: 2026-07-03SOUTHWEST JIAOTONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHWEST JIAOTONG UNIV
Filing Date
2023-03-30
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

In the existing technology, there is little research on the structural design of ORC systems that use steam and hot water as a combined heat source. It is difficult to effectively recover waste heat, resulting in high energy consumption and high cost. Furthermore, it is difficult to achieve the optimization goal of minimizing power generation cost while maximizing net power output.

Method used

A steam-water dual-heat-source waste heat power generation system was designed, including a first generator, a steam expander, an evaporator, a preheater, an ORC expander, a second generator, a condenser, a liquid receiver, and a working fluid pump. By optimizing the system structure and parameters, and combining a second-generation non-dominated sorting genetic algorithm and a multi-objective optimization decision-making method, the optimal net output power and the optimal power generation cost were determined.

Benefits of technology

It achieves efficient recovery of waste heat from steam and hot water, reduces energy consumption and costs, improves the overall efficiency of industrial processes, and optimizes the economics of waste heat power generation systems, achieving the minimum power generation cost with maximum net output power.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a steam-water dual-heat-source waste heat power generation system and a thermal economy optimization design method. For different heat source parameters, a multi-objective optimization method with the goals of maximizing net power generation and minimizing power generation cost can be adopted. The Pareto front curve is calculated using a non-dominated sorting genetic algorithm (NSGA-II), and then combined with the best-in-best solution distance method (TOPSIS) and entropy weight method for decision-making, ultimately selecting the optimal design parameters. This invention can achieve the optimization objectives of maximizing net power output and minimizing power generation cost of this waste heat power generation system.
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