An optimization framework development for organic rankine cycle driven by waste heat recovery: Based on the radial-inflow turbine

As the crucial component of the ORC-WHR system, the turbine not only directly influences the system's thermodynamic performance but also dominates the investment cost of ORC-WHR components. Therefore, making the turbine standardization or serialization is a promising way to reduce ORC-WHR system investment costs and promote its application. In this paper, a novel optimization framework for the ORC-WHR system is proposed which is based on the serialized turbine database, which highlights the matching degree between heat sources and turbines. The approach for constructing the turbine database was investigated firstly, then several case studies were conducted to illustrate the effectiveness and innovation of the proposed optimization framework. This research demonstrates that it is an effective way to realize ORC-WHR system optimization through optimally interpolating in a multi-dimensional space based on database characteristic parameters including Fluid(ORC), r(4), Ma(4), and R. This paper presents a totally new optimization idea for the ORC-WHR system and gives contributions to promoting its application.

Automated summary

This paper proposes an optimization framework for the ORC-WHR system based on a serialized turbine database. By investigating the construction method of the turbine database and conducting case studies, the effectiveness and innovation of the proposed framework are demonstrated. The optimization framework can reduce investment costs and promote the application of the ORC-WHR system.