Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment-Reference-Cited by-同舟云学术

Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment

Published:2023-10 Issue: Volume:348 Page:121569
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ping Xu,Yang Fubin,Zhang Hongguang,Zhang Jian,Xing Chengda,Yan Yinlian,Yang Anren,Wang Yan

Funder

State Key Laboratory of Engines

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference65 articles.

1. Assessment of working fluids, thermal resources and cooling utilities for organic Rankine cycles: state-of-the-art comparison, challenges, commercial status, and future prospects;Qyyum;Energ Conver Manage,2022

2. Technical feasibility study of scroll-type rotary gasoline engine: A compact and efficient small-scale Humphrey cycle engine;Lu;Appl Energy,2018

3. An artificial neural network model of coastal erosion mitigation through wave farms;Rodriguez-Delgado;Environ Model Software,2019

4. Continuous thermally regenerative electrochemical systems for directly converting low-grade heat to electricity;Li;Nano Energy,2022

5. Multi-objective optimization of organic Rankine cycle systems considering their dynamic performance;Pili;Energy,2022

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