Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
Computer aid models such as machine learning (ML) are massively observed to be
successfully applied in different engineering-related domains. The current research was …
successfully applied in different engineering-related domains. The current research was …
ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid
Organic Rankine cycle (ORC) has been demonstrated to extract useful work output from low-
grade heat sources like solar-thermal, biomass/biofuel combustion, geothermal, and waste …
grade heat sources like solar-thermal, biomass/biofuel combustion, geothermal, and waste …
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale …
This work examined the thermal performance of a small-scale solar organic Rankine cycle
system, in which a flat plate solar collector was employed to supply heat to the organic …
system, in which a flat plate solar collector was employed to supply heat to the organic …
An artificial intelligence approach for thermodynamic modeling of geothermal based-organic Rankine cycle equipped with solar system
A Khosravi, S Syri, X Zhao, MEH Assad - Geothermics, 2019 - Elsevier
Geothermal energy is a renewable resource that is constantly available. The low geothermal
well operating lifetime is the main challenge in using this type of renewable energy. This …
well operating lifetime is the main challenge in using this type of renewable energy. This …
Investigation of support vector machine and back propagation artificial neural network for performance prediction of the organic Rankine cycle system
S Dong, Y Zhang, Z He, N Deng, X Yu, S Yao - Energy, 2018 - Elsevier
Low temperature power generation system based on organic Rankine cycle (ORC) has
been a popular candidate for low grade heat utilization and recovery. To find a way to …
been a popular candidate for low grade heat utilization and recovery. To find a way to …
Assessment of renewable energy systems combining techno-economic optimization with energy scenario analysis
S Salehin, MT Ferdaous, RM Chowdhury, SS Shithi… - Energy, 2016 - Elsevier
Energy system modeling offers helpful insights for exploring the potential use of renewable
energy technologies in various applications. Different software tools are extensively used to …
energy technologies in various applications. Different software tools are extensively used to …
Performance prediction and optimization of an organic Rankine cycle (ORC) for waste heat recovery using back propagation neural network
Y Feng, YZ Liu, X Wang, ZX He, TC Hung… - Energy Conversion and …, 2020 - Elsevier
Performance prediction and multi-objective optimization for an organic Rankine cycle (ORC)
using back propagation (BP) neural network are investigated in this study. A 3 kW ORC …
using back propagation (BP) neural network are investigated in this study. A 3 kW ORC …
Machine learning for design and optimization of organic Rankine cycle plants: A review of current status and future perspectives
The organic Rankine cycle (ORC) is widely acknowledged as a sustainable power cycle.
However, the traditional approach commonly adopted for its optimal design involves …
However, the traditional approach commonly adopted for its optimal design involves …
Application of machine learning into organic Rankine cycle for prediction and optimization of thermal and exergy efficiency
Organic Rankine cycle (ORC) is a promising technology to recovery and utilization of low
grade thermal energy. In recent years, there are few researches on ORC performance …
grade thermal energy. In recent years, there are few researches on ORC performance …
Integration and Optimization of a Waste Heat Driven Organic Rankine Cycle for Power Generation in Wastewater Treatment Plants
The study focuses on achieving energy self-sufficiency in Wastewater Treatment Plants by
proposing a comprehensive model for integrating, sizing, and optimizing an Organic …
proposing a comprehensive model for integrating, sizing, and optimizing an Organic …