[HTML][HTML] Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges
Organic Rankine cycle systems are suitable technologies for utilization of low/medium-
temperature heat sources, especially for small-scale systems. Waste heat from engines in …
temperature heat sources, especially for small-scale systems. Waste heat from engines in …
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 …
[HTML][HTML] Overview on artificial intelligence in design of Organic Rankine Cycle
Converting thermal energy into mechanical work by means of Organic Rankine Cycle is a
validated technology to exploit low-grade waste heat. The typical design process of Organic …
validated technology to exploit low-grade waste heat. The typical design process of Organic …
An LSTM short-term solar irradiance forecasting under complicated weather conditions
Y Yu, J Cao, J Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Complicated weather conditions lead to intermittent, random and volatility in photovoltaic
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
Thermophysical profile of graphene oxide and MXene hybrid nanofluids for sustainable energy applications: Model prediction with a Bayesian optimized neural …
Nanofluids (NFs) as heat transfer fluids (HTFs) have enormous promise in heat exchange
systems. One of the key problems for the use of NFs is how to balance effective thermal …
systems. One of the key problems for the use of NFs is how to balance effective thermal …
Performance prediction of a cryogenic organic Rankine cycle based on back propagation neural network optimized by genetic algorithm
Z Tian, W Gan, X Zou, Y Zhang, W Gao - Energy, 2022 - Elsevier
In this paper, a performance prediction model of the cryogenic ORC was presented based
on the back propagation neural network optimized by the genetic algorithm (BPNN-GA) …
on the back propagation neural network optimized by the genetic algorithm (BPNN-GA) …
An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model
X Ping, F Yang, H Zhang, C Xing, A Yang… - … Applications of Artificial …, 2023 - Elsevier
The efficient and accurate model construction of an organic Rankine cycle (ORC) system is
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
the key to its analysis, prediction, and optimization. As a typical multidisturbance nonlinear …
Detection of COVID-19 chest X-ray using support vector machine and convolutional neural network
This study aims to detect whether patients examined are healthy, Coronavirus positive, or
just have pneumonia based on chest X-ray data using Convolutional Neural Network …
just have pneumonia based on chest X-ray data using Convolutional Neural Network …
Applying artificial neural network to approximate and predict the transient dynamic behavior of CO2 combined cooling and power cycle
J He, L Shi, H Tian, X Wang, X Sun, M Zhang, Y Yao… - Energy, 2023 - Elsevier
The CO 2 combined cooling and power cycle (CCP) is a promising alternative for waste heat
recovery due to its environmental friendliness and excellent performance. However, the …
recovery due to its environmental friendliness and excellent performance. However, the …
Machine learning prediction of ORC performance based on properties of working fluid
Y Peng, X Lin, J Liu, W Su, N Zhou - Applied Thermal Engineering, 2021 - Elsevier
In order to develop machine learning methods for performance prediction of basic ORC
(BORC) and regenerative ORC (RORC), thermodynamic properties of working fluids are …
(BORC) and regenerative ORC (RORC), thermodynamic properties of working fluids are …