Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
VG Nguyen, P Sharma, Ü Ağbulut… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …
increasing demand for sustainable energy. Efficient management systems are needed in …
Design and optimization of heat sinks for the liquid cooling of electronics with multiple heat sources: a literature review
This paper presents a detailed literature review on the thermal management issue faced by
electronic devices, particularly concerning uneven heating and overheating problems …
electronic devices, particularly concerning uneven heating and overheating problems …
The predictive management in campus heating system based on deep reinforcement learning and probabilistic heat demands forecasting
M Chen, Z Xie, Y Sun, S Zheng - Applied Energy, 2023 - Elsevier
As a promising technology for replacing the rule-based decision-making in region heating
systems (RHS), deep reinforcement learning (DRL) is a practical solution to identify the …
systems (RHS), deep reinforcement learning (DRL) is a practical solution to identify the …
Deep operator learning-based surrogate models with uncertainty quantification for optimizing internal cooling channel rib profiles
This paper focuses on designing surrogate models that have uncertainty quantification
capabilities to effectively improve the thermal performance of rib-turbulated internal cooling …
capabilities to effectively improve the thermal performance of rib-turbulated internal cooling …
[HTML][HTML] Design optimization of a shell-and-tube heat exchanger with disc-and-doughnut baffles for aero-engine using one hybrid method of NSGA II and MOPSO
Z Xu, X Ning, Z Yu, Y Ma, Z Zhao, B Zhao - Case Studies in Thermal …, 2023 - Elsevier
A performance prediction model is built utilizing Slipcevie method and the experimental
verification results show that the average errors of Q, ΔP t, ΔP s are 4.4%, 5.3%, 6.0 …
verification results show that the average errors of Q, ΔP t, ΔP s are 4.4%, 5.3%, 6.0 …
A physics-driven and machine learning-based digital twinning approach to transient thermal systems
Purpose In this study, the authors propose a novel digital twinning approach specifically
designed for controlling transient thermal systems. The purpose of this study is to harness …
designed for controlling transient thermal systems. The purpose of this study is to harness …
[HTML][HTML] Deep reinforcement learning and mesh deformation integration for shape optimization of a single pin fin within a micro channel
Advancements in machine learning have fueled a growing trend towards automating design
optimization in heat transfer applications, moving away from traditional, manually-intensive …
optimization in heat transfer applications, moving away from traditional, manually-intensive …
[HTML][HTML] Optimising shapes of multiple pin fins in a microchannel using deep reinforcement learning and mesh deformation techniques
The utilisation of advanced pin fin designs in microchannels is useful for enhancing cooling
efficiency. Advancements in machine learning and processing power have sparked interest …
efficiency. Advancements in machine learning and processing power have sparked interest …
[HTML][HTML] DRLFluent: A distributed co-simulation framework coupling deep reinforcement learning with Ansys-Fluent on high-performance computing systems
For active flow control (AFC), several frameworks have been developed to enable dynamic
interactions between deep reinforcement learning (DRL) agents and computational fluids …
interactions between deep reinforcement learning (DRL) agents and computational fluids …
Forced convection heat transfer control for cylinder via closed-loop continuous goal-oriented reinforcement learning
Y Liu, F Wang, S Zhao, Y Tang - Physics of Fluids, 2024 - pubs.aip.org
Forced convection heat transfer control offers considerable engineering value. This study
focuses on a two-dimensional rapid temperature control problem in a heat exchange …
focuses on a two-dimensional rapid temperature control problem in a heat exchange …