Particle-based high-temperature thermochemical energy storage reactors
Solar and other renewable energy driven gas-solid thermochemical energy storage (TCES)
technology is a promising solution for the next generation energy storage systems due to its …
technology is a promising solution for the next generation energy storage systems due to its …
[HTML][HTML] Solar driven calcium-looping for thermochemical energy storage system and carbon capture in power and cement industry: A review
Decarbonizing the energy and industrial sectors is critical for climate change mitigation.
Solar-driven calcium looping (CaL) has emerged as a promising thermochemical energy …
Solar-driven calcium looping (CaL) has emerged as a promising thermochemical energy …
Swept open moving particle reactor including heat recovery for solar thermochemical fuel production
Green hydrogen can be produced by thermochemical redox cycles utilizing concentrated
solar energy. A high solar-to-fuel efficiency, as well as a robust system design, is crucial. As …
solar energy. A high solar-to-fuel efficiency, as well as a robust system design, is crucial. As …
Measurement of flow properties coupled to experimental and numerical analyses of dense, granular flows for solar thermal energy storage
Granular flows of sintered bauxite proppants were examined along an inclined plane for
solar thermal energy storage applications. Granular flow properties needed to drive numeric …
solar thermal energy storage applications. Granular flow properties needed to drive numeric …
Radiative heat transfer in the discrete element method using distance based approximations
A model to estimate radiative heat transfer in particle beds is developed for use in the
Discrete Element Method (DEM). Monte Carlo ray tracing simulations are run to find the …
Discrete Element Method (DEM). Monte Carlo ray tracing simulations are run to find the …
A methodology for calibrating parameters in discrete element models based on machine learning surrogates
The discrete element method (DEM) is well suited for calculating the behaviour of bulk
materials. However, its application is limited because of the cumbersome calibration process …
materials. However, its application is limited because of the cumbersome calibration process …
Optimization of DEM parameters using multi-objective reinforcement learning
Abstract Simulations with the Discrete Element Method (DEM) have become prominent for
analyzing bulk behavior in various industries. For each application the material has to be …
analyzing bulk behavior in various industries. For each application the material has to be …
Adaptive AI-based surrogate modelling via transfer learning for DEM simulation of multi-component segregation
Segregation of granular materials is a critical challenge in many industries, often aimed at
being controlled or minimised. The discrete element method (DEM) offers valuable insights …
being controlled or minimised. The discrete element method (DEM) offers valuable insights …
Numerical investigation of gravity-driven particle flow along the trapezoidal corrugated plate for a moving packed bed heat exchanger
X Tian, F Zhu, Z Guo, J Zhang, J Yang, Q Wang - Powder Technology, 2022 - Elsevier
A heat transfer model based on the discrete element method was developed to investigate
the effect of the trapezoidal corrugated plate on heat transfer. Particles flow along a …
the effect of the trapezoidal corrugated plate on heat transfer. Particles flow along a …
[HTML][HTML] Analysis and optimization research on latch life of control rod drive mechanism based on approximate model
S Ling, W Li, T Yu, Q Deng, G Fu - Nuclear Engineering and Technology, 2021 - Elsevier
Abstract The Control Rod Drive Mechanism (CRDM) is an essential part of the reactor, which
realizes the start-stop and power adjustment of the reactor by lifting and lowering the control …
realizes the start-stop and power adjustment of the reactor by lifting and lowering the control …