This paper presents a review of the application of model predictive control strategies to active thermal energy storage systems. To date, model predictive control has been used to …
The integration of variable renewable energy (VRE) generation, ie, wind power and solar photovoltaic, brings significant uncertainty for the power system operation. Different with …
B Baeten, F Rogiers, L Helsen - Applied Energy, 2017 - Elsevier
Shifting residential space heating from the use of gas boilers towards the use of heat pumps is recognized as a method to reduce green house gas emissions and increase energy …
J Immonen, KM Powell - Energy Conversion and Management, 2022 - Elsevier
There is an increasing need to reduce fossil fuel consumption used for industrial process heat to slow the effects of climate change. Using solar thermal heat is a viable way to …
This study is aimed at a succinct review of practical impacts of grid integration of renewable energy systems on effectiveness of power networks, as well as often employed state-of-the …
The integration of thermal energy storage into a concentrating solar power system allows for mitigating some of the risk associated with uncertain solar irradiance and uncertain energy …
Concentrating solar power (CSP) plants are able to provide both renewable energy and operational flexibility at the same time due to its thermal energy storage (TES). It is ideal …
Z Wu, M Zhou, J Wang, E Du… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Concentrating solar power (CSP) has been advocated as a promising technology to mitigate the uncertainty in variable renewables generation due to its thermal storage capability. In …
This paper proposes a model for hierarchical combination of deep reinforcement learning (DRL) with quadratic programming for distribution system restoration after major outages. In …