Uncertainty models for stochastic optimization in renewable energy applications

A Zakaria, FB Ismail, MSH Lipu, MA Hannan - Renewable Energy, 2020 - Elsevier
With the rapid surge of renewable energy integrations into the electrical grid, the main
questions remain; how do we manage and operate optimally these surges of fluctuating …

Modeling and control of building-integrated microgrids for optimal energy management–a review

H Fontenot, B Dong - Applied Energy, 2019 - Elsevier
This paper reviews the system components, modeling, and control of microgrids for future
smart buildings in current literature. Microgrids are increasingly widely studied due to their …

Real-time energy management of a microgrid using deep reinforcement learning

Y Ji, J Wang, J Xu, X Fang, H Zhang - Energies, 2019 - mdpi.com
Driven by the recent advances and applications of smart-grid technologies, our electric
power grid is undergoing radical modernization. Microgrid (MG) plays an important role in …

Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective

S Zhan, A Chong - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …

Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art

H Thieblemont, F Haghighat, R Ooka, A Moreau - Energy and Buildings, 2017 - Elsevier
Energy storage systems play a crucial role in decreasing building energy consumption
during peak periods and expanding the use of renewable energies in buildings and …

Site demonstration and performance evaluation of MPC for a large chiller plant with TES for renewable energy integration and grid decarbonization

D Kim, Z Wang, J Brugger, D Blum, M Wetter, T Hong… - Applied energy, 2022 - Elsevier
Thermal energy storage (TES) for a cooling plant is a crucial resource for load flexibility.
Traditionally, simple, heuristic control approaches, such as the storage priority control which …

Microgrid control methods toward achieving sustainable energy management: A bibliometric analysis for future directions

MF Roslan, MA Hannan, PJ Ker, M Mannan… - Journal of Cleaner …, 2022 - Elsevier
Recently, numerous significant advances in control methods have been made in Microgrid
development especially in grid-connected mode to ensure a reliable and sustainable …

[HTML][HTML] Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm

J Reynolds, MW Ahmad, Y Rezgui, JL Hippolyte - Applied energy, 2019 - Elsevier
Decentralisation of energy generation and distribution to local districts or microgrids is
viewed as an important strategy to increase energy efficiency, incorporate more small-scale …

Dynamic thermal management for industrial waste heat recovery based on phase change material thermal storage

D Li, J Wang, Y Ding, H Yao, Y Huang - Applied energy, 2019 - Elsevier
To effectively utilize waste heat resulted in industrial production processes, this study
investigates the dynamic thermal management using phase change material (PCM) thermal …

[HTML][HTML] Hierarchical microgrid energy management in an office building

X **, J Wu, Y Mu, M Wang, X Xu, H Jia - Applied Energy, 2017 - Elsevier
A two-stage hierarchical Microgrid energy management method in an office building is
proposed, which considers uncertainties from renewable generation, electric load demand …