A Predictive Control Approach for Thermal Energy Management in Buildings

2021 ◽  
Author(s):  
Anass BEROUINE ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Mohamed Essaaidi
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Thermal Energy ◽  
Control Approach

scholarly journals Review of Control and Energy Management Approaches in Micro-Grid Systems

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 168
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El Kamoun ◽  
Mohammed Khaidar ◽  
...  
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
State Of The Art ◽  
Household Demand ◽  
Grid Systems ◽  
Control Approach ◽  
Micro Grid ◽  
Management Approaches ◽  
Air Conditioning Systems

The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems. Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings. A classification of approaches is also given in order to shed more light on the need for predictive control for energy management in MGs.

scholarly journals A Predictive Control Strategy for Energy Management in Micro-Grid Systems

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1666
Author(s):  
Abdellatif Elmouatamid ◽  
Radouane Ouladsine ◽  
Mohamed Bakhouya ◽  
Najib El kamoun ◽  
Khalid Zine-Dine
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Predictive Control ◽  
Energy Production ◽  
Storage Systems ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Energy Storage Systems ◽  
Control Approach ◽  
Variable Nature

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the variable nature of RESs and the limited size of energy storage systems require the deployment of adaptive control strategies for efficient energy balance. In this paper, a generalized predictive control (GPC) strategy is introduced for energy management (EM) in MG systems. Its main objective is to efficiently connect the electricity generators and consumers in order to predict the most suitable actions for energy flow management. In fact, based on energy production and consumption profiles as well as the availability of energy storage systems, the proposed EM will be able to select the best suitable energy source for supplying the building’s loads. It will efficiently manage the usage of energy storage and the utility grid while maximizing RESs power generation. Simulations have been conducted, using real-sitting scenarios, and results are presented to validate the proposed predictive control approach by showing its effectiveness for MG systems control.

scholarly journals A hierarchical distributed predictive control approach for microgrids energy management

2019 ◽  
Vol 48 ◽  
pp. 101536 ◽  
Author(s):  
Le Anh Dao ◽  
Alireza Dehghani-Pilehvarani ◽  
Achilleas Markou ◽  
Luca Ferrarini
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Control Approach
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