Renewable Energy Integration into Power Grids and Buildings
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 8023
Special Issue Editor
Special Issue Information
Dear Colleagues,
The integration of highly uncertain renewable energy sources to the grid and buildings is one of the major challenges of sustainable energy systems. Although energy storage devices and modern application of vehicles to the grid can reduce the uncertainties of renewable energy sources and provide ancillary services to the grid, resource allocation and control of distributed generation become a challenge for real-time control purposes. In addition, the building sector is the largest energy-consuming sector and should be dynamically controlled and optimized to provide grid services. Therefore, it is vital to develop robust optimization and resource allocation frameworks that not only can manage multiple energy resources to support the loads in grids and buildings but also minimize the adverse impacts of uncertainties and contingencies in the system. This Special Issue aims at acting as a bridge between research and development groups for state-of-the-art application of intelligent methods in modeling, optimizing, controlling, and designing frameworks that consider the interlinks between buildings and smart grids. We are looking for solutions that result in efficient resource allocation and control of integrated energy-building systems, especially when a high penetration of renewables and storage units exists. Researchers from academia, industry, and government are invited to submit their original and unpublished work to this Special Issue. The topics of interest include but are not limited to:
- Grid interactive buildings;
- Application of model-predictive control in grid optimization;
- Demand response through building energy management;
- Application of machine learning for optimization of grid and buildings;
- Application of machine learning for control of grid-integrated buildings;
- Real-time optimization and control of renewables integrated to buildings and grid.
Prof. Dr. Javad Khazaei
Guest Editor
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Keywords
- Grid optimization
- Grid-interactive buildings
- Resource allocation
- Machine learning in smart grids
- Demand response
- Building energy management system
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