Journal
ENERGIES
Volume 15, Issue 2, Pages -Publisher
MDPI
DOI: 10.3390/en15020574
Keywords
battery storage system (BSS); combined heat and power system (CHP); electric vehicle (EV); real coded genetic algorithm (RCGA); renewable energy system (RES); smart building energy management system (SBEMS)
Categories
Funding
- Taif University Researchers Supporting Project, Taif University, Taif, Saudi Arabia [TURSP-2020/331]
Ask authors/readers for more resources
Energy consumption in buildings is expected to increase by 40% in the next 20 years, necessitating the development of energy improvement strategies. The introduction of a smart energy management system in buildings has gained momentum worldwide due to its potential in saving energy costs.
Energy consumption in buildings is expected to increase by 40% over the next 20 years. Electricity remains the largest source of energy used by buildings, and the demand for it is growing. Building energy improvement strategies is needed to mitigate the impact of growing energy demand. Introducing a smart energy management system in buildings is an ambitious yet increasingly achievable goal that is gaining momentum across geographic regions and corporate markets in the world due to its potential in saving energy costs consumed by the buildings. This paper presents a Smart Building Energy Management system (SBEMS), which is connected to a bidirectional power network. The smart building has both thermal and electrical power loops. Renewable energy from wind and photo-voltaic, battery storage system, auxiliary boiler, a fuel cell-based combined heat and power system, heat sharing from neighboring buildings, and heat storage tank are among the main components of the smart building. A constraint optimization model has been developed for the proposed SBEMS and the state-of-the-art real coded genetic algorithm is used to solve the optimization problem. The main characteristics of the proposed SBEMS are emphasized through eight simulation cases, taking into account the various configurations of the smart building components. In addition, EV charging is also scheduled and the outcomes are compared to the unscheduled mode of charging which shows that scheduling of Electric Vehicle charging further enhances the cost-effectiveness of smart building operation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available