Algorithm for optimizing the lifetime of solar batteries and the energy consumption of a smart house
The increase in energy demand as well as the problems related to the environment are two main factors that push developing countries to focus their interest on the smart house. Their installation will allow to reduce greenhouse gas emissions, fight against global warming and save energy. Indeed, a s...
Saved in:
| Published in: | E3S web of conferences Vol. 351; p. 1009 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
| Published: |
Les Ulis
EDP Sciences
2022
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The increase in energy demand as well as the problems related to the environment are two main factors that push developing countries to focus their interest on the smart house. Their installation will allow to reduce greenhouse gas emissions, fight against global warming and save energy. Indeed, a smart grid must be instrumental in both setting up a good management of the decentralized production which provides a reliable electrical supply, and in organizing the storage of energy in batteries which are the weak point of a smart house installation. The modeled and simulated system represents the most reliable management method, using an algorithm that will improve the photovoltaic production, to minimize the use of the public grid in order to reduce the energy cost. This algorithm decreases the charge/discharge cycle of the battery, and increases their longevity. The coming further researches would allow the identification of useful parameters that increase the lifetime of solar batteries in order to solve the current smart house problem. |
|---|---|
| ISSN: | 2267-1242 2555-0403 2267-1242 |
| DOI: | 10.1051/e3sconf/202235101009 |