E3S Web Conf.
Volume 351, 202210th International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES’2022)
|Number of page(s)||4|
|Published online||24 May 2022|
Algorithm for optimizing the lifetime of solar batteries and the energy consumption of a smart house
1 Abdelmalek Essaadi University, Ecole Nationale des Sciences Appliquées, Maroc
2 Abdelmalek Essaadi University, Ecole Nationale des Sciences Appliquées, Maroc
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.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.