Energy Optimization and Management in a Building Using Clean Energy

Author:

Abdelghani Hajji1,Yahya Lahlou2,Ahmed Abbou1

Affiliation:

1. Department of Electrical Engineering, Mohammed V University of Rabat Mohammadia School of Engineers, MOROCCO

2. Department of Physics, Ibn Tofail University, Faculty of Sciences, Kenitra, MOROCCO

Abstract

To lower the production of greenhouse gases while covering energy needs, it is necessary to exploit renewable energies in the urban environment and manage energy production and consumption as well. In this work, we interested in the study of a house using renewable energy sources such as photovoltaic (PV) panels, thermal panels and wind turbines (WT). The energy consumption happens through electrical charges like the refrigerator, the heat pump, the lighting... The main objective of this work is to change the operating time of secondary loads and to propose an energy management algorithm. Firstly, we will model the consumption of electrical charges and move the operation of secondary charges to moderate the consumed energy. Finally, we suggested an algorithm to manage and optimize energy production and consumption. The results show that the displacement of secondary loads reduces over 8.5% of the energy bill and the suggested algorithm optimizes the operation of the energy production equipment while covering the energy needs of the inhabitants.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Electrical and Electronic Engineering,Energy (miscellaneous)

Reference11 articles.

1. R.Vasaturo. “Impact of passive climate adaptation measures and building orientation on the energy demand of a detached lightweight semi-portable building” Build. Simul.11 (6), 1163–1177 (2018).

2. L.Pérez-Lombard. “A review on buildings energy consumption information”Energy Build. 40(3), 394–398 (2008).

3. Ky LE. “Gestion optimale des consommations d’énergie dans les bâtiments” Thèse de doctorat d’INP Grenoble. Grenoble, France; 2008.

4. M.Elsied, “ Gestion de l’énergie et optimisation du système multisources basée sur l’algorithme génétique” in: Symposium de Génie Électrique 2014. Cachan, France.

5. M.Abarkan and al. Analysis of Energy Consumption for a Bulding using Wind and Solar Energy Sources”, Energy Procedia, 2013; Volume 42, Pages 567_576.

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