Indoor Lighting Study: case of UDES’ Solar Smart House Bou-Ismail-Algeria

In the residential sector, the energy consumed for lighting represents an important amount of the total energy consumption in a typical house. In this paper, a lighting system in a solar smart house prototype in Bou-Ismail, Algeria, has been studied. This study focuses on the optimization of lighting and the energy consumption in the house, where the experimental and the simulation of the light distribution in the house was carried out using DIALux software. The purpose is to find the most suitable devices that are able to reduce lighting energy consumption and still ensure an optimal visual comfort inside the house. The obtained results show the efficiency of the proposed lighting system, where a reduction in energy consumption of 55.87% has been achieved

A fast and accurate global maximum power point tracking controller for photovoltaic systems under complex partial shadings

The operating conditions of partially shaded photovoltaic (PV) generators created a need to develop highly efficient global maximum power point tracking (GMPPT) methods to increase the PV system performance. This paper proposes a simple, efficient, and fast GMPPT based on fuzzy logic control to reach the point of global maximum power. The approach measures the PV generator current in the areas where it is almost constant to estimate the local maximums powers and extracts the highest among them. The performance of this method is evaluated firstly by simulation versus four well-known recent methods, namely the hybrid particle swarm optimization, modified cuckoo search, scrutinization fast algorithm, and shade-tolerant maximum power point tracking (MPPT) based on current-mode control. Then, experimental verification is conducted to verify the simulation findings. The results confirm that the proposed method exhibits high performance for complex partial irradiances and can be implemented in low-cost calculators