Building integrated photovoltaic (BIPV) energy has now become one of the most significant renewable energy alternatives for providing natural daylight and clean energy. As such, this study was conducted for the first time in Algeria to experimentally evaluate the BIPV window energy and lighting energy savings of a typical office building under the semi-arid climate condition. Apart from using the Energy Plus and Integrated Environment Solution-Virtual environment (IES-VE) energy simulation tools in the experimental validation, the daylighting control method and the dynamic Useful Daylight Illuminance (UDI) were also utilized to analyse the daylighting performance as well as the lighting energy of BIPV windows with different transparency levels at various cardinal orientations. The field measurements had revealed the overall energy model to be consistent and in good agreement with the EnergyPlus and the IESVE simulation models, where the tested PV module was found to have provided not only a 20% Visible Light Transmittance (VLT) of uniformed daylight with low illuminance level, but also thermal comfort and a considerable amount of clean energy. The simulated results had demonstrated a substantial improvement in cooling energy and glare reduction of the PV modules as compared to the base-model, where the only BIPV window configuration was achieved good area of UDI300-700lux is facing the South orientation and 30%VLT. In conclusion, the application of the thin film BIPV windows with different transparency and orientation levels can thus be regarded as an effective solution for minimizing the lighting energy consumption through its energy production instead of daylighting utilization.

Dynamic daylight simulations are very useful instruments in daylighting design process. They allow an in depth analysis of indoor daylight availability levels and define if they are adequate to perform a particular visual task. Their results can be used to design shading devices or lighting control systems and compare different technical solutions. The use of these simulations is likely to spread in the common design practice since some regulations and green building rating systems suggest their use. This paper presents dynamic daylight simulation results related to an open-plan office, performed with Autodesk 3ds Max Design ® , which is a calculation software validated by recent researches. It is not used in academic context but it is very widespread between technicians for photorenderings production purposes. The goal of this research is to demonstrate the functionality of this software also in dynamic daylight simulations field and propose an analysis' methodology to use it.

Different designs have been presented to achieve high concentration and uniformity for the concentrated photovoltaic (CPV) system. Most of the designs have issues of low efficiency in terms of irradiance uniformity. To this end, we present a design methodology to increase irradiance uniformity over solar cell. The system consists of an eight-fold Fresnel lens as a primary optical element (POE) and an optical lens, which consists of eight parts, as a secondary optical element (SOE). Sunlight is focused through the POE and then light is spread over cell through the SOE. In the design, maximum sunlight is passed over cell by minimizing losses. Results have shown that the proposed CPV design gives good irradiance uniformity. The concentration module based on this novel design is a promising option for the development of a cost-effective photovoltaic solar energy generation.

The generation of 3D models of buildings has been proved as a useful procedure for multiple applications related to energy, from energy rehabilitation management to design of heating systems, analysis of solar contribution to both heating and lighting of buildings. In a greater scale, 3D models of buildings can be used for the evaluation of heat islands, and the global thermal inertia of neighborhoods, which are essential knowledge for urban planning. This paper presents a complete methodology for the generation of 3D models of buildings at big-scale: neighborhoods, villages; including thermographic information as provider of information of the thermal behavior of the building elements and ensemble. The methodology involves sensor integration in a mobile unit for data acquisition, and data processing for the generation of the final thermographic 3D models of urban environment.