• Energy Research

Exploiting natural sun and wind resources in remote and isolated areas is undoubtedly an excellent decision to generate electrical energy due to their availability and cleanliness. Various systems were used to generate this energy, such as photovoltaics (PV), wind turbine sand other energy systems. Moreover, for optimum energy use, some of these systems are combined either with each other or with other conventional systems, such as diesel generators with PV systems (i.e., hybrid systems). This work aims to present a technical-economic study of PV/diesel autonomous hybrid systems to supply electrical power for an isolated house located in a hot desert climate, Adrar. For optimizing the hybrid systems, hourly input data of solar radiation and load were used according to two configurations, where the annual load is 11.2 kWh/day. The findings showed that the diesel system had a high cost, with a cost for energy of $0.407/kWh and a fuel price of $0.140/l. Among the hybrid power systems but with significant pollution, the proposed hybrid system 2 kw photovoltaic and diesel generator with 2.3 kW has important economic feasibility, where the energy cost amounted to $0.172/kWh. In addition, CO2 emissions are reduced by approximately 5 tons every year compared to an independent diesel generator system.

Exploiting natural sun and wind resources in remote and isolated areas is undoubtedly an excellent decision to generate electrical energy due to their availability and cleanliness. Various systems were used to generate this energy, such as photovoltaics (PV), wind turbine sand other energy systems. Moreover, for optimum energy use, some of these systems are combined either with each other or with other conventional systems, such as diesel generators with PV systems (i.e., hybrid systems). This work aims to present a technical-economic study of PV/diesel autonomous hybrid systems to supply electrical power for an isolated house located in a hot desert climate, Adrar. For optimizing the hybrid systems, hourly input data of solar radiation and load were used according to two configurations, where the annual load is 11.2 kWh/day. The findings showed that the diesel system had a high cost, with a cost for energy of $0.407/kWh and a fuel price of $0.140/l. Among the hybrid power systems but with significant pollution, the proposed hybrid system 2 kw photovoltaic and diesel generator with 2.3 kW has important economic feasibility, where the energy cost amounted to $0.172/kWh. In addition, CO2 emissions are reduced by approximately 5 tons every year compared to an independent diesel generator system.

An objective analysis of the wind atlas map of the region of Adrar (Algeria) at a height of 10 meters above ground is essential, in order to classify these velocities according to the Pacific Northwest Laboratory (PNL) classification, and then to develop the separation velocity map. The present work is conducted in the region of Adrar to determine the monthly, seasonal, and annual energy generated by the Whisper200 wind turbine by using the Rayleigh distribution and the wind data recorded every three hours from January 1st, 1961 to December 31st, 2018. From the obtained findings, the northeast region of Adrar is a suitable region for wind applications. The surface of this area is equal to 16587 km², where two sites are located (Kaberten and Aougroute). However, the second PNL class is divided into seven zones. The wind speed in this region (2nd PNL class) is favourable for the setup of isolated wind turbines or hybrid systems. The following cities are located in this region (2nd PNL class): Adrar, Aoulef, Bordj Baji Mokthar, Timaiaouine, Regagne, and Timimoune.

An objective analysis of the wind atlas map of the region of Adrar (Algeria) at a height of 10 meters above ground is essential, in order to classify these velocities according to the Pacific Northwest Laboratory (PNL) classification, and then to develop the separation velocity map. The present work is conducted in the region of Adrar to determine the monthly, seasonal, and annual energy generated by the Whisper200 wind turbine by using the Rayleigh distribution and the wind data recorded every three hours from January 1st, 1961 to December 31st, 2018. From the obtained findings, the northeast region of Adrar is a suitable region for wind applications. The surface of this area is equal to 16587 km², where two sites are located (Kaberten and Aougroute). However, the second PNL class is divided into seven zones. The wind speed in this region (2nd PNL class) is favourable for the setup of isolated wind turbines or hybrid systems. The following cities are located in this region (2nd PNL class): Adrar, Aoulef, Bordj Baji Mokthar, Timaiaouine, Regagne, and Timimoune.

This work presents an experimental comparative investigation between Maximum power point tracking control methods used in variable speed wind turbines. In order to enhance the efficiency of the wind turbine system, the maximum power point tracking control has been applied for extracting and exploiting the maximum available wind power. Furthermore, two maximum power point tracking controls have been analyzed, developed, and investigated in real-time using Dspace. The first was optimal torque control without speed control, whereas the second was with speed control. The maximum power point tracking control performance comparison has been performed in a real-time experimental validation to illustrate the advantages of these control on the real wind energy system. The results have been achieved and discussed, where the power efficiency improvements appeared in the transit time and in the steady-state as well. In addition, the proposed optimal torque control for maximum power point tracking with speed control decreased the response time and oscillations, while it increased the power to an interval of 12,5% to 75% compared to that of strategy without speed control in the steady-state and transit state, respectively.

This work presents an experimental comparative investigation between Maximum power point tracking control methods used in variable speed wind turbines. In order to enhance the efficiency of the wind turbine system, the maximum power point tracking control has been applied for extracting and exploiting the maximum available wind power. Furthermore, two maximum power point tracking controls have been analyzed, developed, and investigated in real-time using Dspace. The first was optimal torque control without speed control, whereas the second was with speed control. The maximum power point tracking control performance comparison has been performed in a real-time experimental validation to illustrate the advantages of these control on the real wind energy system. The results have been achieved and discussed, where the power efficiency improvements appeared in the transit time and in the steady-state as well. In addition, the proposed optimal torque control for maximum power point tracking with speed control decreased the response time and oscillations, while it increased the power to an interval of 12,5% to 75% compared to that of strategy without speed control in the steady-state and transit state, respectively.

The aim of this paper is to assessment of wind energy resource in three Algerian highlands sites. The study is divided into two parts: The first part presents the mathematical models used in this study. The data were collected over a period of 13 year. The Weibull parameters k and c are determined and used for estimate the annual average wind speed and the power density for each site. The annual average wind speed for the selected sites ranged from 3.1 m/s (Bou Saada) to 4.2 m/s (M’sila) and the power density range from 20 W/m2 (El Bayed) to 35 W/m2 (M’sila); The second part determine the capacity factor and the annual average power supplied by the wind turbine, according to the six parameters: the wind characteristics (Weibull parameters k and C) and the characteristics of the CALORIUS 37 wind turbine (rated electrical power, cut-in wind speed, rated wind speed, furling wind speed and the diameter of the rotor).

The aim of this paper is to assessment of wind energy resource in three Algerian highlands sites. The study is divided into two parts: The first part presents the mathematical models used in this study. The data were collected over a period of 13 year. The Weibull parameters k and c are determined and used for estimate the annual average wind speed and the power density for each site. The annual average wind speed for the selected sites ranged from 3.1 m/s (Bou Saada) to 4.2 m/s (M’sila) and the power density range from 20 W/m2 (El Bayed) to 35 W/m2 (M’sila); The second part determine the capacity factor and the annual average power supplied by the wind turbine, according to the six parameters: the wind characteristics (Weibull parameters k and C) and the characteristics of the CALORIUS 37 wind turbine (rated electrical power, cut-in wind speed, rated wind speed, furling wind speed and the diameter of the rotor).