scholarly journals Off-grid rural electrification using integrated renewable energy sources

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Fortune Chukwuebuka Amanze ◽  
Destiny Josiah Amanze
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Hybrid System ◽  
Renewable Energy Sources ◽  
Global Radiation ◽  
Optimal System ◽  
Performance Criteria ◽  
Biodiesel Fuel ◽  
System Combination ◽  
Battery Bank

Presented in this study is an economic and technical evaluation to determine the optimal system combination for off-grid power generation based on solar, wind and biodiesel renewable energy resource. Nsukka being endowed with high intensity solar radiation, adequate wind speed and sufficient bioresource is a prospective candidate for a hybrid system. The monthly average daily global radiation ranges from 3.91kWh/m2 to 5.74kWh/m2 and the average wind speed is about 2.64m/s. This system was designed to meet the load requirement of the school with annual electrical demand of 10,163 MWh. Sensitivity analysis was carried out based on the effect of change in biodiesel fuel price and interest rates on the economic performance criteria of the optimal configuration. The optimum hybrid system is composed of 1kW capacity PV system, auto sized biodiesel generator and battery bank of 820h of autonomy. The Levelized Cost of Energy from the optimal system was found to be $0.0898/kWh based on sensitivity results. These results obtained shows that an integrated system with combination of PV, biodiesel generator and battery bank is a cost-effective alternative to grid extension which cost $0.126/kWh. The system life span is for 25years and it is sustainable, economical, technically feasible and environmentally friendly.

scholarly journals Assessment of Decentralized Electricity Production from Hybrid Renewable Energy Sources for Sustainable Energy Development in Nigeria

2019 ◽  
Vol 9 (1) ◽  
pp. 72-89 ◽  
Author(s):  
Sunday Olayinka Oyedepo ◽  
Theophilus Uwoghiren ◽  
Philip Olufemi Babalola ◽  
Stephen C. Nwanya ◽  
Oluwaseun Kilanko ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Solar Radiation ◽  
Hybrid System ◽  
Sustainable Energy ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Electricity Production ◽  
Weather Data ◽  
Renewable Energy Resource

AbstractThis paper presents technical and economic assessment of a hybrid energy system for electricity generation in rural communities in the six geopolitical zones of Nigeria. The study was based on a 500 rural household model having an electric load of 493 kWh per day. To simulate long-term continuous implementation of the hybrid system, 21 years (1992 – 2012) hourly mean global solar radiation and wind speed data for the selected sites were used. The mean annual wind speed and solar radiation for the locations ranged from 2.31 m/s for Warri to 3.52 m/ s for Maiduguri and 4.53 kWh/m2 for Warri to 5.92 kWh/m2 for Maiduguri, respectively. These weather data were used for simulation with the Micro-power Optimization Model software HOMER. From the optimum results of the hybrid system,Warri has the highest NPC and COE of $2,441,222 and $0.721/kWh, respectively while Maiduguri has the least NPC and COE of $2,225,387 and $0.658/kWh, respectively for the 21 years project lifespan. The high value of COE for Warri is due to its low renewable energy resource while low COE for Maiduguri is due to its high renewable energy resource. The Northern part of the country has ample renewable energy resource availability and with a strong political will, optimal utilization of these renewable resources (solar and wind) can be actualized. Researchers, Industrialists, Policy Makers and the Nigerian government should therefore seize this opportunity in developing a sustainable energy through utilization of abundant renewable energy resources in the country.

scholarly journals Optimal Sizing of a Pv-Wind Hybrid System Using Measured and Generated Database

2021 ◽  
Vol 03 (01) ◽  
pp. 34-44
Author(s):  
Abdellah Benallal ◽  
◽  
Nawel Cheggaga ◽  
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Turbine ◽  
Hybrid Systems ◽  
Hybrid System ◽  
Measured Data ◽  
Electrical Load ◽  
Wind Potential ◽  
Simulation Results ◽  
The Cost

Renewable energy hybrid systems give a good solution in isolated sites, in the Algerian desert; wind and solar potentials are considerably perfect for a combination in a renewable energy hybrid system to satisfy local village electrical load and minimize the storage requirements, which leads to reduce the cost of the installation. For a good sizing, it is essential to know accurately the solar potential of the installation area also wind potential at the same height where wind electric generators will be placed. In this work, we optimize a completely autonomous PV-wind hybrid system and show the techno-economical effects of the height of the wind turbine on the sizing of the hybrid system. We also compare the simulation results obtained from using wind speed measured data at 10 meters and 40 meters of height with the ones obtained from using wind speed extrapolation on HOMER software.

scholarly journals Forecasting Wind Speed in Peninsular Malaysia: An Application of ARIMA and ARIMA-GARCH Models

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Nor Hafizah Hussin ◽  
Fadhilah Yusof ◽  
‘Aaishah Radziah Jamaludin ◽  
Siti Mariam Norrulashikin
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Renewable Energy Sources ◽  
Arima Model ◽  
Quantitative Measure ◽  
Peninsular Malaysia ◽  
Percentage Error ◽  
Arch Effect ◽  
Accuracy Measure ◽  
Lm Test

In the global energy context, renewable energy sources such as wind is considered as a credible candidate for meeting new energy demands and partly substituting fossil fuels. Modelling and forecasting wind speed are noteworthy to predict the potential location for wind power generation. An accurate forecasting of wind speed will improve the value of renewable energy by enhancing the reliability of this natural resource. In this paper, the wind speed data from year 1990 to 2014 in 18 meteorological stations throughout Peninsular Malaysia were modelled using the Autoregressive Integrated Moving Average (ARIMA) to forecast future wind speed series. The Ljung-Box test was used to determine the presence of serial autocorrelation, while the Engle’s Lagrange Multiplier (LM) test was used to investigate the presence of Autoregressive Conditional Heteroscedasticity (ARCH) effect in the residual of the ARIMA model. In this study, three stations showed good fit using the ARIMA modelling since no serial correlation and ARCH effect were present in the residuals of the ARIMA model, while the ARIMA-GARCH had proven to precisely capture the nonlinear characteristic of the wind speed daily series for the remaining stations. The forecasting accuracy measure used was based on the value of root mean square error (RMSE) and mean absolute percentage error (MAPE). Both ARIMA and ARIMA-GARCH model proposed provided good forecast accuracy measure of wind speed series in Peninsular Malaysia. These results will help in providing a quantitative measure of wind energy available in the potential location for renewable energy conversion.

scholarly journals KONDISI CUACA PADA SAAT JATUHNYA KINCIR ANGIN DI BARON TECHNOPARK YOGYAKARTA

2013 ◽  
Vol 14 (2) ◽  
pp. 69
Author(s):  
Erwin Mulyana
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Tropical Cyclone ◽  
Power Plants ◽  
Rainfall Intensity ◽  
Renewable Energy Sources ◽  
The Other ◽  
Energy Sources ◽  
Maximum Rainfall ◽  
The Indian Ocean

Intisari  Pembangkit listrik tenaga angin merupakan salah satu sumber energi terbarukan yang sifatnya ramah lingkungan. Pada tanggal 10 Januari 2013 salah satu kincir angin pembangkit listrik di Baron Technopark jatuh sementara  satu kincir angin yang lainnya baling balingnya patah. Kejadian tersebut terkait dengan adanya siklon tropis Narelle di Samudera Hindia sebelah selatan Nusa Tenggara. Pada saat kejadian, kecepatan angin di kawasan Baron Technopark mencapai 35 knot pada level ketinggian 850 mb. Intensitas hujan maksimum terjadi pada jam 01 WIB tanggal 10 Januari 2013 dengan intensitas 6 mm/3 jam. Kemungkinan besar pada saat kincir angin jatuh terjadi kecepatan angin sesaat (gust) yang sangat kuat. Diperkirakan kecepatannya mencapai lebih dari 75 knot.Abstract  Wind power is one of the renewable energy sources that are environmentally friendly. On January 10, 2013 one of windmill power plants in the Baron Technopark fall whiles the other windmill blades broken. The incident related to the presence of tropical cyclone Narelle in the Indian Ocean south of Nusa Tenggara. At the time of the incident, the wind speed in the Baron Technopark reached 35 knots at an altitude of 850 mb level. The maximum rainfall intensity occurred at 01 pm on January 10, 2013 with the intensity of 6 mm / 3 hours. Most likely at the time of the windmill wind speed falls occur shortly (gust) is very strong. It is estimated that the speed reached more than 75 knots.

scholarly journals Features of operation of wind power stations as an supplementary source of electricity for non-traction consumers of railway electric mains

2019 ◽  
pp. 36-41
Author(s):  
Kachan Yu ◽  
Kuznetsov V
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Wind Power ◽  
Wind Turbines ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Energy Sources ◽  
Railway Transport ◽  
Supply Systems

Purpose. Identify the features of operation of wind farms as an auxiliary supplier of electricity for non-traction consumers of railway networks and analyze the main factors that directly affect the use of wind farms due to the random nature of wind flow and additional factors due to the above conditions in different climates. The research methodology is based on modern methods of computational mathematics, statistics and information analysis using modern computer technology. Findings. The need to use renewable energy sources in the power supply systems of non-traction consumers of railway transport is obvious. Given the constant growth of prices and tariffs for electricity in Ukraine, more and more attention is paid to its savings and the search for the cheapest and most affordable alternative sources. The authors consider issues related to the possibility of using additional generation of electricity in the power supply systems of railway transport through the use of wind turbines, including for non-traction consumers. The analysis of wind flow features in some regions of Ukraine was carried out, and the measurement of wind speed in Zaporizhia and Dnipropetrovsk regions was obtained with the help of a compact wind speed sensor manufactured by Micro-Step-MIS LLC (Russia). The obtained values of wind speed were recorded and stored digitally. The received information of the above device was processed. The authors conclude that in the case of using wind turbines as an additional power source in the networks of non-traction consumers of railway power supply systems it is economically advantageous to connect them directly to these networks and fully use all electricity produced by them, reducing its consumption from this power supply system. The originality is that the use of renewable energy sources in the power supply systems of non-traction consumers of railway transport, in particular wind turbines, is proposed. Practical implications. Introduction of wind power plants as an auxiliary supplier of electricity for non-traction consumers of railway power grids in order to minimize electricity costs. Keywords: renewable energy sources, quality of electric energy, wind power plant, power supply networks of railway transport, non-traction consumers of railway electric networks, electricity production, wind speed.

Evaluation of the wind conditions for the acquisition of energy from renewable sources on the base of Sosnowiec city

2013 ◽  
Vol 2 (1) ◽  
pp. 75-81
Author(s):  
Sonia Sarapata
Keyword(s):  
Renewable Energy ◽  
Wind Speed ◽  
Positive Impact ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Renewable Energy Resources ◽  
Average Wind Speed ◽  
Sustainable Solutions ◽  
Average Wind ◽  
High Volatility

Abstract Inherent in the continuous development of civilization is a constant increase in demand for electricity. The result of this situation could be a threat to cover domestic demand for electricity generated from domestic sources. It is significant therefore, to increase the energy security of the country, as well as to generate a positive impact on the development and dynamics of social and economic processes which is carried by the development of renewable energy sources. A crucial argument for the need to implement new sustainable solutions is growing environmental degradation and pollution resulting from the acquisition and use of non-renewable energy resources. Renewable energy resource for interest of this analysis is the wind. A crucial feature of the wind is its high volatility. Wind speed is characterized by diurnal, seasonal and long-term variation. The study area is Sosnowiec city. The analysis covers the data from the period 2002 - 2011 obtained using a meteorological station located in the Department of Earth Sciences, University of Silesia in Sosnowiec. Analyzed data are observations of wind speed measured at the height of 10m above the ground - average values of 10 minutes. The mean and maximum daily, monthly and annual values of wind speed have been calculated, and on their basis, a relevant analysis have been made. Average wind speed value for the analyzed area of the analyzed period (2002 - 2011) is 1,70m/s, while the maximum wind speed value is 3,78m/s. Sosnowiec is located in zone IV - unfavorable for the use of wind energy.

Statistical downscaling of wind speed time series data based on topographic variables

2021 ◽  
Author(s):  
Wenxuan Hu ◽  
Yvonne Scholz ◽  
Madhura Yeligeti ◽  
Lüder von Bremen ◽  
Marion Schroedter-Homscheidt
Keyword(s):  
Time Series ◽  
Renewable Energy ◽  
Wind Speed ◽  
Statistical Downscaling ◽  
Renewable Energy Sources ◽  
Reanalysis Data ◽  
Energy Sources ◽  
Observation Data ◽  
Weather Station ◽  
Local Topography

<p>Renewable energy sources such as wind energy play a crucial role in most climate change mitigation scenarios because of their ability to significantly reduce energy-related carbon emissions. In order to understand and design future energy systems, detailed modeling of renewable energy sources is important. In the light of making energy system modelling possible at all variability scales of local weather conditions, renewable energy source information with high resolution in both space and time are required.</p><p>Nowadays, renewable energy resources data that are widely used among the energy modeling community are reanalysis data such as ERA5, COSMO REA6, and MERRA2. Taking wind speed as an example, reanalysis data can provide long term spatially resolved wind information on any desired height in a physically consistent way. However, their spatial resolution is coarse. In order to obtain a fine spatial resolution data focusing on wind speed, this paper proposes a statistical downscaling method based on reanalysis data, observation data, and the local topography.</p><p>While most statistical wind downscaling studies have focused on obtaining site specific data or downscaling probability density functions, this paper focuses on downscaling one-year hourly wind speed time series for Europe to 0.00833 degree X 0.00833 degree (approximately 1km X 1km) resolution. It has been proven by various studies that the local topography influences wind speed. The topographic structure in this study is determined by two metrics: TPI, a topographic position index that compares the elevation of each cell to the mean elevation of the neighborhood areas and Sx, a slope-based, direction-dependent parameter that describes the topography in the upwind direction. The observation data used in this study are MeteoSwiss measurement values which provide the hourly wind speed time series at the station heights. For each weather station with observation data, biases described by the local terrain features are introduced to minimize the root mean square error (RMS) and Kolmogorov-Smirnov D (KSD) statistic between the corrected and the observed wind speed. These biases are then assigned to grid points with the same terrain types as the weather station, which enables downscaling of the wind speed for whole Europe.</p><p>The results show that this downscaling method can improve the RMS and KSD for both ERA5 and COSMO REA6, especially at mountain ridges, which indicates that it can not only decrease the bias, but also provide a better match to the observed wind speed distributions.</p>

Optimization of Smart Grid Solar Energy Application

2014 ◽  
Author(s):  
Olumide Bello ◽  
Landon Onyebueke
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Peak Load ◽  
Energy Integration ◽  
Electric Vehicle Charging ◽  
Battery Bank ◽  
Vehicle Charging

This paper presents an approach to modeling of renewable energy integration into Smart Grid for Electric Vehicle charging applications. Integration of renewable energy sources to smart grid is not only the key to smart Electric Vehicle charging but also the most efficient way to manage the distributed energy resources. It enables the ability to control, ease the peak load impacts, and protect distribution network components from being overloaded by Electric Vehicles. Thus, the electricity generation and consumption is managed in more cost effective way. The developed model is a grid connected solar-assisted Electric Vehicle charging station, with battery bank. It generates electricity using solar photovoltaic (PV) arrays to augment the electricity used to charge the electric vehicles. The battery bank stores electricity from the grid and discharges the stored energy during periods of peak charging demand. Optimization of the model was done by developing a program written in Visual Basic 2012. The computational results show the economic advantages of this model as well as the anticipated benefits of the smart grid for reduced peak loads, and increased efficiency.

Application of the Hybrid System of Solar Energy and Geothermal Heat Pump in Buildings

2011 ◽  
Vol 374-377 ◽  
pp. 137-140
Author(s):  
Hua Zhang ◽  
Hui Zhang
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Heat Pump ◽  
Hybrid System ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Operational Mode ◽  
Geothermal Heat ◽  
Geothermal Heat Pump ◽  
The Way

The hybrid system of solar energy and geothermal heat pump (GHP) can put the advantages of the two renewable energy sources together and make up the deficiencies of each other. The concept and the development of the hybrid system are introduced; the work principle and the operational mode of the system are analyzed. Through the introduction of two instances, this paper analyzes the way of the system in buildings and the saving potential applying the hybrid system.

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