MOHAMMED A P A L A N D O Abdulrasaq (original) (raw)
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Papers by MOHAMMED A P A L A N D O Abdulrasaq
Nigerian Journal of Technology, 2014
British Journal of Applied Science & Technology, 2015
The use of models to simulate or predict impact of climate change on water resources management i... more The use of models to simulate or predict impact of climate change on water resources management is very vital due to continual increase in global warming which invariably affects most important natural resources in the environment. This paper provides an overview of the existing models used for evaluating climate change impact on water resources management. It also compares their relative advantages and drawbacks. It was found that no model can perform satisfactorily the assessment of climate change impact; hence it may be necessary to use one model to compliment the weakness of another. Global Circulation Model (GCM) is not easily accessible in developing countries due to sophistications and processes involved in running it. Moreso, the nature of available data and cost of acquiring it is high. The main advantage of Water Balance (WATBAL) model is that it can model climate change impact in water resources but its major drawback is that it requires many inputs of hydro-meteorological parameters. Regression and Artificial Neural Network (ANN) models are readily available and not too expensive. They can model climate change impact on water resources and hydropower operation. However, the drawback is that enormous data are required for ANN model calibration and operation. It is
Advances in Intelligent Systems and Computing, 2018
Hydropower dams are one of the many kinds of modifications that human beings make to natural wate... more Hydropower dams are one of the many kinds of modifications that human beings make to natural waterways, but they can have especially profound ramifications for riverine ecosystems and the animals that live in them. The operation of hydropower reservoirs in Nigeria does not take into cognizance the ecological situation of the reservoir as it may affect aquatic life that depend on it. This study is sought to model energy generation at Kainji hydropower reservoir, Nigeria considering ecological flow release (EFR) scenarios. Two neural network (NN) approaches were used to optimize the energy generation at the station using the current operating rule and incorporation of EFR scenarios. The study revealed that the correlation coefficients (r) for energy generation without considering EFR using multilayer perceptron neural network (MLPNN) and radial basis neural network (RBFNN) were 0.94 and 0.84, respectively. Average annual energy generation at the station using MLPNN and RBFNN approache...
This paper presents the investigation of hydropower potential of river Oshin via Babaloma in Ifel... more This paper presents the investigation of hydropower potential of river Oshin via Babaloma in Ifelodun Local Government Area of Kwara State, North Central, Nigeria. The inhabitants of the study area which is a cluster of three off-grid rural communities: Sangotayo, Budo Umoru and Idi Isin lack access to electrical energy despite the huge potential for renewable energy resources most especially, the hydropower potential. Water velocity of the river was measured using Flow Probe FP211 model. The measured water velocity was converted to discharge using relationship between the channel geometry and velocity. Relationship between measured discharge and water level was used to develop rating equation for the river. Net head was estimated using Digital Elevation Model (DEM) embedded in ArcGIS (ArcMap 10.3) software. The results revealed that the average water level and discharge were high in the month of May through November with discharges varying between 3.48 to 11.90 m3/s while water lev...
Nigerian Journal of Technology, 2014
The stream flow at the three hydropower reservoirs in Nigeria were modeled using hydro-meteorolog... more The stream flow at the three hydropower reservoirs in Nigeria were modeled using hydro-meteorological parameters and Artificial Neural Network (ANN). The model revealed positive relationship between the observed and the modeled reservoir inflow with values of correlation coefficient of 0.57, 0.84 and 0.92 for Kainji, Jebba and Shiroro hydropower reservoir respectively. The established model was used to predict 20 years stream-flow for each of the hydropower reservoirs which were found to have similar statistics with the observed values. The predicted reservoir inflow were subjected to trend analysis which revealed an upward trend with percentage increase of 4.58%, 6.34% and 5.42% for Kainji, Jebba and Shiroro hydropower reservoirs respectively. The upward trend is an indication of increase in water availability for hydropower generation at the three stations given other constraints are brought under control. http://dx.doi.org/10.4314/njt.v34i1.4
Slovak Journal of Civil Engineering, Sep 1, 2019
The management of water resources for different purposes such as a domestic water supply and muni... more The management of water resources for different purposes such as a domestic water supply and municipal, irrigation and hydropower generation requires optimization techniques for efficient reservoir operations. This study focused on the optimization of energy generation at Kainji hydropower station in Nigeria using operational and ecological integrity constraints. A linear optimization technique was used in optimizing the average total annual energy generation subject to operational and ecological integrity constraints. The model was solved using LINGO 17.0 software. The results revealed that the optimization approach would increase the total annual energy generation at the hydropower station by 1.84%. The outcome of this study can be adopted by the management of a hydropower station and other decision makers in Nigeria to improve the availability of electricity deployed to Nigeria's national grid without compromising the ecological integrity of a reservoir.
International Journal of Renewable Energy Development, 2021
There is a need to develop an optimization tool that can be applied in the feasibility study of a... more There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.00...
Slovak Journal of Civil Engineering, 2019
The management of water resources for different purposes such as a domestic water supply and muni... more The management of water resources for different purposes such as a domestic water supply and municipal, irrigation and hydropower generation requires optimization techniques for efficient reservoir operations. This study focused on the optimization of energy generation at Kainji hydropower station in Nigeria using operational and ecological integrity constraints. A linear optimization technique was used in optimizing the average total annual energy generation subject to operational and ecological integrity constraints. The model was solved using LINGO 17.0 software. The results revealed that the optimization approach would increase the total annual energy generation at the hydropower station by 1.84%. The outcome of this study can be adopted by the management of a hydropower station and other decision makers in Nigeria to improve the availability of electricity deployed to Nigeria’s national grid without compromising the ecological integrity of a reservoir.
Malaysian Journal of Civil Engineering, 2018
The objective of this study was to develop a multilayer perceptron neural network (MLPNN) and rad... more The objective of this study was to develop a multilayer perceptron neural network (MLPNN) and radial basic function neural network (RBFNN) model to predict the dissolved oxygen (DO) at some selected locations at the Kainji hydropower reservoir, Nigeria. The neural networks (NN) model was developed using water quality data collected over a six-year period (2010 to 2015). The NN structure was designed and trained using the SPSS neural network toolbox. The input variables to the NN were: pH, temperature, chloride (Cl-), PO43-, NO3-, Fe2+, and electrical conductivity (EC), while the output was the DO. The performance evaluation of the model was carried out using the coefficient of correlation (r), mean square error (MSE) and mean relative error (MRE). A positive correlation was observed between the actual and simulated DO at the four locations. The results of the simulation showed that the application of the NN and multiple regression analysis to predict DO concentration in water gave s...
Slovak Journal of Civil Engineering, 2016
This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographi... more This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographical Information System (GIS), the Global Positioning System (GPS) and a high-resolution Digital Elevation Model (DEM) for a morphometrical analysis of five sub-basins within the Lower Niger River Basin, Nigeria. Morpho-metrical parameters, such as the total relief, relative relief, relief ratio, ruggedness number, texture ratio, elongation ratio, circularity ratio, form factor ratio, drainage density, stream frequency, sinuosity factor and bifurcation ratio, have been computed and analyzed. The study revealed that the contribution of the morphometric parameters to flooding suggest catchment No. 1 has the least concentration time and the highest runoff depth. Catchment No. 4 has the highest circularity ratio (0.35) as the most hazardous site where floods could reach a great volume over a small area.
Nigerian Journal of Technology, 2014
British Journal of Applied Science & Technology, 2015
The use of models to simulate or predict impact of climate change on water resources management i... more The use of models to simulate or predict impact of climate change on water resources management is very vital due to continual increase in global warming which invariably affects most important natural resources in the environment. This paper provides an overview of the existing models used for evaluating climate change impact on water resources management. It also compares their relative advantages and drawbacks. It was found that no model can perform satisfactorily the assessment of climate change impact; hence it may be necessary to use one model to compliment the weakness of another. Global Circulation Model (GCM) is not easily accessible in developing countries due to sophistications and processes involved in running it. Moreso, the nature of available data and cost of acquiring it is high. The main advantage of Water Balance (WATBAL) model is that it can model climate change impact in water resources but its major drawback is that it requires many inputs of hydro-meteorological parameters. Regression and Artificial Neural Network (ANN) models are readily available and not too expensive. They can model climate change impact on water resources and hydropower operation. However, the drawback is that enormous data are required for ANN model calibration and operation. It is
Advances in Intelligent Systems and Computing, 2018
Hydropower dams are one of the many kinds of modifications that human beings make to natural wate... more Hydropower dams are one of the many kinds of modifications that human beings make to natural waterways, but they can have especially profound ramifications for riverine ecosystems and the animals that live in them. The operation of hydropower reservoirs in Nigeria does not take into cognizance the ecological situation of the reservoir as it may affect aquatic life that depend on it. This study is sought to model energy generation at Kainji hydropower reservoir, Nigeria considering ecological flow release (EFR) scenarios. Two neural network (NN) approaches were used to optimize the energy generation at the station using the current operating rule and incorporation of EFR scenarios. The study revealed that the correlation coefficients (r) for energy generation without considering EFR using multilayer perceptron neural network (MLPNN) and radial basis neural network (RBFNN) were 0.94 and 0.84, respectively. Average annual energy generation at the station using MLPNN and RBFNN approache...
This paper presents the investigation of hydropower potential of river Oshin via Babaloma in Ifel... more This paper presents the investigation of hydropower potential of river Oshin via Babaloma in Ifelodun Local Government Area of Kwara State, North Central, Nigeria. The inhabitants of the study area which is a cluster of three off-grid rural communities: Sangotayo, Budo Umoru and Idi Isin lack access to electrical energy despite the huge potential for renewable energy resources most especially, the hydropower potential. Water velocity of the river was measured using Flow Probe FP211 model. The measured water velocity was converted to discharge using relationship between the channel geometry and velocity. Relationship between measured discharge and water level was used to develop rating equation for the river. Net head was estimated using Digital Elevation Model (DEM) embedded in ArcGIS (ArcMap 10.3) software. The results revealed that the average water level and discharge were high in the month of May through November with discharges varying between 3.48 to 11.90 m3/s while water lev...
Nigerian Journal of Technology, 2014
The stream flow at the three hydropower reservoirs in Nigeria were modeled using hydro-meteorolog... more The stream flow at the three hydropower reservoirs in Nigeria were modeled using hydro-meteorological parameters and Artificial Neural Network (ANN). The model revealed positive relationship between the observed and the modeled reservoir inflow with values of correlation coefficient of 0.57, 0.84 and 0.92 for Kainji, Jebba and Shiroro hydropower reservoir respectively. The established model was used to predict 20 years stream-flow for each of the hydropower reservoirs which were found to have similar statistics with the observed values. The predicted reservoir inflow were subjected to trend analysis which revealed an upward trend with percentage increase of 4.58%, 6.34% and 5.42% for Kainji, Jebba and Shiroro hydropower reservoirs respectively. The upward trend is an indication of increase in water availability for hydropower generation at the three stations given other constraints are brought under control. http://dx.doi.org/10.4314/njt.v34i1.4
Slovak Journal of Civil Engineering, Sep 1, 2019
The management of water resources for different purposes such as a domestic water supply and muni... more The management of water resources for different purposes such as a domestic water supply and municipal, irrigation and hydropower generation requires optimization techniques for efficient reservoir operations. This study focused on the optimization of energy generation at Kainji hydropower station in Nigeria using operational and ecological integrity constraints. A linear optimization technique was used in optimizing the average total annual energy generation subject to operational and ecological integrity constraints. The model was solved using LINGO 17.0 software. The results revealed that the optimization approach would increase the total annual energy generation at the hydropower station by 1.84%. The outcome of this study can be adopted by the management of a hydropower station and other decision makers in Nigeria to improve the availability of electricity deployed to Nigeria's national grid without compromising the ecological integrity of a reservoir.
International Journal of Renewable Energy Development, 2021
There is a need to develop an optimization tool that can be applied in the feasibility study of a... more There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.00...
Slovak Journal of Civil Engineering, 2019
The management of water resources for different purposes such as a domestic water supply and muni... more The management of water resources for different purposes such as a domestic water supply and municipal, irrigation and hydropower generation requires optimization techniques for efficient reservoir operations. This study focused on the optimization of energy generation at Kainji hydropower station in Nigeria using operational and ecological integrity constraints. A linear optimization technique was used in optimizing the average total annual energy generation subject to operational and ecological integrity constraints. The model was solved using LINGO 17.0 software. The results revealed that the optimization approach would increase the total annual energy generation at the hydropower station by 1.84%. The outcome of this study can be adopted by the management of a hydropower station and other decision makers in Nigeria to improve the availability of electricity deployed to Nigeria’s national grid without compromising the ecological integrity of a reservoir.
Malaysian Journal of Civil Engineering, 2018
The objective of this study was to develop a multilayer perceptron neural network (MLPNN) and rad... more The objective of this study was to develop a multilayer perceptron neural network (MLPNN) and radial basic function neural network (RBFNN) model to predict the dissolved oxygen (DO) at some selected locations at the Kainji hydropower reservoir, Nigeria. The neural networks (NN) model was developed using water quality data collected over a six-year period (2010 to 2015). The NN structure was designed and trained using the SPSS neural network toolbox. The input variables to the NN were: pH, temperature, chloride (Cl-), PO43-, NO3-, Fe2+, and electrical conductivity (EC), while the output was the DO. The performance evaluation of the model was carried out using the coefficient of correlation (r), mean square error (MSE) and mean relative error (MRE). A positive correlation was observed between the actual and simulated DO at the four locations. The results of the simulation showed that the application of the NN and multiple regression analysis to predict DO concentration in water gave s...
Slovak Journal of Civil Engineering, 2016
This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographi... more This study utilized Spatial Information Technology (SIT) such as Remote Sensing (RS), a Geographical Information System (GIS), the Global Positioning System (GPS) and a high-resolution Digital Elevation Model (DEM) for a morphometrical analysis of five sub-basins within the Lower Niger River Basin, Nigeria. Morpho-metrical parameters, such as the total relief, relative relief, relief ratio, ruggedness number, texture ratio, elongation ratio, circularity ratio, form factor ratio, drainage density, stream frequency, sinuosity factor and bifurcation ratio, have been computed and analyzed. The study revealed that the contribution of the morphometric parameters to flooding suggest catchment No. 1 has the least concentration time and the highest runoff depth. Catchment No. 4 has the highest circularity ratio (0.35) as the most hazardous site where floods could reach a great volume over a small area.