Optimal Energy System for Single Household in Nigeria

2013 ◽  
Vol 2 (3) ◽  
pp. 16-41 ◽  
Author(s):  
Vincent Anayochukwu Ani
Keyword(s):  
Power System ◽  
Wind Power ◽  
Energy System ◽  
Annual Average ◽  
Average Wind Speed ◽  
Simulation And Optimization ◽  
Wind Power System ◽  
Hybrid Optimization Model ◽  
And Performance ◽  
Conventional Solution

Hybrid PV/Wind power system can be used to generate electricity consumed in household. This paper presents the design of a stand-alone Hybrid PV/Wind energy system for a household in University of Nigeria, Nsukka (UNN) in Eastern Nigeria with a daily load of 5.2kwh/d. Solar and wind resources for the design of the system were obtained from the NASA Surface Meteorology and solar energy website at a location of 6° 51' N latitude and 7° 24' E longitude, with annual average solar radiation of 4.92kWh/m2/d and annual average wind speed of 2.1m/s. The study is based on modeling, simulation and optimization of energy system in UNN. The model was designed to provide an optimal system configuration based on hour-by-hour data for energy availability and demands. Energy source, energy storage and their applicability in terms of cost and performance are discussed. The Hybrid Optimization Model for Electric Renewables (HOMER) software is used to study and design the proposed stand-alone Hybrid PV/Wind power system model. The designed Hybrid PV/Wind was compared to gasoline generator in order to choose the best energy system for the household. Total Net Present Cost (NPC) and impact on the environment are used as indices for measuring the optimization level of each energy solution. Simulation results show the Hybrid PV/Wind option ($317,907; 0 tonnes of CO2) to be superior to conventional solution ($374,237; 2.049 tonnes of CO2) whereby gasoline generators are currently used to power household around Nigeria.

scholarly journals An Experimental Investigation of FNN Model for Wind Speed Forecasting Using EEMD and CS

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Jianzhou Wang ◽  
Haiyan Jiang ◽  
Bohui Han ◽  
Qingping Zhou
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
Wind Farm ◽  
Frequency Noise ◽  
Wind Speed Forecasting ◽  
System A ◽  
Wind Power System ◽  
And Performance ◽  
Using Data

With depletion of traditional energy and increasing environmental problems, wind energy, as an alternative renewable energy, has drawn more and more attention internationally. Meanwhile, wind is plentiful, clean, and environmentally friendly; moreover, its speed is a very important piece of information needed in the operations and planning of the wind power system. Therefore, choosing an effective forecasting model with good performance plays a quite significant role in wind power system. A hybrid CS-EEMD-FNN model is firstly proposed in this paper for multistep ahead prediction of wind speed, in which EEMD is employed as a data-cleaning method that aims to remove the high frequency noise embedded in the wind speed series. CS optimization algorithm is used to select the best parameters in the FNN model. In order to evaluate the effectiveness and performance of the proposed hybrid model, three other short-term wind speed forecasting models, namely, FNN model, EEMD-FNN model, and CS-FNN model, are carried out to forecast wind speed using data measured at a typical site in Shandong wind farm, China, over three seasons in 2011. Experimental results demonstrate that the developed hybrid CS-EEMD-FNN model outperforms other models with more accuracy, which is suitable to wind speed forecasting in this area.

scholarly journals Feasibility and Optimal Design of a Stand-Alone Photovoltaic Energy System for the Orphanage

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Vincent Anayochukwu Ani
Keyword(s):  
Power System ◽  
Psychological Impact ◽  
Energy System ◽  
Simulation And Optimization ◽  
Modeling Simulation ◽  
Photovoltaic Power ◽  
Optimization Study ◽  
Expected Performance ◽  
Hybrid Optimization Model ◽  
Power Needs

Access to electricity can have a positive psychological impact through a lessening of the sense of exclusion, and vulnerability often felt by the orphanages. This paper presented the simulation and optimization study of a stand-alone photovoltaic power system that produced the desired power needs of an orphanage. Solar resources for the design of the system were obtained from the National Aeronautics and Space Administration (NASA) Surface Meteorology and Solar Energy website at a location of 6°51′N latitude and 7°35′E longitude, with annual average solar radiation of 4.92 kWh/m2/d. This study is based on modeling, simulation, and optimization of energy system in the orphanage. The patterns of load consumption within the orphanage were studied and suitably modeled for optimization. Hybrid Optimization Model for Electric Renewables (HOMER) software was used to analyze and design the proposed stand-alone photovoltaic power system model. The model was designed to provide an optimal system configuration based on an hour-by-hour data for energy availability and demands. A detailed design, description, and expected performance of the system were presented in this paper.

Magnesium Hydride Slurry — A Better Answer to Hydrogen Storage

2014 ◽  
Author(s):  
Andrew W. McClaine ◽  
Kenneth Brown ◽  
David D. G. Bowen
Keyword(s):  
Power System ◽  
Hydrogen Storage ◽  
Wind Power ◽  
Magnesium Hydride ◽  
Rate Of Return ◽  
Internal Rate Of Return ◽  
Storage Medium ◽  
Wind Power System ◽  
And Performance ◽  
The Cost

Hydrogen has many properties that make it an attractive energy storage medium for a sustainable future. But hydrogen is also difficult to store safely and cheaply. By storing hydrogen in an oil-based slurry with powdered magnesium hydride, cheap and safe hydrogen storage can be realized. This paper describes the characteristics and benefits of cycling hydrogen in and out of magnesium hydride slurry. Based on our experience with magnesium hydride slurry, we have performed a study to evaluate the cost effectiveness of applying bulk hydrogen storage, using magnesium hydride slurry, in a baseload wind power system that we will also discuss. This study concludes that a 150 MW baseload wind power system would produce an Internal Rate of Return (IRR) of 10% with an electric price of $0.088/kWh. The costs and performance characteristics of this power plant are described.

Simulation and Optimization of Photovoltaic/Diesel Hybrid System for Off-Grid Banking Industry

2014 ◽  
Vol 3 (2) ◽  
pp. 17-37
Author(s):  
Vincent Anayochukwu Ani
Keyword(s):  
Power System ◽  
Hybrid System ◽  
Power Supply ◽  
Banking Industry ◽  
Energy System ◽  
Pollutant Emission ◽  
Diesel Generator ◽  
Simulation And Optimization ◽  
System A ◽  
Hybrid Optimization Model

Power supply is one of the major problems of the banking industry of many emerging economies, such as Nigeria, particularly as the banks strive to modernize and offer quality services, such as electronic banking. This paper proposed a PV/Diesel hybrid power generation system suitable for banking. The study is based on simulation and optimization of hybrid system of a bank located in two different locations [Nsukka (Enugu State – which covers the southern part of the nation) and Kaura (Kaduna State – covering the northern part of the nation)]. The Hybrid Optimization Model for Electric Renewables (HOMER) software was used for the design of the proposed stand-alone PV/Diesel power system. A control system for the Hybrid PV-Diesel Energy System with Battery Storage was developed to coordinate when power should be generated by PV panels and when it should be generated by diesel generator. From the simulation results, 46% decrease in each pollutant is noticed in Nsukka for a 46% renewable penetration into the existing diesel only power system; while in Kaura, 55% decrease in each pollutant is noticed for a 55% renewable penetration into the existing diesel only power system. This shows that the more % of renewable penetration into the diesel only system, the more decrease in pollutant emission. The results also show that the two locations (Nsukka and Kaura) have the same excess electricity of 45kWh/yr showing that the system is optimally sized. This excess electricity of power supply is guaranteed in the location simulated in order to give room for future Bank expansion. This may also be applied to other regions of the country.

Sign in / Sign up

Export Citation Format

Share Document