scholarly journals Feasibility Analysis and Simulation of Integrated Renewable Energy System for Power Generation: A Hypothetical Study of Rural Health Clinic

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Vincent Anayochukwu Ani ◽  
Bahijjahtu Abubakar
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Rural Health ◽  
Clean Energy ◽  
Energy System ◽  
Feasibility Analysis ◽  
Health Clinic ◽  
Simulation And Optimization ◽  
Renewable Energy System ◽  
Electrical Generation

This paper presents the feasibility analysis and study of integrated renewable energy (IRE) using solar photovoltaic (PV) and wind turbine (WT) system in a hypothetical study of rural health clinic in Borno State, Nigeria. Electrical power consumption and metrology data (such as solar radiation and wind speed) were used for designing and analyzing the integrated renewable energy system. The health clinic facility energy consumption is 19 kWh/day with a 3.4 kW peak demand load. The metrological data was collected from National Aeronautics and Space Administration (NASA) website and used to analyze the performance of electrical generation system using HOMER program. The simulation and optimization results show that the optimal integrated renewable energy system configuration consists of 5 kW PV array, BWC Excel-R 7.5 kW DC wind turbine, 24 unit Surrette 6CS25P battery cycle charging, and a 19 kW AC/DC converter and that the PV power can generate electricity at 9,138 kWh/year while the wind turbine system can generate electricity at 7,490 kWh/year, giving the total electrical generation of the system as 16,628 kWh/year. This would be suitable for deployment of 100% clean energy for uninterruptable power performance in the health clinic. The economics analysis result found that the integrated renewable system has total NPC of 137,139 US Dollar. The results of this research show that, with a low energy health facility, it is possible to meet the entire annual energy demand of a health clinic solely through a stand-alone integrated renewable PV/wind energy supply.

scholarly journals Dynamic Analysis of Electrical Power Grid Delivery: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

2011 ◽  
Author(s):  
Diana K. Grauer ◽  
Michael E. Reed
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Research Team ◽  
Combustion Engine ◽  
National Laboratory ◽  
Electrical Power ◽  
Energy System ◽  
Electrical Transmission ◽  
Reciprocating Engine ◽  
Electrical Generation

This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

Modeling of a Hybrid Renewable Energy System “HyRES”

Volume 4 ◽  
2004 ◽  
Author(s):  
K. Altaii ◽  
A. Bradway ◽  
A. M. Al-Jumaily
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Energy System ◽  
Renewable Energies ◽  
Total Power ◽  
Solar Photovoltaic ◽  
Photovoltaic Panel ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

This paper presents the modeling and simulation of a hybrid renewable-energy system. The sizing, availability, and contribution of solar photovoltaic, wind energy and hydro energy can be simulated to determine the viability, stability, and cost effectiveness of such systems. The model allows the user to enter site specific data (hourly, daily, monthly, and annually) such as solar radiation, wind speed and precipitation. Users can select the type and size of wind turbine, hydroelectric turbine, photovoltaic panel and the electrical load placed on the hybrid renewable system. The simulation will determine the total power that can be produced on an hourly, daily, monthly and annual basis, the optimum combination of renewable energies, and usage/storage of each type of renewable energies, given the specified system and the collected data. With the help of HyRES, the model, one can determine which hybrid renewable energy system would best suit a specific site, and also help to determine which type of wind turbine, hydroelectric turbine, or photovoltaic panels would best complement each other for that site.

scholarly journals Electrical Power Grid Delivery Dynamic Analysis: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

2011 ◽  
Author(s):  
Diana K. Grauer ◽  
Michael E. Reed
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Research Team ◽  
Combustion Engine ◽  
National Laboratory ◽  
Electrical Power ◽  
Energy System ◽  
Electrical Transmission ◽  
Reciprocating Engine ◽  
Electrical Generation

This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

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