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The relationship among CO2 emission, Economic Growth and Energy Consumption were examine in this study. This study specifically examines the combine impact CO2 emission, and Economic Growth on Energy Consumption. The study uses a dynamic panel data of esteem the time series analysis on 1980. Our result shows that Economic Growth is positively related to Energy Consumption. But when CO2 emission is interacted with Economic Growth the combine impact is increasing in energy consumption. The study therefore recommend that appropriate policy should formulated by the government to drive up energy consumption.
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Simulation of Solar Photovoltaic, Biomass Gas Turbine and District Heating Hybrid System
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This paper presents a simulation model for Biomass-Photovoltaic Hybrid system. The energy conversion equations describing the total power generated by system have been presented. A numerical model based upon the aforementioned conservation equations was developed, coded and results were presented and analyzed. The model is intended to be used as an optimization, design and analysis tool for typical gas turbine Biomass-CHP hybrid systems. The results predicted by the proposed model compared fairly with data under various biomass loading conditions.
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Optimal Sizing of Hybrid Systems and Economical Comparison
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Aim of study finding the best configuration among a set of system components. Power fluctuations and load disturbances in hybrid systems cause power inequality and system stability problems. Using hybrid energy storage systems is an effective solution in order to overcome unbalancing between power generating and load demands. In this paper, a methodology to perform the optimal sizing for Distributed Energy Resources (DERs) in three hybrid systems is developed, and reliability index is considered as a constraint. The optimum system configuration can meet the customer’s required Equivalent Loss Factor (ELF=0) with the minimum cost, and comparison cost between them. In these configurations, power generators are photovoltaic (PV)/wind turbine and three combination of battery bank and hydrogen tank is used as an energy storage system. Particle Swarm Optimization (PSO) algorithm has been used to optimize the cost function, and has been simulated in MATLAB for justification purpose.