This system is an off-grid that deals with the combination of PV, hydro, diesel generator, converter, batteries, fuel cell, electrolyser and hydrogen tank that are modeled in HOMER software. The configuration of the hybrid system is shown in Figure 1. The key input for measuring the Levelized Cost of Energy (LCOE) includes capital cost, fuel cost, operation and maintenance cost (O & M) as well as financing cost.
It is represented in cost per kilowatt-hour of an operating system over its life time cost. Measuring the economic cost of electricity helps to discover the overall competiveness of different source of energies. The economic feasibility of an energy generation can be evaluated using various methods but one of it is the measure of using Levelized Cost of Energy that is often used when comparing electricity generation technologies. This paper focus on simulation of a stand-alone modeled in HOMER to achieve cost optimization of hybrid solar, micro-hydro and hydrogen fuel cell system.
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Whereas, the economic analysis is done using HOMER software (Hybrid Optimization Model for Electric Renewable). Technical analysis involved the study of location’s metrology and load characteristics based on design. Both technical and economic analyses are involved in this paper. The cost is not dependent on the system sizing such as the initial cost but also towards the control strategy. The result is an economic optimization which includes capital cost expenditure, maintenance cost and replacement of components. Therefore, optimal configuration of hybrid renewable energy system is useful to ensure enough power is generated to meet the demand in parallel with reliable and cost effective reason. There are many factors that contribute to a poor distribution of electricity such as terrains, isolation of an area but the most ultimate reason is the economic investment scheme that is high in cost of installment over a long distance of grid.
Therefore, the main purpose of this paper is to perform evaluations to obtain the most optimized cost with given configuration. However, feed in tariff and capital cost for hybrid energy system is high and unrealistic. With that, stand-alone renewable energy system is the system that is capable of supplying electricity to isolated area. As a matter of fact, Malaysia has tremendous amount of renewable sources that can be developed.
As a result, people living in rural area are force to invest on high cost of electricity generation of diesel generator.Īs a contrast to this matter, renewable energy sources that are generally abundance in availability and great technologies can provide sustainable and cost effective alternative source. With finite nature of fossil fuel resources that are depleting at an increasing rate coupled with the effects on the environment, global warming and climate change, it has started to change human’s perspective and has driven the global economies to explore for other alternative sources of technologies that are clean and non-depleted. For people living in remote areas, it is not an option to have connection support from the utility grid due to the isolated area that is not fitted with electricity distribution system. In this paper, HOMER is used to find the most cost effective configuration among set of different simulated system to achieve the objective of least possible Levelized Cost of Energy (LCOE) for a given system under a propose load of 75 kW.Įlectricity is one of the essential needs to support human lifestyle that is to provide power for home appliances. Homer software is utilized as an assessment with modeling tools that simplifies the task of evaluating designs option for both off-grid and on-grid-connected system that allows load data and parameters to be inputted. The analysis of hybrid system is modeled using HOMER software. The main purpose of this paper is to present the analysis of cost optimization of Hybrid Renewable Energy System in remote area where grid connection is impossible. Received 6 July 2015 accepted 4 August 2015 published 7 August 2015
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This work is licensed under the Creative Commons Attribution International License (CC BY). Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, MalaysiaĮmail: © 2015 by authors and Scientific Research Publishing Inc.
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