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2021, NECEC
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In this paper, a hybrid power system is designed for a house in St. John's. House located in Newfoundland is designed using the Energy 3D software and the annual energy (kWh) demand for the house is determined. The hybrid power system to meet this energy demand is designed and simulated using both Homer (Hybrid Optimization of Multiple Electric Renewables) Pro software and iHOGA (improved hybrid optimization genetic algorithm) software. Analysis reveals that for Homer Pro software, 95.8% (52,566kWh/yr) of the total annual energy is produced by the wind turbine and 4.2% (2,308kWh/yr) is produced by the solar cells. For the iHOGA software, 85.7% (8,188.6kWh/yr) of the total annual energy is produced by the wind turbine and 14.3% (1,361.6kWh/yr) is produced by the solar cells. Further analysis indicates that it more economical to design the hybrid power system in iHOGA software. However, irrespective of the software used in the system design, the energy generated for the isolated system is more than the energy demand of the house thus leaving excess electricity that can be sold to the grid system.
Materials Today: Proceedings, 2020
HOMER stands for Hybrid Optimization Model for Electric Renewables. Midwest Research Institute has the copyrights of this software. It was developed by National Renewable Energy Laboratory (NREL) of United States. It is used to help the designing of various power plant configurations. It has different built in components in it such as PV panels, Wind turbines, Utility loads of various kinds, Generators, Converters and Battery Backup etc. It is used to simulate various schematics of power plants and then those schematics are simulated to find most optimized power plant configuration with respect to operating cost, net present cost (NPC), gases emission and economic comparison etc. The demand of electricity is increasing throughout the world. Needed to design some innovative new renewables energy systems which can decrease the dependence on conventional energy resources. A hybrid system is designed for the Baluchistan's Seashore in which the designing of grid deals with wind, solar installation and converters installation which decreases amount payable to grid. Analyzing different cases and according to these cases we can evaluate their power generation, pollutant gases emissions, net present cost and average electrical production cost are estimated using HOMER Pro software. There are four kinds of results provided in the optimized results. For better visualization simulation results are given in graphical and tabulated form. The results are sorted in such a way that the proposed hybrid system design is the most economical in terms of operating cost, net present cost and gases emissions.
Indonesian Journal of Electrical Engineering and Computer Science, 2022
Increasing the effects of global pollution and the availability of renewable energy sources has push many countries to use reasonable energy sources such as wind and solar energy. This paper presents a case study of evaluating a hybrid renewable energy system by using a hybrid optimization of multiple energy resources (HOMER) software program based on the entered data available from the net for the considered location. The hybrid system consisting of a wind turbine, a photovoltaic system, a battery and a diesel generator. The simulation results are presented in a graphical curves n HOMER software. The obtained results indicate that by using the HOMER simulation program, the optimal design of the hybrid electrical power system for the considered location can be achieved which can help the designer to decide the types and number of the competent required for conducting the intending hybrid electrical power system which results in optimum output power in addition to reducing the overall operating costs.
IRE Journals, 2021
The responsible way of utilizing energy sources is highly debatable these days. It is crucial to select the right source of energy with proper reasoning. A vast majority of factors ought to be taken into account such as being environmentally friendly, stable, cost effective, efficient and clean. As higher wind flow and hydro energy sources. Various methods of harnessing these renewable energy sources are already available. But the main challenge is the utilization of these resources in a sustainable and sufficient manner. Factors such as wastage of excess power wastage due to less demand is a major concern in this type of systems. Properly designing a system which can utilize this extra produced power into converting or conserving power for future use is the main concern in this design proposal. Following these reasons are why the exploration of new and effective renewable energy sources and methods of harnessing are done. To further increase efficiency and productivity, standalone hybrid renewable energy systems are designed. In this paper, the possibilities of solar and wind renewable energy systems are discussed and possible methods are presented with comprehensive supporting data and reasoning by Homer Pro software.
2014 5th International Renewable Energy Congress (IREC), 2014
On account of the broader use of Hybrid Renewable Energy systems (HRES), latest researches are interested in solving their optimization problem. These systems, despite their evident advantages, it presents also, important drawbacks as the discontinuity of the generation; that is why, their use requires a suitable sizing and a control optimization study. In this paper, an economic evaluation of the HRES for a typical home is studied. An overall energy management strategy, with the help of the genetic algorithm (GA), is designed for the proposed system; to manage the energy flow of the various renewable sources and the storage unit, and to minimize the annual cost of the system, so as to meet the load requirement in a reliable manner, while taking environmental factors into consideration.
Algerian Journal of Signals and Systems
Electrical energy is considered to be the heart of modern civilization. Traditional electricalenergy generation approaches which usually rely on oil and its derivatives, produce different kinds of pollution in addition to being expensive to implement and maintain. And most important, they are exhaustible on the long run. The sun is an unlimited source of energy for humanity around the world and a competitive energy with strong potential. The solar systems technology offers a promising method for the large scale use of solar energy in the southern zone of Algeria. The magnitude of solar radiation is the most important parameter for sizing these systems. This study presents a techno-economic feasibility evaluation for an installation of a stand-alone PV system which covers the electric demand of 20 houses in the province of Tindouf located in the South-West of Algeria. The aim is to select the appropriate components and see the results of the simulation using the hybrid simulator iHOG...
Hybrid Optimization Model for Electrical Renewable (HOMER), is a micro power optimization model, that simplifies the task of evaluating designs of both off-grid and grid-connected power systems for a variety of applications. The HOMER Hybrid Optimization Modeling Software is used for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, biomass and other inputs. This paper is divided basically into two sections. The first section investigates the energy efficiency of renewable energy system considering an isolated AC diesel generator. A model system consisting of a PV, three batteries and a converter system was considered. HOMER was able to calculate the best option that would give the best energy efficiency. In the second section, a further investigation was carried out considering two cases with two different load profiles to show that the load profiles affects the responses of the renewable energy system and the cash flow summary of some of the system equipments. In this section, a wind turbine is integrated into the PV, battery, converter and AC diesel generator system.
like HOMER and RETScreen. Actual data for Saudi sites have been used with this computer program. The data obtained have been compared with the market available software. The comparison shows the superiority of this computer program in the optimal design of the autonomous PV/wind/battery hybrid system. The proposed computer program performed the optimal design steps in very short time and with accurate results. Many valuable results can be extracted from this computer program that can help researchers and decision makers.
Optimization of renewable energy hybrid system looks into the process of selecting the best components and its sizing with appropriate operation strategy to provide cheap efficient, reliable and cost effective. The technoeconomic analysis usually looks at the cheapest cost of energy produced by of system components while neglecting the excess capacity of the combination. This paper discusses the optimization of the hybrid system in context of minimizing the excess energy and cost of energy. The hybrid of pico hydro, solar, wind and generator and battery as back-up is the basis of assessment. The system configuration of the hybrid is derived based on a theoretical domestic load at a remote location and local solar radiation, wind and water flow rate data. Three demand loads are used in the simulation using HOMER to find the optimum combination and sizing of components. Another set of demand loads is used to investigate the effect of reducing the demand load against the dominant power provider of the system. The results show that the cost of energy can be reduced to about 50% if the demand load is increased to the maximum capacity. Reducing the load to the capacity of the dominant power provider will reduce the cost of energy by 90%.
2012
ABSTRACT. Hybrid energy systems are pollution free, takes low cost and less gestation period, user and social friendly. Such systems are important sources of energy for shops, schools, and clinics in village communities especially in remote areas. Hybrid systems can provide electricity at a comparatively economic price in many remote areas. This paper presents a method to jointly determine the sizing and operation control of hybrid energy systems. The model, PV wind hydro and biomass hybrid system connects to grid. The system configuration of the hybrid is derived based on a theoretical domestic load at a typical location and local solar radiation, wind and water flow rate data and biomass availability. The hybrid energy system is proposed for 10 of teacher’s houses of Industrial Training Institute, Mersing. It is predicted 10 kW load consumption per house. The hybrid energy system consists of wind, solar, biomass, hydro, and grid power. Approximately energy consumption is 860 kWh/d...
Advances in engineering research, 2021
Solar energy is an energy source that is widely used because it is free energy, eco-friendly and very abundant, especially in tropical countries. However, the energy obtained from solar energy is inconsistent and is heavily influenced by environmental factors. Recently, many researchers have developed hybrid power plants which combine two or more different energy sources in the same system. In this research, we develop a hybrid power plant with an off-grid system (not connected to the national electricity company) that utilizes solar and wind energy. The hybrid power plant being developed is installed in Bondan hamlet, Kampung Laut District, Cilacap Regency. The installed power plant is determined for its performance by analyzing several parameters such as total energy production, net present cost (NPC) and cost of energy (COE). These parameters are analyzed using software which called hybrid optimization of multiple energy resources (HOMER). The simulation results show that the total energy generated from photovoltaics (PV) is 5.8 times higher than that of the wind turbine, with details being 10,480 kWh/year from PV and 1,805 kWh/year from the wind turbine. For the COE and NPC values are Rp. 14,266/kWh and Rp. 1,190,000,000, respectively.
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