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Feasibility Study of 1 MW Standalone Hybrid Energy System: For Technical Institutes

机译:1 MW独立混合能源系统的可行性研究:用于技术机构

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Hybrid energy system (HES) is a combination of different renewable resources such as wind, solar, biomass, small/micro hydro, with fossil fuel powered diesel generator to provide electric power. This paper gives the design idea of optimized Hybrid Energy System for a certain technical college over a conventional diesel generator for a particular site in eastern India (Kolkata). For this hybrid system ,the meteorological data of Solar Insolation, hourly wind speed, are taken for Kolkata-Eastern India (Longitude 88°22’and Latitude 22°34’) and the pattern of load consumption of technical college are studied and suitably modelled for optimization of the hybrid energy system using HOMER software. This paper gives the detail hypothetical study for standalone hybrid energy system for technical institute in five stages: (a) recent electric bill of the college for the year 2011. (b) Studying the load demand for every month in a year. (c) Calculating the maximum, minimum and the average load demand. (d) Introducing the solar data in HOMER software. (e) Designing the hybrid model. This system is more cost effective and environmental friendly over the conventional diesel generator. It should reduced approximate 70% - 80% fuel cost over conventional diesel generator and also reduced the emission of CO2 and other harmful gasses in environments. The action plan is formed on the basis of cost effective modelling that is minimization of energy production cost in a long run.
机译:混合能源系统(HES)是风,太阳能,生物质,小型/微型水电等不同可再生资源与化石燃料驱动的柴油发电机的组合,以提供电力。本文提供了针对某技术学院的优化混合能源系统的设计思想,该技术是针对印度东部(加尔各答)某个特定地点的常规柴油发电机的。对于此混合系统,获取了印度加尔各答(东经88°22'和北纬22°34')的日照量,小时风速的气象数据,并研究了技术学院的负荷消耗模式并进行了适当建模使用HOMER软件优化混合能源系统。本文对技术学院的独立混合能源系统分五个阶段进行了详细的假设研究:(a)该学院2011年的最新电费。(b)研究一年中每个月的负荷需求。 (c)计算最大,最小和平均负载需求。 (d)在HOMER软件中引入太阳数据。 (e)设计混合模型。与传统的柴油发电机相比,该系统具有更高的成本效益和环境友好性。与传统的柴油发电机相比,它可以减少大约70%-80%的燃料成本,还可以减少环境中的CO2和其他有害气体的排放。该行动计划是在具有成本效益的模型的基础上制定的,从长远来看,该模型可最大程度地降低能源生产成本。

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