首页> 外文会议>ASME international mechanical engineering congress and exposition >OPTIMAL SIZING OF HYBRID RENEWABLE ENERGY SYTEMS USING A HYDROGEN STORAGE SYSTEM FOR VARIOUS POWER DEMAND APPLICATIONS
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OPTIMAL SIZING OF HYBRID RENEWABLE ENERGY SYTEMS USING A HYDROGEN STORAGE SYSTEM FOR VARIOUS POWER DEMAND APPLICATIONS

机译:使用氢气存储系统优化混合可再生能源系统的各种功率需求

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Hybrid systems consisting of a single or multiple renewable energy generators coupled with an environmentally-friendly storage system are used in renewable power production due to wide disparity between the intermittent power generated and the power demand. These systems also have the potential to provide 24/7 power without leaving a carbon footprint in operation. Finding the optimal size of a Hybrid Renewable Energy System (HRES) with no Loss of Power Supply (LPS) is of utmost concern when considering the Levelized Cost of Energy (LCE) of the system over its lifecycle. In this study, an optimization routine employing a search algorithm is developed to find the system configuration with a minimized LCE that meets also meets zero LPS. To this end, a system model is developed by integrating basic models of the subsystems. The system model is then used to investigate two different loading cases, 1) where the demand cannot be controlled as in the case of the power demand of a residential network, and 2) where the demand can be controlled up to certain limits, as in the case of the power demand of a data center or a data center network. Various types of controllable power demands (CoD) are studied. When compared to the power demand of a residential network, results demonstrate a significant reduction in the life cycle costs for CoD conditions.
机译:由于产生的间歇性电力和电力需求之间的巨大差异,由单个或多个可再生能源发电器与环保存储系统组成的混合系统用于可再生能源生产。这些系统还具有提供24/7功率而不会在运行中留下碳足迹的潜力。在考虑系统生命周期中的平均能源成本(LCE)时,最需要关注的问题是找到没有电源中断(LPS)的混合可再生能源系统(HRES)的最佳尺寸。在这项研究中,开发了使用搜索算法的优化例程,以找到具有最小LCE且也满足零LPS的系统配置。为此,通过集成子系统的基本模型来开发系统模型。然后,使用系统模型研究两种不同的负载情况:1)不能像住宅网络的电力需求那样控制需求,以及2)可以将需求控制到一定的限制,例如数据中心或数据中心网络的电力需求情况。研究了各种类型的可控功率需求(CoD)。与住宅网络的功率需求相比,结果表明,在CoD条件下,生命周期成本显着降低。

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