加拿大偏远地区风-柴油混合动力系统优化研究

Y. Saad, C. Nohra, R. Younes, S. Abboudi, A. Ilinca, H. Ibrahim, Z. Feger
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引用次数: 3

摘要

柴油发电机是世界上大多数偏远地区的主要电力来源。不幸的是,这些电机仍然面临着巨大的技术、财务和环境挑战。因此,将这些发电机与风能等可再生能源结合在一起,形成一个风能-柴油混合动力系统(WDS),可以通过减少化石燃料的消耗和柴油发动机的运行时间,降低运行成本和对环境的危害来减少这些赤字。此外,由于风能的间歇性及其在有风期的耗散需要一个储能系统,WDS与压缩空气储能(CAES)相结合似乎是解决这一问题的一个很好的方法。最近的许多研究表明,对储存的空气储备的最佳管理将是用压缩空气对现有的柴油发动机进行过度充电。基于这一概念,提出了一种新型的恒压绝热空气压缩和储存的风-柴油混合动力系统(ACP-WDCAS)。这一概念将CAES和油气储能技术与风能-柴油系统相结合。在本文中,我们将介绍该系统的工作原理,并提出其每个组成部分的数值模型。此外,我们还研究了进气压力和温度对柴油机热力学循环的影响,以确定优化油耗的参数的最优值。最后,我们将该系统与现有技术进行比较,以证明其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of an optimized wind-diesel hybrid system for canadian remote sites
Diesel generators are the main source of electrical energy that supply most of the remote isolated areas in the world. Unfortunately, these motors still pose enormous technical, financial, and environmental challenges. Therefore, the combination of these generators with renewable sources like wind energy in a wind-diesel hybrid system (WDS) could reduce these deficits by reducing the fossil fuel consumption and the operating time of diesel engines, and by reducing the operation costs and environmental harm. In addition, because the intermittency of wind energy and its dissipation during windy periods require an energy storage system, the WDS combined with compressed air energy storage (CAES) seems to be a good solution for this problem. Many recent studies have shown that the optimal management of the stored air reserve would be to overcharge an existing diesel engine with compressed air. Based on this concept, a new wind-diesel hybrid system with adiabatic air compression and storage at constant pressure has been proposed (ACP-WDCAS). This concept combines CAES and hydro-pneumatic energy storage technologies with a wind-diesel system. In this paper, we will present the operative principle of this system and propose a numerical model of each of its components. Moreover, we studied the effect of the pressure intake and temperature on the thermodynamic cycle of the diesel engine to determine the optimal values of the parameters that will optimize fuel consumption. Finally we will compare this system with available technologies in order to demonstrate its performance.
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