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Development and validation of photovoltaic and wind turbine models to assess the impacts of renewable generation on dairy farm electricity consumption

机译:光伏和风力涡轮机模型的开发与验证,评估可再生于可再生于乳制品电力消费的影响

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The aim of this study was to assess the impacts of solar photovoltaics (PV) and wind power on the electricity consumption and related costs of a seasonal calving dairy farm. This work uses mathematical models to simulate the annual electricity production of a PV system and a wind turbine, as well as the electricity consumption of a dairy farm. The combined modelling platform allowed the impacts of electricity generated by the renewable systems on the overall annual electricity consumption and relatedcosts of a given farm to be quantified. Two renewable systems, three feed-in tariffs (FITS), four technology scenarios and three electricity tariffs were considered. In terms of annual electricity costs, for both PV and wind, the scenario of an Ice Bankmilk cooling system with night time electric water heating, using a Day/Night electricity tariff was found to be the optimum, under all three of the FITs investigated. The annual electricity costs for this scenario varied from ?2,359 to ?3,113 when using a PV system and from ?2,452 to ?3,191 when using a wind turbine. The analysis also revealed that, under certain conditions, the annual monetary savings achieved by a grid connected PV system were similar to those achieved using a standalone system. Furthermore, it was found that annual monetary savings associated with wind turbines were sensitive to FITs, while savings associated with PV varied in sensitivity depending on the technology scenario employed.
机译:本研究的目的是评估太阳能光伏(PV)和风力对季节性产犊奶牛场的电力消耗和相关成本的影响。这项工作采用数学模型来模拟光伏系统的年电力生产和风力涡轮机,以及奶制农场的电力消耗。组合的建模平台允许可再生系统产生的电力对给定农场的整体电力消耗和相关农场相关的影响。考虑了两个可再生系统,三个饲料关税(适合),四项技术方案和三项电关税。在每年的电力成本方面,对于PV和WIND,夜间电力供暖的冰纸币冷却系统的场景被发现是最佳的,在所有三个调查的契佩下。这种情况的年电费因使用PV系统和使用风力涡轮机时的2,452到2,452到?3,191而变化了2,359到?3,113。分析还透露,在某些条件下,网格连接光伏系统实现的年度货币节省与使用独立系统实现的人相似。此外,发现与风力涡轮机相关的年度货币节省对适合敏感,而PV与PV相关的节省取决于所采用的技术场景。

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