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An analytical optimization of thermal energy storage for electricity cost reduction in solar thermal electric plants

机译:为减少太阳能热电厂的电力成本而进行的储热分析优化

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Solar Thermal Electric (STE) plants can integrate Thermal Energy Storage (TES) in order to generate electricity when the energy source (Sun radiation) has vanished. TES technology has become a very important asset for this type of renewable energy source, but it has induced a rise in electricity cost in many cases. One of the reasons is the need of larger solar fields as the TES capacity increases because the solar field has to provide thermal power both to generate electricity and to charge the storage. The economic effects of improving the plant performance seem to have some internal complexities that must be investigated covering the internal relations among the main parts of a STE plant: the solar field, the power block and the energy storage. This paper presents an analytical study of these relations aimed at deriving a better understanding of the cost/performance behavior of STE plants. As the power block is a mature and commercial technology with well-established efficiencies and specific costs (in $/W, for instance), it has been taken as the reference element in modelling the plant. The other parts of the plant, i.e., the solar field and the energy storage, have been characterized in cost and energy management by a set of high-level parameters. Of course, a coarse definition cannot give very accurate results for a specific design, but it can be the guideline for the selection and sizing of a plant. It is worth noting that each type of solar thermal power plant has a different parametric scenario, corresponding to its essential design window. In this paper, comparisons among plants with different parametric scenarios are restricted to one-axis concentration solar fields, where the coarse model is easily characterized. The results show that the optimum plant configuration, in terms of TES capacity and solar field size, depends on the solar field and TES costs relative to power block cost. Moreover, it is shown that some parametric scenarios always lead to an increase in the cost of electricity when the energy storage capacity is enlarged. On the contrary, parametric scenarios associated to cheaper solar fields yield a much better economic result when TES is embodied in the plant. Additionally, TES efficiency is also identified as a parameter with high impact in the performance of the whole system. This result seems obvious, but the model gives numerical values that can help to optimize the selection process in a project. For instance, it is assessed that the lower the TES efficiency, the greater the relevance of reducing solar field costs is in order to obtain low electricity generation costs. As a general conclusion, the model points out that Fresnel-type solar fields are much better suited than parabolic trough collectors for integrating thermal energy storage. This implies that Fresnel plants present a higher potential to cover the peaks of electricity demand, which results into bigger profits. (C) 2016 Elsevier Ltd. All rights reserved.
机译:太阳能热电厂(STE)可以集成热能存储(TES),以便在能源(太阳辐射)消失后发电。 TES技术已成为此类可再生能源的一项非常重要的资产,但在许多情况下,它已导致电费上涨。原因之一是随着TES容量的增加,需要更大的太阳能场,因为太阳能场必须提供热能来发电和给存储充电。改善电厂性能的经济效应似乎具有一些内部复杂性,必须对其进行研究,以涵盖STE电厂主要部分之间的内部关系:太阳能场,动力块和储能。本文对这些关系进行了分析研究,旨在更好地了解STE工厂的成本/性能行为。由于功率模块是一种成熟的商业技术,具有公认的效率和特定成本(例如,以美元/瓦为单位),因此已将其用作工厂建模的参考元素。工厂的其他部分,即太阳能场和能量存储,已通过一组高级参数进行了成本和能量管理。当然,粗略的定义不能为特定的设计提供非常准确的结果,但是它可以作为选择和确定工厂大小的准则。值得注意的是,每种类型的太阳能热电厂都具有与其基本设计窗口相对应的不同参数方案。在本文中,具有不同参数方案的工厂之间的比较仅限于单轴集中太阳场,在该场中可以轻松地描述粗糙模型。结果表明,就TES容量和太阳能场规模而言,最佳的工厂配置取决于太阳能场和TES成本相对于动力块成本。此外,已经表明,当扩大储能容量时,某些参数化方案总是导致电费的增加。相反,当在工厂中使用TES时,与廉价太阳能场相关的参数化方案将产生更好的经济结果。此外,TES效率也被认为是对整个系统性能有很大影响的参数。这个结果似乎很明显,但是模型提供的数值可以帮助优化项目中的选择过程。例如,据评估,为了获得较低的发电成本,TES效率越低,降低太阳能场成本的相关性就越大。总的来说,该模型指出菲涅耳型太阳场比抛物槽型集热器更适合集成热能存储。这意味着菲涅耳电厂具有更高的潜力来满足用电高峰,从而带来更大的利润。 (C)2016 Elsevier Ltd.保留所有权利。

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