Monitoring of soiling with the AVUS instrument – Technical and economic assessment

A. Heimsath, T. Schmidt, S. Rohani, Lukas Haack, R. Meyer, Jan Steinmetz, P. Nitz
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引用次数: 4

Abstract

Soiling impacts energy harvesting of CSP Plants as well as operation and maintenance cost. The identification of the proneness of a potential solar site to soiling would reduce risk and improve the performance and cost prediction. To allow for medium and long term monitoring of soiling rates, precise, replicable and fully automated measuring methods are needed, similar to today’s solar resource assessment. Furthermore, the analysis of dust and its adhesion to solar reflectors are of interest. Tackling both requests, we developed a new instrument for automated online monitoring of soiling. The AVUS measurement set-up directly measures reflectance. Furthermore, the soiled samples are available for retrospective assessment of dust and its adhesion to solar reflectors. We present measurement results from a one-year monitoring campaign at a solar thermal power plant located in the south of Spain. Additionally we show a comparison of the AVUS sensor results and results from PV reference cells. We assess the advantage of soiling monitoring for financial risk reduction and for performance prediction. Detailed cost and performance models are applied to a case study of a parabolic trough plant.
用AVUS仪器监测污染。技术和经济评价
污染影响光热电站的能量收集以及运行和维护成本。确定潜在太阳能场地的污染倾向将降低风险,提高性能和成本预测。为了允许中长期监测污染率,需要精确、可复制和全自动的测量方法,类似于今天的太阳能资源评估。此外,对尘埃及其附着在太阳反射器上的分析也很有意义。为了满足这两个要求,我们开发了一种用于自动在线监测污染的新仪器。AVUS测量装置直接测量反射率。此外,污染的样品可用于回顾性评估灰尘及其对太阳反射器的粘附性。我们介绍了在西班牙南部的一家太阳能热电厂进行的为期一年的监测活动的测量结果。此外,我们还展示了AVUS传感器结果和PV参考电池结果的比较。我们评估了污染监测在金融风险降低和绩效预测方面的优势。详细的成本和性能模型应用于抛物线槽电厂的实例研究。
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