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High-resolution maps of solar collector performance using a climatological solar radiation model

机译:使用气候太阳辐射模型的太阳能收集器性能的高分辨率地图

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This paper will present a new methodology for producing estimates of the monthly and annual average performance of different types of flat-plate and concentrating solar collectors. The estimates are made on a uniform spatial grid with 40 km resolution. These estimates should be highly useful both to create maps to facilitate visualization of the solar resource, and as the basic data behind analytical studies of solar resources, deployment scenarios, CO{sub}2 mitigation strategies, and economic assessments. Our initial use of this methodology will be in the continental United States, where supporting data is available to evaluate the model outputs. In future years we hope to utilize this technique world-wide, especially in areas where the surface data are lacking. The National Renewable Energy Laboratory (NREL, Golden, CO) has developed the Climatological Solar Radiation (CSR) model to estimate climatological averages of daily-total solar radiation at a 40 km spatial resolution (1). The CSR model is operational and has been usefully applied to the United States as well as several international areas. The model uses, as input, monthly climatological mean values of cloud cover, precipitable water vapor, aerosol optical depth, surface albedo, and total column ozone. These input parameters are available from various sources such as NASA and NCDC (National Climatic Data Center). The outputs from the original version of CSR are monthly mean daily total values of Global Horizontal, Direct Normal, and Diffuse radiation. Our latest revision to the model allows us to calculate the monthly mean output for the various collector types such as tilted flat-plate surfaces, one- and two- axis flat-plate collectors, and concentrating collectors. Summarized hourly data for these orientations are available in the "Solar Radiation Data Manual for Flat-plate and Concentrating Collectors". These were produced for the 239 individual sites in the United States National Solar Radiation Data Base (NSRDB). Maps of the output from the various collectors are available on the NREL Renewable Resource Data Center web site (rredc.nrel.gov). Our new CSR model output maps will look similar to these, but with 40 km resolution, using over 10, 000 grid points for the USA alone. At this writing, we have modeled and made evaluations of two types of solar collectors, a flat-plate (PV) system facing south with tilt--latitude, and a one-axis tracking concentrator (solar thermal parabolic trough) oriented in a North-South direction. We present here an evaluation of these two types of collectors, as well as for Global Horizontal (PV system with tilt = 0 degrees) and Direct Normal (2-axis tracking concentrator). We also present preliminary sample maps of the United States for these collector types.
机译:本文将介绍一种新的方法用于生产不同类型的平板中的每月和每年的平均性能的估计和聚光太阳能收集器。估计是在40公里分辨率的统一的空间网格制成。这些估计数字既要创建映射,以促进太阳能资源的可视化非常有用,并作为太阳能资源,部署场景的分析研究背后的基本数据,CO {}分2个减灾战略和经济评估。我们最初使用这种方法将是在美国大陆,其中支持数据可用来评估模型输出。在未来几年,我们希望利用这一技术在全世界,特别是在区域表面数据匮乏的地方。国家可再生能源实验室(NREL,金,CO)已经开发出了气候太阳辐射(CSR)模型在40公里空间分辨率(1)来估计每日-太阳辐射总量的气候平均值。 CSR公司的模式是运营,并已有效地应用于美国以及一些国际领域。该模型使用,作为输入,云层的每月气候平均值,水汽,气溶胶光学厚度,表面反射率和总列臭氧。这些输入参数可以从各种来源,如NASA和NCDC(国家气候数据中心)。从CSR的原始版本的输出是全球水平,直接正常和散射辐射的月平均每天的总价值。我们的最新版本的模型使我们能够计算用于各个集电极类型,诸如倾斜的平板表面上的月平均输出,一维和两轮轴平板集热器,和聚光收集器。这些方向总结每小时的数据是“太阳辐射的数据手册,平板式和聚光集热器”中找到。这些被生产为美国全国太阳年辐射资料库(NSRDB)在239个个人网站。从各个收藏家输出的地图都可以在NREL再生资源数据中心网站(rredc.nrel.gov)。我们新的企业社会责任模式输出映射将类似于这些,但40公里分辨率的,用超过10,000格点仅在美国。在撰写本文时,我们已建模和由两种类型的太阳能收集器的评价,平板(PV)与倾斜朝南系统 - 纬度在北定向,和一轴跟踪聚光器(太阳能热抛物面槽式) -South方向。我们在这里提出这两种类型的收集器的评价,以及用于全球水平(与倾斜= 0度PV系统)和直接正常(2轴跟踪集中器)。我们目前的初步样品美国的地图,这些收集器类型。

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