产品
menu item
Prospect
光伏站点太阳能潜力快速评估
menu item
Evaluate
时间序列与TMY数据用于能源建模
menu item
Monitor
实时光伏输出评估
menu item
Forecast
长达14天的太阳能输出预测
menu item
Analyst
简化统一的太阳能数据管理
menu item
集成
自动交付Solargis数据
使用案例
menu item
选址
寻找合适的太阳能项目位置
menu item
能量产出模拟
分析潜在的收益和风险
menu item
优化电厂设计
寻找最佳电厂设计
menu item
实际电厂性能
探索真实产出
menu item
电力输出预测
预测太阳能项目能量产出
menu item
地面数据验证
验证太阳能与气象测量数据质量
太阳能资源与气象评估
详细的太阳能资源验证与评估
Solargis模型应用于场地适应性调整
结合卫星数据与现场测量数据
太阳能与气象测量质量控制
修正地面测量数据中的错误
定制GIS数据服务
用定制的Solargis GIS数据
光伏能量产出评估
能量估算的不确定性和相关数据输入
光伏性能评估
再融资或资产收购的能量估算
光伏变动性与储能优化研究
理解广泛地理区域内的产出变化
区域太阳能潜力研究
太阳能电厂场地识别
我们的专业领域
我们技术的运作方式
研究方法
我们如何将科学转化为技术
API与系统集成
如何通过API集成Solargis数据
产品指南与文档
发布通知
成功案例
博客
电子书
网络研讨会
出版物
活动
免费地图与GIS数据
太阳能性能地图
关于Solargis
合作伙伴
ISO证书
人才招聘

本页未翻译。您正在浏览的是英文版本。

precipitable water scheme1

Precipitable water or ‘PWAT’ in short, is the depth of water in a column of the atmosphere if all the water in that column were precipitated as rain. PWAT, expressed in mm or kg/m2, should not be confused with precipitation. Whilst PWAT represents how much precipitation would occur in a column of air (all the way up from ground level) if it were completely squeezed out, precipitation refers to the actual water content that falls on the Earth’s surface. Values of precipitable water are generally high near the Equator.

The role of precipitable water in PV energy modeling

The weather parameters that have the greatest influence on the performance of a PV system are irradiation and temperature. All widely-used PV simulation software make use of mathematical models that account for the impact on the performance of modules when irradiation and temperature vary from STC conditions (1000 W/m2 and 25°C). Less known is the fact that PV module performance also depends on spectral irradiation distribution.

Pyranometer measurements and solar radiation databases such as Solargis provide broadband radiation. However, the data do not specify the spectral distribution. Because of the high cost of spectroradiometers, data on spectral distribution is not easily available. In the absence of measured spectral distribution data, models have been proposed to characterize spectral shift based on available atmospheric data. Models that consider precipitable water have shown relatively good performance. Such models are being increasingly incorporated into PV energy modeling software available on the market.

PWAT data in Solargis

In response to a growing number of request for PWAT data from our customer base, we have now included precipitable water as a default data parameter in our data product ‘Time Series – extended’. PWAT data is also included in the TMY files generated from ‘Time Series – extended’.

The source of the data is the NOAA NCEP Climate Forecast System: CFSR (past to 2010) and CFSv2 (2011 to present). The CFS model incorporates observations from satellites fitted with microwave sensors, that can detect precipitable water. PWAT data are available in hourly time step from Solargis.

Solargis pwat tmy

We hope that the inclusion of precipitable water to Solargis datasets will help the solar industry improve the accuracy of PV energy predictions.

 

 

Keep reading

Training in Beijing: sharing our knowledge with chinese professionals and the public
Solargis news

Training in Beijing: sharing our knowledge with chinese professionals and the public

We shared our knowledge with professionals in the solar energy industry in China during Assessment of solar resource measurement technology exchange event.

Annual average values of solar resource and temperature are now available for free via iMaps
Solargis news

Annual average values of solar resource and temperature are now available for free via iMaps

From today onwards, we are also opening access to long-term annual averages of key solar parameters GHI, DIF, and DNI via Solargis iMaps prospecting tool.

Solargis presents new climData reports
Solargis news

Solargis presents new climData reports

We have developed new functionalities of reports that are available now through our climData.