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    • 1. 发明授权
    • Weather and satellite model for estimating solar irradiance
    • 天气和卫星模型估算太阳辐照度
    • US09322951B2
    • 2016-04-26
    • US13623240
    • 2012-09-20
    • Michael HerzigMatthew WilliamsShawn Kerrigan
    • Michael HerzigMatthew WilliamsShawn Kerrigan
    • G06F17/10G01W1/10G01W1/12H02J3/38H02J13/00H02J3/00
    • G01W1/10G01W1/12G06F17/5009H02J3/383H02J13/0062H02J2003/003Y02E10/563Y02E60/7838Y04S10/54Y04S40/124
    • Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.
    • 太阳辐射是太阳能电磁辐射的能源,从气象到农学到太阳能发电都有广泛的应用。 太阳辐照度主要取决于与太阳的位置空间关系以及影响辐射传播的大气条件。 太阳与地球之间的空间关系由建立的天文公式决定。 大气条件的影响可以通过代理使用来自卫星图像的像素来估计。 虽然基于卫星的辐照度估计已经被证明是有效的,但可以限制输入数据的可用性,并且分辨率通常不能捕获局部天气现象。 一般大气条件的简要定性描述可从互联网天气服务以比卫星图像更高的粒度广泛获得。 该方法提供了定量天气观测对太阳辐射的影响的逻辑,并将该方法与太阳辐射估计模型相结合。
    • 3. 发明申请
    • WEATHER AND SATELLITE MODEL FOR ESTIMATING SOLAR IRRADIANCE
    • 天气和卫星模型估计太阳辐射
    • US20130166266A1
    • 2013-06-27
    • US13623240
    • 2012-09-20
    • Michael HerzigMatthew WilliamsShawn Kerrigan
    • Michael HerzigMatthew WilliamsShawn Kerrigan
    • G06G7/48
    • G01W1/10G01W1/12G06F17/5009H02J3/383H02J13/0062H02J2003/003Y02E10/563Y02E60/7838Y04S10/54Y04S40/124
    • Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.
    • 太阳辐射是太阳能电磁辐射的能源,从气象到农学到太阳能发电都有广泛的应用。 太阳辐照度主要取决于与太阳的位置空间关系以及影响辐射传播的大气条件。 太阳与地球之间的空间关系由建立的天文公式决定。 大气条件的影响可以通过代理使用来自卫星图像的像素来估计。 虽然基于卫星的辐照度估计已经被证明是有效的,但可以限制输入数据的可用性,并且分辨率通常不能捕获局部天气现象。 一般大气条件的简要定性描述可从互联网天气服务以比卫星图像更高的粒度广泛获得。 该方法提供了定量天气观测对太阳辐射的影响的逻辑,并将该方法与太阳辐射估计模型相结合。
    • 4. 发明申请
    • METHODS FOR LOCATION IDENTIFICATION OF RENEWABLE ENERGY SYSTEMS
    • 可再生能源系统的位置识别方法
    • US20130166211A1
    • 2013-06-27
    • US13623232
    • 2012-09-20
    • Shawn KerriganMichael HerzigMatthew Williams
    • Shawn KerriganMichael HerzigMatthew Williams
    • G01V99/00
    • A computer processor implemented method of identifying the location of a renewable energy system; providing a set of renewable energy systems having at least two location-known renewable energy systems each having a longitude and latitude pair and production data; providing at least one location-unknown renewable energy system in a computer processor; correlating by a computer processor each location-unknown renewable energy system to at least one location-known renewable energy system according to location-known renewable energy systems longitude and latitude pair and production data; providing a best-fit location for each location-unknown renewable energy system by triangulating the location-unknown renewable energy system to provide a triangulated latitude and longitude; setting the triangulated latitude and longitude for the location-unknown renewable energy system to become a location-known renewable energy system that is part of the set of renewable energy systems.
    • 一种计算机处理器实现的方法,用于识别可再生能源系统的位置; 提供一组可再生能源系统,其至少具有两个位置已知的可再生能源系统,每个可再生能源系统具有经度和纬度对以及生产数据; 在计算机处理器中提供至少一个位置未知的可再生能源系统; 根据位置已知的可再生能源系统经度和纬度对以及生产数据,计算机处理器将每个位置 - 未知可再生能源系统与至少一个位置已知的可再生能源系统相关联; 通过将位置未知的可再生能源系统进行三角测量以提供三角测量的纬度和经度,为每个位置 - 未知的可再生能源系统提供最适合的位置 - 将位置未知可再生能源系统的三角测量纬度和经度设置为可再生能源系统的一部分,作为位置知名的可再生能源系统。