Irradiance Sensor(辐照度传感器)研究综述
Irradiance Sensor 辐照度传感器 - In particular, a mathematical method has allowed not to include any irradiance sensor in the setup since it has made possible to analytically calculate (and not to sense) the quantity irradiance. [1] First, because irradiance sensors are relatively expensive, an irradiance estimation method based on the grey wolf optimization (GWO) algorithm was used to replace the sensors to estimate irradiance value. [2] 3 m long chain of 48 sideward planar irradiance sensors with a vertical spacing of 0. [3] Furthermore, the computed irradiance is used to update PV array open-circuit voltage (Voc_Array), preventing temperature and irradiance sensors from being used. [4] In contrast to existing PRC methods, the proposed PRC strategy does not require an irradiance sensor or complex mathematical calculations. [5] Furthermore, the sliding mode surface is adaptively regulated only based on the locally measured frequency of the microgrid without the requirements of communication, detailed PV model, irradiance sensors as well as MPP estimators. [6] While there are several approaches, there is still no uniform guidance for what irradiance parameters to measure and for the optimal selection and placement of irradiance sensors at bifacial arrays. [7] The first part of this methodology is focused on the characterization of irradiance sensors, highlighting the dependency of its measurements on sun elevation angle. [8] The measure weather parameters include temperature and humidity using HDC1080 sensor, wind speed using an anemometer sensor, wind direction using a wind vane sensor, air pressure using BME280, rainfall using a tipping bucket sensor, and the last small solar panel for irradiance sensor. [9] However, most of UAV systems do not have such irradiance sensors. [10] The proposed control can be directly applied for the existing PV system and no additional hardware devices such as irradiance sensors are required, which is cost effective. [11] The use of irradiance sensors is generally avoided because of their cost and necessity for periodic calibration. [12] The results of laboratory testing of a MicaSense (Seattle, WA, USA) RedEdge™ 3 multispectral camera and MicaSense Downwelling Light Sensor (irradiance sensor) system using a calibrated integrating sphere were presented. [13] A variety of irradiance sensors is available in the market, however, the selection of the most suitable and adaptable one for the local conditions is a hard task. [14] We present the results of two experiments using a low-cost MCA complete with irradiance sensor (Parrot Sequoia), which set out to assess the accuracy and consistency of hemispherical-conical surface reflectance factors from MCA data. [15] In all patients, the average target radiant exposure was attained as verified by irradiance sensors in the bladder. [16] Another possibility is to directly use PV systems as irradiance sensors, since the measured PV power is a good indicator of incoming solar irradiance. [17] The selected sensors are temperature sensors, irradiance sensors, voltage sensors and current sensors. [18] Spectral measurements using TriOS-Ramses which have irradiance sensors with wavelengths between 320 nm to 950 nm and a channel range of 3,3 nm. [19] Furthermore, a methodology to estimate the irradiance from all-sky images is proposed, investigating the possibility of using an all-sky camera as an irradiance sensor. [20] The proposed method benefits from the natural oscillations occurring in the converter to obtain extreme dynamic tracking improvements while maintaining simple implementation with no need of employing temperature or irradiance sensors. [21] In the future, we could create a human interface and install a luminance sensor near the irradiance sensor. [22]特别是，数学方法允许在设置中不包括任何辐照度传感器，因为它可以分析计算（而不是感测）量辐照度。 [1] 首先，由于辐照度传感器相对昂贵，因此采用基于灰狼优化（GWO）算法的辐照度估计方法代替传感器来估计辐照度值。 [2] 3 m 长链 48 侧向平面 垂直间距为 0 的辐照度传感器。 [3] 此外，计算的辐照度用于更新光伏阵列开路电压（Voc_Array），防止使用温度和辐照度传感器。 [4] 与现有的 PRC 方法相比，所提出的 PRC 策略不需要辐照度传感器或复杂的数学计算。 [5] 此外，滑模面仅基于本地测量的微电网频率进行自适应调节，无需通信、详细的光伏模型、辐照度传感器以及 MPP 估计器。 [6] 虽然有多种方法，但对于测量哪些辐照度参数以及在双面阵列上最佳选择和放置辐照度传感器，仍然没有统一的指导。 [7] 该方法的第一部分侧重于辐照度传感器的表征，强调其测量对太阳仰角的依赖性。 [8] 测量天气参数包括使用 HDC1080 传感器的温度和湿度、使用风速计传感器的风速、使用风向标传感器的风向、使用 BME280 的气压、使用翻斗传感器的降雨量以及用于辐照度传感器的最后一个小型太阳能电池板。 [9] 然而，大多数无人机系统都没有这种辐照度传感器。 [10] 所提出的控制可以直接应用于现有的光伏系统，不需要额外的硬件设备，如辐照度传感器，具有成本效益。 [11] 通常避免使用辐照度传感器，因为它们的成本和定期校准的必要性。 [12] 介绍了使用校准积分球对 MicaSense（美国华盛顿州西雅图）RedEdge™ 3 多光谱相机和 MicaSense Downwelling Light Sensor（辐照度传感器）系统进行的实验室测试结果。 [13] 市场上有各种各样的辐照度传感器，但要选择最适合当地条件和适应性的传感器是一项艰巨的任务。 [14] 我们展示了使用配有辐照度传感器 (Parrot Sequoia) 的低成本 MCA 的两个实验的结果，该实验旨在评估 MCA 数据中半球形-圆锥表面反射系数的准确性和一致性。 [15] 在所有患者中，均达到了由膀胱中的辐照度传感器验证的平均目标辐射暴露量。 [16] 另一种可能性是直接使用光伏系统作为辐照度传感器，因为测得的光伏功率是入射太阳辐照度的良好指标。 [17] 选择的传感器是温度传感器、辐照度传感器、电压传感器和电流传感器。 [18] 使用 TriOS-Ramses 进行光谱测量，其辐照度传感器的波长在 320 nm 到 950 nm 之间，通道范围为 3.3 nm。 [19] 此外，还提出了一种从全天图像估计辐照度的方法，研究了使用全天相机作为辐照度传感器的可能性。 [20] 所提出的方法受益于转换器中发生的自然振荡，以获得极端的动态跟踪改进，同时保持简单的实现，无需使用温度或辐照度传感器。 [21] 将来，我们可以创建一个人机界面并在辐照度传感器附近安装一个亮度传感器。 [22]
Solar Irradiance Sensor 太阳辐照度传感器
The model was validated using the distributed HOPE-Melpitz measurement dataset, which consisted of 50 solar irradiance sensors at 1 s temporal resolution over a 3 × 2 km2 bounding area. [1] The end of the SORCE mission was a planned passivation of the spacecraft following a successful two-year overlap with the NASA Total and Spectral Solar Irradiance Sensor (TSIS) mission, which continues the TSI and SSI climate records. [2] The Total and Spectral Solar Irradiance Sensor‐1 (TSIS‐1) Hybrid Solar Reference Spectrum (HSRS) is developed by applying a modified spectral ratio method to normalize very high spectral resolution solar line data to the absolute irradiance scale of the TSIS‐1 Spectral Irradiance Monitor (SIM) and the CubeSat Compact SIM (CSIM). [3] The recent NASA Total and Spectral Solar Irradiance Sensor (TSIS-1) mission has provided more accurate SSI observations than before. [4] Recently, we incorporated our new understanding of the absolute scale of the solar spectrum as measured by the Spectral Irradiance Monitor (SIM) on the Total and Spectral Solar Irradiance Sensor (TSIS-1) mission and the Compact SIM (CSIM) flight demonstration into a solar irradiance reference spectrum representing solar minimum conditions between solar cycles 24 and 25. [5] The dataset is collected from solar irradiance sensor by an online monitoring station with 10 minutes data interval for 18 months. [6]该模型使用分布式 HOPE-Melpitz 测量数据集进行了验证，该数据集由 50 个太阳辐照度传感器组成，时间分辨率为 1 s，边界区域为 3×2 km2。 [1] SORCE 任务的结束是在与 NASA 总和光谱太阳辐照度传感器 (TSIS) 任务成功重叠两年后计划对航天器进行钝化，该任务延续了 TSI 和 SSI 气候记录。 [2] 总和光谱太阳辐照度传感器-1 (TSIS-1) 混合太阳参考光谱 (HSRS) 是通过应用改进的光谱比率方法将非常高光谱分辨率的太阳线数据标准化为 TSIS-1 光谱的绝对辐照度尺度而开发的辐照度监测器 (SIM) 和 CubeSat Compact SIM (CSIM)。 [3] 最近的 NASA 总和光谱太阳辐照度传感器 (TSIS-1) 任务提供了比以前更准确的 SSI 观测结果。 [4] <p>最近，我们在总和光谱太阳辐照度传感器 (TSIS-1) 任务和紧凑型 SIM (CSIM) 飞行中纳入了对太阳光谱绝对尺度的新认识，该尺度由光谱辐照度监测器 (SIM) 测量演示太阳辐照度参考光谱，代表太阳周期 24 和 25 之间的太阳最低条件。 [5] 该数据集由在线监测站从太阳辐照度传感器收集，数据间隔为 10 分钟，为期 18 个月。 [6]
Ray Irradiance Sensor
The GOES-R series of satellites includes a redesigned instrument for solar spectral irradiance: the Extreme ultraviolet and X-ray Irradiance Sensor (EXIS). [1] The GOES-R satellites include the Extreme Ultraviolet (EUV) and X-ray Irradiance Sensors (EXIS) instrument suite, which measures calibrated solar irradiance in eight lines or bands between 25 nm and 285 nm with the Extreme Ultraviolet Sensors (EUVS) instrument. [2]<p>GOES-R 系列卫星包括重新设计的太阳光谱辐照度仪器：极紫外和 X 射线辐照度传感器 (EXIS)。 [1] GOES-R 卫星包括极紫外 (EUV) 和 X 射线辐照度传感器 (EXIS) 仪器套件，该套件使用极紫外传感器 (EUVS) 仪器测量 25 nm 至 285 nm 之间 8 条线或波段的校准太阳辐照度。 [2]
Module Irradiance Sensor
Moreover, error between corrected outdoor short-circuit current (ISC) of PV module and its ISC under standard test conditions is investigated using PV module irradiance sensor (PVMS) and/or MM, where PVMS is a single-crystalline silicon PV module. [1] Outdoor performance (outdoor short-circuit current (ISC)) of test photovoltaic (PV) modules, namely (1) multi-crystalline silicon (mc-Si), (2) heterostructure-with-intrinsic-thin-layer (HIT), (3) single-crystalline silicon back-contact (BC), (4) CuInSe2, and (5) CdTe modules, was adjusted for their corrected ISC utilizing a PV module irradiance sensor (PVMS), which is a single-crystalline silicon PV module. [2]此外，使用光伏组件辐照度传感器 (PVMS) 和/或 MM 研究光伏组件的校正室外短路电流 (ISC) 与其在标准测试条件下的 ISC 之间的误差，其中 PVMS 是单晶硅光伏组件。 [1] 测试光伏（PV）组件的室外性能（室外短路电流（ISC）），即（1）多晶硅（mc-Si），（2）异质结与本征薄层（HIT）， (3) 单晶硅背接触 (BC)、(4) CuInSe2 和 (5) CdTe 模块，使用 PV 模块辐照度传感器 (PVMS) 调整其校正 ISC，这是一种单晶硅 PV模块。 [2]