利用气象和卫星图像资料确定尼日利亚东北部各州全球太阳辐射的优化模式

M. K. Salihu
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引用次数: 0

摘要

本研究提出了一个利用气象数据和卫星图像相结合确定尼日利亚东北部地区全球太阳辐射的优化模型。从文献综述中选取10个最新的模型,并进行优化,选出最适合研究区域的模型。开发了两个模型来提供准确的太阳辐射预测,可用于改进该地区太阳能项目的规划和实施。该模式将Angstrom-Prescott模式与温度(∆T)、相对湿度(RH)、位置纬度(Φ)、太阳赤纬角(δ)、一年的日数(n)等各种气候参数与卫星图像数据相结合,确定全球太阳辐射。优化模型的结果表明,模型10具有最小的误差,平均基误差(0.028),平均百分比误差(-0.001),均方根误差(0.098),决定系数R2(0.994),可以作为确定尼日利亚东北部全球太阳辐射的优化模型。开发了两个模型,即建议的模型1和建议的模型2。模型1对全球太阳辐射有轻微高估,平均基数误差(-0.863)、平均百分比误差(-0.039)、均方根误差(2.990)、决定系数R2(0.745);模型2对全球太阳辐射有较好的估计,平均基数误差(-0.005)、平均百分比误差(0.0003)、均方根误差(0.02),决定系数R2(0.985)。利用优化模型10和卫星数据模型对模型进行了验证,结果表明,该模型能够准确地确定尼日利亚东北部地区的全球太阳辐射。这项研究的发现将使该地区的太阳能项目开发商、研究人员和政策制定者受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization Model for Determining Global Solar Radiation in the Northeastern States of Nigeria Using Both Meteorological and Satellite Imagery Data
This study presents an optimization model for determining global solar radiation in the northeastern region of Nigeria using a combination of meteorological data and satellite imagery. Ten recent models were chosen from the literature review and optimized to select the one that best fits the study region. Two models were developed to provide accurate solar radiation predictions, which can be used to improve the planning and implementation of a solar energy project in the region. The model integrates the Angstrom-Prescott model with various climate parameters such as Temperature (∆T), relative humidity (RH), location latitude (Φ), solar declination angle (δ), and the number of days in a year (n) with satellite image data to determine the global solar radiation. The finding of optimization models shows that the model10 performed very well with minimum error as Mean Base Error (0.028), Mean Percentage Error (-0.001), Root Mean Square Error (0.098), and coefficient of determination R2 (0.994), which suggested as the optimized model for determining of global solar radiation in northeastern Nigeria. The two models were developed, that is, proposed Model1 and proposed Model2. Proposed Model1 slightly overestimated the global solar radiation with Mean Base Error (-0.863), Mean Percentage Error (-0.039), Root Mean Square Error (2.990), and coefficient of determination R2 (0.745), while proposed Model2 performed better with Mean Base Error (-0.005), Mean Percentage Error (0.0003), Root Mean Square Error (0.02) with the coefficient of determination R2 (0.985). The proposed models were validated using the suggested optimized model10 and satellite data model, which show that the proposed model can accurately determine global solar radiation in the northeastern region of Nigeria. This study's findings will benefit the region's solar energy project developers, researchers, and policymakers.
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