Co2 Emissions Reduction of Photovoltaic Thermal Model Using Variable Flow Rate Values

S. Shehadeh, B. M. Alluhaidah, H. Aly, M. El-Hawary
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引用次数: 4

Abstract

In this paper, Co2 emission reduction of Photovoltaic Thermal (PVT) model using variable flow rate values has been examined and evaluated for seventy-three different Photovoltaic (PV) coverage area cases of PVT (between 20% to 80%). A data set of weather conditions of a city in Canada over one year is used for this study. Co2 emission reduction is investigated for each month for the different cases in this work. For minimizing Co2 emissions, the percentage of PV coverage area values for each month is determined. To maximize the annual Co2 emission reduction, specific PV coverage area values are carefully chosen for each month using variable flow rate. Results show that the annual Co2 emission reduction can be maximized by using adapted (dynamic) PV coverage area values compared to the conventional (static) PV coverage area values of the PVT system during a year. The fitted-curve function is obtained which evaluates the Co2 emissions reduction for each month at different PV coverage area ratio.
采用变流量值的光伏热模型的Co2减排
本文对73个不同PV (PV)覆盖面积(20% ~ 80%)的PV热(PVT)模型采用变流量值的Co2减排进行了检验和评估。本研究使用了加拿大某城市一年的天气状况数据集。在这项工作中,每个月针对不同的情况调查二氧化碳减排情况。为了最大限度地减少二氧化碳排放,确定每个月光伏覆盖面积值的百分比。为了最大限度地减少年度二氧化碳排放量,每个月使用可变流量仔细选择特定的光伏覆盖面积值。结果表明:采用自适应的(动态的)PV覆盖面积值与采用常规的(静态的)PV覆盖面积值相比,可以最大限度地减少PVT系统的年二氧化碳排放量。得到了不同光伏覆盖面积比下各月Co2减排量的拟合曲线函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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