Solar photovoltaic optimization for commercial flat rooftops in cold regions

Hadia Awad, M. Gül, Chelsea Ritter, Preshit Verma, Yuan Chen, K. Salim, M. Al-Hussein, Haitao Yu, Kyle Kasawski
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引用次数: 10

Abstract

Solar photovoltaic systems are becoming increasingly popular as industries try to decrease their carbon footprint. This paper presents a generic optimization framework and examines a case study where a flat rooftop located in Edmonton, Alberta is investigated for the installation of a photovoltaic array. The objectives of this study are to maximize power generation while minimizing the system cost. This case study represents a proposed generic framework that fulfills this optimization problem. Solar power generation per month is forecasted using historical generation data. Panels can be installed at different tilt angles and varying inter-row spacing in order to achieve the optimal design. Designing an effective layout is important when installing solar panels, as the increased shade coverage or the wide variation from the normal angle of the sun can result in a loss of energy generation. The capital cost and payback period for the investment are also important factors when determining whether or not a photovoltaic system layout (inter-row spacing, tilt angle, etc.) is considered optimal. Analytic hierarchy process is used to weigh the decision factors and determine the optimal layout.
寒冷地区商用平屋顶的太阳能光伏优化
随着工业试图减少碳足迹,太阳能光伏系统正变得越来越受欢迎。本文提出了一个通用的优化框架,并研究了一个案例研究,该案例研究了位于艾伯塔省埃德蒙顿的一个平坦屋顶,用于安装光伏阵列。本研究的目标是使发电最大化,同时使系统成本最小化。本案例研究提出了一个解决该优化问题的通用框架。利用历史发电量数据预测每月太阳能发电量。面板可以安装在不同的倾斜角度和不同的行间距,以达到最佳设计。在安装太阳能电池板时,设计一个有效的布局是很重要的,因为增加的阴影覆盖范围或与太阳正常角度的广泛变化会导致能量产生的损失。投资的资金成本和投资回收期也是决定光伏系统布局(行间距、倾斜角度等)是否最优的重要因素。采用层次分析法对决策因素进行加权,确定最优布局。
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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