A strategic review: the role of commercially available tools for planning, modelling, optimization, and performance measurement of photovoltaic systems

Q2 Engineering
A. A. Khan, A. Minai
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引用次数: 0

Abstract

Abstract Solar power and photovoltaic (PV) systems have become crucial components of the world’s energy portfolio. The PV systems may be engineered in a number of ways, including off-grid, on-grid, and tracking. Incorporating PV systems with traditional sources of power like diesel generators (DGs) or other renewable sources, like windmills, is possible. In this situation, developers, investigators, and experts are striving to create the best design that accommodates the load demand in regards to technological, financial, ecological, and social aspects. To assist in figuring out the best PV size and design, numerous tools, models, and heuristics were created and rolled out. The majority of the tools, models, and techniques used to build PV systems over the past 70 years were described, assessed, and evaluated in this article. It was observed that methods for optimising PV system designs evolved with time and demand. Tool design is often divided into segments such as artificial and classical, solo and hybrid approaches, and others. Hybrid approaches, nevertheless, gained prominence to become the most popular approach because of its adaptability and capacity for handling challenging issues. This paper’s evaluation also helps the readers choose a PV system design tool (approximately 46) that is suited for their needs.
战略回顾:商业上可用的光伏系统规划、建模、优化和性能测量工具的作用
太阳能和光伏(PV)系统已成为世界能源组合的重要组成部分。光伏系统可以采用多种设计方式,包括离网、入网和跟踪。将光伏系统与柴油发电机(dg)等传统能源或其他可再生能源(如风车)结合起来是可能的。在这种情况下,开发人员、研究人员和专家都在努力创造最好的设计,以适应技术、经济、生态和社会方面的负荷需求。为了帮助确定最佳PV尺寸和设计,创建并推出了许多工具、模型和启发式方法。本文描述、评估和评价了过去70年来用于构建PV系统的大多数工具、模型和技术。我们观察到,优化光伏系统设计的方法随着时间和需求而发展。工具设计通常分为人工方法和经典方法、单独方法和混合方法等部分。然而,混合方法因其适应性和处理挑战性问题的能力而成为最受欢迎的方法。本文的评估还可以帮助读者选择适合他们需求的光伏系统设计工具(大约46)。
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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来源期刊
Energy Harvesting and Systems
Energy Harvesting and Systems Energy-Energy Engineering and Power Technology
CiteScore
2.00
自引率
0.00%
发文量
31
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