{"title":"Steady-state computational analysis of a partially shaded photovoltaic system","authors":"K. Nisha, R. Beniwal","doi":"10.1007/s10825-023-02122-9","DOIUrl":null,"url":null,"abstract":"<div><p>We present the steady-state computational analysis for predicting the log-duration availability of partially shaded photovoltaic (PV) systems with DC–DC converters. Shaded PV systems receive less than optimal sunlight due to obstructions such as trees or buildings. While shading can reduce the amount of energy produced by the solar panel, there are still some benefits to using shaded solar panels. Shading due to buildings, clouds, and other means affects PV system performance in terms of output power, fill factor, and efficiency. In this work, a Markov model with variable degradation rates and shading factors was employed for similar components in a fixed PV system configuration. We analyze the output power of the PV system computationally with constant transition and absorption duration over 20 years. The repair rate and transient transition rate are considered constant for the same state at the time for average output power estimation. The method includes all the possibilities for failure and shading associated with the successful functioning of the PV system for computational analysis. The average output power is presented for a 40% shading factor. One module transition and absorption time in the PV system with a 40% shading factor for a 20-year lifetime was found to be 3,36,369.43 W·h. The useful life ensured by one component in the PV system was found to be 7.9 years with constant shading and degradation factor.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"23 1","pages":"73 - 81"},"PeriodicalIF":2.5000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-023-02122-9","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
We present the steady-state computational analysis for predicting the log-duration availability of partially shaded photovoltaic (PV) systems with DC–DC converters. Shaded PV systems receive less than optimal sunlight due to obstructions such as trees or buildings. While shading can reduce the amount of energy produced by the solar panel, there are still some benefits to using shaded solar panels. Shading due to buildings, clouds, and other means affects PV system performance in terms of output power, fill factor, and efficiency. In this work, a Markov model with variable degradation rates and shading factors was employed for similar components in a fixed PV system configuration. We analyze the output power of the PV system computationally with constant transition and absorption duration over 20 years. The repair rate and transient transition rate are considered constant for the same state at the time for average output power estimation. The method includes all the possibilities for failure and shading associated with the successful functioning of the PV system for computational analysis. The average output power is presented for a 40% shading factor. One module transition and absorption time in the PV system with a 40% shading factor for a 20-year lifetime was found to be 3,36,369.43 W·h. The useful life ensured by one component in the PV system was found to be 7.9 years with constant shading and degradation factor.
期刊介绍:
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.