← 返回
提高光伏效率:光伏系统积尘监测、缓解与清洁技术的深入系统性综述与批判性分析
Enhancing photovoltaic efficiency: An in-depth systematic review and critical analysis of dust monitoring, mitigation, and cleaning techniques
| 作者 | Alireza Parsay · Mahdi Gandomzadeh · Ali Akbar Yaghoubi · Arman Hoorsun · Aslan Gholami · Majid Zandi · Roghayeh Gavagsaz Ghoachani · Hussein A. Kazem |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 388 卷 |
| 技术分类 | 光伏发电技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | Provide full bibliometric analysis of dust mitigation and monitoring research and trends. |
语言:
中文摘要
摘要 在污染与光伏系统领域的大多数综述研究主要集中在粉尘缓解方法及其分析上。然而,对该领域研究趋势进行长期综合性文献计量分析仍然十分必要。本研究聚焦于对光伏系统污染缓解现有文献的系统性与文献计量学分析。本文首先讨论了该领域文献的一般发展趋势,随后将缓解策略归纳为四大主要类别。所综述的文献被划分为预防性措施、粉尘监测系统、主动清洁方法以及用于清洁调度的多准则决策策略。预防性措施主要关注增强粉尘去除的被动技术,例如自清洁涂层。然而,这些策略在很大程度上依赖于风力、降雨强度和湿度等环境因素,有时可能导致水泥化或粉尘积累加剧等问题。在对过去四十年间多种主动清洁方法的研究中,这些方法被分为四类:人工清洁、机械清洁、机电清洁和静电清洁方法。将这些方法与监测系统及动态决策模型相结合,对于实现经济可行的污染缓解至关重要。本文还讨论了多项关于污染监测系统及制定清洁间隔决策的研究。这一全面综述为未来在预防性清洁、光伏系统监测、主动清洁方法以及决策策略方面的研究提供了重要参考。解决所识别出的挑战将有助于提升光伏系统的部署规模与运行效率,从而推动更加可持续的能源解决方案的发展。
English Abstract
Abstract Most review studies in the field of soiling and tablephotovoltaic systems primarily focus on potential methods for dust mitigation and analysis. However, a comprehensive long-term bibliometric analysis of research trends in this field remains necessary. This study focuses on a systematic and bibliometric analysis of existing literature on soiling mitigation in photovoltaic systems . The general trends in the literature are discussed, followed by four main categories of mitigation strategies . The reviewed literature is categorized into preventive measures, dust monitoring systems , active cleaning methods, and multi-criteria decision-making strategies for cleaning schedules. Preventive measures primarily focus on passive techniques for enhancing dust removal, such as self-cleaning coating. However, these strategies significantly depend on environmental factors like wind, rain intensity, and humidity, which can sometimes lead to issues like cementation or increased dust accumulation. In exploring various active cleaning methods over the past four decades, these methods are classified into four types: manual, mechanical, electromechanical, and electrostatic approaches. Integrating these methods with monitoring systems and dynamic decision-making models is crucial for economically feasible soiling mitigation. Several studies on soiling monitoring systems and decision-making for planning cleaning intervals are also discussed. This comprehensive review serves as a reference for future research on preventive cleaning, PV system monitoring , active cleaning methods, and decision-making strategies. Addressing the identified challenges will enhance the deployment and efficiency of PV systems, contributing to more sustainable energy solutions.
S
SunView 深度解读
该综述系统分析光伏组件积灰监测、清洁技术对阳光电源SG系列逆变器及iSolarCloud平台具有重要价值。研究涵盖的被动防尘涂层、主动清洁方法与智能决策模型,可与公司MPPT优化技术协同,通过iSolarCloud集成积灰监测算法,实现清洁周期动态优化,降低发电损失。特别是电机械清洁与决策系统的结合,为1500V大型光伏电站智能运维提供技术参考,可提升系统全生命周期发电效率3-8%,强化预测性维护能力。