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光伏-热电混合系统的综合优化
Comprehensive optimization of photovoltaic-thermoelectric hybrid systems: Experimental analysis of cooling methods, photovoltaic strategies, and their synergistic effects
| 作者 | Chang Wanga · Guoqing Zhang · Yaohui Wanga · Lei Songa · Bo Liua |
| 期刊 | Solar Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 298 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 | The proposed PV-TEG framework integrates [PV](https://www.sciencedirect.com/topics/engineering/photovoltaics "Learn more about PV from ScienceDirect's AI-generated Topic Pages") optimization and cooling modules. |
语言:
中文摘要
摘要 目前,光伏-热电(PV-TEG)混合系统因其能够利用光伏废热提升发电效率而受到广泛关注,但其整体能量转换效率仍相对较低。现有研究多采用单一优化方法,缺乏系统性与协调性的优化策略,限制了PV-TEG系统整体效率的提升。为解决这一问题,本文提出一种新的综合优化框架,该框架包含四个模块,将系统划分为“光伏优化模块、光伏模块、热电模块和冷却模块”,通过系统性地结合光伏优化与冷却策略,构建集成优化的PV-TEG系统。首先,通过实验对比不同冷却方法,分析了这些方法对光伏模块温度、热电模块温差以及系统输出功率的影响,凸显了冷却方法在提升热电性能方面的重要作用。其次,在光伏优化策略方面,探讨了不同策略在功率增益和温度调控能力方面的表现。最后,在不同太阳辐射条件下研究了光伏优化与冷却策略之间的协同效应,并考虑了昼夜及季节性辐照波动的影响,为PV-TEG系统在实际环境中的长期性能与可靠性提供了有价值的参考。实验结果表明,该集成优化方法在不同运行条件下显著提升了PV-TEG系统的整体性能。与现有的单一优化方法相比,所提出的综合优化方法实现了更高效的能量利用,为PV-TEG系统的优化设计提供了新的思路与研究方向。
English Abstract
Abstract Currently, the photovoltaic-thermoelectric (PV-TEG) hybrid system has attracted attention due to its ability to use photovoltaic waste heat to improve power generation efficiency, but its overall energy conversion efficiency remains relatively low. Existing studies employ single optimization approaches and lack systematic, coordinated strategies, which constrain overall PV-TEG system efficiency. To address this issue, this study proposes a new integrated optimization framework comprising four modules, dividing the system into “PV optimization module, PV module, TEG module, and cooling module” to systematically combine photovoltaic optimization and cooling strategies, thereby constructing an integrated optimized PV-TEG system. First, by experimentally comparing different cooling methods, the impact of these methods on PV module temperature, TEG temperature difference, and system power output was analyzed, highlighting the important role of cooling methods in improving TEG performance. Secondly, regarding photovoltaic optimization strategies, the power gain and temperature control ability of different strategies were explored. Finally, the synergistic effect of photovoltaic optimization and cooling strategies was studied under varying solar radiation conditions, and the effects of diurnal and seasonal irradiance fluctuations were also considered, providing valuable insights into the long-term performance and reliability of PV-TEG systems in real-world environments. Experimental results demonstrate that this integrated optimization method significantly improves the overall performance of the PV-TEG system under different operating conditions. Compared to existing single optimization methods, the proposed integrated approach achieves more efficient energy utilization and offers new insights and research directions for PV-TEG system optimization design.
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SunView 深度解读
该PV-TEG混合系统综合优化研究对阳光电源SG系列光伏逆变器及智能运维具有重要价值。研究中的温度控制与功率优化策略可直接应用于我司MPPT算法改进,通过实时温度监测动态调整工作点,提升组件发电效率。四模块集成优化框架为iSolarCloud平台的预测性维护提供新思路,可结合辐照度波动数据优化系统长期性能。热电联合发电技术亦为我司储能系统散热管理及能量回收提供创新方向,特别适用于大型地面电站场景的综合能效提升。