家庭光伏安装的最大投资回报率
Maximum Return on Investment for a Domestic Photovoltaic Installation
AI总结：
本研究针对家庭光伏系统，提出增量负荷拟合方法及基于当前与预测光伏生产的开关管理策略，实现超17%成本节省，强调负荷控制对最大化投资回报率的关键作用。
摘要：
欧洲能源价格不断上涨以及应对全球变暖的迫切需求，推动了家庭光伏系统安装量的显著增加，以利用太阳能。然而，由于太阳能仅在白天可用且其可用性每日变化，有效转移能源使用变得至关重要。虽然电池可以帮助储存多余的能量，但其高昂的价格阻碍了其广泛采用。在本研究中，我们探讨了负荷对最大化投资回报率的重要性。我们提出了一种将负荷曲线拟合到生产包络内的增量方法，从而便于实际实施。我们比较了不同的电表分辨率：1秒、5分钟、15分钟和1小时。我们的分析表明，做出实时决策（每秒）相比每小时决策可节省16%的显著能源。此外，我们探讨了三种设备管理策略：独立于光伏生产的开关管理、基于当前光伏生产的开关管理、基于当前和预测光伏生产的开关管理，并采用最优拟合算法。通过我们的研究，我们证明第三种方法的实施优于标准管理方法，节省了超过17%的成本。本研究为家庭光伏安装中负荷转移策略的优化提供了见解，强调了负荷控制的重要性以及在最大化太阳能利用的同时最小化能源成本和环境影响的潜在益处。
英文摘要：
The rising energy prices in Europe and the urgent need to address global warming have sparked a significant increase in the installation of domestic photovoltaic systems to harness solar energy. However, since solar energy is available only during daytime hours and its availability varies daily, effectively shifting energy use becomes crucial. Whilst batteries can assist in storing excess energy, their high prices hinder their widespread adoption. In this study, we explore the importance of load to maximise return on investment. We propose an incremental approach to fitting load profiles into the production envelope, allowing for practical implementation. We compare different meter resolutions: 1 second, 5 minutes, 15 minutes, and 1 hour. Our analysis reveals that making real-time decisions (per second) leads to significant energy savings of 16\% compared to hourly decisions. Furthermore, we explore three types of device management strategies: ON/OFF management independent of PV production, ON/OFF management based on the current PV production, ON/OFF management based on both current and forecasted PV production, utilising an optimal fit algorithm. Through our study, we demonstrate that our implementation of the third approach outperforms a standard management approach, resulting in more than 17% cost savings. This study provides insights into the optimisation of load-shifting strategies in domestic photovoltaic installations, highlighting the importance of load control and the potential benefits in maximising the utilisation of solar energy while minimising energy costs and environmental impact.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
