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储能系统技术 储能系统 工商业光伏 调峰调频 ★ 5.0

探究模拟真实条件下单用途与多用途储能系统的盈利能力

Exploring the profitability of single and multi-use energy storage systems mirroring real-world conditions

作者 Tobias Rohre · Nils Reiner · Ricarda Hogl
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 383 卷
技术分类 储能系统技术
技术标签 储能系统 工商业光伏 调峰调频
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Including realistic forecasting models negatively impacts multi-use profitability.
语言:

中文摘要

摘要 能源储能系统的经济可行性对于推动其在商业和工业领域的应用至关重要。本文通过综合仿真,结合来自德国50家中小企业的实际负荷数据,分别并联合考察了削峰填谷和自用优化两种策略的经济盈利能力。本研究的一项核心创新在于将一个真实的预测模型与一个详细的经济模型相结合,从而提升了研究结果在现实场景中的适用性。我们对削峰填谷和自用优化作为独立策略的分析表明,在所分析的所有企业中,自用优化均无法实现盈利;而削峰填谷若处于基于年使用小时数的合适电价结构下,则具有可观的盈利潜力。与相关研究一致,研究结果表明多用途运行可提高盈利能力。然而,采用理想预测与真实预测之间的盈利性差异显著:相较于单用途运行,在完美预测条件下,多用途运行使中位净现值提高了27.59%,而在采用真实预测条件下,仅实现了4.96%的轻微提升。

English Abstract

Abstract The economic viability of energy storage systems is crucial for encouraging their adoption within the commercial and industrial sectors. This paper examines the economic profitability of peak shaving and self-consumption optimisation, both individually and in combination through comprehensive simulations that include real load data from 50 small- and medium-sized companies in Germany. A central innovation of this research is the integration of a realistic forecasting model alongside a detailed economic model, improving the real-world applicability of the results. Our analysis of peak-shaving and self-consumption optimisation as standalone strategies indicate that while self-consumption optimisation could not be considered profitable for any of the companies analysed, peak shaving proved lucrative if the load falls into the right tariff structure based on the annual usage hours. Consistent with related research, the findings reveal that multi-use operation can increase profitability. However, the discrepancy between the profitability using ideal versus realistic forecasts is considerable. Multi-Use with perfect forecasts enhanced the median net present value by 27.59% compared to single usage, whereas using realistic forecasts resulted in a modest 4.96% increase.
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SunView 深度解读

该研究揭示工商业储能多场景应用的盈利挑战,对阳光电源ST系列PCS及PowerTitan解决方案具有重要启示。研究表明单一削峰或自发自用策略盈利性有限,但多场景协同可提升27.59%净现值,这验证了我司iSolarCloud平台集成精准预测算法的必要性。建议强化ST系列的多用途协调控制策略,结合GFM/VSG技术提升电网友好性,并通过AI预测模型优化削峰与自消纳的实时切换逻辑,针对不同电价结构的工商业客户提供差异化储能配置方案,以实际预测精度而非理想条件评估项目经济性,提升市场竞争力。