首页> 外文期刊>Mathematics and computers in simulation >Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications
【24h】

Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications

机译:住宅光伏应用中LFP和NMC锂离子电池的优化盈利能力

获取原文
获取原文并翻译 | 示例

摘要

This paper analyses the economic profitability provided by different types of Li-ion batteries when used in residential solar applications under a Model Predictive Control that optimizes the operation of the system. The control methodology takes profit of actually commercial time-of-use rates to minimize the operation costs. Also, the analysis takes into account the progressive degradation of the batteries involved by using state-of-the-art semi-empirical ageing models. The study is performed by means of annual simulations that use actual consumption curves for three different households and real PV production batteries, with extended lifetime warranties and prices below 600 €/kWh, under optimized operation and use even when only energy arbitrage and peak shaving services are considered.
机译:本文分析了不同类型的锂离子电池提供的经济盈利能力,当在优化系统操作的模型预测控制下使用时使用类型的锂离子电池。控制方法实际利润实际使用的使用时间率,以最大限度地减少运营成本。此外,分析考虑了使用最先进的半经验老化模型所涉及的电池的逐步降解。该研究通过年度模拟进行,使用针对三家不同家庭和真正的PV生产电池的实际消费曲线进行,延长终身保修和价格低于600欧元/千瓦时,在优化的操作下,即使只有能源套利和峰值剃须服务被考虑。

著录项

  • 来源
    《Mathematics and computers in simulation》 |2021年第5期|97-115|共19页
  • 作者单位

    Dpt. Industrial Systems Engineering and Design. Universitat Jaume Ⅰ Av. Sos Baynat s/n E-12071 Castello de la Plana Spain;

    Dpt. Industrial Systems Engineering and Design. Universitat Jaume Ⅰ Av. Sos Baynat s/n E-12071 Castello de la Plana Spain;

    Dpt. Industrial Systems Engineering and Design. Universitat Jaume Ⅰ Av. Sos Baynat s/n E-12071 Castello de la Plana Spain;

    Dpt. Industrial Systems Engineering and Design. Universitat Jaume Ⅰ Av. Sos Baynat s/n E-12071 Castello de la Plana Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Residential PV systems; Li-ion batteries; Ageing;

    机译:住宅光伏系统;锂离子电池;老化;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号