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Techno-economic comparison of the levelised cost of electricity generation from solar PV and battery storage with solar PV and combustion of bio-crude using fast pyrolysis of biomass

机译:太阳能光伏和电池储能与太阳能光伏的平准化发电成本以及利用生物质快速热解燃烧生物原油的技术经济比较

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摘要

The strong growth of intermittent electricity generation from solar PV and wind is leading to a greater need for energy storage at grid scale. In this work a techno-economic model has been constructed to calculate the levelised cost of electricity for two systems that can meet an arbitrary energy demand curve: (1) solar PV and battery storage and (2) solar PV with combustion of bio-crude and bio-gas from biomass. The analysis is performed for conditions prevalent in Queensland, Australia where over a gigawatt of new solar PV capacity is being constructed in 2018. The battery storage assumes lithium-ion batteries and costs derived from the recently constructed Homsdale Power Reserve in South Australia. A variable energy demand curve is assumed in the work. The model shows that the parameters with the most impact on the LCOE for the solar PV and battery system are the solar yield, and total installed costs of the battery and solar PV unit. Assuming, battery costs of 750 AUD/kM/b., solar PV costs of 1.6 AUD/W and a project capacity of 240 MWh/d, the LCOE of the solar PV and battery system was calculated to be 170 AUD/MWh. Using total installed costs forecast for the near future, the LCOE is expected to be in the range 150-185 AUD/W for the variable energy demand curve, and over 200 AUD/MWh if a constant supply of power is required. The parameters with the most impact on the LCOE for the solar PV and bio-crude system are the solar yield and total installed cost of the biomass pyrolysis and bio-crude combustion unit. For a 240 MWh/d project scale with variable energy demand, the LCOE for the solar PV and bio-crude system is estimated to be 116 AUD/MWh. Variations in feedstock cost and project scale showed that the LCOE is in the range of 104-125 AUD/MWh. The main conclusion from this work, is that integration of solar PV and the production and combustion of bio-crude and bio-gas using fast pyrolysis of biomass, leads to competitively priced dispatchable renewable energy that is forecast to be cheaper than using solar PV and batteries for the foreseeable future. It has also been found that the combination of solar PV and bio-crude combustion leads to lower LCOEs than using bioenergy alone, due to the rapidly decreasing costs of large scale solar PV. While the solar PV and bio-crude system analysed in this work will likely be a niche solution, in areas with substantial biomass resources, it offers a credible starting point for the development of larger scale bioenergy value chains, with the longer term goal of converting lignocellulosic biomass materials into renewable transportation fuels and chemicals.
机译:太阳能光伏发电和风能间歇性发电的强劲增长,导致对电网规模储能的更大需求。在这项工作中,已经建立了一种技术经济模型来计算可满足任意能量需求曲线的两个系统的平均电力成本:(1)太阳能光伏和电池存储,以及(2)带有生物原油燃烧的太阳能光伏以及来自生物质的沼气。该分析针对的是澳大利亚昆士兰州普遍存在的条件,该国将于2018年建造超过1吉瓦的新太阳能光伏发电容量。电池存储假设锂离子电池,其成本来自南澳大利亚州最近建造的霍姆斯代尔电力储备。假设工作中有可变的能源需求曲线。该模型表明,对太阳能光伏和电池系统的LCOE影响最大的参数是太阳能发电量以及电池和太阳能PV装置的总安装成本。假设电池成本为750 AUD / kM / b,太阳能光伏成本为1.6 AUD / W,项目容量为240 MWh / d,则太阳能光伏和电池系统的LCOE计算为170 AUD / MWh。使用近期的总安装成本预测,对于可变的能源需求曲线,LCOE预计将在150-185 AUD / W的范围内,如果需要恒定的电力供应,则将超过200 AUD / MWh。对太阳能光伏和生物原油系统的LCOE影响最大的参数是生物质热解和生物原油燃烧装置的太阳能产量和总安装成本。对于具有可变能源需求的240 MWh / d项目规模,太阳能光伏和生物原油系统的LCOE估计为116 AUD / MWh。原料成本和项目规模的变化表明,LCOE在104-125澳元/兆瓦时的范围内。这项工作的主要结论是,将太阳能光伏发电与利用生物质的快速热解法生产和燃烧生物原油和沼气进行整合,可以产生具有价格竞争力的可调度可再生能源,预计该价格将比使用太阳能光伏发电和太阳能发电便宜。可以预见的未来电池。还已经发现,由于大规模太阳能PV的成本迅速下降,太阳能PV和生物原油燃烧的组合导致的LCOE比单独使用生物能源更低。尽管这项工作中分析的太阳能光伏和生物原油系统可能是一个利基解决方案,但在具有大量生物质资源的地区,它为大规模生物能源价值链的发展提供了可靠的起点,其长期目标是转化木质纤维素生物质原料转化为可再生运输燃料和化学品。

著录项

  • 来源
    《Energy Conversion & Management》 |2018年第186期|1573-1588|共16页
  • 作者

    Perkins Greg;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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