New paper on techno-economic comparison between flywheel energy storage and conventional batteries published

June 7, 2022
In this recently published article in the Journal of Energy Storage, a probabilistic techno-economic comparison was done between long-duration flywheel energy storage (LD FES) and other more conventional batteries used in microgrids. Energy storage technologies provide a range of benefits in supporting intermittent renewable energy generation, particularly in microgrids located in remote or isolated areas. LD FES is a new player on the energy storage scene that is now contending with other technologies available on the market.

In this paper, 𝗺𝗶𝗰𝗿𝗼𝗴𝗿𝗶𝗱 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴 was used to compare LD FES with lithium-ion batteries (LIBs) and lead-acid batteries (LABs) for isolated microgrid and industrial facilities while 𝗮𝗰𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝘂𝗻𝗰𝗲𝗿𝘁𝗮𝗶𝗻𝘁𝗶𝗲𝘀 𝗶𝗻 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝘃𝗮𝗿𝗶𝗮𝗯𝗹𝗲𝘀. The Monte-carlo method was used to simulate and compare the various sets of system parameters. Then, the Island Systems LCOEmin Algorithm (ISLA) was utilized to optimize the isolated microgrids.
In summary, the study determined which technology has the 𝗯𝗲𝘀𝘁 𝗽𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝗹𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝗹𝗲𝘃𝗲𝗹𝗶𝘇𝗲𝗱 𝗰𝗼𝘀𝘁 𝗼𝗳 𝘀𝘁𝗼𝗿𝗮𝗴𝗲 (𝗟𝗖𝗢𝗦) 𝗮𝗻𝗱 𝗹𝗲𝘃𝗲𝗹𝗶𝘇𝗲𝗱 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗲𝗻𝗲𝗿𝗴𝘆 (𝗟𝗖𝗢𝗘). These two costs are important as they both account for capital and operating expenses of LD FES when coupled with renewable energy. Interestingly, results showed that LD FES generated a lower LCOS in 2020, which was competitive with LIBs. However, LIBs end up dominating over time because of the rapid LIB price decline due to current market conditions. This shows that although LD FES may have the advantage now, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲 𝗺𝘂𝘀𝘁 𝗯𝗲 𝘀𝗰𝗮𝗹𝗲𝗱 𝘂𝗽 𝘁𝗼 𝗮𝗹𝘀𝗼 𝗹𝗼𝘄𝗲𝗿 𝗰𝗼𝘀𝘁𝘀 𝗮𝗻𝗱 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻 𝘁𝗵𝗶𝘀 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲.

You may access and read the full paper here: https://doi.org/10.1016/j.est.2022.104681

𝘛𝘩𝘪𝘴 𝘸𝘰𝘳𝘬 𝘪𝘴 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭𝘭𝘺 𝘴𝘶𝘱𝘱𝘰𝘳𝘵𝘦𝘥 𝘣𝘺 𝘵𝘩𝘦 𝘗𝘪𝘭𝘰𝘵 𝘚𝘵𝘶𝘥𝘺 𝘧𝘰𝘳 𝘐𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘯𝘨 𝘔𝘪𝘤𝘳𝘰-𝘨𝘳𝘪𝘥 𝘢𝘯𝘥 𝘋𝘪𝘴𝘵𝘳𝘪𝘣𝘶𝘵𝘦𝘥 𝘙𝘦𝘯𝘦𝘸𝘢𝘣𝘭𝘦 𝘌𝘯𝘦𝘳𝘨𝘺 𝘚𝘰𝘶𝘳𝘤𝘦𝘴 𝘧𝘰𝘳 𝘢𝘯 𝘌𝘭𝘦𝘤𝘵𝘳𝘪𝘤 𝘊𝘰𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘗𝘳𝘰𝘫𝘦𝘤𝘵 𝘧𝘶𝘯𝘥𝘦𝘥 𝘣𝘺 𝘵𝘩𝘦 𝘋𝘦𝘱𝘢𝘳𝘵𝘮𝘦𝘯𝘵 𝘰𝘧 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 (DOST Philippines) 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘵𝘩𝘦 𝘊𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘷𝘦 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘯𝘥 𝘋𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘵𝘰 𝘓𝘦𝘷𝘦𝘳𝘢𝘨𝘦 𝘵𝘩𝘦 𝘗𝘩𝘪𝘭𝘪𝘱𝘱𝘪𝘯𝘦 𝘌𝘤𝘰𝘯𝘰𝘮𝘺 (𝘊𝘙𝘈𝘋𝘓𝘌) 𝘱𝘳𝘰𝘨𝘳𝘢𝘮 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘊𝘐𝘗𝘏𝘌𝘙 𝘗𝘳𝘰𝘫𝘦𝘤𝘵 (𝘐𝘐𝘐𝘋 2018-008) 𝘧𝘶𝘯𝘥𝘦𝘥 𝘣𝘺 𝘵𝘩𝘦 𝘊𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘰𝘯 𝘏𝘪𝘨𝘩𝘦𝘳 𝘌𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯 – PCARI - Philippine California Advanced Research Institutes.
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