Joiner Kevin L, Tukeman Gabriel L, Obraztsova Anna Y, Arias-Thode Yolanda Meriah
Naval Information Warfare Center San Diego USA
Baylor College of Medicine Houston Texas USA.
RSC Adv. 2020 Jul 10;10(44):26220-26228. doi: 10.1039/d0ra03459b. eCollection 2020 Jul 9.
The benthic microbial fuel cell (BMFC) is a promising technology for harvesting renewable energy from marine littoral environments. The scientific community has researched BMFC technology for well over a decade, but the performance remains challenging. To address this challenge, BMFC power experiments were performed on sediment collected from San Diego Bay (CA, USA), La Spezia (Italy) and Honolulu (HI, USA) in the ever-changing littoral environment. Analysis of BMFC laboratory data found the power density varied substantially across 11 sites in San Diego Bay. In addition, data from experiments repeated at four locations in San Diego Bay showed significant differences between experiments performed in 2014, 2016 and 2019. Multivariable linear analysis showed BMFC 90 day cumulative power density was positively correlated with the total organic carbon ( < 0.05) and negatively correlated with the black carbon in the sediment ( < 0.05). Regression coefficients trained on the San Diego Bay data from 2014 facilitated accurate predictions of BMFC performance in 2016 and 2019. The modeling paradigm accurately explained variations in BMFC power performance in La Spezia and showed sediment parameters can impact BMFC performance differently across geographic regions. The results demonstrate a great potential to use sediment parameters and statistical modeling to predict BMFC power performance prior to deployment in oceanographic environments, thereby reducing cost, work force and resources.
底栖微生物燃料电池(BMFC)是一种从海洋沿岸环境中获取可再生能源的很有前景的技术。科学界对BMFC技术的研究已经超过十年,但性能仍具有挑战性。为应对这一挑战,在不断变化的沿岸环境中,对从美国加利福尼亚州圣地亚哥湾、意大利拉斯佩齐亚和美国夏威夷州檀香山采集的沉积物进行了BMFC功率实验。对BMFC实验室数据的分析发现,圣地亚哥湾11个地点的功率密度差异很大。此外,在圣地亚哥湾四个地点重复进行的实验数据显示,2014年、2016年和2019年进行的实验之间存在显著差异。多变量线性分析表明,BMFC 90天累积功率密度与总有机碳呈正相关(<0.05),与沉积物中的黑碳呈负相关(<0.05)。基于2014年圣地亚哥湾数据训练的回归系数有助于准确预测2016年和2019年BMFC的性能。该建模范式准确解释了拉斯佩齐亚BMFC功率性能的变化,并表明沉积物参数在不同地理区域对BMFC性能的影响可能不同。结果表明,在海洋环境中部署之前,利用沉积物参数和统计建模预测BMFC功率性能具有巨大潜力,从而降低成本、劳动力和资源。