Potential of wind turbines on the alteration of carbon dioxide concentration

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS Journal of Renewable and Sustainable Energy Pub Date : 2024-03-01 DOI:10.1063/5.0179608
V. Pulletikurthi, Clarice Nelson, Luciano Castillo
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Abstract

Anthropogenic carbondioxide (CO2) emissions are a major factor in global warming, requiring significant cuts to combat climate change. A crucial technology to reduce global CO2 concentration is direct air capture (DAC) of CO2. However, existing DAC techniques are expensive because of low CO2 concentrations, and they frequently rely on fossil fuel-based energy. In this article, we investigate how wind turbines can influence local CO2 levels and potentially collaborate with DAC and other technologies. To explore this idea, we performed large-eddy simulations using two 5 MW commercial-scale wind turbines. We incorporated realistic CO2 profiles collected from 13 different global locations across different seasons. The simulations were performed under neutral atmospheric boundary layer conditions. The results demonstrate that the wake recovery mechanism of a wind turbine promotes rapid mixing of CO2 both above and below the turbine blade tips in the wind turbine wake. In cases where the initial concentrations of CO2 were elevated above the turbine, downward entrainment of CO2 occurred. Conversely, when high concentrations of CO2 were present in the lower atmosphere, wind turbines facilitated a decrease in concentration at that layer by up to 138 kg/m within the intermediate wake (within 7 diameters) of the second turbine, T2. These discoveries inspire further investigation into the potential synergies between wind turbines and DAC devices or local CO2 pollutant diverters, depending on the prevailing CO2 profile. Consequently, this article marks the initial showcase of wind turbines' capability to influence CO2 levels by creating an entrainment and removal effect.
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风力涡轮机改变二氧化碳浓度的潜力
人为二氧化碳(CO2)排放是导致全球变暖的一个主要因素,需要大幅减少排放以应对气候变化。降低全球二氧化碳浓度的一项关键技术是二氧化碳的直接空气捕集(DAC)。然而,由于二氧化碳浓度较低,现有的 DAC 技术成本高昂,而且经常依赖化石燃料能源。在这篇文章中,我们研究了风力涡轮机如何影响当地的二氧化碳水平,并有可能与 DAC 和其他技术相结合。为了探索这一想法,我们使用两台 5 兆瓦商业规模的风力涡轮机进行了大涡流模拟。我们纳入了从全球 13 个不同地点收集到的不同季节的真实二氧化碳剖面图。模拟是在中性大气边界层条件下进行的。结果表明,风力涡轮机的尾流恢复机制促进了风力涡轮机尾流中涡轮叶尖上方和下方的二氧化碳快速混合。在涡轮机上方二氧化碳初始浓度较高的情况下,二氧化碳会向下夹带。相反,当低层大气中二氧化碳浓度较高时,在第二台涡轮机 T2 的中间尾流(7 直径范围内)中,风力涡轮机可将该层的浓度降低 138 千克/米。这些发现启发人们进一步研究风力涡轮机与 DAC 设备或本地二氧化碳污染物分流器之间的潜在协同作用,这取决于当时的二氧化碳状况。因此,这篇文章首次展示了风力涡轮机通过产生夹带和清除效应来影响二氧化碳水平的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Renewable and Sustainable Energy
Journal of Renewable and Sustainable Energy ENERGY & FUELS-ENERGY & FUELS
CiteScore
4.30
自引率
12.00%
发文量
122
审稿时长
4.2 months
期刊介绍: The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields. Topics covered include: Renewable energy economics and policy Renewable energy resource assessment Solar energy: photovoltaics, solar thermal energy, solar energy for fuels Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics Bioenergy: biofuels, biomass conversion, artificial photosynthesis Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation Power distribution & systems modeling: power electronics and controls, smart grid Energy efficient buildings: smart windows, PV, wind, power management Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies Energy storage: batteries, supercapacitors, hydrogen storage, other fuels Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other Marine and hydroelectric energy: dams, tides, waves, other Transportation: alternative vehicle technologies, plug-in technologies, other Geothermal energy
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