Methane emissions refer to the release of methane gas into the Earth’s atmosphere with significant impact on climate change and global warming. This can result in more extreme weather conditions, rising sea levels, and other environmental impacts. Methane is over 25 times more effective than CO2 at trapping heat in the atmosphere over a 100-year period. This makes it a particularly potent greenhouse gas, even though it’s present in the atmosphere in smaller quantities than CO2. Methane has a relatively short lifespan in the atmosphere (about 12 years) compared to CO2, which can remain in the atmosphere for centuries. However, its high global warming potential means that it has a significant impact on climate change during its atmospheric lifetime. Therefore, research efforts to reduce methane emissions is considered a key strategy in mitigating climate change. In a new study published in AIChE Journal by PhD candidate Adrian Irhamna and Professor George Bollas from the Department of Chemical and Biomolecular Engineering at University of Connecticut, the researchers explored an innovative approach to tackle this problem by converting lean methane emissions into carbon dioxide using an intensified reactor based on the chemical looping concept. Their research represents a significant step forward in the quest for effective and sustainable methane emission reduction strategies.
The authors began their study with a comprehensive sensitivity analysis, aimed at deciphering the critical factors that influence the performance of the intensified reactor. Several independent variables were scrutinized, including the Ni percentage in the oxygen carrier, reactor length, feed air temperature, air-to-flared gas ratio (AFR), and the ratio of oxidation-to-reduction step duration. The results of the analysis shed light on the intricate dynamics of the reactor and provide valuable insights for optimization. Among the variables the authors examined was the Ni percentage in the oxygen carrier and reactor length emerged as important determinants of reactor performance. These variables are intertwined, as both directly influence the amount of active oxygen carrier in the bed. As the Ni percentage increases, the oxidation reactions, which generate heat, are enhanced, leading to higher bed temperatures. This heat, in turn, promotes methane conversion. Similarly, shorter reactor lengths reduce pressure drop ratios, contributing to improved performance. These findings highlight the significance of careful consideration of Ni percentage and reactor length in the design and optimization of such reactors. The relationship between these two variables presents an interesting trade-off, demanding a delicate balance to achieve optimal performance.
The researchers highlighted as well the feed air temperature as another factor in the sensitivity analysis. This variable exerts a substantial influence on various reactor performance metrics. Higher feed air temperatures enhance most reactor performance parameters, except for oxygen carrier conversion. The rationale behind this lies in the overall energy balance within the reactor. Elevated feed air temperatures facilitate the oxidation reactions, generating more heat, and consequently, increasing the bed temperature. This increase in bed temperature, in turn, aids in promoting methane conversion. Thus, it was evident to the authors that feed air temperature acts as a catalyst for efficiency in the reactor.
Intriguingly, the sensitivity analysis revealed that both AFR and oxidation-reduction step duration exhibited non-monotonic effects on reactor performance metrics which indicated that their influence on the reactor’s behavior is not straightforward and necessitates careful tuning. The AFR, which represents the ratio of air to flared gas, plays a critical role in maintaining the reactor’s energy balance. Deviating from an optimal AFR can lead to suboptimal performance. Too much air supplied or excessively long oxidation periods can lead to reactor cooling, which is detrimental to methane conversion. Conversely, inadequate air supply or short oxidation durations result in reduced heat generation and lower bed temperatures, affecting methane conversion negatively. These non-monotonic effects emphasize the need for precise control of AFR and oxidation-reduction step duration to achieve the desired reactor performance. Striking the right balance is imperative for maximizing the efficiency of methane conversion. Drawing from the insights gained through sensitivity analysis, the authors identified four key design variables for reactor optimization, namely the Ni percentage in the oxygen carrier, feed air temperature, ratio of air-to-flared gas and ratio of oxidation-to-reduction step duration.
These variables collectively constitute a holistic approach to optimizing reactor performance. Each of these variables influences specific aspects of the reactor’s behavior, and their interplay must be carefully managed to achieve the desired outcomes. With the design variables defined, the authors proceeded to formulate and solve an optimization problem aimed at maximizing lean methane conversion to carbon dioxide. The optimization process yields specific values for these design variables, providing a blueprint for achieving peak reactor performance. In the optimized conditions, the reactor achieves near-complete methane conversion to carbon dioxide, exceeding 99% during both the reduction and oxidation stages. This remarkable level of conversion attests to the effectiveness of the proposed intensified reactor concept. The reactor’s ability to maintain a uniform bed temperature of around 700°C along most of its length is a testament to the successful management of heat and reaction fronts. The optimization results also reveal that only a small fraction of NiO is converted to Ni during the reduction stage. However, the coupling of exothermic Ni oxidation reactions with the reduction reactions plays an important role in preserving methane oxidation reactions to CO2. This symbiotic relationship within the reactor bed showcases the elegance of the chemical looping concept in enabling sustainable methane conversion. One of the challenges in real-world applications is the fluctuation of flared gas flow rates. The optimized reactor’s robustness is put to the test by subjecting it to fluctuations in flared gas flow rates within a range of 70% to 150% of its baseline value. Remarkably, the reactor maintains high methane conversion rates of over 95% and stable exit gas temperatures around 690°C, even in the face of fluctuating operating conditions. The sensitivity analysis conducted in their study has unveiled the complex interplay of key variables that govern reactor performance. It has emphasized the critical importance of Ni percentage in the oxygen carrier, reactor length, feed air temperature, air-to-flared gas ratio, and oxidation-reduction step duration. These variables collectively form the cornerstone of reactor design and optimization.
In conclusion, through optimization, Adrian Irhamna and Professor George Bollas demonstrated successfully that near-complete methane conversion to carbon dioxide is achievable, without the need for external heat, with a reactor that is designed optimally in terms of geometry, loading, capacity and controlled inputs. The reactor’s ability to maintain uniform bed temperatures and adapt to fluctuations in flared gas flow rates underscores its practical viability. As we confront the pressing challenges of climate change and environmental sustainability, innovative solutions like the intensified reactor discussed in this study offer hope for a cleaner and greener future. By converting methane emissions into less harmful carbon dioxide, we take a significant step towards a more sustainable and responsible approach to energy and environmental management.
Irhamna AR, Bollas GM. Intensified reactor for lean methane emissions treatment. AIChE J. 2023; 69(6):e18040. doi:10.1002/aic.18040.