López Pastor R, Pinna-Hernández M G, Sánchez Molina J A, Acién Fernández F G
Department of Chemical Engineering, University of Almería, Carretera de Sacramento s/n 04120 La Cañada de San Urbano, Almería, Spain.
Solar Energy Research Centre (CIESOL), Joint Centre University of Almería-CIEMAT, Almería, 04120, Spain.
Heliyon. 2024 Nov 16;11(1):e40346. doi: 10.1016/j.heliyon.2024.e40346. eCollection 2025 Jan 15.
This work studies the influence of flue gas composition, its moisture and ash content, on the efficiency of a CO adsorption/desorption process to capture the CO from flue gases along with its subsequent reuse in greenhouse CO enrichment (Patent ES2514090). The influence of the inlet flow rate, moisture, and ash content were analysed. The experimental conditions were based on those that are achievable under real operating conditions, namely an inlet flow rate from 1.2 to 4.8 L per minute, humidity from 3 % to 65 %, and an ash concentration from 0 % to 1 %. The results show that the inlet flow had no effect on the adsorption capacity but that there was a reduction in the adsorption capacity at the higher humidity and ash content levels studied, of 10.5 % and 21 %, respectively. The data were used to develop models based on the Langmuir and Freundlich isotherm that fitted the experimental data with a reliability of 100 % and 80.1 %, respectively. This model was used to optimize the combustion gas variables and thus their influence on the final CO adsorption/desorption capacity. The techno-economic analysis performed confirmed a total cost reduction of 12 % when using the optimal combustion gas conditions (a relative humidity of 3 % and an ash concentration of 0 %) versus the worst gas conditions (a relative humidity of 65 % and an ash concentration of 1 %), which resulted in a saving of 60 % by avoiding the use of liquified CO. These results confirm the technical and economic viability of the proposed technology and its potential contribution to improving the environmental and economic sustainability of agricultural food production.
本研究探讨了烟气成分、水分和灰分含量对CO吸附/解吸过程效率的影响,该过程用于从烟气中捕获CO,并随后将其用于温室CO富集(专利ES2514090)。分析了入口流速、水分和灰分含量的影响。实验条件基于实际运行条件下可实现的条件,即入口流速为每分钟1.2至4.8升,湿度为3%至65%,灰分浓度为0%至1%。结果表明,入口流速对吸附容量没有影响,但在所研究的较高湿度和灰分含量水平下,吸附容量分别降低了10.5%和21%。这些数据用于建立基于朗缪尔和弗伦德里希等温线的模型,分别以100%和80.1%的可靠性拟合实验数据。该模型用于优化燃烧气体变量,从而优化其对最终CO吸附/解吸容量的影响。进行的技术经济分析证实,与最差气体条件(相对湿度65%,灰分浓度1%)相比,使用最佳燃烧气体条件(相对湿度3%,灰分浓度0%)时,总成本降低了12%,通过避免使用液化CO节省了60%。这些结果证实了所提出技术的技术和经济可行性及其对提高农业食品生产的环境和经济可持续性的潜在贡献。