000136256 001__ 136256
000136256 005__ 20240731105611.0
000136256 0247_ $$2doi$$a10.1021/acs.iecr.3c03415
000136256 0248_ $$2sideral$$a137740
000136256 037__ $$aART-2024-137740
000136256 041__ $$aeng
000136256 100__ $$aUgarte, Patricia
000136256 245__ $$aAir-Gap Membrane Distillation of Industrial Brine: Effect of Brine Concentration and Temperature
000136256 260__ $$c2024
000136256 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136256 5203_ $$aPrecipitated silica is a highly required and employed product on the worldwide market; its production involves the reaction of sulfuric acid and sodium silicate in aqueous solutions, leading to the undesired generation of a significant volume of brine containing Na2SO4. The treatment of this brine is crucial within the framework of a circular economy, as it enables the dual objective of preventing pollution and extracting value from waste. This study focused, at first, on evaluating the performances of the air-gap membrane distillation (AGMD) technology using a synthetic Na2SO4 brine. Then, the feasibility of applying this technology to the concentration of an industrial Na2SO4 brine was evaluated. To achieve these goals, an AGMD pilot plant with a flat sheet membrane module with an effective area of 0.025 m2 was employed. The effects of the brine concentration and feed temperature on flux were analyzed. It was observed that the flow rate and the temperature of the brine were significant parameters influencing the magnitude of the permeate flux, while flow rate and temperature of the cooling water were not particularly influential. The industrial brine concentration ranged from 120 to 270 g/L, and continuous 2-month operation was successfully achieved. Very low values for permeate conductivity were observed (1–12 μS/cm), and values close to 100% for salt rejection were measured, resulting in perfectly depurated water. A 1-D model for flat sheet-type AGMD was also developed, and it was observed to strongly correlate with the experimental data. Since no adjustable parameters were included in the model, this result validates the experimental tests and suggests that the model could be further employed to predict with accuracy many different operating conditions.
000136256 536__ $$9info:eu-repo/grantAgreement/ES/DGA/EC-208-2022
000136256 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000136256 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136256 700__ $$0(orcid)0000-0002-5926-5252$$aRenda, Simona
000136256 700__ $$aCano, Miguel
000136256 700__ $$aPérez, Jorge
000136256 700__ $$0(orcid)0000-0002-8383-4996$$aPeña, José Ángel$$uUniversidad de Zaragoza
000136256 700__ $$0(orcid)0000-0002-2494-102X$$aMenéndez, Miguel$$uUniversidad de Zaragoza
000136256 7102_ $$15005$$2555$$aUniversidad de Zaragoza$$bDpto. Ing.Quím.Tecnol.Med.Amb.$$cÁrea Ingeniería Química
000136256 773__ $$g63, 3 (2024), 1546-1553$$pInd. eng. chem. res.$$tIndustrial and Engineering Chemistry Research$$x0888-5885
000136256 8564_ $$s1775703$$uhttps://zaguan.unizar.es/record/136256/files/texto_completo.pdf$$yVersión publicada
000136256 8564_ $$s3045660$$uhttps://zaguan.unizar.es/record/136256/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136256 909CO $$ooai:zaguan.unizar.es:136256$$particulos$$pdriver
000136256 951__ $$a2024-07-31-09:21:40
000136256 980__ $$aARTICLE