Batch Reactor Research Articles

Hydrous hydrazine decomposition over Rh/Al2O3 catalyst: Experimental and CFD studies

Addressing challenges associated with fossil fuels emissions and contributing to a sustainable energy future is the main objective of the science community. Hydrogen (H2) is emerging as a promising future fuel promoting clean energy production. In this work, the catalytic decomposition of hydrous hydrazine was evaluated using a commercial 0.5 wt% Rh/Al2O3 catalyst for H2 generation. The reaction conditions for the catalyst were optimised in a batch reactor, and computational fluid dynamics (CFD) simulations were performed, accurately validating the results. CFD studies were also conducted on velocity and temperature magnitude and, reactant concentration and catalytic particles distribution in the reactor area, highlighting the key role of the systems’ uniformity on maximum H2 generation. This work is the first, to our knowledge, which uses computational simulation on hydrous hydrazine decomposition, contributing to better understand the reaction kinetics, providing insights for practical hydrogen applications.

Biogas Generation from Cotton Waste

Abstract: The anaerobic treatability and methane generation potential of three altered cotton wastes namely, cotton stalks, cotton seed hull and cotton oil cake remained determined in batch reactors. In addition, the effects of nutrient and trace metal supplementation were similarly investigated. The conversion of organics of cotton stem into bioenergy could serve the dual part of renewable energy production and waste reduction. Composition analysis demonstrated that cotton stem is a suitable feedstock for both bioethanol and biogas production. Anaerobic digestion of cotton stem attained 40.35% total biogas with 12.76% increased net CH4 volume compared to co-digestion of cotton stem with buffalo dung. Chopped cotton waste was considered as prospected substrate for biogas production. Cotton stalk was used gradually to exchange gobar content as substrate. During the study of four months the digester performed well till 90% feeding of cotton waste substrate. The maximum biogas generation detected was 1.3 m3 ; this shows that chopped cotton wastehas the potential to generate biogas. However, the digester was choked repeatedly and the concern of repetitive chocking of digester needs to be addressed.

Integrating electrochemically-assisted anaerobic reactors with conductive media for enhanced methanation of greywater

The utilization of bioelectrochemical systems is critical for the generation of methane via anaerobic digestion, and the process is influenced by the applied potential. The trajectory of biogas generation in five batch reactors showed important implications for methane production by synergistic effects of electric fields and conductive media allowing for attached growth of microorganisms. Synthetic greywater which is effective water source converts into methane within 5 days of reactor operation. The experiments emphasized that substrate availability enhanced the attached growth of microorganism in anaerobic settings. Reactor R2, with no microorganism-growing surface, produced only 20 % of the methane produced by reactor R3, which contained Polyvinylidene fluoride (PVDF) media. The presence of current (0.5 V) increased CH4 by 1.35 times in case of non-conductive media (R3) and 1.6 times in conductive media higher than without external voltage. The study indicated a direct correlation between applied voltage and methane generation up to 1.0 V. The ratio of CO2/CH4 changed from 1.16 at 0 V (R1) to 0.362, 0.32, 0.267 and 0.296 for R2-R5 at 1.0 V, respectively. Regardless of surface conductivity, the presence of media for attached microbial growth was favorable for the slow growing methanogens. However, high throughput RNA sequencing showed that electrotrophic methanogens were more abundant with conductive media than non-conductive media under electric fields.

Treatment of Wastewaters with Different Ammonium Concentrations in a Sequencing Batch Reactor by Nitritation and Denitritation Processes

In the treatment of industrial and municipal wastewaters, biological nitrification and denitrification processes have been widely applied methods. However, in recent years, experimental studies have been carried out on nitritation and denitritation processes in order to reduce the cost of wastewater treatment. In this study, the removal of synthetic wastewaters containing ammonium at various concentrations through nitritation and denitritation processes was investigated in a sequence batch reactor (SBR). The SBR was operated at a low dissolved oxygen concentration of 0.7±0.2 mg/L, while the initial pH level and temperature were kept constant at 7.5 and 25 ℃, respectively, which were below the defined optimal level for nitritation. For the initial concentrations of 100, 150, and 200 mg NH4-N/L, 91, 142, and 180 mg NOx-N were produced, respectively with the specific nitritation rates of 0.69, 0.95, and 0.81 mg NH4-N/mg MLVSS.hour. Considering the operating conditions of nitritation, approximately NO2-N/NOx-N ratio of 80% could be considered as successful with the combined effect of DO limitation and NH3 inhibition on the nitrite oxidizing bacteria. During the first days of nitritation and denitritation processes, change of nitrogen concentrations was negligible because the adaptation of organisms to the oxic and anoxic conditions. After completing nitritation stage, denitritation was carried out by using methanol as an electron donor for the initial concentrations of 91, 142, and 180 mg/L of NOx-N in 96, 120 and 264 hours of reaction times, respectively.

Analysis and Design of Sequencing Batch Reactor Basin for Sewage Treatment Plant by using Autocad

bstract: The objectives of this project are to review and evaluate sewage treatment technologies and propose a method to improve or select appropriate technology. Sequencing batch reactor (SBR) is a part of the secondary treatment process of sewage treatment. It is fill and draw-type of activated sludge system involving a single complicated mix reactor where all steps of an activated sludge process take place. The objectives of this project are to review and evaluate sewage treatment technologies and propose a method to improve or select appropriate technology. Sequencing batch reactor (SBR) is a part of the secondary treatment process of sewage treatment. It is fill and draw-type of activated sludge system involving a single complicated mix reactor where all steps of an activated sludge process take place.

Eggshell waste transformation to calcium chloride anhydride as food-grade additive and eggshell membranes as enzyme immobilization carrier

Abstract In continuation of our efforts to fully utilize eggshell waste (ESW), here we report the possibility of ESW transformation to calcium chloride (CaCl2) anhydride of food-grade additive purity and eggshell membranes (ESMs) as potential enzyme immobilization carriers. ESW chemical transformation by 5% (w/v) hydrochloric acid to CaCl2 solution and ESM completely devoid of the remnants of ESW calcium carbonate was performed in the constructed 15 L batch reactor during 4 h at room temperature, followed by separation of ESM from CaCl2 solution by filtration. ESW-derived CaCl2 solution containing the excess hydrochloric acid was neutralized by adding calcium hydroxide, concentrated to approximately 1/8th of volume, and spray dried. Separated ESM was washed with water and acetone, dried, and ground to a size of less than 0.5 mm. The ESW transformation process produced 102.42 ± 3.31 g of CaCl2 anhydrous and 2.48 ± 0.28 g of ESM per 100 g of ESW dry matter. ESW-derived CaCl2 fulfilled all criteria for food-grade additive, while obtained ESM showed their suitability for Burkholderia cepacia lipase immobilization by adsorption.

The Formalism of Chemical Thermodynamics Applied to an Oscillatory Multistep Chemical System

The thermodynamic optimization of a process focuses on consumption, production, and efficient use of energy. The unsteady-state nature of batch reactor processing requires describing the set of processes’ dynamic behavior for energy optimization. This work aims to apply the formalism of chemical thermodynamics to a multistep chemical system in a batch reactor, aiming for a dynamic description of its evolution to the equilibrium state. As the system of study, we selected a mathematical model called the Oregonator, derived from the mechanism of the oscillating Belousov-Zhabotinsky reaction. In the methodology, we used the reaction quotient to evaluate the Gibbs function, the thermodynamic affinity, and the entropy generation as a function of the reaction extent. The results show that the overall reaction fulfills the thermodynamic fundamentals of chemical equilibrium, despite having a non-stoichiometric coefficient. However, the multistep coupled reaction system does not allow verifying compliance with the thermodynamic foundations of chemical equilibrium. We conclude that it is necessary to improve thermodynamic formalism to describe multistep chemical processes as a function of a global reaction extent variable. In this scenario, the entropy production rate emerges as a promising quantity.

Robust Photocatalytic MICROSCAFS® with Interconnected Macropores for Sustainable Solar-Driven Water Purification.

Advanced oxidation processes, including photocatalysis, have been proven effective at organic dye degradation. Tailored porous materials with regulated pore size, shape, and morphology offer a sustainable solution to the water pollution problem by acting as support materials to grafted photocatalytic nanoparticles (NPs). This research investigated the influence of pore and particle sizes of photocatalytic MICROSCAFS® on the degradation of methyl orange (MO) in aqueous solution (10 mg/L). Photocatalytic MICROSCAFS® are made of binder-less supported P25 TiO2 NPs within MICROSCAFS®, which are silica-titania microspheres with a controlled size and interconnected macroporosity, synthesized by an adapted sol-gel method that involves a polymerization-induced phase separation process. Photocatalytic experiments were performed both in batch and flow reactors, with this latter one targeting a proof of concept for continuous transformation processes and real-life conditions. Photocatalytic degradation of 87% in 2 h (batch) was achieved, using a calibrated solar light simulator (1 sun) and a photocatalyst/pollutant mass ratio of 23. This study introduces a novel flow kinetic model which provides the modeling and simulation of the photocatalytic MICROSCAFS® performance. A scavenger study was performed, enabling an in-depth mechanistic understanding. Finally, the transformation products resulting from the MO photocatalytic degradation were elucidated by high-resolution mass spectrometry experiments and subjected to an in silico toxicity assessment.

Furfural Hydrogenation Over Reduced Pure (LaBO3) and Substituted (LaB0.5B'0.5O3) (B, B': Fe, Co, Ni) Perovskites

AbstractA series of pure and 50 % substituted Fe‐containing (LaFeO3, LaFe0.5Ni0.5O3 and LaFe0.5Co0.5O3) and Co/Ni‐containing (LaCoO3, LaNiO3, and LaCo0.5Ni0.5O3) perovskites were used as precursors to synthesize metallic reduced catalysts to be tested for the liquid hydrogenation of furfural. The catalytic reaction was carried out in a batch reactor at 200 °C and 3.0 MPa of H2 pressure. The calcined perovskites and reduced catalysts were characterized by X‐ray diffraction (XRD), N2 physisorption at 77 K, temperature programmed reduction (H2‐TPR), temperature programmed CO2 and NH3 desorption (CO2‐TPD and NH3‐TPD), Atomic Absorption Spectroscopy (AAS) and X‐ray photoelectron spectroscopy (XPS) techniques. The LaCo0.5Ni0.5O3 reduced catalyst display the highest activity in furfural conversion, which was attributed to a cooperative effect between highly dispersed nickel and cobalt metal nanoparticles after reduction process. The effect of the nature of B‐cation have a high impact on the products selectivity in the hydrogenation of furfural, suggesting that enriched‐Ni metal surface was selectivity to tetrahydrofurfuryl alcohol, meanwhile enriched‐Co metal surface was selective to furfuryl alcohol formation, which was also supported with adsorption mode of furfural over the active sites obtained by quantum calculation.

An optimal experimental design framework for fast kinetic model identification based on artificial neural networks

The development of mathematical models to describe reaction kinetics is crucial in process design, control, and optimisation. However, distinguishing between different candidate kinetic models presents a non-trivial challenge. Recent works on this topic introduced an approach that employs artificial neural networks (ANNs) to identify kinetic models. In this paper, the ANNs-based model identification approach is expanded by introducing an optimal experimental design procedure. The performance of the method is evaluated through a case study related to the identification of kinetics in a batch reaction system, where different combinations of experimental design variables and noise level on the measurements are compared to assess their impact on kinetic model identification. The proposed experimental design methodology effectively reduces the number of required experiments while enhancing the artificial neural network's ability to accurately identify the appropriate set of equations defining the kinetic model structure.

Anaerobic digestion of spoiled milk from dairy industry for biogas production – optimization of operating parameters and kinetic modeling of the pilot scale study

BackgroundSpoiled milk from the dairy industry was subjected to anaerobic treatment to produce biogas at 37℃ in this experiment. Parameters such as inoculum dosage, pH, Chemical Oxygen Demand (COD), and retention time were optimized in a laboratory-scale batch reactor for 90 days.MethodsThe anaerobic digestion of spoilt milk was carried out in a laboratory setting using a batch reactor. Then, using the recognized protocols of the APHA, the characteristics of the spoilt milk were assessed. In order to enhance the accuracy of predicting the reactor's performance, the research adopted two different models for kinetic analysis: the Stover-Kincannon model and the Grau second-order multi-component model. The reactor's improved performance, as indicated by evaluated kinetic parameters, was shown by the superior results from both of these models.ResultsThe results attained from the reactor’s performance were then used as a reference to improve biogas production in a 100 L Anaerobic Sequential Batch Reactor (ASBR) for 45 days. The ASBR achieved a high COD removal efficiency of 92.4% and produced a maximum of 70.4 L of biogas per liter of spoiled milk, equivalent to 69.6% methane content.ConclusionThe Stover-Kincannon model yielded kinetic parameters of Umax = 0.295 gCOD/L and KB = 12.87 gCOD/L, whereas the Grau second-order model presented kinetic coefficients a = 6.744 and b = 2.578. The results obtained from the two models suggest that the investigated kinetic coefficients could be improved upon to increase the reactor's capability for handling different substrates during the AD process.

Partial upgrading of bitumen with supercritical water— liquid products characteristics, gas composition and coke morphology

The study aimed to investigate the partial upgrading of bitumen in the absence of water (non-water) and the presence of supercritical water (SCW). Partial upgrading experiments were conducted at the target temperature of 420 °C, with the reaction time varying from zero to 60 min in a batch reactor. The liquid products were analyzed for density, viscosity, composition, total acid number (TAN), olefin content, and elemental analysis. The gas composition and morphology of solid products were also studied. The experimental results revealed that while partial upgrading of bitumen with SCW could accelerate improvement in oil quality, particularly in terms of API and viscosity, it concurrently led to elevated gas and coke formation levels. Moreover, the difference in the distribution of oil fractions between the two environments (absence and presence of SCW) tends to diminish with an extended residence time. Additionally, as the residence time increases, the efficiency of TAN reduction under SCW conditions is less pronounced compared to the non-water conditions. Liquid products obtained in an SCW environment exhibited higher olefin content (between 3 and 4 wt %) compared to non-water conditions (between 1.8 and 2.7 wt %). In both environments, the olefin content was initially increased up to a residence time of 20 min and then decreased. Regarding heteroatoms, the sulphur (S) and nitrogen (N) contents decreased up to 36 % and 72 %, respectively, while a greater reduction was observed in the presence of SCW. More non-hydrocarbon gases (H2S, CO2 and CO) were produced in the presence of SCW. SEM images showed that an extended residence time led to a shift in coke morphology towards a more uniform and compact structure, regardless of the upgrading environment. However, the porous structures of coke samples obtained under SCW are distinguished from those formed without water, which is attributed to the phase inversion of precursors. The findings of this study confirm that SCW plays a beneficial role as a solvent in the partial upgrading of bitumen, expediting the process. However, the increased level of coke formation and olefin contents suggest that it may not function effectively as a hydrogen donor in the process.

Ultrasonication-induced metabolic pathway shifts and reduced electron carrier washout with biomass enhanced hydrogen yield in a continuous stirred tank reactor

Biohydrogen is pivotal for hydrogen economy, providing a renewable, carbon–neutral source of hydrogen from organic waste and biomass. It addresses environmental concerns and supports circular economy principles. However, challenges like managing metabolic pathways and dissolved hydrogen hinder attainment of higher hydrogen yields. This study explored the impact of organic loading rates (OLR) and ultrasonication on glucose fermentation by Clostridium pasteurianum for biohydrogen production.Results showed ultrasonication, particularly at 10 g/L.d OLR, increased hydrogen yield from 1.04 to 1.28 mol-H₂/mol-glucose. Higher OLR boosted biogas production, and at 10 g/L.d OLR, ultrasonication improved hydrogen purity from 46% to 53%, enhancing yield by 13%. C. pasteurianum shifted metabolic pathways under higher OLR, increasing lactate production to address redox imbalance. However, ultrasonication negatively affected lactate and acetate reutilisation, redirecting carbon flux from lactate to butyrate, increasing hydrogen yield.Combining ultrasonication and increased OLR enhanced glycolysis carbon flux by 14.5% and reduced biomass carbon flux by 10.5%. Hydrogen yield, influenced by glycolysis carbon flux, reached 82% under ultrasonication and increased OLR. Ultrasonication mitigated inhibitory effects on electron carrier molecule re-oxidation, emphasising the need to balance biomass, dissolved hydrogen concentration, and OLR for optimal hydrogen recovery.Despite decreased acetate/butyrate ratio and unchanged theoretical hydrogen production with ultrasonication, hydrogen yield increased. This likely resulted from reduced electron carrier molecule wastage with biomass, influenced by higher biomass concentration and ultrasonication. The study underscored preventing electron carrier molecule washout for higher hydrogen production and recommends using batch reactors over continuous stirred tank reactors in dark fermentation operations.

Hybrid peroxymonosulfate/activated carbon fiber-sequencing batch reactor system for efficient treatment of coking wastewater: Establishment and influential factors

Coking wastewater contains high concentrations of toxic and low biodegradable organics, causing long hydraulic retention times for its biological treatment process. This study developed a pretreatment method for coking wastewater by using activated carbon fiber (ACF) activated peroxymonosulfate (PMS) to improve the treatment performance of subsequent biological post-treatment process, sequencing batch reactor (SBR). The results showed that, after optimization of treatment processes, the removal efficiency of chemical oxygen demand (COD), phenol, and chroma in coking wastewater reached to 76, 98, and 98%, respectively, with a significantly improved biodegradability. Compared with the sole SBR system without any pretreatment that could remove 73% of COD, the ACF/PMS+SBR system removed over 97% of COD in coking wastewater. Moreover, this pretreatment method facilitated the growth of functional bacteria for organics biodegradation, indicating its high potential as a highly efficacious pretreatment strategy to improve the overall treatment efficiency of coking wastewater.

A life cycle assessment of the laboratory—scale oxidative liquefaction as the chemical recycling method of the end-of-life wind turbine blades

According to the latest reports, estimated values of 50,000–66 000 t of end-of-life wind turbine blades (WTB) are expected to be decommissioned in Europe in 2025–2030, posing a significant threat from the environmental and waste management perspectives. This study aims to present the preliminary Life Cycle Assessment (LCA) with sensitivity and uncertainty analysis of the lab-scale oxidative liquefaction process of the WTB, as the original method to recover the high-quality glass fibers with simultaneous production of the secondary chemicals: phenols, ketones, acids, and fatty acids, from the oxidation of the epoxy resin from the polymer matrix. The LCA is based on the experimental results of the oxidative liquefaction process carried out on a laboratory scale using a Parr 500 ml batch reactor, at two different conditions sets for the functional unit (FU) of 1 kg of treated WTB. Each of the analyzed scenarios resulted in higher impact indicators compared to the landfilling. The highest quality fibers were obtained at 350 °C and 40 wt % H2O2 content resulted in 5.52 ± 1.20 kgCO2 eq Climate change impact and 97.8 ± 20.6 MJ of Resource use, fossil per kg of recycled WTB. The lowest quality fiber recovered in char, yet well separated from the matrix obtained at 250 °C and the lowest H2O2 content resulted in 0.0953 ± 0.487 kgCO2 eq Climate change impact and 8.84 ± 7.90 MJ of Resource use, fossil per kg of recycled WTB. The hot spot and sensitivity analysis indicated, that the oxidizer for the process – hydrogen peroxide, when acquired as a shelf product causes a significant burden on the whole process, with sensitivity ratios on the total impact indicators varying across the categories from 0.56 to 0.99. Substitution of H2O2 with theoretical 0-input oxidizer allowed to significantly lower environmental load of the recycling process, which in all of the analyzed scenarios presented environmental benefits compared to landfilling with recovery of the glass fiber and secondary chemicals.

Adaptive event‐triggered secure control for networked control systems subject to deception and replay cyber‐attacks

SummaryAn adaptive event‐triggered scheme is considered for networked control systems subject to deception and reply cyber attacks. In particular, the adaptive event‐triggered mechanism is used in the closed‐loop controller design to reduce signal transmission and communication burden. The attacker destroys the system's performance by employing deception attacks on sensor‐to‐controller communication channels and replay attacks on controller‐to‐actuator communication channels, respectively. By utilizing the Lyapunov stability approach, the closed‐loop system guarantees mean square stability and ensure security. The adaptive event‐triggered controller gains are presented by solving a set of matrix inequalities. Finally, a simulation result including the model of a batch reactor is presented to demonstrate the efficiency of the methods proposed.

Effect of Fermentation Time, pH, and Their Interaction on the Production of Volatile Fatty Acids from Cassava Wastewater

Acidogenic fermentation is a technology that involves halting methanogenesis in the conventional anaerobic digestion process to produce mainly volatile fatty acids (VFAs). VFAs serve as direct precursors to energy-rich or higher value-added products upon undergoing additional processing. In this study, batch reactors were utilized to assess the individual and interaction effects of fermentation time and pH variables on VFA production from acidogenic fermentation of cassava wastewater through the establishment of a completely randomized design and a second-order response surface (rotatable central composite design), respectively. The maximum VFA production observed was 3444.04 mg of acetic acid (HAc)/L (0.58 gCODVFA/gCOD) in a fermentation time of 6 days, with acetic (48.5%), propionic (28.3%), and butyric (13.6%) acids identified as the main metabolites. Additionally, in the assessment of the effect of pH, the maximum VFA production reached 2547.72 mgHAc/L (0.34 gCODVFA/gCOD) at pH 5.9, and acetic acid was identified as the predominant organic acid. Statistically, the fermentation time and pH variables individually affect VFA production from cassava wastewater; however, the interaction between them generated a non-significant effect.

Promoter Effect of Pt on Zr Catalysts to Increase the Conversion of Furfural to γ-Valerolactone Using Batch and Continuous Flow Reactors: Influence of the Way of the Incorporation of the Pt Sites.

The valorization of biomass and its transformation into fuels are highly interesting due to the abundance of biomass and its almost neutral carbon emissions. In this article, we show the production of γ-valerolactone (GVL), a valuable product, from furfural (FF), a compound that can be easily obtained from biomass. This FF to GVL transformation involves a catalytic cascade reaction with two hydrogenation steps. Pt and/or Zr supported on sepiolite catalysts have been prepared and tested in the FF transformation reaction. A physical mixture of a Zr-based and a Pt-based catalyst has reached a yield to GVL of ca. 50% after 16 h at 180 °C. This performance largely exceeds that obtained by each of the single Pt or single Zr metal catalysts independently, showing a strong synergistic effect. These data suggest that each metal (Pt and Zr) plays an important and complementary role in different reaction steps. Furthermore, the physical mixture appears to be much more efficient than bimetallic Pt/Zr catalysts synthesized with the same amount of metals. The role of the type of acidity and the oxidation state of the surface platinum species on the catalytic performance has been discussed. Moreover, this reaction has been carried out in batch and continuous flow reactors, and a comparative study between the two operation modes has been undertaken. A certain correlation between the catalytic results obtained by both operation modes has been found.

Development of a functional catalytic membrane by alkalization of PVA and green synthesis of fuel additive glycerin carbonate with high oxygen content

ABSTRACT Glycerin carbonate with high oxygen content has the potential to be an oxygenated fuel additive that improves fuel properties and reduces harmful gas emissions. Glycerin carbonate was produced from the green solvent dimethyl carbonate and glycerin through a heterogeneous catalytic membrane under environmentally friendly and mild conditions. The PVA/NaOH catalytic membrane was prepared in film form from polyvinyl alcohol (PVA) polymer with good film-forming properties and sodium hydroxide, a strong base. The heterogeneous catalytic membrane obtained by adding sodium hydroxide to the polymer is environmentally friendly with easy recovery. The chemical structure and thermal resistance of the produced catalytic membranes were examined by Fourier-transform infrared spectroscopy and Thermogravimetric analysis. Reaction experiments were carried out in a batch reactor, and the influences of reaction parameters such as time, catalyst amount, DMC/glycerin initial molar ratio, and temperature on the reaction yield were investigated. The maximum glycerin carbonate yield of 93.03% was obtained after 2 h of reaction time, with a NaOH ratio of 7.5% a DMC/Glycerin molar ratio of 3/1, and a reaction temperature of 75°C. Additionally, the influences of reaction variables on glycerin carbonate yield were analyzed and the obtained yield data are supported by the Response surface method (RSM).

Synergistic effect of light in piezocatalytic activation of peroxymonosulfate using graphtic carbon nitride nanosheets for degradation of organic pollutants

The objective of the study was to understand the photo-piezocatalytic response of graphitic carbon nitride nanosheets (CNNS) for the activation of peroxymonosulfate (PMS). Methylene blue (MB) dye was targeted by PMS activation using CNNS under ultrasonic-assisted piezocatalysis and photo-piezocatalysis in a batch reactor for 120 min. CNNS has shown 98.4% MB removal within 120 min in a batch study (PMS = 200 mg L-1, CNNS = 1 g L-1, ultrasonicator = 40 kHz, UV-A light = 250 W). CNNS (0.0157 min-1) showed 1.3 times higher photo-piezocatalytic activity compared to bulk graphitic carbon nitride (CNB) for PMS activation due to improvement in in-plane polarization. In the photo-piezocatalytic CNNS/PMS/MB system, a scavenging study revealed that the primary contributors for MB removal were hydroxyl radical (.OH) and sulfate radical (SO4.-). The piezoelectric effect combined with light at CNNS improved the excitation of charge carriers, followed by charge carrier separation due to band tilting. Finally, the effects of CNNS dose, PMS dose, and competitive anions were studied for MB removal using CNNS under photo-piezocatalysis. Overall, CNNS is a promising photo-piezocatalyst for the removal of emerging organic pollutants through PMS activation.