Next EnergyPub Date : 2025-06-21DOI: 10.1016/j.nxener.2025.100337
Tejalkumar Chaudhari, Sandeep Chakravorty
{"title":"Analysis and advancements of the state of charge estimation methods in smart battery management system supported by lithium-ion battery operated electric vehicles","authors":"Tejalkumar Chaudhari, Sandeep Chakravorty","doi":"10.1016/j.nxener.2025.100337","DOIUrl":"10.1016/j.nxener.2025.100337","url":null,"abstract":"<div><div>This study presents the comprehensive analysis and investigation of State of Charge (SOC) estimation methods used for Lithium-Ion batteries in electric vehicles. The lithium-ion batteries are elegantly used in the electric vehicle due to their advantages like light in weight, economic, higher specific and energy density, long service life, but they must be operated in the safe operating area. Since it is the most precious part of electric vehicle it needs continuous observations, this task is completed by the Battery Management System (BMS) in Electric Vehicles. SOC of lithium-Ion battery plays a crucial role in the smart BMS for the safe and reliable operation of batteries, hence the advancement in the fast-growing battery technology needs an efficient BMS, also SOH, SOF, SOAP, RUL, Charging/discharging as well as almost all the safety operational parameters are largely depends on SOC, which leads to enhance robustness, accuracy and nonlinear handling of SOC estimation methods. This study incorporates the thorough discussion on the estimation methods utilized in realizing the SOC, generally these methods are grouped as conventional or book keeping methods, equivalent model-based methods, filtering algorithm methods, data driven methods and hybrid methods. As its well defined that every technique has its pros and cons with challenges are thoroughly described in this study. The primary objective of this study to give up to date summary of all latest advancement in SOC estimation methods, offering insights to innovative approaches and emphasis on developing new learning algorithms and hybrid methods to enhance accuracy and adaptability. This study systematically presents analysis of the advancement of the SOC estimation methods the study mainly focuses on enhancement of estimation accuracy, robustness and reliability of the methods used in realizing the SOC with the changing temperature and nonlinear behavior of the LIBs. In real time the accuracy and the nonlinear behavior of energy storage systems becomes the limitations at the extreme temperature. But, in a contrast with that the data driven techniques are having the ability to cope up with this behavior of temperature fluctuation and with different operating conditions from the historical data because these methods basically extract the nonlinear relationships form their history. In addition, with this the hybrid approach of integrating AI methods with the available SOC estimation methods gives the fruitful result with lightweight algorithm nature with improved accuracy and robustness this enables the hybrid approach making it suitable for deployment in real-world for easy implanting in BMS to estimating SOC where embedded constraints are significant. This study also suggests that future research should focused on furnishing the existing algorithms, investigation of new learning algorithm methods and integrating the latest and advance sensor technologies to realize real time, accurate","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100337"},"PeriodicalIF":0.0,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Techno-economic analysis of waste heat recovery power plants in cement industry – A case study in Ethiopia","authors":"Alebachew T. Mossie , Dilip Khatiwada , Bjorn Palm , Getachew Bekele","doi":"10.1016/j.nxener.2025.100339","DOIUrl":"10.1016/j.nxener.2025.100339","url":null,"abstract":"<div><div>Cement manufacturing is a highly energy-intensive process, with a significant amount of the thermal energy in the production chain being lost. Consequently, exploring ways to capture and utilize this wasted heat to generate electricity and meet industrial energy requirements is crucial. This study investigates the potential for Waste Heat Recovery (WHR) power generation with a case study in the Ethiopian cement industry. The levelized cost of energy (LCOE) and the Net Present Values (NPV) of the WHR power plant based on 3 options (i.e., steam Rankine cycle, Organic Rankine cycle, and Kalina Rankine cycle) are evaluated. The findings reveal that the steam Rankine cycle-based waste heat recovery power plant is the only feasible option in the Ethiopian cement plant, with a NPV of 0.35 million USD and a LCOE of about 0.04 USD per kWh. The power capacity of the feasible plant is about 8.9 MW for the studied cement plant with an annual production capacity of 2.3 Mt of cement, covering about 18% of its electricity demand. The plant's associated reduced CO<sub>2</sub> emissions potential is insignificant, as the hydropower sources dominate the national power grid. However, assuming the proposed WHR power plant reduces the activation of diesel power plants during peak hours in the Ethiopian power grid, the Steam Rankine Cycle (SRC)-based waste heat recovery power plant (WHRPP) in the case study cement plant has the potential to reduce CO<sub>2</sub> emissions by approximately 7.9 million tonnes per year. Sensitivity analysis has been conducted to ensure that the results derived from the base case assumptions remain reliable despite potential fluctuations in the key parameters. This study could be a useful reference for policymakers and industries to harness alternative and sustainable electricity generation potential from onsite power generation plants in the cement industry.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100339"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Next EnergyPub Date : 2025-06-18DOI: 10.1016/j.nxener.2025.100343
Sarah Susan Jolly , A.R. Twinkle , B.S. Arun Sasi , R. Reshma
{"title":"Emerging paradigms in renewable hydrogen production: Technology, challenges, and global impact","authors":"Sarah Susan Jolly , A.R. Twinkle , B.S. Arun Sasi , R. Reshma","doi":"10.1016/j.nxener.2025.100343","DOIUrl":"10.1016/j.nxener.2025.100343","url":null,"abstract":"<div><div>Hydrogen production from renewable sources has emerged as a promising solution for achieving a sustainable energy future. This review article provides a comprehensive analysis of the latest innovations and challenges associated with renewable hydrogen production, focusing on technological advancements, industrial applications, and future directions. Key methods for renewable hydrogen production, including electrolysis, photoelectrochemical processes, and thermochemical cycles, are explored in detail, highlighting recent progress in improving efficiency and reducing costs. The article also examines the role of renewable hydrogen in various industrial sectors, including chemical manufacturing, energy storage, and power generation, emphasizing its potential to significantly reduce carbon emissions and support grid stability. Case studies from Germany, Japan, and Australia illustrate real-world applications and challenges in implementing renewable hydrogen technologies, showcasing the impact of supportive policies, investment, and infrastructure development. Despite significant advancements, challenges such as high production costs, infrastructure needs, and integration with existing systems persist. Future research is poised to address these issues through innovations in electrolysis and catalysis, hybrid renewable systems, and the application of artificial intelligence for process optimization. The article concludes by underscoring the critical role of continued investment, policy support, and technological evolution in realizing the full potential of renewable hydrogen. As the industry progresses, renewable hydrogen is expected to become a central component of a low-carbon energy system, contributing to global sustainability goals and climate change mitigation efforts.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Next EnergyPub Date : 2025-06-18DOI: 10.1016/j.nxener.2025.100335
Khryslyn G. Araño , Beth L. Armstrong , Anton W. Tomich , Matthew S. Chambers , Joseph Quinn , Harry M. Meyer III , Chanaka Kumara , Zoey Huey , Chun-Sheng Jiang , Chongmin Wang , Christopher S. Johnson , Raymond R. Unocic , Gabriel M. Veith
{"title":"Investigating the impact of preparation routes on the properties of copper-decorated silicon particles as anode materials for lithium-ion batteries","authors":"Khryslyn G. Araño , Beth L. Armstrong , Anton W. Tomich , Matthew S. Chambers , Joseph Quinn , Harry M. Meyer III , Chanaka Kumara , Zoey Huey , Chun-Sheng Jiang , Chongmin Wang , Christopher S. Johnson , Raymond R. Unocic , Gabriel M. Veith","doi":"10.1016/j.nxener.2025.100335","DOIUrl":"10.1016/j.nxener.2025.100335","url":null,"abstract":"<div><div>In recent years, the calendar life of Si has been recognized as a significant issue that must be addressed prior to technology deployment: The carbon conductive additive is a potential source of parasitic side reactions. However, carbon remains essential due to the low electronic conductivity of Si. In this study, we investigate the use of Cu as a conductive additive and potential alternative to carbon. Some Cu-decorated silicon particles (Si<sup>Cu</sup>) were prepared using physical vapor deposition (PVD) via sputtering and high-energy milling. Other Si<sup>Cu</sup> particles were prepared by using a solution method and examined briefly. The milling method caused Cu to appear as island-like features on the Si surface, whereas the PVD method initially produced similar island-like features that gradually developed into a continuous coating around the Si as sputtering time increased. Electrodes fabricated from Si<sup>Cu</sup> exhibited lower overall resistivity, demonstrating the beneficial effect of Cu in improving electronic percolation through the electrode. Electrochemical tests showed that the milled Si<sup>Cu</sup> exhibited higher capacity retention, improved rate capability, and lower overpotential. Furthermore, Si<sup>Cu</sup> coupled with an NMC811 cathode exhibited lower leakage currents compared with the baseline silicon, indicating that incorporating Cu provided an additional advantage of minimizing parasitic currents in the cells.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100335"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Next EnergyPub Date : 2025-06-18DOI: 10.1016/j.nxener.2025.100342
Shuliang Li , Miao He , Yihui Wu , Yunrui Gao , Yong Sha , Xiaoliang Wang , Li Yang , Xianmin Mai
{"title":"High-performance daytime passive cooling: A tree-inspired approach utilizing integrated radiative and evaporative cooling","authors":"Shuliang Li , Miao He , Yihui Wu , Yunrui Gao , Yong Sha , Xiaoliang Wang , Li Yang , Xianmin Mai","doi":"10.1016/j.nxener.2025.100342","DOIUrl":"10.1016/j.nxener.2025.100342","url":null,"abstract":"<div><div>Radiative cooling technology, a passive method that enables objects to reach temperatures below the environment without using electricity, has gained attention as a potential substitute for traditional cooling systems. However, according to Planck's law of blackbody radiation, the theoretical maximum net cooling power for an object at around 300 K is limited to 150 W m<sup>−2</sup> which presents a challenge to its commercialization. The study presents a system that combines radiative and evaporative cooling, built from treated wood and topped with a composite layer of hydrophobic aluminum oxide nanoparticles and cellulose microfibers. This design achieves an average cooling power of up to 980 W m<sup>−2</sup> within a 30-min test. The cooler has an average emissivity of 91.67% within the atmospheric window and reflects 98.55% of incoming sunlight. This cooling system exhibits strong radiative cooling during daylight hours while maintaining efficient evaporative cooling, substantially boosting passive cooling effectiveness throughout the day. It achieves an average air temperature reduction of 7.9 ℃ compared to the air temperature during the day, with a peak difference of up to 19.7 ℃. Even under cloudy conditions with lower solar radiation, this cooler consistently maintains an average air temperature difference of 5.5 ℃ from the surrounding environment, with a maximum difference of up to 10.1 ℃. This study provides valuable insights for designing highly efficient, scalable passive cooling systems that optimize daytime cooling performance by simultaneously harnessing infrared radiation and water evaporation.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100342"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Freestanding MnO2 nanowires/carbon cloth assisted by NH4Br as a cathode for aqueous rechargeable zinc-ion batteries","authors":"Lukman Noerochim , Husnul Chotimah , Vania Mitha Pratiwi , Haniffudin Nurdiansah , Widyastuti , Retno Asih , Darminto , Yatim Lailatun Ni’mah , Rojana Pornprasertsuk , Andika Wahyu Afrianto , Tomoaki Watanabe , Nurul Hayati Idris","doi":"10.1016/j.nxener.2025.100345","DOIUrl":"10.1016/j.nxener.2025.100345","url":null,"abstract":"<div><div>In terms of renewable energy sources, aqueous rechargeable zinc-ion battery (ARZIB) is a promising candidate to replace lithium-ion batteries. Zn as a major component in ARZIB is low cost, abundant, and nontoxic. MnO<sub>2</sub> as a cathode has a polymorphic structure that can be affected by reduction agent materials. In this study, NH<sub>4</sub>Br was used as a reduction agent in the synthesis of MnO<sub>2</sub> nanowires grown in carbon cloth. MnO<sub>2</sub> nanowires/carbon cloth is synthesized by the hydrothermal method at 180 ⁰C for 5 h. As-prepared MnO<sub>2</sub> has nanowires with a diameter range of less than 100 nm. The 1.2 mmol NH<sub>4</sub>Br exhibited the best performance among the other variations, with a small R<sub>ct</sub> of 38.11<!--> <!-->Ω, Coulombic efficiency of 98.79% after 100 cycles, and a specific capacity of 230 mAh g<sup>−1</sup> at 100 mA g<sup>−1</sup>. Therefore, MnO<sub>2</sub> nanowires/carbon cloth is a promising candidate as a cathode material for aqueous rechargeable zinc-ion batteries.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100345"},"PeriodicalIF":0.0,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Next EnergyPub Date : 2025-06-16DOI: 10.1016/j.nxener.2025.100340
Yoshitsugu Kojima
{"title":"Round-trip efficiencies of green ammonia and green hydrogen","authors":"Yoshitsugu Kojima","doi":"10.1016/j.nxener.2025.100340","DOIUrl":"10.1016/j.nxener.2025.100340","url":null,"abstract":"<div><div>The water electrolysis voltage of conventional green ammonia was 1.84 V. The voltage with the same energy consumption of gray ammonia was 1.50 V, which was similar to the thermoneutral voltage (1.48 V). The round-trip efficiencies using overseas transportation 10,000 km of green ammonia increased with decreasing water electrolysis voltage, having high volumetric energy density 3530 Wh/L in the liquid state. The round-trip efficiencies were 23–42% depending on the voltage reduction from 1.84 to 1.48 V and power generation systems. In addition, the round-trip efficiencies using land transportation (pipeline) of green hydrogen also increased with decreasing water electrolysis voltage. The round-trip efficiencies were 28–52%, although the volumetric energy density was below 0.01 of liquid ammonia.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100340"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Synergistic effects of Ni doping in MnO2 nanorods: Structural and electrochemical insights for high-performance supercapacitors","authors":"Ritesh Kumar , Diksha , Prachi Jain , Rajesh Kumar Singh , Achchhe Lal Sharma","doi":"10.1016/j.nxener.2025.100336","DOIUrl":"10.1016/j.nxener.2025.100336","url":null,"abstract":"<div><div>Supercapacitors are the future of electric vehicles (EVs) because of their high-power density, due to their low energy density, they are not frequently used in EVs, which has pushed researchers towards improving their energy densities. In the present study, the Ni-MnO<sub>2</sub> nanorods have been prepared at different weight percentages of Ni, that is, 2%, 5%, and 7%, using a 1-pot-assisted hydrothermal method. Different techniques were used to characterize the sample, that is, X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM) to check structural and morphological properties. EDX results confirmed the doping, including different elements (Ni, Mn, O) in the samples. Further, we looked at how well the Ni-MnO<sub>2</sub> electrode worked with 6 M potassium hydroxide (KOH) electrolyte over a wide potential window. The best performance has been observed at 5% weight percentage (NMn-5), exhibiting a specific capacitance of 336 F/g, energy density of 31.7 Wh/kg, and power density of 440 W/kg. Material promises good cyclic stability (capacitance retention 71.8% after 2000 cycles at 1 Ag<sup>−1</sup>) and coulombic efficiency (90.8%). Further, to check the practicality of the material, we fabricated a device to glow the red LED, and the LED glowed for 5 minutes.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100336"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Next EnergyPub Date : 2025-06-12DOI: 10.1016/j.nxener.2025.100320
Haoxiang Zhang , Sunny Chaudhary , Carlos D. Rodríguez-Gallegos , Tasmiat Rahman
{"title":"Advancements in solar spectral irradiance modelling for photovoltaic systems: A machine learning approach utilising on-site data","authors":"Haoxiang Zhang , Sunny Chaudhary , Carlos D. Rodríguez-Gallegos , Tasmiat Rahman","doi":"10.1016/j.nxener.2025.100320","DOIUrl":"10.1016/j.nxener.2025.100320","url":null,"abstract":"<div><div>Energy yield estimation for photovoltaics (PV) plays a crucial role in the growth of renewable energy. To reduce uncertainty in these estimations, having a spectral resolved irradiance is key. In the field of PV, radiative transfer models (RTMs) and spectroradiometers are commonly utilised to determine spectral solar irradiance, which is crucial for assessing spectral effects. However, these methodologies have inherent limitations; RTMs require precise and complex inputs of aerosol and meteorological data, while spectroradiometers entail significant costs. With the advancement of machine learning (ML) techniques, a data-driven spectral irradiance model is proposed in this study, which only requires the global horizontal irradiance (<em>GHI</em>) measured by pyranometer and the reference cell as input. Spectral data and meteorological data collected by Solar Energy Research Institute of Singapore (SERIS) at four sites across three continents are used for the training and testing of our models. We examined the viability on spectra modelling of three ML techniques including Long Short-Term Memory networks (LSTM), Random Forest (RF) algorithms and Extreme Gradient Boost (XGBoost). XGBoost achieves relatively good accuracy; additionally, the computational cost is much lower compared to LSTM and RF. The proposed ML model shows an overall <em>R</em><sup>2</sup> of 0.974 in comparison with 0.646 of the SMARTS model in the spectrum range 350.4–1052.4 nm. The ML models outperform the SMARTS model particularly under intermediate and overcast conditions. We have also shown that a model trained on data from a specific site cannot be effectively applied to other locations.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100320"},"PeriodicalIF":0.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of biomethanation process with intermittent hydrogen purging","authors":"Sujesh Shrestha , Nabin Aryal , Anish Ghimire , Sunil Prasad Lohani","doi":"10.1016/j.nxener.2025.100325","DOIUrl":"10.1016/j.nxener.2025.100325","url":null,"abstract":"<div><div>Biogas upgrading has been intensively investigated to use biogenic carbon sources to produce biomethane. Unlike conventional upgradation practice, which separates CO<sub>2</sub> from raw biogas, novel biological CO<sub>2</sub> biomethanation can convert CO<sub>2</sub> present in raw biogas into CH<sub>4</sub> by hydrogenotrophic methanogens in presence of exogenous H<sub>2</sub>. In this study, CO<sub>2</sub> biomethanation process with intermittent pulse H<sub>2</sub> injection was experimented with <em>ex-situ</em> condition with externally supplied CO<sub>2</sub> in a batch mesophilic continuously stirred tank reactor (CSTR) with nutrient-enriched inoculum adapted in H<sub>2</sub>-CO<sub>2</sub> environment. Gas composition, CH<sub>4</sub> yield, CO<sub>2</sub> utilization efficiency and volatile fatty acid (VFA) profile were examined. The result indicates final CH<sub>4</sub> composition of 82.71% with H<sub>2</sub> injection. The net CH<sub>4</sub> yield from biomethanation was found to be 0.78 mmol (0.20 mmol<sub>CH4</sub>/mmol<sub>H2</sub>). The CO<sub>2</sub> utilization efficiency of 74.53% was achieved with CH<sub>4</sub> yield of 80.21% of theoretical potential of supplied H<sub>2</sub>. VFA analysis shows total VFA concentration of 5.10 mg/L and the pH was maintained at 7.53. This suggests that there is no accumulation of VFAs, supporting pulse injection as an effective remedial approach to mitigate the effects of H<sub>2</sub> supply during biomethanation process. CO<sub>2</sub> biomethanation can serve as a H<sub>2</sub> end-use application, carbon capture and utilization method in addition to biological biogas upgradation.</div></div>","PeriodicalId":100957,"journal":{"name":"Next Energy","volume":"8 ","pages":"Article 100325"},"PeriodicalIF":0.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}