Production & Supply Chain
Recent Advances in MXene-based Nanocomposites for Photocatalytic Wastewater Treatment, Carbon Dioxide Reduction, and Hydrogen Production: A Comprehensive Review
Oct 2025
Publication
This review critically examines recent advancements in MXene-based nanocomposites and their roles in photocatalytic applications for environmental remediation and renewable energy. MXenes two-dimensional transition metal carbides nitrides and carbonitrides (Mn+1XnTx where M = transition metal X = C/N Tx = surface terminations such as –O –OH –F) exhibit high electrical conductivity tunable band structures hydrophilic surfaces and large specific surface areas. These properties make them highly effective in enhancing photocatalytic activity when incorporated into composite systems. The review summarizes synthesis methods structural modifications and the mechanisms underlying photocatalytic performance highlighting their efficiency in degrading organic inorganic and microbial pollutants converting CO₂ into value-added chemicals and generating H₂ via water splitting. Key challenges including stability oxidation and scalability are analyzed along with strategies such as surface passivation heterojunction formation and hybridization with antioxidant materials to improve performance. Future research should focus on developing green synthesis methods improving long-term stability and exploring scalable production to facilitate practical deployment. These insights provide a comprehensive understanding of MXene nanocomposites supporting their advancement as multifunctional photocatalysts for a clean and sustainable energy future.
Solar-powered Hydrogen Production: Modelling PEM Electrolyser Systems for Optimal Integration with Solar Energy
Oct 2025
Publication
This study presents an experimental approach to modelling PEM electrolysers for green hydrogen production using solar energy. The objective is to implement a temperature steady-state electrolyser model to assess the optimal coupling configuration with a photovoltaic plant and estimate the yearly hydrogen production capacity. The research focuses on the energy consumption of ancillary systems under different load conditions developing a steady-state operational model that improves hydrogen production predictions by accounting for these consumptions. The model based on polynomial equations captures the non-linear variation in energy costs under partial load conditions. PEM electrolysers produce hydrogen above 3.0 quality (99.9% purity) and it is feasible to integrate purification processes to reach 5.0 quality (99.999% purity). While small-scale systems include purification large-scale facilities separate it enabling process optimisation. Two models are introduced to estimate hydrogen mass flow depending on purity: a base-purity model and a high-purity model that includes drying and pressure swing adsorption. Both are based on experimental data from a five-year-old small-scale electrolyser and are applicable to large-scale systems at partial load. Due to test conditions the model applied to large-scale facilities underestimates hydrogen production affected by energy losses from a non-optimised purification process and electrolyser degradation. Model validation with large-scale operational data from the literature shows the model captures plant behaviour well despite the consistent underestimation described above. The model is applied to several European locations to identify optimal photovoltaic-to-electrolyser ratios. Oversizing factors between 1.4 and 2 are needed to cover ancillary consumption. The levelised cost remains comparable for both purity levels despite higher energy demands for high-purity hydrogen due to the greater cost of the electrolyser over the photovoltaic plant.
Optimization of Novel Variable-Channel-Width Solid Oxide Electrolysis Cell (SOEC) Design for Enhanced Hydrogen Production
Oct 2025
Publication
This study presents a novel solid oxide electrolysis cell (SOEC) design with variable channel widths to optimize thermal management and electrochemical performance for enhanced hydrogen production. Using high-fidelity computational modeling in COMSOL Multiphysics 6.1 five distinct channel width configurations were analyzed with a baseline model validated against experimental data. The simulations showed that modifying the channel geometry particularly in Scenario 2 significantly improved hydrogen production rates by 6.8% to 29% compared to a uniform channel design with the effect becoming more pronounced at higher voltages. The performance enhancement was found to be primarily due to improved fluid velocity regulation which increased reactant residence time and enhanced mass transport rather than a significant thermal effect as temperature distribution remained largely uniform across the cell. Additionally the inclusion of a dedicated heat transfer channel was shown to improve current density and overall efficiency particularly at lower voltages. While a small increase in voltage raised internal cell pressure the variable-width designs especially those with widening channels led to greater hydrogen output albeit with a corresponding increase in system energy consumption due to higher pressure. Overall the findings demonstrate that strategically designed variable-width channels offer a promising approach to optimizing SOEC performance for industrial-scale hydrogen production.
Techno-Economic Analysis of Green Hydrogen Energy Production in West Africa
Nov 2025
Publication
The United Nations has set a global vision towards emissions reduction and green growth through the Sustainable Development Goals (SDGs). Towards the realisation of SDGS 7 9 and 13 we focus on green hydrogen production as a potential pathway to achievement. Green hydrogen produced via water electrolysis powered by renewable energy sources represents a pivotal solution towards climate change mitigation. Energy access in West Africa remains a challenge and dependency on fossil fuels persists. So green hydrogen offers an opportunity to harness abundant solar resources reduce carbon emissions and foster economic development. This study evaluates the techno-economic feasibility of green hydrogen production in five West African countries: Ghana Nigeria Mali Niger and Senegal. The analyses cover the solar energy potential hydrogen production capacities and economic viability using the Levelised Cost of Hydrogen (LCOH) and Net Present Value (NPV). Results indicate substantial annual hydrogen production potential with LCOH values competitive with global benchmarks amidst the EU’s Carbon Border Adjustment Mechanism (CBAM). Despite this potential several barriers exist including high initial capital costs policy and regulatory gaps limited technical capacity and water resource constraints. We recommend targeted strategies for strengthening policy frameworks fostering international partnerships enhancing regional infrastructure integration and investing in capacity-building initiatives. By addressing these barriers West Africa can be a key player in the global green hydrogen market.
Cost-Optimal Design of a Stand-Alone PV-Driven Hydrogen Production and Refueling Station Using Genetic Algorithms
Nov 2025
Publication
Driven by the growing availability of funding opportunities electrolyzers have become increasingly accessible unlocking significant potential for large-scale green hydrogen production. The goal of this investigation is to develop a techno-economic optimization framework for the design of a stand-alone photovoltaic (PV)-driven hydrogen production and refueling station with the explicit objective of minimizing the levelized cost of hydrogen (LCOH). The system integrates PV generation a proton-exchange-membrane electrolyzer battery energy storage compression and high-pressure hydrogen storage to meet the daily demand of a fleet of fuel cell buses. Results show that the optimal configuration achieves an LCOH of 11 €/kg when only fleet demand is considered whereas if surplus hydrogen sales are accounted for the LCOH reduces to 7.98 €/kg. The analysis highlights that more than 75% of total investment costs are attributable to PV and electrolysis underscoring the importance of capital incentives. Financial modeling indicates that a subsidy of about 58.4% of initial CAPEX is required to ensure a 10% internal rate of return under EU market conditions. The proposed methodology provides a reproducible decision-support tool for optimizing off-grid hydrogen refueling infrastructure and assessing policy instruments to accelerate hydrogen adoption in heavy-duty transport.
Modeling and Experimental Approach of Membrane and Diaphragm Sono-electrolytic Production of Hydrogen
Oct 2025
Publication
This study evaluates the performance of three anion-exchange membranes (FAS-50 AMX Fujifilm-AEM) and a diaphragm separator (Zirfon® UTP 500) in alkaline water sono-electrolysis using a 25 % KOH electrolyte at ambient temperature. Energy efficiency hydrogen production kinetics and membrane stability were assessed experimentally and through modeling. Among the tested separators Zirfon achieved the highest energy efficiency outperforming AEM AMX and FAS-50. Hydrogen production rates under silent conditions ranged from 2.55 µg/s (AEM) to 2.92 µg/s (FAS-50) while sonication (40 kHz 60 W) increased rates by 0.03–0.12 µg/s with the strongest relative effect observed for FAS-50 (≈4.0 % increase). By contrast Zirfon and AEM showed slight efficiency reductions (0.5–2 %) under ultrasound due to their higher structural resistance. Ion-exchange capacity tests confirmed significant degradation of polymeric membranes (IEC losses of 60–90 %) while Zirfon maintained stability in 25 % KOH. Modeling results showed that the diaphragm resistance was dominated by the ohmic losses (55–86 %) with ultrasound reducing bubble coverage and associated resistance only marginally (<0.02 V). Overall Zirfon demonstrated superior stability and efficiency for long-term operation while ultrasound primarily enhanced hydrogen evolution kinetics in mechanically weaker polymeric membranes.
Enhanced Performance of TiO2 Composites for Solar Cells and Photocatalytic Hydrogen Production
Oct 2025
Publication
Titanium dioxide (TiO2) is widely used in solar cells and photocatalysts given its excellent photoactivity low cost and high structural electronic and optical stability. Here a novel TiO2 composite was prepared by coating TiO2 inverse opal (IO) with TiO2 nanorods (NRs). With a porous three-dimensional network structure the composite exhibited higher light absorption; enhanced the separation of the electron–hole pairs; deepened the infiltration of the electrolyte; better transported and collected charge carriers; and greatly improved the power conversion efficiency (PCE) of the quantum-dot sensitized solar cells (QDSSCs) based on it while also boosting its own photocatalytic hydrogen generation efficiency. A very high PCE of 12.24% was achieved by QDSSCs utilizing CdS/CdSe sensitizer. Furthermore the TiO2 composite exhibited high photocatalytic activity with a H2 release rate of 1080.2 µ mol h−1 g −1 several times that of bare TiO2 IO or TiO2 NRs.
Transient Analysis of Solar Driven Hydrogen Generation System Using Industrial Waste Water
Oct 2025
Publication
This study investigates an integrated solar-powered system for wastewater treatment and hydrogen production combining solar PV a humidification–dehumidification (HDH) system solar thermal collectors and electrolysis. The objective is to evaluate the feasibility of utilizing industrial wastewater for both clean water production and green hydrogen generation. A transient analysis is conducted using TRNSYS and EES software modeling a system designed to process 4000 kg of wastewater daily. The results indicate that the HDH system produces 300 kg of clean water per hour while the electrolyzer generates approximately 66.5 kg of hydrogen per hour. The solar PV system operates under the weather conditions of Kohat Pakistan. This integrated approach demonstrates significant potential for sustainable wastewater treatment and renewable energy production offering a promising solution for industrial applications.
Durable Pt-Decorated NiFe-LDH for High-Current-Density Electrocatalytic Water Splitting Under Alkaline Conditions
Nov 2025
Publication
The development of durable and efficient catalysts capable of driving both hydrogen and oxygen evolution reactions is essential for advancing sustainable hydrogen production through overall water electrolysis. In this study we developed a corrosion-mediated approach where Ni ions originate from the self-corrosion of the nickel foam (NF) substrate to construct Pt-modified NiFe layered double hydroxide (Pt-NiFeOxHy@NiFe-LDH) under ambient conditions. The obtained catalyst exhibits a hierarchical architecture with abundant defect sites which favor the uniform distribution of Pt clusters and optimized electronic configuration. The Pt-NiFeOxHy@NiFe-LDH catalyst constructed through the interaction between Pt sites and defective NiFe layered double hydroxide (NiFe-LDH) demonstrates remarkable hydrogen evolution reaction (HER) activity delivering an overpotential as low as 29 mV at a current density of 10 mA·cm−2 and exhibiting a small tafel slope of 34.23 mV·dec−1 in 1 M KOH together with excellent oxygen evolution reaction (OER) performance requiring only 252 mV to reach 100 mA·cm−2 . Moreover the catalyst demonstrates outstanding activity and durability in alkaline seawater maintaining stable operation over long-term tests. The Pt-NiFeOxHy@NiFe-LDH electrode when integrated into a two-electrode system demonstrates operating voltages as low as 1.42 and 1.51 V for current densities of 10 and 100 mA·cm−2 respectively and retains outstanding stability under concentrated alkaline conditions (6 M KOH 70 ◦C). Overall this work establishes a scalable and economically viable pathway toward high-efficiency bifunctional electrocatalysts and deepens the understanding of Pt-LDH interfacial synergy in promoting water-splitting catalysis.
High‑Entropy Amorphous Catalysts for Water Electrolysis: A New Frontier
Sep 2025
Publication
High‐entropy amorphous catalysts (HEACs) integrate multielement synergy with structural disorder making them promising candidates for water splitting. Their distinctive features—including flexible coordination environments tunable electronic structures abundant unsaturated active sites and dynamic structural reassembly—collectively enhance electrochemical activity and durability under operating conditions. This review summarizes recent advances in HEACs for hydrogen evolution oxygen evolution and overall water splitting highlighting their disorder-driven advantages over crystalline counterparts. Catalytic performance benchmarks are presented and mechanistic insights are discussed focusing on how multimetallic synergy amorphization effect and in‐situ reconstruction cooperatively regulate reaction pathways. These insights provide guidance for the rational design of next‐generation amorphous high‐entropy electrocatalysts with improved efficiency and durability.
Decarbonised H2 Recovery and CO2 Capture Using a Cost-effective Membrane Plant: A Step Towards Energy Transition
Oct 2025
Publication
Separation of H2 from CO2 is crucial in industry since they are the products of water gas shift reaction. In addition the demand for pure H2 as well as the potential reuse of CO2 as reactant are increasing as a consequence of the transition from fossil fuels to decarbonization processes. In this scenario this work aims to propose a possible solution to get simultaneously pure H2 and CO2 meeting the world’s requirements in terms of reduction of CO2 emissions and transition to cleaner energy. A simulated plant combining Pd-based and SAPO-34 membrane modules is able to provide pure H2 with a final recovery higher than 97%. In addition the entire CO2 fed to SAPO-34 unit is recovered in the permeate stream with a concentration of 97.7%. A cost analysis shows that feed gas gives a higher contribution than compression heat exchange and membranes (e.g. 70 20 3 and 7% respectively). Net profit and net present value are positive within a specific feed gas price range (e.g. net profit up to 0.10 and 0.155 $/Nm3 depending on the labour cost set) showing that the process can be cost-effective and profitable. H2 purification cost ranges between 2.6 and 7.8 $/kg.
Hydrothermal Treatment of Kitchen Waste as a Strategy for Dark Fermentation Biohydrogen Production
Nov 2025
Publication
This study presents an innovative approach to the production of hydrogen from liquids following hydrothermal treatment of biowaste offering a potential solution for renewable energy generation and waste management. By combining biological and hydrothermal processes the efficiency of H2 production can be significantly improved contributing to a reduced carbon footprint and lower reliance on fossil fuels. The inoculum used was fermented sludge from a wastewater treatment plant which had been thermally pretreated to enhance microbial activity towards hydrogen production. Kitchen waste consisting mainly of plant-derived materials (vegetable matter) was used as a substrate. The process was conducted in batch 1-L bioreactors. The results showed that higher pretreatment temperatures (up to 180 ◦C) increased the hydrolysis of compounds and enhanced H2 production. However temperatures above 180 ◦C resulted in the formation of toxic compounds such as catechol and hydroquinone which inhibited H2 production. The highest hydrogen production was achieved at 180 ◦C (approximately 66 mL H2/gTVSKW). The standard Gompertz model was applied to describe the process kinetics and demonstrated an excellent fit with the experimental data (R2 = 0.99) confirming the model’s suitability for optimizing H2 production. This work highlights the potential of combining hydrothermal and biological processes to contribute to the development of sustainable energy systems within the circular economy.
Dual S-Scheme Heterojunction Nanocomposite-chrge Transport for Photocatalytic Green Energy Production and Environmental Implementations - Where to Go?
Sep 2025
Publication
Dating back to more than one century ago the photocatalysis process has demonstrated great promise in addressing environmental problems and the energy crisis. Nevertheless some single or binary composite materials cannot meet the requirements of large-scale implementations owing to their limited photocatalytic efficiencies. Since 2021 dual S-scheme heterojunctionbased nanocomposites have been undertaken as highly efficient photoactive materials for green energy production and environmental applications in order to overcome limitations faced in traditional photocatalysts. Herein state-of-the-art protocols designed for the synthesis of dual S-scheme heterojunctions are described. How the combined three semiconductors in dual S-scheme heterojunctions can benefit from one another to achieve high energy production and efficient oxidative removal of various pollutants is deeply explained. Photocatalytic reaction mechanisms by paying special attention to the creation of Fermi levels (Ef ) and charge carriers transfer between the three semiconductors in dual S-scheme heterojunctions are discussed. An entire section has been dedicated to some examples of preparation and applications of double S-scheme heterojunction-based nanocomposites for several photocatalytic applications such as soluble pollutants photodegradation bacteria disinfection artificial photosynthesis H2 generation H2O2 production CO2 reduction and ammonia synthesis. Lastly the current challenges of dual S-scheme heterojunctions are presented and future research directions are presented. To sum up dual S-scheme heterojunction nanocomposites are promising photocatalytic materials in the pursuit of sustainable energy production and environmental remediation. In the future dual S-scheme heterojunctions are highly recommended for photoreactors engineering instead of single or binary photocatalysts to drive forward photocatalysis processes for practical green energy production and environmental protection.
High-resolution AI-based Forecasting and Techno-economic Assessment of Green Hydrogen Production from a Hybrid PV/Wind System at the Regional Scale
Oct 2025
Publication
This study presents a comprehensive framework that integrates high-resolution energy forecasting and technoeconomic modeling to assess green hydrogen production potential in Flanders Belgium. Using 15-min interval data from the Elia Group four deep learning models (LSTM BiLSTM GRU and CNN-LSTM) were developed to forecast regional photovoltaic (PV) and onshore wind energy generation. These forecasts informed the estimation of hydrogen yields and the evaluation of the levelized cost of hydrogen (LCOH) under different configurations. Results show that wind-powered hydrogen production achieves the lowest LCOH (6.63 €/kg) due to higher annual operating hours. Among electrolysis technologies alkaline electrolysis (AEL) offers the lowest cost while proton exchange membrane (PEMEL) provides greater flexibility for intermittent power sources. The hybrid PVwind system demonstrated seasonal complementarity increasing annual hydrogen yield and improving production stability. The proposed framework supports regional planning and highlights strategic investment opportunities for cost-effective green hydrogen deployment.
Machine Learning-aided Multi-objective Optimisation of Tesla Valve-based Membraneless Electrolyzer Efficiency
Oct 2025
Publication
Hydrogen (H2) is an attractive fuel due to its high specific energy and zero direct carbon emissions. Membraneless electrolyzers (MEs) offer a lower-cost route to hydrogen production but their operation is complex and current efficiencies are modest. Although multi-objective optimization is widely used its heavy compute demands and weak integration with modern learning methods limit scalability and adaptability. We introduce a practical ML-guided way to design Tesla-valve (TV) membraneless electrolyzers by building diodicity (Di) directly into the geometry search. Using multilayer-perceptron surrogates trained on 150 high-fidelity simulations (R2 > 0.95) we link four design knobs (We Wc Wd Di) to pressure drop (Δp) and ohmic loss. A Genetic Algorithm (GA)-based multi-objective search over realistic ranges delivers 60 Pareto-optimal designs that make the Δp–ohmic trade-off explicit; TOPSIS then selects a balanced geometry (We = 1.708 mm Wc = 0.200 mm Wd = 1.012 mm Di = 1.618) with ohmic loss 4.069 V and Δp 6.169 Pa. The approach delivers faster lower-cost design maps and is supported by experimental checks pointing to an actionable route for scalable interpretable optimization of sustainable hydrogen production.
Development of a High-performance Electrolyzer for Efficient Hydrogen Production via Electrode Modification with a Commercial Catalyst
Oct 2025
Publication
A potential strategy to promote the use of clean energy is the development of catalyst-coated cathodic electrodes that are economical effective and sustainable to enhance the generation of hydrogen (H2) through the electrolysis process. This study investigates the unique design and use of stainless steel (SS) coated with a CuNiZnFeOx catalyst as both anode and cathode electrodes in the alkaline electrolysis process. The electrode exhibits an improved electrochemical behavior achieving a current density of 92 mA/cm2 at an applied voltage of 2.5 V with a surface area of 36 cm2 in 1 M KOH electrolyte at 25 ◦C. Furthermore the H2 production is systematically investigated by varying electrolyte concentration applied voltage and temperature. The results demonstrate that H2 production increases significantly with enhanced electrolyte concentration (3102 mL at 2 M KOH) applied voltage (3468 mL at 3.0 V) and temperature (3202 mL at 60 ◦C) over a 300 min electrolysis time. However optimal operating conditions are determined to be 1 M KOH 2.5 V and 25 ◦C balancing performance and energy efficiency. The improved performance is primarily attributed to enhanced ionic conductivity reduced internal resistance and the synergistic catalytic activity of the Cu-integrated NiZnFeOx coating.
Optimizing Green Hydrogen Cost with PV Energy and Storage
Oct 2025
Publication
This work develops a replicable method for designing the optimal renewable hydrogen production facility applicable to any site and based on technical parameters and actual equipment costs. The solution is based on the integration of photovoltaic (PV) energy with lithium-ion battery storage systems which maximizes electrolyzer operating hours and significantly reduces the Levelized Cost of Hydrogen (LCOH). This study shows that increasing the inclination of the photovoltaic modules reduces the need for storage optimizing operation and extending the electrolyzer’s annual operating hours. In the Seville case study with current costs and efficiencies a minimum LCOH of €4.43/kg was achieved a value well below market benchmarks opening the door to a potentially competitive industrial business. The analysis confirms that electrolyzer efficiency—particularly specific power consumption—is the most important factor in reducing costs while technological progress in photovoltaics storage and equipment promises further reductions in the coming years. Overall the proposed methodology offers a practical and scalable tool to accelerate the economic viability of green hydrogen in a variety of contexts.
Integrated Modeling of Steam Methane Reforming and Carbon Capture for Blue Hydrogen Production
Nov 2025
Publication
The increasing global demand for clean energy highlights hydrogen as a strategic energy carrier due to its high energy density and carbon-free utilization. Currently steam methane reforming (SMR) is the most widely applied method for hydrogen production; however its high CO2 emissions undermine the environmental benefits of hydrogen. Blue hydrogen production integrates carbon capture and storage (CCS) technologies to overcome this drawback in the SMR process significantly reducing greenhouse gas emissions. This study integrated a MATLAB-R2025b-based plug flow reactor (PFR) model for SMR kinetics with an Aspen HYSYS-based CCS system. The effects of reformer temperature (600–1000 ◦C) and steam-to-carbon (S/C) ratio (1–5) on hydrogen yield and CO2 emission intensity were investigated. Results show that hydrogen production increases with temperature reaching maximum conversion at 850–1000 ◦C while the optimum performance is achieved at S/C ratios of 2.5–3.0 balancing high hydrogen yield and minimized methane slip. Conventional SMR generates 9–12 kgCO2/kgH2 emissions whereas SMR + CCS reduces this to 2–3 kgCO2/kgH2 achieving more than 75% reduction. The findings demonstrate that SMR + CCS integration effectively mitigates emissions and provides a sustainable bridging technology for blue hydrogen production supporting the transition toward lowcarbon energy systems.
Production Technology of Blue Hydrogen with Low CO2 Emissions
Oct 2025
Publication
Blue hydrogen technology generated from natural gas through carbon capture and storage (CCS) technology is a promising solution to mitigate greenhouse gas emissions and meet the growing demand for clean energy. To improve the sustainability of blue hydrogen it is crucial to explore alternative feedstocks production methods and improve the efficiency and economics of carbon capture storage and utilization strategies. Two established technologies for hydrogen synthesis are Steam Methane Reforming (SMR) and Autothermal Reforming (ATR). The choice between SMR and ATR depends on project specifics including the infrastructure energy availability environmental goals and economic considerations. ATR-based facilities typically generate hydrogen at a lower cost than SMR-based facilities except in cases where electricity prices are elevated or the facility has reduced capacity. Both SMR and ATR are methods used for hydrogen production from methane but ATR offers an advantage in minimizing CO2 emissions per unit of hydrogen generated due to its enhanced energy efficiency and unique process characteristics. ATR provides enhanced utility and flexibility regarding energy sources due to its autothermal characteristics potentially facilitating integration with renewable energy sources. However SMR is easier to run but may lack flexibility compared to ATR necessitating meticulous management. Capital expenditures for SMR and ATR hydrogen reactors are similar at the lower end of the capacity spectrum but when plant capacity exceeds this threshold the capital costs of SMR-based hydrogen production surpass those of ATR-based facilities. The less profitably scaled-up SMR relative to the ATR reactor contributes to the cost disparity. Additionally individual train capacity constraints for SMR CO2 removal units and PSA units increase the expenses of the SMR-based hydrogen facility significantly.
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