Production & Supply Chain
Scoring and Ranking Methods for Evaluating the Techno-Economic Competitiveness of Hydrogen Production Technologies
Jun 2025
Publication
This research evaluates four hydrogen (H2) production technologies via water electrolysis (WE): alkaline water electrolysis (AWE) proton exchange membrane electrolysis (PEME) anion exchange membrane electrolysis (AEME) and solid oxide electrolysis (SOE). Two scoring and ranking methods the MACBETH method and the Pugh decision matrix are utilized for this evaluation. The scoring process employs nine decision criteria: capital expenditure (CAPEX) operating expenditure (OPEX) operating efficiency (SOE) startup time (SuT) environmental impact (EI) technology readiness level (TRL) maintenance requirements (MRs) supply chain challenges (SCCs) and levelized cost of H2 (LCOH). The MACBETH method involves pairwise technology comparisons for each decision criterion using seven qualitative judgment categories which are converted into quantitative scores via M-MACBETH software (Version 3.2.0). The Pugh decision matrix benchmarks WE technologies using a baseline technology—SMR with CCS—and a three-point scoring scale (0 for the baseline +1 for better −1 for worse). Results from both methods indicate AWE as the leading H2 production technology which is followed by AEME PEME and SOE. AWE excels due to its lowest CAPEX and OPEX highest TRL and optimal operational efficiency (at ≈7 bars of pressure) which minimizes LCOH. AEME demonstrates balanced performance across the criteria. While PEME shows advantages in some areas it requires improvements in others. SOE has the most areas needing enhancement. These insights can direct future R&D efforts toward the most promising H2 production technologies to achieve the net-zero goal.
Presumptions for the Integration of Green Hydrogen and Biomethane Production in Wastewater Treatment Plants
Jul 2025
Publication
Achieving climate neutrality goals is inseparable from the sustainable development of modern cities. Municipal wastewater treatment plants (WWTP) are among the starting points when moving cities to Net-zero Greenhouse Gas (GHG) emissions and climate neutrality. This study focuses on the analysis of the integration of green hydrogen (H2) and biomethane technologies in WWTPs and on the impact of this integration on WWTPs’ energy neutrality. This study treats WWTP as an integrated energy system with certain inputs and outputs. Currently such systems in most cases have a significantly negative energy balance and in addition fossil fuel energy sources are used. Key findings highlight that the integration of green hydrogen production in WWTPs and the efficient utilization of electrolysis by-products can make such energy systems neutral or even positive. This study provides an analysis of the main technical presumptions for the successful integration of green hydrogen and biomethane production processes in WWTP. Furthermore a case study of a real wastewater treatment plant is presented.
AI Predictive Simulation for Low-Cost Hydrogen Production
Jul 2025
Publication
Green hydrogen produced through renewable-powered electrolysis has the potential to revolutionize energy systems; however its widespread adoption hinges on achieving competitive production costs. A critical challenge lies in optimising the hydrogen production process to address solar and wind energy’s high variability and intermittency. This paper explores the role of artificial intelligence (AI) in reducing and streamlining hydrogen production costs by enabling advanced process optimisation focusing on electricity cost management and system-wide efficiency improvements.
Model Predictive Supervisory Control for Multi-stack Electrolyzers Using Multilinear Modeling
Oct 2025
Publication
Offshore green hydrogen production lacks of flexible and scalable supervisory control approaches for multistack electrolyzers raising the need for extendable and high-performance solutions. This work presents a two-stage nonlinear model predictive control (MPC) method. First an MPC stage generates a discrete on-off electrolyzer switching decision through algebraic relaxation of a Boolean signal. The second MPC stage receives the stack’s on-off operation decision and optimizes hydrogen production. This is a novel approach for solving a mixed-integer nonlinear program (MINP) in multi-stack electrolyzer control applications. In order to realize the MPC the advantages of the implicit multilinear time-invariant (iMTI) model class are exploited for the first time for proton exchange membrane (PEM) electrolyzer models. A modular flexible and scalable framework in MATLAB is built. The tensor based iMTI model in canonical polyadic (CP) decomposed form breaks the curse of dimensionality and enables effective model composition for electrolyzers. Simulation results show an appropriate multilinear model representation of the nonlinear system dynamics in the operation region. A sensitivity analysis identified three numeric factors as decisive for the effectiveness of the MPC approach. The classic rule-based control methods Daisy Chain and Equal serve as reference. Over two weeks and under a wind power input profile the MPC strategy performs better regarding the objective of hydrogen production compared to the Daisy Chain (4.60 %) and Equal (0.43 %) power distribution controllers. As a side effect of the optimization a convergence of the degradation states is observed.
Accurate Prediction of Green Hydrogen Production Based on Solid Oxide Electrolysis Cell via Soft Computing Algorithms
Oct 2025
Publication
The solid oxide electrolysis cell (SOEC) presents significant potential for transforming renewable energy into green hydrogen. Traditional modeling approaches however are constrained by their applicability to specific SOEC systems. This study aims to develop robust data-driven models that accurately capture the complex relationships between input and output parameters within the hydrogen production process. To achieve this advanced machine learning techniques were utilized including Random Forests (RFs) Convolutional Neural Networks (CNNs) Linear Regression Artificial Neural Networks (ANNs) Elastic Net Ridge and Lasso Regressions Decision Trees (DTs) Support Vector Machines (SVMs) k-Nearest Neighbors (KNN) Gradient Boosting Machines (GBMs) Extreme Gradient Boosting (XGBoost) Light Gradient Boosting Machines (LightGBM) CatBoost and Gaussian Process. These models were trained and validated using a dataset consisting of 351 data points with performance evaluated through various metrics and visual methods. The dataset’s suitability for model training was confirmed using the Monte Carlo outlier detection method. Results indicate that within the dataset and evaluation framework of this study ANNs CNNs Gradient Boosting and XGBoost models have demonstrated high accuracy and reliability achieving the largest R-squared scores and the smallest error metrics. Sensitivity analysis reveals that all input parameters significantly influence hydrogen production magnitude. Game-theoretic SHAP values underline current and cathode electrode conditions as critical factors. This research determines the performance of machine learning models particularly ANNs CNNs Gradient Boosting and XGBoost in predicting hydrogen production through the SOEC process. The outcomes of this paper can provide a certain reference for related research and applications in the hydrogen production field.
Magnetically Induced Convection Enhances Water Electrolysis in Microgravity
Aug 2025
Publication
Since the early days of space exploration the efficient production of oxygen and hydrogen via water electrolysis has been a central task for regenerative life-support systems. Water electrolysers are however challenged by the near-absence of buoyancy in microgravity resulting in hindered gas bubble detachment from electrodes and diminished electrolysis efficiencies. Here we show that a commercial neodymium magnet enhances water electrolysis with current density improvements of up to 240% in microgravity by exploiting the magnetic polarization of the electrolyte and the magnetohydrodynamic force. We demonstrate that these interactions enhance gas bubble detachment and displacement through magnetic convection and achieve passive gas–liquid phase separation. Two model magnetoelectrolytic cells a proton-exchange membrane electrolyser and a magnetohydrodynamic drive were designed to leverage these forces and produce oxygen and hydrogen at near-terrestrial efficiencies in microgravity. Overall this work highlights achievable lightweight low-maintenance and energy-efficient phase separation and electrolyser technologies to support future human spaceflight architectures.
Innovative Anode Porous Transport Layers for Polymer Elecrolyte Membrane Water Electrolyzers
Sep 2025
Publication
Polymer Electrolyte Membrane Water Electrolyzers (PEMWEs) attract significant attention for producing green hydrogen. However their widespread application remains hindered by high production costs. This study develops cost-effective and high-performance 3D-printed gyroid structures as porous transport layers (PTLs) for the anode of PEMWEs. Experimental results demonstrate that the PTL’s structure critically influences its performance which depends on its design. Among the four gyroid structures evaluated the G10 electrode exhibited the best performance in electrochemical tests conducted under various ex-situ conditions simulating real-world operation. Furthermore the 3D-printed G10 electrode undergoes Pt coating and is compared with commercially available PTLs. The commercial PTL (C3) shows a current density of 138.488 mA cm−2 whereas the G10-1.00 μm Pt electrode achieves a significantly higher current density of 584.692 mA cm−2 at 1.9V. The gyroid structure is a promising avenue for developing high-energy and low-cost PEMWEs and other related technologies.
An Innovative Industrial Complex for Sustainable Hydrocarbon Production with Near-Zero Emissions
Oct 2025
Publication
The Allam power cycle is a groundbreaking elevated-pressure power generation unit that utilizes oxygen and fossil fuels to generate low-cost electricity while capturing carbon dioxide (CO2) inherently. In this project we utilize the CO2 generated from the Allam cycle as feedstock for a newly envisioned industrial complex dedicated to producing renewable hydrocarbons. The industrial complex (FAAR) comprises four subsystems: (i) a Fischer–Tropsch synthesis plant (FTSP) (ii) an alkaline water electrolysis plant (AWEP) (iii) an Allam power cycle plant (APCP) and (iv) a reverse water-gas shift plant (RWGSP). Through effective material heat and power integration the FAAR complex utilizing 57.1% renewable energy for its electricity needs can poly-generate sustainable hydrocarbons (C1–C30) pure hydrogen and oxygen with near-zero emissions from natural gas and water. Economic analysis indicates strong financial performance of the development with an internal rate of return (IRR) of 18% a discounted payback period of 8.7 years and a profitability index of 2.39. The complex has been validated through rigorous modeling and simulation using Aspen Plus version 14 including sensitivity analysis.
Hydrogen Production from Organic Waste in Bangladesh: Impacts of Temperature and Steam Flow on Syngas Composition
Sep 2025
Publication
More than 0.13 million tons of waste are generated annually making conventional methods of treatment including anaerobic digestion incineration and landfilling insufficient.Thus a long-term solution is required.Therefore this study used a process modeling through Aspen Plus V11 to investigate how variations in waste types and gasification temperatures affect the ability to producing hydrogen. Additionally the use of a Steam Rankin Cycle has been used to optimize the economy through generation. To explore the potential of various type of waste proximate and Ultimate analysis have been done experimentally in lab and some of them (Rice Husk Rice Straw Sugar-cane Baggage Cow-dung etc.) have been taken from references. This study presents validation against experimental data using dolomite and olivine as bed materials. The model showed strong agreement with experimental results accurately predicting hydrogen concentration CO and CO2. A detailed thermodynamic analysis revealed an increase in hydrogen purity from 50.9 % in raw syngas to 100 % after pressure swing adsorption (PSA) accompanied by an exergy reduction from 48.99 MW to 34.68 MW due to separation and thermal losses. Parametric studies demonstrated that gasification temperatures between 750 °C and 800 °C and steam-to-biomass ratios of 0.4–0.5 optimize hydrogen production. Feedstock type significantly influenced performance; rice straw rice husk jute stick and cow dung exhibited higher hydrogen yields compared to food waste. The model predicted a hydrogen production rate of approximately 1020 kg/h per ton of dry feedstock with an overall system efficiency of 48.5 % based on exergy analysis.
Fault Tree and Importance Measure Analysis of a PEM Electrolyzer for Hydrogen Production at a Nuclear Power Plant
Sep 2025
Publication
Pilot projects to generate hydrogen using proton exchange membrane (PEM) electrolyzers coupled to nuclear power plants (NPPs) began in 2022 with further developments anticipated over the next decade. However the co-location of electrolyzers with NPPs requires an understanding and mitigation of potential risks. In this work we identify and rank failure contributors for a 1 MW PEM electrolysis system. We used fault trees to define the component failure logic parameterized them with generic data and calculated failure frequencies and minimal cut sets for four top events: hydrogen release oxygen release nitrogen release and hydrogen and oxygen mixing. We use risk reduction worth importance measures to determine the most risk-significant components. The results provide insight into primary risk drivers in PEM electrolyzer systems and provide the foundational steps towards quantitative risk assessment of large-scale PEM electrolyzers at NPPs. The results include recommended riskmitigation actions include recommendations about design maintenance and monitoring strategies.
Emerging Application of Solid Oxide Electrolysis Cells in Hydrogen Production: A Comprehensive Analytic Review and Life Cycle Assessment
Aug 2025
Publication
This paper provides a comprehensive analytical review and life cycle assessment (LCA) of solid oxide electrolysis cells (SOECs) for hydrogen production. As the global energy landscape shifts toward cleaner and more sustainable solutions SOECs offer a promising pathway for hydrogen generation by utilizing water as a feedstock. Despite their potential challenges in efficiency economic viability and technological barriers remain. This review explores the evolution of SOECs highlighting key advancements and innovations over time and examines their operational principles efficiency factors and classification by operational temperature range. It further addresses critical technological challenges and potential breakthroughs alongside an indepth assessment of economic feasibility covering production cost comparisons hydrogen storage capacity and plant viability and an LCA evaluating environmental impacts and sustainability. The findings underscore SOECs’ progress and their crucial role in advancing hydrogen production while pointing to the need for further research to overcome existing limitations and enhance commercial viability.
High-performance Hydrogen Energy Generation via Innovative Metal-organic Framework Catalysts and Integrated System Design
Aug 2025
Publication
Hydrogen energy generation faces challenges in efficiency and economic viability due to reliance on scarce noble metal catalysts. This study aimed to develop platinum-doped nickel-iron metal-organic framework (Pt-NiFe-MOF) catalysts with controlled metal ratios and pore architecture for enhanced water electrolysis. The NiFe-MOF framework was first synthesized via a solvothermal method which was then subjected to post-synthetic modification to introduce controlled platinum loadings (0.5- 2.0 wt%). The pore structure was tuned using a mixed-linker strategy (H₄DOBDC ratios 1:0 to 1:1). Catalysts were characterized using PXRD HRTEM BET XPS and ICP-OES techniques. Electrochemical performance was analyzed in 1.0 M KOH. A custom-designed integrated electrolysis system at 75 °C assessed practical performance. The Pt-NiFe-MOF-1.0 catalyst with H₄DOBDC ratio of 1:0.5 achieved remarkable effectiveness requiring overpotentials of only 253 mV for OER and 58 mV for HER when operating at 10 mA/cm². This catalyst featured an optimal pore diameter of 4.2 nm and surface area of 1325 m²/g. DFT calculations revealed platinum incorporation created synergistic effects by modifying hydrogen binding energies. Furthermore DFT calculations and XPS analysis revealed that the role of platinum in the OER is not direct catalysis but rather a powerful electronic modulation effect; Pt dopants withdraw electron density from adjacent Ni and Fe centers promoting the formation of higher-valent Ni³⁺/Fe³⁺ species that are intrinsically more active and lowering the energy barrier for the rate-determining O-O bond formation step. The integrated system achieved 1.62V at 100 mA/cm² with 75.8% energy efficiency maintaining stability for 200 h with 15–30 times lower precious metal loading than conventional systems. Strategic incorporation of low platinum concentrations within optimized NiFe-MOF structures significantly enhances water electrolysis performance while maintaining economic viability advancing development of industrial-scale hydrogen generation systems.
Analysis of Floating Photovoltaics Potential in Hong Kong: Green Hydrogen Production and Energy Application
Oct 2025
Publication
Solar energy is now one of the most affordable and widely available energy sources. However densely populated cities like Hong Kong often lack the land needed for large-scale solar deployment. Floating solar photovoltaics (FPV) offer a promising alternative by using water surfaces such as reservoirs while providing additional benefits over ground-mounted systems including competition with urban development such as housing and infrastructure. The advantage of this system has been explored in parts of the world while Hong Kong is yet to fully exploit it despite the presence of pilot projects. This study uses PVsyst to evaluate FPV deployment across Hong Kong’s reservoirs estimating over 7 TWh of potential annual electricity generation. Even with 60 % surface coverage generation reaches 4.6 TWh/year with LCOE between $0.036–$0.038/kWh. In parallel green hydrogen is explored as a clean energy storage solution and alternative transport fuel. By using electricity from FPV systems hydrogen production via electrolysis is assessed through HOMER Pro. Results show annual hydrogen output ranging from 180502 kg to 36310221 kg depending on reservoir size with associated LCOH between $10.2/kg and $19.4/kg. The hydrogen produced could support ongoing hydrogen bus projects and future expansion to other vehicle types as Hong Kong moves toward a hydrogen-based transport system. After coupling the FPV systems with hydrogen-generation units the new LCOEs are found to be between $0.029–4.01/ kWh. Thus suggesting the feasibility of a hydrogen-integrated FPV system in Hong Kong.
Metal–Organic Frameworks for Seawater Electrolysis and Hydrogen Production: A Review
Oct 2025
Publication
Electrolysis utilizing renewable electricity is an environmentally friendly non-polluting and sustainable method of hydrogen production. Seawater is the most desirable and inexpensive electrolyte for this process to achieve commercial acceptance compared to competing hydrogen production technologies. We reviewed metal–organic frameworks as possible electrocatalysts for hydrogen production by seawater electrolysis. Metal–organic frameworks are interesting for seawater electrolysis due to their large surface area tunable permeability and ease of functional processing which makes them extremely suitable for obtaining modifiable electrode structures. Here we discussed the development of metal– organic framework-based electrocatalysts as multifunctional materials with applications for alkaline PEM and direct seawater electrolysis for hydrogen production. Their advantages and disadvantages were examined in search of a pathway to a successful and sustainable technology for developing electrode materials to produce hydrogen from seawater.
Synergistic Coupling of Waste Heat and Power to Gas via PEM Electrolysis for District Heating Applications
Sep 2025
Publication
This work explores the integration of Proton Exchange Membrane (PEM) electrolysis waste heat with district heating networks (DHN) aiming to enhance the overall energy efficiency and economic viability of hydrogen production systems. PEM electrolysers generate substantial amounts of low-temperature waste heat during operation which is often dissipated and left unutilised. By recovering such thermal energy and selling it to district heating systems a synergistic energy pathway that supports both green hydrogen production and sustainable urban heating can be achieved. The study investigates how the electrolyser’s operating temperature ranging between 50 and 80 ◦C influences both hydrogen production and thermal energy availability exploring trade-offs between electrical efficiency and heat recovery potential. Furthermore the study evaluates the compatibility of the recovered heat with common heat emission systems such as radiators fan coils and radiant floors. Results indicate that valorising waste heat can enhance the overall system performance by reducing the electrolyser’s specific energy consumption and its levelized cost of hydrogen (LCOH) while supplying carbon-free thermal energy for the end users. This integrated approach contributes to the broader goal of sector coupling offering a pathway toward more resilient flexible and resource-efficient energy systems.
Working with Uncertainty in Life cycle Costing: New Approach Applied to the Case Study on Proton Exchange Membrane Water Electrolysis
Jul 2025
Publication
Hydrogen recognized as a critical energy source requires green production methods such as proton exchange membrane water electrolysis (PEMWE) powered by renewable energy. This is a key step toward sustainable development with economic analysis playing an essential role. Life cycle costing (LCC) is commonly used to evaluate economic feasibility but traditional LCC analyses often provide a single cost outcome which limits their applicability across diverse regional contexts. To address these challenges a Python-based tool is developed in this paper integrating a bottom-up approach with net present value (NPV) calculations and Monte Carlo simulations. The tool allows users to manage uncertainty by intervening in the input data producing a range of outcomes rather than a single deterministic result thus offering greater flexibility in decision-making. Applying the tool to a 5 MW PEMWE plant in Germany the total cost of ownership (TCO) is estimated to range between €52 million and €82.5 million with hydrogen production costs between 5.5 and 11.4 €/kg H2. There is a 95% probability that actual costs fall within this range. Sensitivity analysis reveals that energy prices are the key contributors to LCC accounting for 95% of the variance in LCC while iridium membrane materials and power electronics contribute to 75% of the variation in construction-phase costs. These findings underscore the importance of renewable energy integration and circular economy strategies in reducing LCC.
Interactions Between Gas Hydrate and Hydrogen in Nature: Laboratory Evidence of Hydrogen Incorporation
Oct 2025
Publication
Natural hydrogen is generated via serpentinization radiolysis and organic metagenesis in geological settings. After expulsion from the source and along its upward migration path the free gas may encounter hydratebearing sediments. To simulate this natural scenario CH4 hydrate and CH4 + C3H8 hydrate were synthesized at 5.0 MPa and exposed to a hydrogen-containing gas mixture. In-situ Raman spectroscopic measurements demonstrated the incorporation of H2 molecules into the hydrate phase even at a partial pressure of 0.5 MPa. Exsitu Raman spectroscopic characterization of hydrates formed from a CH4 + H2 gas mixture at 5.0 MPa confirmed the H2 inclusion within the large cavities of structure I. The results show that the interactions between H2 and the natural gas hydrate phase range from the incorporation of H2 molecules into the hydrate phase to the rapid dissociation of the gas hydrate depending on thermodynamic conditions and H2 concentration in the coexisting gas phase.
Hydrogen Production from Pyrolysis of Biomass Components
Sep 2025
Publication
Hydrogen energy is key for the global green energy transition and biomass thermochemical has become an important option for green hydrogen production due to its carbon neutrality advantage. Pyrolysis is the initial step of thermochemical technologies. A systematic analysis of the mechanism of H2 production from biomass pyrolysis is significant for the subsequent optimal design of efficient biomass thermochemical H2 production technologies. Biomass is mainly composed of cellulose hemicellulose and lignin and differences in their physicochemical properties and structures directly affect the pyrolysis hydrogen production process. In this study thermogravimetry-mass spectrometry-Fourier transform infrared spectroscopy (TG-MS-FTIR) was employed and fixed-bed pyrolysis experiments were conducted to systematically investigate the pyrolysis of biomass component with focusing on hydrogen production. According to the results of TG-MS-FTIR experiments hemicellulose produced hydrogen through the breaking of C-H bonds in short chains and acetyl groups as well as secondary cracking of volatiles and condensation of aromatic rings at high temperatures. Cellulose produced hydrogen through the breaking of C-H bonds in volatiles generated from sugar ring cleavage along with char gasification and condensation of aromatic rings at high temperatures. Lignin produced hydrogen through ether bond cleavage breaking of methoxy groups as well as cleavage of phenylpropane side chains and condensation of aromatic rings at high temperatures. Results from fixed-bed pyrolysis experiments further showed that hemicellulose exhibited the strongest hydrogen production capacity with the maximum H2 production efficiency of 6.09 mmol/g the maximum H2 selectivity of 17.79% and the maximum H2 effectiveness of 59% at 800°C.
Offshore Renewable Hydrogen Potential in Australia: A Techno-economic and Legal Review
Jun 2025
Publication
Hydrogen is increasingly recognised as a potential critical energy carrier in decarbonising global energy systems. Australia is positioning itself as a potential leader in offshore renewable hydrogen production by leveraging existing liquified natural gas export infrastructure activating its abundant renewable energy resources and harnessing its extensive offshore marine acreage. Despite this there is limited research on the techno-economic and regulatory pathways for offshore hydrogen development in Australia as an enabler of its net zero manufacturing and export ambitions. This study offers a multidisciplinary assessment and review of Australia’s offshore renewable hydrogen potential. It aims to examine the technical legal and economic challenges and opportunities to enable and adapt the existing Australian offshore electricity regulatory regime and enable policy to facilitate future renewable offshore hydrogen licensing and production. Overall the findings provide practical insights for advancing Australia’s offshore hydrogen transition including technical innovations needed to scale offshore wind development. The study demonstrates how a specific offshore hydrogen licensing framework could reduce legal uncertainties to create economies of scale and reduce hydrogen investment risk to unlock the full potential of developing offshore renewable hydrogen projects.
Low to Near-zero CO2 Production of Hydrogen from Fossil Fuels: Critical Role of Microwave-initiated Catalysis
Apr 2025
Publication
Presently there is no single clear route for the near-term production of the huge volumes of CO2-free hydrogen necessary for the global transition to any type of hydrogen economy. All conventional routes to produce hydrogen from hydrocarbon fossil fuels (notably natural gas) involve the production—and hence the emission—of CO2 most notably in the steam methane reforming (SMR) process. Our recent studies have highlighted another route; namely the critical role played by the microwave-initiated catalytic pyrolysis decomposition or deconstruction of fossil hydrocarbon fuels to produce hydrogen with low to near-zero CO2 emissions together with high-value solid nanoscale carbonaceous materials. These innovations have been applied firstly to wax then methane crude oil diesel then biomass and most recently Saudi Arabian light crude oil as well as plastics waste. Microwave catalysis has therefore now emerged as a highly effective route for the rapid and effective production of hydrogen and high-value carbon nanomaterials co-products in many cases accompanied by low to near-zero CO2 emissions. Underpinning all of these advances has been the important concept from solid state physics of the so-called Size-Induced-Metal-Insulator Transition (SIMIT) in mesoscale or mesoscopic particles of catalysts. The mesoscale refers to a range of physical scale in-between the micro- and the macro-scale of matter (Huang W Li J and Edwards PP 2018 Mesoscience: exploring the common principle at mesoscale Natl. Sci. Rev. 5 321-326 (doi:10.1093/nsr/nwx083)). We highlight here that the actual physical size of the mesoscopic catalyst particles located close to the SIMIT is the primary cause of their enhanced microwave absorption and rapid heating of particles to initiate the catalytic—and highly selective—breaking of carbon–hydrogen bonds in fossil hydrocarbons and plastics to produce clean hydrogen and nanoscale carbonaceous materials. Importantly also since the surrounding ‘bath’ of hydrocarbons is cooler than the microwave-heated catalytic particles themselves the produced neutral hydrogen molecule can quickly diffuse from the active sites. This important feature of microwave heating thereby minimizes undesirable side reactions a common feature of conventional thermal heating in heterogeneous catalysis. The low to near-zero CO2 production of hydrogen via microwave-initiated decomposition or cracking of abundant hydrocarbon fossil fuels may be an interim viable alternative to the conventional widely-used SMR that a highly efficient process but unfortunately associated with the emission of vast quantities of CO2. Microwave-initiated catalytic decomposition also opens up the intriguing possibility of using distributed methane in the current natural gas structure to produce hydrogen and high-value solid carbon at either central or distributed sites. That approach will lessen many of the safety and environmental concerns associated with transporting hydrogen using the existing natural gas infrastructure. When completely optimized microwave-initiated catalytic decomposition of methane (and indeed all hydrocarbon sources) will produce no aerial carbon (CO2) and only solid carbon as a co-product. Furthermore reaction conditions can surely be optimized to target the production of high-quality synthetic graphite as the major carbon-product; that material of considerable importance as the anode material for lithium-ion batteries. Even without aiming for such products derived from the solid carbon co-product it is of course far easier to capture solid carbon rather than capturing gaseous CO2 at either the central or distributed sites. Through microwave-initiated catalytic pyrolysis this decarbonization of fossil fuels can now become the potent source of sustainable hydrogen and high-value carbon nanomaterials.
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