Applications & Pathways
How Heat-Powered Heat Pumps Could Reduce the Need for Grid-Scale Energy Storage
Nov 2025
Publication
This paper explores how the deployment of “High-Performance Heat-Powered Heat Pumps” (HP3 s)—a novel heating technology—could help meet the domestic heating demand in the UK and reduce how much grid-scale energy storage is needed in comparison to a scenario where electrical heat pumps fully supply the heating demand. HP3 systems can produce electricity which can partially alleviate the stress caused by electrical heat pumps. A parametric analysis focusing on two variables the penetration of HP3 systems (H) and the amount of electricity exported (Ɛ) is presented. For every combination of H and Ɛ the electricity system is optimized to minimize the cost of electricity. Three parameters define the electricity system: the generation mix the energy storage mix and the amount of over-generation. The cost of electricity is at its highest when electrical heat pumps supply all demand. This reduces as the penetration of HP3 systems increases due to a reduction in the need for energy storage. When HP3 systems supply 100% of the heating demand the total cost of electricity and the storage capacity needed are 6% and 50% lower respectively compared to a scenario where electrical heat pumps are in 100% of residences.
Hybrid Wind–Solar–Fuel Cell–Battery Power System with PI Control for Low-Emission Marine Vessels in Saudi Arabia
Nov 2025
Publication
The maritime industry is under increasing pressure to reduce greenhouse gas emissions especially in countries such as Saudi Arabia that are actively working to transition to cleaner energy. In this paper a new hybrid shipboard power system which incorporates wind turbines solar photovoltaic (PV) panels proton-exchange membrane fuel cells (PEMFCs) and a battery energy storage system (BESS) together for propulsion and hotel load services is proposed. A multi-loop Energy Management System (EMS) based on proportional–integral control (PI) is developed to coordinate the interconnections of the power sources in real time. In contrast to the widely reported model predictive or artificial intelligence optimization schemes the PI-derived EMS achieves similar power stability and hydrogen utilization efficiency with significantly reduced computational overhead and full marine suitability. By taking advantage of the high solar irradiance and coastal wind resources in Saudi Arabia the proposed configuration provides continuous near-zeroemission operation. Simulation results show that the PEMFC accounts for about 90% of the total energy demand the BESS (±0.4 MW 2 MWh) accounts for about 3% and the stationary renewables account for about 7% which reduces the demand for hydro-gas to about 160 kg. The DC-bus voltage is kept within ±5% of its nominal value of 750 V and the battery state of charge (SOC) is kept within 20% to 80%. Sensitivity analyses show that by varying renewable input by ±20% diesel consumption is ±5%. These results demonstrate the system’s ability to meet International Maritime Organization (IMO) emission targets by delivering stable near-zero-emission operation while achieving high hydrogen efficiency and grid stability with minimal computational cost. Consequently the proposed system presents a realistic certifiable and regionally optimized roadmap for next-generation hybrid PEMFC–battery–renewable marine power systems in Saudi Arabian coastal operations.
A Deep Neural Network-Based Approach for Optimizing Ammonia–Hydrogen Combustion Mechanism
Nov 2025
Publication
Ammonia is a highly promising zero-carbon fuel for engines. However it exhibits high ignition energy slow flame propagation and severe pollutant emissions so it is usually burned in combination with highly reactive fuels such as hydrogen. An accurate understanding and modeling of ammonia–hydrogen combustion is of fundamental and practical significance to its application. Deep Neural Networks (DNNs) demonstrate significant potential in autonomously learning the interactions between high-dimensional inputs. This study proposed a deep neural network-based method for optimizing chemical reaction mechanism parameters producing an optimized mechanism file as the final output. The novelty lies in two aspects: first it systematically compares three DNN structures (Multilayer perceptron (MLP) Convolutional Neural Network and Residual Regression Neural Network (ResNet)) with other machine learning models (generalized linear regression (GLR) support vector machine (SVM) random forest (RF)) to identify the most effective structure for mapping combustion-related variables; second it develops a ResNet-based surrogate model for ammonia–hydrogen mechanism optimization. For the test set (20% of the total dataset) the ResNet outperformed all other ML models and empirical correlations achieving a coefficient of determination (R2 ) of 0.9923 and root mean square error (RMSE) of 135. The surrogate model uses the trained ResNet to optimize mechanism parameters based on a Stagni mechanism by mapping the initial conditions to experimental IDT. The results show that the optimized mechanism improves the prediction accuracy on laminar flame speed (LFS) by approximately 36.6% compared to the original mechanism. This method while initially applied to the optimization of an ammonia–hydrogen combustion mechanism can potentially be adapted to optimize mechanisms for other fuels.
Advancing the Energy Transition in the Steel Industry: A Game-theoretic Bilevel Approach for Green Hydrogen Supply Chains
Sep 2025
Publication
Green hydrogen is essential for advancing the energy transition as it is regarded as a CO2-neutral flexible and storable energy carrier. Particularly in steel production which is known for its high energy intensity hydrogen has great potential to replace conventional energy sources. In a game-theoretic bi-level optimization model involving a power plant operator and a steel company we investigate in which situations the production and use of green hydrogen is advantageous from an economic and ecological point of view. Through an extensive case study based on a realworld scenario we can observe that hydrogen production can serve as a profitable and flexible secondary income opportunity for the power plant operator and help avoid curtailment and spot market losses. On the other hand the steel manufacturer can reduce CO2 emissions and associated costs while also meeting the growing customer demand for low-carbon products. However our findings also highlight important trade-offs and uncertainties. While lower electricity generation costs or improved electrolyzer efficiency enhance hydrogen’s competitiveness increases in coal and CO2 emission prices do not always result in greater hydrogen adoption. This is due to the persistent reliance on a non-replaceable share of coal in steel production which raises the overall cost of both low-carbon and carbon-intensive steel. The model further shows that consumer demand elasticity plays a critical role in determining hydrogen uptake. These insights underscore the importance of not only reducing hydrogen costs but also designing supportive policies that address market acceptance and the full cost structure of green industrial products.
Process Analysis and Techno-economic Comparison of Aviation Biofuel Production via Microbial Oil and Ethanol Upgrading
Oct 2025
Publication
The transport sector is the largest source of greenhouse gases in the EU after the energy supply one contributing approximately 27% of total emissions. Although decarbonization pathways for light-duty transport are relatively well established heavy-duty transport shipping and aviation emissions are difficult to eliminate through electrification. In particular the aviation sector is strongly dependent on liquid hydrocarbons making the development of sustainable aviation fuels (SAFs) a critical priority for achieving long-term climate targets. This study evaluates four biomass-to-liquid pathways for producing jet-like SAF from lignocellulosic biomass: (1) triacylglycerides (TAGs) production from syngas fermentation (2) TAGs production from sugar fermentation (3) ethanol production from syngas fermentation and (4) ethanol production from sugar fermentation. These pathways are simulated using Aspen Plus™ and the mass and heat balances obtained are used to assess their technical performance (e.g. carbon utilization energetic fuel efficiency) and techno-economic viability (e.g. production cost capital investment). Pathway (4) demonstrated the highest jet fuel selectivity (63%) and total carbon utilization (32.5%) but at higher power demands. Pathway (1) was self-sufficient in energy due to internal syngas utilization but exhibited lower carbon efficiencies. Cost analysis revealed that microbial oil-based pathways were restrained by higher hydrogen demands and lower product selectivity compared to ethanol-based routes. However with advancements in microbial oil production efficiency and reduced water usage these pathways could become competitive.
Towards Green and Smart Ports: A Review of Digital Twin and Hydrogen Applications in Maritime Management
Oct 2025
Publication
Modern ports are pivotal to global trade facing increasing pressures from operational demands resource optimization complexities and urgent decarbonization needs. This study highlights the critical importance of digital model adoption within the maritime industry particularly in the port sector while integrating sustainability principles. Despite a growing body of research on digital models industrial simulation and green transition a specific gap persists regarding the intersection of port management hydrogen energy integration and Digital Twin (DT) applications. Specifically a bibliometric analysis provides an overview of the current research landscape through a study of the most used keywords while the document analysis highlights three primary areas of advancement: optimization of hydrogen storage and integrated energy systems hydrogen use in propulsion and auxiliary engines and DT for management and validation in maritime operations. The main outcome of this research work is that while significant individual advancements have been made across critical domains such as optimizing hydrogen systems enhancing engine performance and developing robust DT applications for smart ports a major challenge persists due to the limited simultaneous and integrated exploration of them. This gap notably limits the realization of their full combined benefits for green ports. By mapping current research and proposing interdisciplinary directions this work contributes to the scientific debate on future port development underscoring the need for integrated approaches that simultaneously address technological environmental and operational dimensions.
Simulation of the Hydrogen Railway Engine Performance Under Different Load Conditions and Control Parameters
Oct 2025
Publication
The article examines the use of hydrogen fuel as an alternative to traditional diesel fuel for internal combustion engines (ICE) in railway applications. The main objective of the study is to analyze the operational consumption of hydrogen fuel based on the mathematical modeling of the working cycle of the EMD 12-645E3C engine installed on CIE 071 locomotives used in freight and passenger service. The article provides information on the design features of the EMD 12-645E3C engine its technical parameters and the results of bench tests. The indicator parameters of the engine at various controller positions are determined and analyzed and the results of mathematical modeling of its operation on hydrogen fuel are presented. Particular attention is paid to changes in indicator parameters including the maximum combustion pressure and the peak gas temperature in the cylinder as well as comparing the mass consumption of diesel and hydrogen fuel. The study results demonstrate that the use of hydrogen allows the engine to maintain effective power across all operational modes while simultaneously reducing energy costs up to 8%. In this case the pressure and temperature of the gases in the cylinder increased by 3–6% and 5–8%. Recommendations are also provided regarding technical challenges associated with transitioning to hydrogen fuel including the modernization of the combustion chamber fuel system and safety system.
Assessment of the Use of a Passive Pre-Chamber in a Marine Engine Fueled with Ammonia–Hydrogen Mixtures
Oct 2025
Publication
This study investigates the combustion process in a marine spark-ignition engine fueled with an ammonia–hydrogen blend (15% hydrogen by volume) using a passive pre-chamber. A 3D-CFD model supported by a 1D engine model was employed to analyze equivalence ratios between 0.7 and 0.9 and pre-chamber nozzle diameters from 7 to 3 mm. Results indicate that combustion is consistently initiated by turbulent jets but at an equivalence ratio of 0.7 the charge combustion is incomplete. For lean mixtures reducing nozzle size improves flame propagation although not sufficiently to ensure stable operation. At an equivalence ratio of 0.8 reducing the nozzle diameter from 7 to 5 mm advances CA50 by about 6 CAD while further reduction causes minor variations. At richer conditions nozzle diameter plays a negligible role. Optimal performance was achieved with a 7 mm nozzle at equivalence ratio 0.8 delivering about 43% efficiency and 1.17 MW per cylinder.
Development of DC-DC Converters for Fuel-Cell Hybrid Power Systems in a Lift-Cruise Unmanned Aerial Vehicle
Oct 2025
Publication
Lift–cruise-type unmanned aerial vehicles (UAVs) powered by hydrogen fuel cells often integrate secondary energy storage devices to improve responsiveness to load fluctuations during different flight phases which necessitates an efficient energy management strategy that optimizes power allocation among multiple power sources. This paper presents an innovative fuel cell DC–DC converter (FDC) design for the hybrid power system of a lift–cruise-type UAV comprising a multi-stack fuel cell system and a battery. The novelty of this work lies in the development of an FDC suitable for a multi-stack fuel cell system through a dual-input single-output converter structure and a control algorithm. To integrate inputs supplied from two hydrogen fuel cell stacks into a single output a controller with a single voltage controller–dual current controller structure was applied and its performance was verified through simulations and experiments. Load balancing was maintained even under input asymmetry and fault-tolerant performance was evaluated by analyzing the FDC output waveform under a simulated single-stack input failure. Furthermore under the assumed flight scenarios the results demonstrate that stable and efficient power supply is achieved through power-supply mode switching and application of a power distribution algorithm.
Application and Research Progress of Mechanical Hydrogen Compressors in Hydrogen Refueling Stations: Structure, Performance, and Challenges
Nov 2025
Publication
The hydrogen energy industry is rapidly developing positioning hydrogen refueling stations (HRSs) as critical infrastructure for hydrogen fuel cell vehicles. Within these stations hydrogen compressors serve as the core equipment whose performance and reliability directly determine the overall system’s economy and safety. This article systematically reviews the working principles structural features and application status of mechanical hydrogen compressors with a focus on three prominent types based on reciprocating motion principles: the diaphragm compressor the hydraulically driven piston compressor and the ionic liquid compressor. The study provides a detailed analysis of performance bottlenecks material challenges thermal management issues and volumetric efficiency loss mechanisms for each compressor type. Furthermore it summarizes recent technical optimizations and innovations. Finally the paper identifies current research gaps particularly in reliability hydrogen embrittlement and intelligent control under high-temperature and high-pressure conditions. It also proposes future technology development pathways and standardization recommendations aiming to serve as a reference for further R&D and the industrialization of hydrogen compression technology.
An Overview of Development and Challenges in the Use of Hydrogen as a Fuel for a Dual-Fuel Diesel Engine
Nov 2025
Publication
The gradual exhaustion of fossil fuel reserves along with the adverse effects of their consumption on global climate drives the need for research into alternative energy sources that can meet the growing demand in a sustainable and eco-friendly way. Among these hydrogen stands out as one of the most promising options for the automotive sector being the cleanest available fuel and capable of being produced from renewable resources. This paper reviews the existing literature on compression ignition engines operating in a dualfuel configuration where diesel serves as the ignition source and hydrogen is used to enhance the combustion process. The reviewed studies focus on engine systems with hydrogen injection into the intake manifold. The investigations analyzed the influence of hydrogen energy fraction on combustion characteristics engine performance combustion stability and exhaust emissions in diesel/hydrogen dual-fuel engines operating under full or near-full-load conditions. The paper identifies the main challenges hindering the widespread and commercial application of hydrogen in diesel/hydrogen dual-fuel engines and discusses potential methods to overcome the existing barriers in this area.
Life Cycle of Fuel Cells: From Raw Materials to End-of-Life Management
Nov 2025
Publication
Fuel cells are highly efficient electrochemical devices that convert the chemical energy of fuel directly into electrical energy while generating minimal pollutant emissions. In recent decades they have established themselves as a key technology for sustainable energy supply in the transport sector stationary systems and portable applications. In order to assess their real contribution to environmental protection and energy efficiency a comprehensive analysis of their life cycle Life Cycle Assessment (LCA) is necessary covering all stages from the extraction of raw materials and the production of components through operation and maintenance to decommissioning and recycling. Particular attention is paid to the environmental challenges associated with the extraction of platinum catalysts the production of membranes and waste management. Economic aspects such as capital costs the price of hydrogen and maintenance costs also have a significant impact on their widespread implementation. This manuscript presents detailed mathematical models that describe the electrochemical characteristics energy and mass balances degradation dynamics and cost structures over the life cycle of fuel cells. The models focus on proton exchange membrane fuel cells (PEMFCs) with possible extensions to other types. LCA is applied to quantify environmental impacts such as global warming potential (GWP) while the levelized cost of electricity (LCOE) is used to assess economic viability. Particular attention is paid to the sustainability challenges of platinum catalyst extraction membrane production and end-of-life material recovery. By integrating technical environmental and economic modeling the paper provides a systematic perspective for optimizing fuel cell deployment within a circular economy.
Optimal Dispatch Model for Hybrid Energy Storage in Low-Carbon Integrated Energy Systems
Nov 2025
Publication
Integrated Energy Systems (IESs) which leverage the synergistic coordination of electricity heat and gas networks serve as crucial enablers for a low-carbon transition. Current research predominantly treats energy storage as a subordinate resource in dispatch schemes failing to simultaneously optimise IES economic efficiency and storage operators’ profit maximisation thereby overlooking their potential value as independent market entities. To address these limitations this study establishes an operator-autonomous management framework incorporating electrical thermal and hydrogen storage in IESs. We propose a joint optimal dispatch model for hybrid energy storage systems in low-carbon IES operation. The upper-level model minimises total system operation costs for IES operators while the lower-level model maximises net profits for independent storage operators managing various storage assets. These two levels are interconnected through power price and carbon signals. The effectiveness of the proposed model is verified by setting up multiple scenarios for example analysis.
Hydrogen-Rich Gaseous Mixture for Enhanced Combustion in a Flex-Fuel Engine: An Experimental Analysis
Nov 2025
Publication
This experimental study examines the effect of adding a hydrogen-enriched synthetic gaseous mixture (HGM’) on the combustion and fuel conversion efficiency of a singlecylinder research engine (SCRE). The work assesses the viability of using this mixture as a supplemental fuel for flex-fuel engines operating under urban driving cycling conditions. An SCRE the AVL 5405 model was employed operating with ethanol and gasoline as primary fuels through direct injection (DI) and a volumetric compression ratio of 11.5:1. The HGM’ was added in the engine’s intake via fumigation (FS) with volumetric proportions ranging from 5% to 20%. The tests were executed at 1900 rpm and 2500 rpm engine speeds with indicated mean effective pressures (IMEPs) of 3 and 5 bar. When HGM’s 5% v/v was applied at 2500 rpm the mean indicated effective pressure of 3 bar was observed. A decrease of 21% and 16.5% in the ISFC was observed when using gasoline and ethanol as primary fuels respectively. The usage of an HGM’ combined with gasoline or ethanol proved to be a relevant and economically accessible strategy in the improvement of the conversion efficiency of combustion fuels once this gaseous mixture could be obtained through the vapor-catalytic reforming of ethanol giving up the use of turbochargers or lean and ultra-lean burn strategies. These results demonstrated the potential of using HGM’ as an effective alternative to increase the efficiency of flex-fuel engines.
Hydrogen Utilization for Decarbonizing the Dairy Industry: A Techno-economic Scenario Analysis
Nov 2025
Publication
This study investigates the integration of on-site green hydrogen as a substitute for methane in steam generation in the dairy industry specifically in the production of Parmigiano Reggiano cheese. This represents a novel application of green hydrogen in industrial dairy processing with the potential to reduce greenhouse gas emissions. Hydrogen is assumed to be generated via electrolysis powered by photovoltaic energy. A comprehensive techno-economic assessment was conducted with simulations covering key design variables such as hydrogen fraction in steam production photovoltaic panel orientation and storage pressure. A wide range of scenarios was defined in order to account for variability in system structures and performance and a comprehensive economic assessment was then carried out using a Monte Carlo simulation approach and a sensitivity analysis. Results indicate that in all scenarios the net present value over a 15-year period remains negative when benefits are limited to methane savings. Indeed the high capital expenditure associated with hydrogen systems presents a major barrier. The most favorable cases occur at low hydrogen shares with seasonal storage while full conversion to hydrogen maximizes CO2 abatement but is least economical. With public funding the emissions saved per euro of public support range from 1.58 to 2.14 kg CO2eq/€.
Decarbonization of Hard-to-abate Industries under Water Constraints via Renewable Hydrogen Infrastructure Planning
Nov 2025
Publication
Achieving global decarbonization is essential to mitigate climate change yet heat-intensive industries remain challenging to decarbonize through electrification alone. Green hydrogen offers a clean alternative to replace fossil fuels and fossil fuel–based hydrogen but its deployment requires careful planning and robust economic assessment. This study addresses the optimal design of a green hydrogen supply chain in a Mediterranean region where ceramics and cement dominate as energy-intensive industries while oil refining is the main consumer of fossil fuel–based hydrogen. The region also faces freshwater scarcity due to its climate and the high demand for water from tourism and agriculture. A Mixed-Integer Linear Programming (MILP) model is developed to minimize the total cost of supplying green hydrogen by determining the optimal size and location of renewable energy sources integrating desalinated seawater from existing desalination plants as feedstock and designing the infrastructure connecting production storage and demand centers. The cost-optimal configuration includes 3.4 GW of PEM electrolyzers requiring 41.1 m3 /h of desalinated seawater supplied by existing desalination plants along with 5.1 GW of wind and 12 GW of solar power as renewable energy sources for large-scale hydrogen production. Results show that supplying green hydrogen to these industries can avoid approximately 4.4 million tons of CO2 emissions annually achieving a levelized cost of hydrogen (LCOH) of $2.18/kg for the period 2030–2050. Beyond this case study the proposed framework provides a replicable methodology for planning hydrogen-based energy systems in regions facing similar water and decarbonization challenges.
Technical and Environmental Assessment of New Green Iron Production Strategies using Hydrogen
Nov 2025
Publication
In order to assess the decarbonization potential and overall environmental benefits of new reduction pathways in the ironmaking industry using hydrogen to produce Direct Reduced Iron (DRI) a coupled approach combining process simulation for rigorous technical and energy evaluation of iron ore conversion and Life Cycle Assessment (LCA) for environmental assessment was developed and extended to two alternative renewable heating strategies: (i) electric gas heating and (ii) solar reactor heating. The entire hydrogen-based ironmaking process including conversion in a shaft reactor gas and solid heating gas recycling and electrolysis was therefore simulated. The hydrogen-based reduction of iron ores in the shaft reactor was modeled using a rigorous reactor model describing the reduction of multi-layer iron ore pellets in countercurrent gas–solid moving beds with the particularity of representing the dual influence of particle size and temperature on conversion. The remainder of the process including gas recycling and hydrogen production was simulated using ProSim software. The hydrogen-based green ironmaking scenarios were then compared to MIDREX NG a leading natural gas-based reduction technology. Hydrogen-based scenarios powered by the French electricity mix reduce carbon footprints by 53 % for electric gas heating and 57 % for solar reactor heating potentially reaching 82 % (− 0.79 kgCO2-eq/kgDRI) with low-carbon electricity (hydro nuclear). Compared to MIDREX NG the energy requirements of both hydrogen-based scenarios are primarily determined by the use of electricity for hydrogen production illustrating the importance of hydrogen production for the assessment of future hydrogen-based green ironmaking.
Heat Transfer Enhancement in Regenerative Cooling Channels: Numerical Analysis of Single- and Double-row Cylindrical Ribs with Supercritical Hydrogen
Nov 2025
Publication
The thermal protection of rocket engine combustion chambers presents a critical challenge in supersonic flight applications. This study numerically investigates the enhancement of heat transfer and coolant flow characteristics in regenerative cooling channels through cylindrical rib integration employing ANSYS Fluent with SST k-ω turbulence modeling to evaluate single- and double-row configurations (0.75–1.25 mm diameter) under supercritical hydrogen conditions (3 MPa 300 K inlet). Results demonstrate that rib-induced turbulence disrupts thermal boundary layers with a 1.25 mm single-row design achieving a 13.67 % reduction in peak wall temperature compared to smooth channels while double-row arrangements show diminishing returns due to increased flow resistance. The thermal performance factor (η = (Nu/Nu₀)/(f/f₀) 1/3) reveals Case 3′s superiority (21.88 % improvement over the smooth channel configuration) in balancing heat transfer enhancement against pressure drop penalties (9.23–20.93 % for single-row 8.26–18.7 % for double-row). Notably density-driven flow acceleration near heated walls mitigates pressure losses through localized viscosity reduction. Furthermore cylindrical ribs reduce thermal stratification by up to 30 % in single-row configurations with double-row designs providing additional temperature homogenization at the cost of increased flow resistance. These findings offer critical insights for optimizing rib-enhanced cooling systems in high-performance rocket engines achieving simultaneous thermal efficiency and hydraulic performance improvements.
Flame Curvature in Heat-loss-affected Lean Hydrogen Flames: A One-dimensional Manifold Approach
Oct 2025
Publication
Curvature effects are incorporated into a one-dimensional composition-space formulation of a non-unity Lewis number lean premixed flame with strong heat loss. The results of this new canonical problem successfully compare with direct numerical simulations (DNS) of a lean hydrogen-air flame propagating in a narrow channel with heat conduction through the confining plates. The complex dynamics of the flame front consisting of isolated flame kernels are analyzed through the various terms arising from the projection of the fuel and energy equations onto a moving scalar reference frame attached to the reaction zone. Novelty and significance statement A novel one-dimensional flame model incorporating curvature and differential diffusion effects is introduced to address non-unity Lewis number lean premixed flames with strong heat loss. This canonical flame model arises from the projection of temperature and fuel gradient magnitude onto composition space. The framework is employed to analyze flame front dynamics and identify the reaction zones governing flame kernel propagation and heat release. The composition-space flame structure shows strong agreement between the canonical problem and direct numerical simulations (DNS) of a lean hydrogen-air flame propagating in a narrow channel with heat conduction.
Thermal Energy Integration and Optimization in a Biomass-fueled Multi-generation System for Power, Hydrogen, and Freshwater Production
Nov 2025
Publication
This work investigates a biomass-driven multi-generation system designed for simultaneous power freshwater and hydrogen production addressing the interlinked energy-waterenvironment nexus. The configuration integrates Brayton supercritical carbon dioxide (SCO2) organic Rankine cycle (ORC) and thermoelectric generator (TEG) subsystems to maximize utilization of biomass-derived syngas. The recovered energy drives a reverse osmosis (RO) desalination unit for freshwater production and an alkaline electrolyzer for hydrogen generation followed by two-stage compression for storage. Under baseline conditions the system generates 1.99 MW of electricity 9.38 kg/h of hydrogen and 88.6 m3 /h of freshwater with an overall exergetic efficiency of 20.25 % emissions intensity of 0.85 kg/kWh and a payback period of 5.87 years. The Brayton cycle accounts for 49.3 % of the total cost rate while the gasifier exhibits the highest exergy destruction at 46 %. Sensitivity analyses show that varying biomass moisture content (10–30 %) and operating temperatures (700–900 ◦C) significantly influence system performance. Using a data-driven optimization framework that combines artificial neural networks (ANN) and a genetic algorithm (GA) the system’s exergetic efficiency improves to 21.76 % freshwater output rises to 90.96 m3 /h and emissions intensity decreases to 0.877 kg/kWh. Additionally optimization reduces the total cost rate by 2.71 % leading to a payback period of 5.4 years and enhances the system’s overall performance by 12.64 %.
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