Amount Of Hydrogen Production Research Articles

Highly enhanced photocatalytic hydrogen production via GO-modified Cu-TiO2 system for dehydrogenation of alcohols under UV & sunlight irradiation

The high efficiency of the production of hydrogen from alcohols is vital to the advancement of energy technology. This study thoroughly investigates the process of alcohol dehydrogenation utilising GO-modified Cu-TiO2 photocatalyst under UV light and sunlight exposure. GO-modified Cu-TiO2 photocatalyst was synthesised using the hydrothermal method. Various experimental techniques, including FESEM, HRTEM, XPS, and DRS, confirmed the formation of the ternary composite. The influence of different alcohols (methanol, ethanol, propanol) and their concentrations (same vol% and molarity) on the amount of hydrogen (H2) production was examined in this study. The study thoroughly investigated the impact of various parameters, such as the influence of GO and Cu loading on TiO2 and their combined effect, time course, nature of alcohol and the reaction conditions on the photocatalytic hydrogen production. The GO(0.5 wt%)/Cu(3 wt%)-TiO2 (G0.5C3T) composite demonstrated the highest quantity of hydrogen production during methanol dehydrogenation when subjected to both UV and sunlight irradiation. The composite exhibited remarkably about three-fold higher hydrogen evolution in sunlight(881 mmol) than in UV light(294 mmol). The exceptional performance of this composite can be attributed to the efficient transfer of charge carriers and the delayed recombination of electron-holes, which is a result of the cooperative effect of GO and Cu deposited over the TiO2 system. This approach offers a proactive strategy, signifying the synergetic effect of loading GO and Cu over TiO2 to enhance the photocatalytic hydrogen production, which is regarded as a green fuel solution, and turns these materials into useful energy sources by using inexpensively synthesised photocatalysts.

Up-conversion luminescence and Bi SPR effect promoted Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst for efficient photocatalytic hydrogen production with simultaneous degradation of malachite green

Photocatalytic hydrogen production with simultaneous degradation of organic pollutants by using solar energy provide a promising strategy to solve the energy and environmental issue in the future. However, for onefold wide band-gap semiconductor, the poor photocatalytic efficiency limits its application on a large scale due to its easy recombination of photo-generated electron-hole pairs and low solar energy utilization. Herein, a novel Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst is prepared via photo-assisted isoelectric point method. In this composite photocatalyst, up-convention luminescence material, NaYF4:Er,Yb,Tm, can offer more ultraviolet light and visible light to intensify the activations of BiOBr and metal Bi nanoparticles, respectively. Furthermore, the formation of Z-scheme BiVO4(040)-BiOBr photocatalystic sytem, the spatial separation of the BiVO4(040) and BiVO4(110) facets and the presence of metal Bi surface plasmon resonance effect are contributed to the high-efficiency separation of the photo-generated electron-hole pairs. The experimental results show that as-prepared Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst exhibits advanced photocatalytic hydrogen production amount (192.0 μm) and excellent degradation ratio of malachite green (88.51 %) under simulated sunlight irradiation for 5.0 h. The apparent quantum yield of the Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst at 420 nm reaches a specific value of 5.8 %. In addition, Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst also remains a high stability in the photocatalytic hydrogen production with simultaneous degradation of malachite green within six reuse. At last, the possible reaction mechanism and degradation pathways of malachite green caused by Z-scheme BiVO4(040)-Bi-(NaYF4:Er,Yb,Tm@BiOBr)/Bi photocatalyst under simulated sunlight irradiation are put forward.

Assessment of hydrogen production potential of APEX fusion blanket via cobalt-chlorine and copper-chlorine cycles

In this paper, the neutronic and hydrogen production performances of the advanced power extraction fusion reactor (APEX) have been investigated by using TRISO thorium fuel. With this study, TRISO-coated nuclear fuel was first used in the APEX fusion reactor. In this calculation, firstly, the neutronic performances for 10 % ThC + 90 % FLiBe and various 6Li enrichment ratios have been computed with MCNP. Secondly, the potential of hydrogen production of the hydrogen unit, which contains cobalt-chlorine cycle and copper-chlorine cycle, integrated with the advanced power extraction fusion reactor has been performed. The tritium breeding ratio has changed between 1.09 and 1.15 among 7.5 % and 90 % 6Li enrichment ratios for 10 % ThC + 90 % FliBe. The energy multiplication factors have been obtained as 1.2727 and 1.3209, respectively, among 7.5 % and 90 % 6Li enrichment ratios. The thermal power, its ratio, and the hydrogen production amount have been calculated depends on the energy multiplication factor for various 6Li enrichment ratios and each considered cycle. The results showed that hydrogen production quantity increases with a rising 6Li enrichment ratio for both cycles. The highest produced hydrogen amount was obtained as 12.74 kg/s via the Cu-Cl cycle, whereas hydrogen production with the Co-Cl cycle has been computed as 6.79 kg/s in the cases of 10 % ThC fuel ratio and 90 % 6Li enrichment ratio.

MOF-derived hollow octahedral CoxP/MOF-801 p-n heterojunction for efficient photocatalytic hydrogen production

Hydrogen energy produced through photocatalytic water splitting is widely recognized as a viable solution to the depletion of non-renewable energy resources and ecological contamination concerns. This work designed and synthesized the MOF-derived hollow octahedral CoxP/MOF-801 p-n heterojunction photocatalyst. According to the result of hydrogen production test, the hydrogen production amount of CoxP/MOF-801-2 could reach 25.31 mmol g−1 under light irradiation for 5 h. The hollow octahedral structure and p-n heterojunction of the photocatalyst helped to enhance the light trapping ability and promote carrier transfer, resulting in improved performance of photocatalytic hydrogen production. To sum up, the design of hollow octahedral CoxP/MOF-801 photocatalyst effectively improved the photocatalytic hydrogen production performance.

Sol-Gel Production of Unmodified and Lanthanum-Modified BiFeO3 Nanomaterials and Photoelectrochemical Studies of Hydrogen Evolution

We provide a simple sol-gel method for synthesising LaxBi1-xFeO3 (x=0.00, 0.10). Greater control over the BiFeO3 particle shape and phase purity is possible with this manufacturing technique.X-ray diffraction, scanning electron microscopy, and UV-visible spectroscopy were used, respectively, to assess the crystallographic analysis, particle shape, and optical qualities of the material. The X-ray diffraction method proved the production of a pure phase of BiFeO3.The synthesised materials shown good photocatalytic activity when exposed to UV-visible light. We discovered that doped materials had better photocatalytic activity of producing hydrogen than virgin materials. We have also recorded the amount of hydrogen production by inverted burette technique.

Fabrication and improved photocatalytic performance of 2D/0D structured g-C3N4/WO3 composite materials

In this work, WO3 quantum dots grow in situ on the synthesized ultra-thin g-C3N4 nanosheets, ultimately forming a type of tightly bound 2D/0D Z-type heterojunctions. It was found that WO3 quantum dots were closely combined with g-C3N4 nanosheets through SEM and TEM measurements. XRD, IR, and XPS characterization proved a g-C3N4/WO3 heterojunction material was formed. The construction of g-C3N4/WO3 heterojunctions enhanced visible light absorption, improved carrier separation efficiency, and reduced charge transfer resistance. Photocatalytic hydrogen production tests showed that the hydrogen production rate of 20% g-C3N4/WO3 composite materials was 2.8 times that of the original g-C3N4, and the hydrogen production amount within 3 h was 3.7 times that of the original g-C3N4. Photocatalytic degradation of Rhodamine B and 4-chlorophenol under visible light irradiation showed that compared with g-C3N4, the photocatalytic degradation efficiency of 20% g-C3N4/WO3 composite materials was enhanced. The results reveal that the special structured g-C3N4/WO3 composite materials have excellent photocatalytic activity, which can not only efficiently produce hydrogen but also efficiently degrade organic pollutants, providing an important reference for solving energy crises and environmental problems.

Utilization of Magnesium Chloride (Mg-Cl) cycle for Hydrogen Production of SOMBRERO Fusion Reactor

The aim of this study is to investigate the hydrogen production potential of the Mg-Cl (magnesium chloride) cycle in the SOMBRERO fusion reactor. Three different percentages of UO2 nuclear fuel, namely 2%, 6% and 10%, have been used while keeping the fuel zone thickness constant. The performance of the SOMBRERO fusion reactor has been considered statically. The neutronic calculations have performed with Monte Carlo neutron transport code. Firstly, it has been determined that the tritium breeding ratio (TBR) and energy multiplication factor (M) values depends on neutronically. Secondly, the amount of hydrogen production with by using energy multiplication factor (M) have been performed. The highest hydrogen production has been obtained as 8,12687 kg/s for 10% UO2 fuel ratio.

Bandgap energy controlling and electrochemical performances of quaternary metal oxide combined graphene-TiO2 nanocomposite and its photocatalytic hydrogen evolution

A quaternary metal oxide (BiZnSb2O4) combined graphene-TiO2 nanocomposite could be used to control band gap energy using a heterojunction for high hydrogen production by photocatalytic activity. Here, we designed a BiZnSb2O4 combined graphene-TiO2 heterostructure using a high-power sonic synthesis process. The photocatalyst prepared in this way was coated on a nickel foam in the form of a thin film. Various techniques were then used to characterize the nanoscale composite hybrid. Standard three-probe electrode systems were used for cyclic voltammetry test, LSV, and Tafel data. Finally, we obtained good hydrogen evolution results using three different types of nanocomposites with bandgap energy control. To check photoreaction characteristics of the synthesized sample, more current generation reactions were confirmed in the photocatalyst because light existed in the evaluation of electrochemical characteristics depending on the presence or absence of light. Among these three samples, the BZSB-G-T photocatalyst showed the highest hydrogen production amount (95.5 μmol/g without ultrasonic and 112.6 μmol/g with ultrasonic during 4 h). In addition, BZSB-G-T had a lower band-value energy effect with a heterojunction effect compared to the other two types of photocatalysts owing to its synergetic effects.

Optimal Investment Strategy Analysis of On-Site Hydrogen Production Based on the Hydrogen Demand Prediction Using Machine Learning

In order to achieve the hydrogen economy and respond to initial hydrogen demand appropriately, a hydrogen production and operation methodology is required to secure the economic feasibility of long-term on-site HRS. This study proposes a novel investment strategy for on-site hydrogen production to meet future hydrogen demand. The optimal investment strategy based on the dual-modal mode of combined autothermal reforming (ATR) and steam methane reforming (SMR) is proposed for hydrogen production using natural gas (NG) as a raw material. To predict hydrogen demand from 2020 to 2030, the machine learning (ML) technique was adopted. R2 and MSE as result using ML were 0.9936 and 6.88×10−5, respectively. In addition, the ATR-SMR hydrogen strategy (ASHS) process was analyzed and compared with the SMR-SMR and ATR-ATR hydrogen strategy (SSHS and AAHS) processes in terms of optimal operation rate, storage tank management, economics, and environmental impacts. The operation rate of proposed hydrogen production processes was determined by the hydrogen demand and storage tank level, and the optimal investment plan to install additional hydrogen process depends on the total amount of hydrogen production. In this study, these results were observed due to the effective combination of the strengths of ATR and SMR. Consequently, the ASHS had the best cost-effectiveness (LCOH at $5.63/kg H2) and environmental friendliness (unit CO2eq emissions at 10.21 kg CO2eq/kg H2 and 1.73 kg CO2eq/kg H2 with CCS). This study includes sensitivity analysis and a comparison of CO2 taxes by the country for three proposed hydrogen production processes. It could contribute to the optimal operation of the on-site hydrogen production system in preparation for future hydrogen demand.

Construction of CdIn2S4/ZnSn(OH)6 heterojunctions for efficient photocatalytic hydrogen generation

CdIn2S4 nanosheets ornamented ZnSn(OH)6 microsquares (CIS/ZSOH) heterostructures were devised and fabricated using an easy hydrothermal procedure. The specimens were characterized exhaustively using diverse technologies and used to produce hydrogen. Compared with CdIn2S4 and ZnSn(OH)6, CIS/ZSOH heterostructures presented remarkably superior photocatalytic activities. In addition, CIS/ZSOH-35% exhibited the optimized hydrogen production amount of 4 mmol g−1. Also, the reusable constancy of CIS/ZSOH-35% was very prominent. From relevant characterization results, CIS/ZSOH-35% possessed bigger specific surface area, stronger light-absorption ability and higher charge separation efficiency, which would benefit to improve the photocatalytic performance. Ultimately, the formation of type II heterojunction by CdIn2S4 and ZnSn(OH)6 was confirmed by the band structure and UPS analyses. The study might administer a charming approach to modify the broad band gap photocatalysts.

Thermodynamic analysis of an evacuated tube solar collector system for industrial building application: A case study

In this study, a modified solar-Organic Rankine Cycle (ORC) assisted hydrogen production system for two different scenarios was experimentally investigated. In the study, evacuated tube solar collector (ETSC), ORC system, proton exchanger membrane electrolyzer (PEMe) unit is discussed with a holistic perspective. The presented work includes energy and exergy analysis of solar-ORC assisted hydrogen production. According to scenario 1 (S-1), only the case of hydrogen production from the installed system is considered. According to Scenario 2 (S-2), the both electrical energy and hydrogen production from the installed system is examined. As a result of the study, the energy efficiency in S-1 and S-2 operating modes was calculated as 9.553% and 16.02%, respectively. Additionally, the highest exergy efficiency for both scenarios was calculated as 6.129% in the S-2 scenario. Furthermore, hydrogen production amount of the S-1 and S-2 scenarios was calculated as 743.1 kg/annual and 371.5 kg/annual, respectively.

Electricity and hydrogen cogeneration: A case study simulation via the Aspen plus tool

The focus of the current study is on a cogeneration unit designed to produce both electricity and hydrogen, which is made up of a parabolic trough collectors’ field associated with a storage tank, a recuperative organic Rankine cycle module, and a proton exchange membrane water electrolyzer. The latter system operates using electricity generated by the organic Rankine cycle to produce hydrogen, which can subsequently be used as either a fuel or a storage medium for seasonal storage. The study begins with a thermodynamic investigation under both steady-state and dynamic conditions. The solar field is simulated using the Engineering Equation Solver, while the organic Rankine cycle and the electrolyzer are modeled in Aspen Plus. The analysis extends to economic and environmental evaluations, along with an optimization procedure based on techno-economic criteria. Regarding the optimum design case, the annual net electricity yield is determined at 333.8 MWh, the yearly hydrogen production amount is equal to 6236.6 kg, while the yearly energy efficiency is calculated at 14.9% and the yearly exergy efficiency at 15.9%. Finally, the economic investigation indicates the net present value is about 645,555 €, while the system contributes to saving 198.1 tnCO2-eq during the yearly operation.

Designing and fabricating a neoteric immobilized Z-scheme V2O5/FeVO4/430-stainless steel foil photocatalyst composite film for tetracycline degradation with synchronous hydrogen production

For traditional photocatalyst composite films, the produced hydrogen and carbon dioxide are mixed together, which is not conducive to the direct use of hydrogen. In this study, a novel immobilized Z-scheme V2O5/FeVO4/430-stainless steel foil (V2O5/FeVO4/430-SSF) photocatalyst composite film was constructed. Thereby, the hydrogen and the carbon dioxide can separately generated on both sides of the photocatalytst film and the pure hydrogen can be obtained. The results show that the photocatalyst composite film prepared under optimal conditions has excellent photocatalytic activity in organic pollutant degradation with simultaneous hydrogen production. Under simulated sunlight irradiation for 120 min, the degradation ratio of tetracycline is 77.53% and the hydrogen production amount reaches 370.81 µmol/dm2. It is hoped that this work could provide some guiding suggestions to designing a photocatalyst composite film for efficient photocatalytic degradation of organic pollutants with simultaneous production of pure hydrogen in the future.

Multi-objective optimization of a cogeneration system based on solar energy for clean hydrogen, cooling, and electricity production

In an effort to encourage industries to switch from fossil fuels to renewable energy resources for supplying their energy demands, the exergy and financial aspects of a thermodynamic energy generation system were studied. The suggested system was modeled by MATLAB commercial software to assess the decision-making parameters affecting power generation, cooling capacity, and to produce hydrogen. The objective functions of this study were exergy efficiency and cost rate, while the temperatures at the inlet of the turbine and the evaporator, irradiated solar energy, mass flow rate, and surface area of the collector were the decision-making variables. The model was optimized via MOPSO and its results were compared with two widely utilized algorithms, namely NSGA-II and SPEA-II. The comparison results indicated that MOPSO surpassed other two optimization algorithm resulting in exergy efficiency and cost rate of 2.11 % and 21.14 $/h, respectively. According to this method, the optimum generated power was equal to 21.01 kW. Eventually, this system was utilized and evaluated in the city of Semnan, Iran. The performance results of the system in Semnan showed that the annual power output, taking into account the changes in radiation and ambient temperature, is between 316667.4 and 428080.5 kW. Also, the amount of hydrogen production is between 1503.66 and 1534.997 kg.

Well-Separated Photoinduced Charge Carriers on Hydrogen Production Using NiS2/TiO2 Nanocomposites.

Photocatalytic hydrogen production is a sustainable and greenhouse-gas-free method that requires an efficient and abundant photocatalyst, which minimizes energy consumption. Currently, interests in transition metal chalcogenide materials have been utilized in different applications due to their quantum confinement effect and low band gaps. In this study, different wt % of NiS2-embedded TiO2 nanocomposites were synthesized by a facile hydrothermal method and utilized for photocatalytic hydrogen production under extended solar irradiation. Among the materials studied, the highest amount (4.185 mmol g-1) of hydrogen production was observed with 15 wt % of the NiS2/TiO2 nanocomposite. The highest photocatalytic activity may be due to the well separation of photoinduced charge carriers on the catalyst, which was confirmed by the electrochemical studies. Thus, we believe that these photocatalysts are promising candidates for future applications.

Multi-criteria thermoeconomic optimization of a geothermal energy-driven green hydrogen production plant coupled to an alkaline electrolyzer

Among the various technologies for hydrogen production, the renewable energy driven water electrolysis has emerged as a favorable method. In this respect, the present research proposes and analyses a novel and efficient medium-temperature driven geothermal system for green hydrogen production. An alkaline electrolyzer is deployed for hydrogen production which is powered by a double flash steam geothermal power cycle. To boost the power generation (and hence the hydrogen production amount) the double flash cycle is equipped with a self-superheating process, which superheats the saturated vapor at turbine inlet without using another external heat source. Thermodynamic evaluations, based on exergy concept, along with economic analysis are carried out to assess the hydrogen production amount, plant exergy efficiency and total cost rate, and the unit hydrogen price. In order to represent a comprehensive investigation of the plant performance, parametric analyses along with single- and multi-criteria optimizations were conducted. The results revealed that, for 1kg/s of geothermal brine, the capacity of hydrogen production of the proposed plant is ∼1.5−3kg/h under various operating conditions. It is found that, under multi-objective optimum operating conditions, the plant yields 12.63% exergy efficiency and its total cost rate is calculated to be 10.42 $/h. However, if the plant is to be optimized for maximum exergy efficiency, the value of 14.25% is achievable which will result in increment of total cost rate to 11.97 $/h.

Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system

A green hydrogen production method based on solar energy is proposed, and Machine Learning (ML) models are adopted for system optimization. This study assayed to highlight the potential of using ML in anticipating the performance of a Photovoltaic Thermal (PVT) system integrated with an electrolyzer device. For this purpose, the performance of four different ML models, including Extreme Learning Machine (ELM), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and CatBoost, in predicting the hydrogen production of the solar-based system are analyzed. The hyperparameters of the ML models are optimized using the Arithmetic Optimization Algorithm (AOA). Furthermore, the optimum performance of the system is obtained by implementing the Multi-Objective Grey Wolf Optimizer (MOGWO). The outcomes reveal that the AOA-CatBoost is the most accurate ML model in predicting the performance of the system. This model forecasts that the maximum hydrogen production rates of the system in the seasons of spring, summer, fall, and winter are respectively 2.10 mol/h, 2.22 mol/h, 1.93 mol/h, and 1.87 mol/h. Besides, the MOGWO shows that the maximum amount of hydrogen production and electrical generation of the system are 24.48 mol/day and 7.74 MJ/day, respectively.

Techno-economic analysis and optimization of green hydrogen production and liquefaction with metal hydride storage

A techno-economic analysis and three-objective optimization are reported for a system that uses a renewable energy source (RES) for hydrogen production and liquefaction in which all the produced hydrogen enters the liquefaction cycle. The system works in three phases; hydrogen liquefaction, hydrogen storage and fuel cell power generation. Every second, the mass of produced hydrogen from the electrolyzer is calculated and immediately injected into the liquefaction cycle. This happens for 3600 s during each hour and for 12 h during the day. To reduce the execution time and increase the accuracy, six different artificial neural network (ANN) models have been used, which are optimized using genetic algorithm (GA). Decision variables for optimization include solar irradiation intensity, ambient temperature, heat exchanger efficiency, and isothermal compressor output pressure. The objective functions are chosen to be total exergy efficiency, liquefaction efficiency, and total cost rate, and the optimal values of the objective functions are found to be 19.3%, 19.8%, and 10.6 $/hr, respectively. The objective functions are illustrated in terms of daily time, as well as decision variables. Also, the effect of liquefaction efficiency and specific work consumption on liquefaction cycle parameters and electrolyzer temperature have been investigated. The results show that in the range of compressor output pressure between 5 and 15 MPa, for every n % increase in heat exchanger efficiency, the liquefaction efficiency increases by (n/2) % and the amount of liquid hydrogen production at steady-state becomes 0.162 kg/h. It is also found that if the storage system is turned off and all the produced power is given to the liquefaction system, the mass of liquefied hydrogen will increase by 17% at the end of the day.

Analysis of High-Pressure extended SBO accident in VVER-1000: A sensitivity study on lower plenum structures modeling and core region nodalization in MELCOR

The lower plenum structures of VVER-1000 reactors exhibit a unique shape. This paper aims to investigate the sensitivity of various important parameters related to safety using different models in the MELCOR 1.8.6 code's COR package. The study focuses on modeling the lower plenum structures and the core region using different CVH package nodalizations during a High Pressure Extended Station Black-Out accident. At first, MELCOR calculated parameters are investigated during the course of a severe accident for a basic model of the lower plenum structures and core region nodalization. Different important parameters from a safety point of view are also examined. These include the total amount of in-vessel hydrogen production, the lower head breach time and elevation, the synchronicity between lower head breach and debris ejection, the total amount of hydrogen produced during molten corium concrete interaction, the total amount of ejected debris to the cavity, and the total amount of radioactive material release. Then, by considering sixteen different simulations corresponding to four lower plenum structures modeling and four core region nodalizations, the sensitivity of the mentioned parameters is investigated. The obtained results show a sensitivity of about 12.7% for the timing of the accident (equivalent to), 103% for the hydrogen produced inside the vessel (equivalent to 417.9 to 847.8 kg), 143% for the hydrogen produced outside the vessel (equivalent to 445.7 to 1081.4 kg), 47% for the total hydrogen produced (equivalent to 1207.5 to 1780.7 kg), and 76% for total radioactive material release (equivalent to 625.311 to 1101.892 kg) up to 24 h after the accident.

Assessment of biomass-based green hydrogen production potential in Kazakhstan

Green hydrogen production from biomass is an eco-friendly and sustainable solution for reducing carbon emissions and promoting sustainable development. This paper presents potential green hydrogen production from available biomass resources, including agricultural crops and livestock waste in Kazakhstan in 14 regions. The study explores the potential of biomass-to-hydrogen production in Kazakhstan, including the availability and quality of biomass resources and environmental sustainability. The gasification process is chosen as the most efficient technology for biomass resource consumption to obtain green hydrogen. This is the first study in Kazakhstan contributes assessment of the geographic distribution of available biomass resources in the country.The total amount of green hydrogen production from agricultural waste is 432 tonnes/km2/year. Turkestan, Kyzylorda, Almaty, East Kazakhstan, Zhambyl, and North Kazakhstan are listed as regions with the highest green hydrogen production potential with an annual 122.2, 71, 57.6, 35.3, 29, and 28.5 tonnes/km2/year, respectively. Annual green hydrogen production from livestock waste is 5262 × 10−6 tonnes/km2/year which equals to 856 tonnes/year. The top three three regions with H2 production are Turkestan, Almaty and East Kazakhstan regions with 208, 112.5, and 93 tonnes/year, respectively. The results provide a perspective contribution for different regions to the sustainable energy future and carbon neutrality in the country.