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Article

Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods

by
Mohammad Sajjadi
and
Hussameldin Ibrahim
*
Clean Energy Technologies Research Institute (CETRI), Process Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, 3737 Wascana Parkway, Regina, SK S4S 0A2, Canada
*
Author to whom correspondence should be addressed.
Energies 2025, 18(13), 3272; https://doi.org/10.3390/en18133272
Submission received: 29 May 2025 / Revised: 18 June 2025 / Accepted: 20 June 2025 / Published: 23 June 2025

Abstract

Blue hydrogen is a key pathway for reducing greenhouse gas emissions while utilizing natural gas with carbon capture and storage (CCS). This study conducts a techno-economic and environmental analysis of a greenfield blue hydrogen plant in Saskatchewan, Canada, integrating both SMR and ATR technologies. Unlike previous studies that focus mainly on production units, this research includes all process and utility systems such as H2 and CO2 compression, air separation, refrigeration, co-generation, and gas dehydration. Aspen HYSYS simulations revealed ATR’s energy demand is 10% lower than that of SMR. The hydrogen production cost was USD 3.28/kg for ATR and USD 3.33/kg for SMR, while a separate study estimated a USD 2.2/kg cost for design without utilities, highlighting the impact of indirect costs. Environmental analysis showed ATR’s lower Global Warming Potential (GWP) compared to SMR, reducing its carbon footprint. The results signified the role of utility integration, site conditions, and process selection in optimizing energy efficiency, costs, and sustainability.

1. Introduction

In the last century, energy demand has increased noticeably, causing human societies to face several challenges, such as global warming [1]. The urgent need to address climate change, energy security, and economic stability has raised global debate about our energy sources’ future. In other words, as the third decade of the twenty-first century advances, human society is at a turning point in the energy industry [2]. On the other hand, the long-term and extensive use of fossil fuels has played a major role in climate change, which has affected the Earth’s climatic system. Fossil fuel combustion releases large amounts of greenhouse gases into the atmosphere, particularly carbon dioxide, which traps heat and raises global temperatures [3]. Sea levels are increasing as a result of the melting of glaciers and polar ice caps brought on by global warming, endangering coastal ecosystems and livelihoods through increased erosion and floods. Furthermore, extreme occurrences like intense heat waves are being brought on by climate change throughout southern Europe, the Middle East, and a large portion of North America [4]. According to a recent study conducted in 2024, the climate has shifted to a consistently warmer-than-average state. Notably, the global temperature rise has exceeded the 1.5 °C threshold set by the Paris Agreement’s climate goals much earlier than anticipated, driven by both human activities and specific meteorological conditions [5]. Therefore, switching to clean energies would have varied impacts on energy security and environment protection. Accordingly, embracing renewable energy sources such as solar, wind, and hydrogen is essential for creating a more resilient and environmentally friendly energy system [6].
The International Energy Agency (IEA) has emphasized hydrogen’s potential as an alternative fuel in its 2050 net-zero road map, particularly for the transportation and aviation sectors [7]. Hydrogen serves as a viable alternative for transitioning from fossil fuels to renewable energy, as it produces no greenhouse gas emissions when burned or oxidized for energy. In fuel cells, it generates electricity by reacting with oxygen, with water being the only byproduct. Unlike natural gas combustion, hydrogen avoids emitting harmful pollutants like nitrogen oxides and particulate matter, contributing to better air quality and improved public health [8]. Hydrogen production methods have been characterized using a color coding scheme proposed by Noussan et al. [9] to indicate their process design and associated GHG emissions. Grey hydrogen is defined as being created by fossil fuels, blue hydrogen is defined as being produced by combining grey hydrogen with carbon capture and storage (CCS), and green hydrogen is primarily produced by water electrolysis energized by renewable power. In this regard, the process of making hydrogen from hydrocarbons frequently results in the creation of syngas, which can be used as a feedstock or as a step in the process of creating pure hydrogen. Natural gas pyrolysis, coal gasification, steam methane reforming, and auto-thermal reforming are examples of industrial-scale techniques, among which the last two technologies are the most commercialized ones [10]. It is also worth noting that while previous studies have primarily focused on optimizing blue hydrogen production technologies such as reforming, there has been limited investigation into the impact of full utility integration, including compression and storage systems, on the overall efficiency and economics of hydrogen production. Therefore, in addition to advancing core production technologies through experimental and numerical studies, it is essential to highlight and analyze the role of these complementary systems in achieving a more accurate and holistic evaluation of blue hydrogen plant performance [11].
At the moment, the most popular technique for producing hydrogen is steam–methane reforming technology (SMR). This well-established method produces hydrogen from natural gas, LPG, refinery off-gases, and other sources [12]. When methane and steam are combined under 3 to 25 bar (g) and 750 to 1000 °C with a catalyst present, steam–methane reforming (SMR) produces hydrogen, carbon monoxide, and a negligible quantity of carbon dioxide. The complementary water–gas shift process then produces CO2 and hydrogen by reacting carbon monoxide and steam over a catalyst, which takes place at two stages: a high-temperature shift reaction (HTS) in the range of 300 to 500 °C) and a low-temperature shift reaction (LTS) working between 200 and 300 °C. Afterwards, the produced syngas undergoes purification into high quality hydrogen with 99.99 mol.% purity. A generalized block flow diagram for a hydrogen production unit utilizing steam–methane reforming is illustrated in Figure 1.
Auto-thermal reforming (ATR) is an alternate method that combines steam–methane reforming and partial oxidation of natural gas. Combusting part of the natural gas generates the heat required to facilitate the reaction of CH4 with steam and helps reduce the requirement for external reactor heating via a process furnace [13]. Accordingly, by combining exothermic and endothermic reactions, ATR efficiently utilizes the heat generated within the process, reducing the need for external heating. A generalized process flow diagram for a hydrogen production unit utilizing auto-thermal reforming technology is illustrated in Figure 2.
Since ATR requires less reaction external energy than other technologies, it performs better in environmental assessments and has a lower carbon footprint.
Numerous techno-economic studies have been conducted in the past to evaluate various aspects of these two hydrogen production methods. For instance, Oni et al. carried out a comparative economic and environmental evaluation of the production of hydrogen using SMR, ATR, and gas decomposition technologies [14]. Their results showed that blue H2 from auto-thermal reforming generated the lowest equivalent greenhouse gas emissions compared to others, while it had the highest cost of production. Also, it was estimated that depending on the production technology, the price of blue hydrogen can vary from USD 1.69 to USD 2.55 per kg of H2. Dara et. al. [15] compared several techniques for producing blue hydrogen, and auto-thermal reforming performed better in terms of thermal efficiency. It was revealed that the selling price of hydrogen should be adapted in accordance with the energy intensity requirements for carbon capture. Riemer et al. [16] also presented the discrepancy between estimates from the literature and real-world experience regarding the environmental effects of carbon capture units in the production of blue hydrogen. Their results showed that energy sources, consumption, and capture rate differ between studies, which significantly affects emissions. In 2025, Yoon et. al. analyzed integrated hydrogen liquefaction with autothermal reforming utilizing liquefied oxygen as a pre-coolant, which led to decreased specific energy consumption by 6.6% and an 11% reduction in the global warming impact of blue hydrogen production [17]. On the other hand, Canada also has great potential for blue hydrogen production. So, finding appropriate and customized design arrangements of different technologies becomes vital for optimum production. It is said that by 2050, Canada must address and overcome a number of economic, policy, technological, and infrastructure obstacles in order to achieve a net-zero economy. Canada has a natural advantage in this area due to its wealth of natural resources and the necessary technological capability [18]. For instance, Zhang et al. proposed using blue hydrogen to decarbonize heavy oil and oil sands operations in Canada, which would result in a 76% reduction in CO2 emissions [19].
Despite various available techno-economic studies for blue hydrogen production methods, the main focus remained on production technology development and analysis of design arrangements in main process units. In other words, the effects of compression and storage as well as utility units in H2 have not been elaborated well in terms of the environmental and economic aspects of plant production. This point highlights the significance of the greenfield approach, which comprises all associated utility units for process plant production. In this regard, this work provided a detailed analysis of a greenfield blue hydrogen plant to clarify the various direct and indirect aspects of hydrogen production. Given the wide range of hydrogen production methods and locales, production cost estimates vary widely. Thus, understanding the effects of proper carbon capture design arrangements based on current technologies becomes significant and is the core objective and contribution of this paper.
This study presents a comprehensive case study for a greenfield blue hydrogen plant in Estevan, Saskatchewan, Canada, a region with significant fossil fuel resources and emerging carbon management initiatives. Given the growing demand for low-carbon hydrogen as an alternative energy source, it is essential to analyze the entire production process, including both core hydrogen generation technologies and supporting utility systems. While previous research has primarily focused on optimizing the main reforming units, there has been limited investigation into the impact of complete utility integration, compression, and storage on overall hydrogen production efficiency and economics. This study uniquely fills this gap by conducting a detailed techno-economic and environmental analysis that considers the full energy, economic, and environmental footprint of hydrogen production in a realistic industrial setting. A key novelty of this work is its holistic approach, which evaluates both SMR and ATR technologies while incorporating essential utility systems such as air separation, refrigeration, CO2 compression, dehydration, and water treatment, all of which play a significant role in energy consumption and distribution among various units. To obtain accurate results across all these units, a comprehensive Aspen HYSYS simulation was conducted, enabling precise modeling of energy requirements, process interactions, and emissions. Furthermore, the study provides a detailed economic evaluation, including operating costs, revenue streams, and net present value (NPV), while assessing the sensitivity of hydrogen production costs to key economic variables. The environmental assessment reinforces the analysis by quantifying the Global Warming Potential (GWP) of each process, demonstrating the CO2 footprint reduction potential of ATR compared to SMR. By offering a real-world case study with a detailed, system-wide evaluation, this work serves as a good reference for designing and optimizing future blue hydrogen plants in regions with similar energy landscapes.

2. Materials and Methods

2.1. Site Location

A hydrogen production plant’s location should be chosen based on numerous significant direct and indirect considerations that affect both operational and environmental aspects as well as the plant’s energy efficiency. Given that methane reforming is a water-intensive process, proximity to a reliable water source is essential to ensure a consistent and sufficient supply. Also, suitable geological formations must be identified nearby for the secure storage of captured CO2 (such as depleted oil fields or deep saline aquifers). Moreover, anticipating prospective final users and market studies are crucial.
As discussed before, Saskatchewan is ideal for blue hydrogen production due to its abundant natural gas resources. Also, the province’s existing infrastructure and proximity to industrial markets support efficient hydrogen production and distribution. The Estevan region in the southeast of Saskatchewan (highlighted in Figure 3 and Figure 4) has been selected as one of the possible options for the province’s hydrogen industry development. As shown in Figure 3, the southeastern area of Saskatchewan has an extensive area of saline lands and also good sources of oil pools that are great options for CO2 underground storage and utilization in oil production enrichment as a co-product of hydrogen plants.
In this context, it is important to note that a CO2 underground storage project was previously completed at Aquistore in southeast Saskatchewan, which provides insight into the proper depth and thickness of ground layers for CCUS in that area. The Aquistore research project, which was managed by the Petroleum Technology Research Centre, was a component of SaskPower’s Boundary Dam Integrated Carbon Capture and Storage (CCS) Demonstration project. The carbon dioxide was transported almost 4 km to a newly drilled 3400 m deep injection well via an underground pipeline from Unit Three of the Boundary Dam coal-fired power station. Subsurface CO2 storage was monitored using an appropriately instrumented observation well located 150 m from the injection well and 3400 m below the surface storage of CO2 [21].
The Estevan region offers convenient access to natural gas feedstock and railway networks Also, it will be near future infrastructure for the efficient distribution of the produced hydrogen to end-users. Also, it is worth mentioning that hydrogen facilities require large amounts of water for the reforming process and cooling systems, making a reliable and sustainable water supply essential to maintain continuous operations. Meanwhile, insufficient water availability can lead to production disruptions and increased operational costs, while over-extraction can threaten local water resources, impacting ecosystems and community water demands. Knowing the state of the water sources and the Saskatchewan province’s drought forecast is essential in this respect. Figure 4 shows Saskatchewan’s risk map for 2023 and 2024, showing the province’s disparate drought risk levels [22,23]. Relatively speaking, Estevan is therefore an ideal site for building a hydrogen production facility that uses carbon capture and steam–methane reforming (SMR). Because Estevan is less likely to experience drought, its water supply is more reliable and stable.
Figure 4. Map of drought risk in Saskatchewan [22,23].
Figure 4. Map of drought risk in Saskatchewan [22,23].
Energies 18 03272 g004
Furthermore, snowmelt runoff water, which is impacted by the water content of the snowpack and the pace of melting, is another reliable indicator of water availability. Based on the Saskatchewan Water Security Agency report, Estevan is a suitable location for industrial activities because of its good runoff conditions [24,25]. According to its ability to maintain average runoff levels despite more variation within the province, water resources in the southeast are more reliable. By reducing the likelihood of production disruptions, this reliability encourages long-term industrial growth. This point can be observed in Figure 5. It can be seen that southeastern regions like Estevan have better water potential for new industrial activates, although all the above points need to be evaluated and confirmed by detail environmental analysis.
On the other hand, the capacity of and access to renewable energy sources can signify the superiority of plant locations selected for future energy integration and achieving net-zero emission plants due to the clean properties of renewable energies. Solar energy and geothermal energy are two of the clean energy sources that were once dependent on geographical factors. Figure 6 is the map of these energy potentials in Saskatchewan [26]. It illustrates that Estevan has relatively better potential in this regard, as represented by the gradients in the map. Accordingly, utilizing renewable energy sources like geothermal energy can significantly enhance the sustainability and efficiency of hydrogen production in terms of providing a constant and reliable heat source, reducing the dependence on fossil fuels for heating energy.
Overall, all of these elements combine in numerous ways to make Estevan an attractive choice for building a hydrogen production facility, ensuring both environmental responsibility and financial stability.

2.2. Feed Intake Conditions and Design Assumptions

The feedstock for this production plant is assumed to be delivered at moderate pressure and temperature, consisting primarily of light hydrocarbons such as methane and ethane, and complying with safe natural gas pipeline specifications. Additionally, plant capacities of 100 metric tons per day have been considered to facilitate the design of equipment in the process section. Reaction feed gas specifications are summarized in Table 1.
The raw water to the plant must be treated to meet demineralized water specifications for process steam. There are some well-known water sources surrounding Estevan, and the Souris River basin is one of them [28]. In this regard, water analysis from the Souris River has been considered as an approximation of surface water quality in the area. Regional surface water can be considered as mildly brackish. The water analysis is summarized in Table 2.

2.3. Process Description

Figure 7 illustrates the key components involved in the production of blue hydrogen. Blue hydrogen is produced from natural gas using steam–methane reforming (SMR) or auto-thermal reforming (ATR), followed by carbon capture and storage (CCS) to reduce carbon emissions. The process and utility units work together to ensure the efficient production of hydrogen and management of by-products like CO2. It is worth mentioning that the design and process development was conducted using software capabilities as much as possible, and in the case of lack of design modules, general rule of thumb and vendor’s best practices have been followed according to available data and guidelines in the literature.

2.3.1. Process Units

The process section comprises the following units:
  • Feed Compression: Compresses the feed gas (natural gas) to the required pressure for processing.
  • Hydrogen Production (Reaction Section): Involves the primary reaction (e.g., SMR or ATR) where natural gas reacts to produce hydrogen and carbon dioxide.
  • Syngas Carbon Capture: Separates hydrogen from the produced gas mixture, mainly from carbon dioxide, and includes utilizing amine absorption process technology.
  • H2 Purification: Further purifies the separated hydrogen to meet product specifications (purity of 99.99%). This unit mainly uses a complementary PSA unit.
  • H2 Storage: Stores the purified hydrogen before distribution or usage.
  • CO2 Compression and Dehydration: Compresses and dehydrates the separated CO2 for storage or transport.
  • CO2 Storage: Stores the captured CO2, often for subsequent utilization or sequestration.
The production of blue hydrogen begins with the Feed Compression unit, where natural gas is compressed to the required pressure before entering the reaction stage. In the Reaction Section, the compressed feed undergoes either steam–methane reforming (SMR) or auto-thermal reforming (ATR), converting natural gas into a mixture of hydrogen (H2) and carbon monoxide (CO). Then, in a complementary water gas shift reaction, additional hydrogen can be produced via conversion of CO into H2 when it is reacted with additional steam. Then, in the H2 and CO2 Separation Unit (Syngas Carbon Capture), the amine absorption process is utilized to capture impurities from hydrogen. Following this, the H2 Purification stage ensures the hydrogen meets the required purity standards (99.99%) by means of zeolite solid adsorbent in pressure swing adsorption package before it is compressed in the H2 Compression unit and stored in the H2 Storage facility. Simultaneously, the CO2 Compression and Dehydration unit prepares the captured CO2 from syngas by compressing and removing moisture before sending it to CO2 Storage for either sequestration or utilization.

2.3.2. Utility Unit

The utility section involves the following units:
  • Raw Water Treatment: Treats incoming raw water to meet the quality requirements for the plant, especially for steam and water heaters.
  • Co-Generation (Steam and Power): Produces steam and power for the plant’s operations.
  • Power Plant’s Flue Gas Carbon Capture: Comprises flue gas filtration and carbon capture from the co-generation burner’s stack utilizing DEA Amine absorption process.
  • Reformer’s Flue Gas Carbon Capture: Comprises flue gas treatment and carbon capture from reformer’s stack using DEA Amine absorption process.
  • Process Cooling Unit: Provides cooling requirements for various processes.
  • Wastewater Treatment: Manages and treats wastewater generated from the process.
  • Air Unit System: Provides oxygen for ATR reactor and necessary nitrogen for various processes and purging purposes via cryogenic distillation.
  • Flare System: Safely burns off flammable gases.
Supporting the process, the Raw Water Treatment unit purifies water for steam generation and heating applications. The Co-Generation (Steam and Power) unit supplies steam and electricity to sustain plant operations, integrating with the Post Combustion Carbon Capture system to capture CO2 from flue gases and optimize energy use. The Process Cooling Unit maintains the required operating temperatures across different sections, ensuring process efficiency. Additionally, the Air Unit System provides oxygen for the ATR reactor and nitrogen for purging and other process needs through cryogenic distillation. Raw water treatment is also considered to meet the quality requirements for the plant, especially for steam and water heaters by means of pre-treatment and reverse osmosis systems.

2.4. Process Design and Calculations

In this study, Aspen HYSYS version 12.1 was utilized for simulation, enabled a better understanding of the scale and conditions for each equipment unit. In this regard, the feed was defined as 88% methane and 11% ethane in the component list, and the Aspen acid gas property package was selected as the thermodynamic equation of state for solving the equations in the absorption section. Furthermore, it was assumed that the raw materials are only imported by pipeline. In the utility section, fuel gas with the same properties as the process feed gas has been considered.

2.5. Process Simulation Validation

The simulation methodology and results have been validated by comparing the results of the National Energy Technology Laboratory (NERL), United States Department of Energy report on blue hydrogen production assessment conducted in 2022 [29]. An iterative calibration approach proposed by Piscopo et al. [30] was also applied to align the simulation outputs with reference data for the targeted blue hydrogen production systems. In this regard, since the plant included multiple units, the authors tried to examine the trend of hydrogen fraction among the production units. As shown in Figure 8, the trend of hydrogen production was in good accordance with the previous work, with the deviation range between 1.9% and 2.7% at the same process conditions.
In addition, comparing the results for important equipment outlets like the reformer can be considered as another way of validating the implemented simulation methodology. The comparison, as illustrated in Figure 9, demonstrates a strong agreement between the simulated results and the benchmark data, particularly for key products such as hydrogen (H2), carbon monoxide (CO), and carbon dioxide (CO2). The close match in molar fractions confirms the accuracy of the model in predicting reformer performance, thereby validating the reliability of the proposed simulation approach for hydrogen production analysis.

2.6. Life Cycle Assessment

Life cycle assessment (LCA) is a systematic methodology for assessing the environmental consequences linked to a process, product, or service throughout its complete life cycle [31]. The goal of LCA in this study was to assess the environmental impact of hydrogen gas production with CO2 capture. In this study, the functional unit was considered to be the production of 1 kg of hydrogen gas. It was assumed that the raw materials are only imported by pipeline. Furthermore, as a conservative assumption, 2% of amine flow was considered a direct loss based on previous studies [32]. Thus, the inventory data for impact assessment was determined based on the above assumptions and simulation results for energy and material balance. Then, due to having some by-products like CO2 and N2, the subtraction method was used for estimating the environmental effects of producing 1 kg of hydrogen on the ReCiPe methodology, including various characterization models to calculate different impact categories for the analysis.

2.7. Economic Analysis

In this study, the Aspen Economic Analyzer was utilized to estimate the price of important equipment in order to assess the capital investment. Additionally, the costs of utilities and their associated consumption were collected. Also, the accuracy of this cost assessment was considered based on the American Association of Cost Engineers (AACE) Cost Estimate Classification System [33]. The accuracy of Class 5 estimates ranges from −50% to +100%, which was appropriate for the current project. All currencies are in USD. The economic assumptions are summarized in Table 3.

3. Results and Discussion

In this study, the authors compared two hydrogen production cases: steam–methane reforming (SMR) and auto-thermal reforming (ATR), focusing on their process configurations and utility requirements. The comparison was provided for both technologies, highlighting key operational differences and their implications for efficiency and energy consumption. Both SMR and ATR processes involved hydrocarbon feed conversion into syngas, followed by hydrogen separation and purification. The process began with feed gas compression to the required pressure before being introduced into the reformer. In SMR, the reformer utilized high-pressure steam and an external heat source to drive the endothermic reaction, whereas ATR combined partial oxidation with steam reforming within the reformer. The generated syngas then underwent high-temperature shift (HTS) and low-temperature shift (LTS) reactions to convert residual carbon monoxide into additional hydrogen and carbon dioxide. Following the shift reaction, the gas stream entered the absorption section, where CO2 was separated using an amine-based solvent, facilitating carbon capture. The hydrogen-rich stream was further purified using pressure swing adsorption (PSA) to meet product specifications. In ATR, the presence of the ASU enabled oxygen supply for partial oxidation, influencing process heat balance and reducing energy demand in the reformer noticeably, while its syngas carbon removal unit underwent a slight increase in the solvent regeneration part. Additionally, CO2 compression and dehydration units ensured the captured carbon from the syngas purification section and flue gas from post-combustion units were stored or utilized effectively.
This section presents a detailed analysis of these factors, incorporating operating parameters, energy demand, and the role of auxiliary units such as compression, separation, and purification systems. The insights gained from this comparison provide a basis for evaluating the feasibility and sustainability of each hydrogen production route.
In this regard, Table 4 summarizes the main operating parameters, which are compared with acceptable specification ranges in the literature.
The simulation results for the hydrogen production plant demonstrated strong alignment with typical values found in the literature, ensuring process reliability and efficiency. The hydrogen product quality of 99.99 mol.% matched the highest purity levels expected for industrial hydrogen applications, such as ammonia production, fuel cells, and refining processes. This high purity was essential to prevent catalyst poisoning in downstream applications. Additionally, the hydrogen product pressure of 400 bar fell within the acceptable range of 400–700 bar, making it suitable for storage, transport, and pipeline distribution without requiring additional compression in many cases.
The carbon capture section also showed favorable results, achieving a CO2 product purity of 98 mol.% through separation by the carbon capture and dehydration units. It surpassed the benchmark of >95 mol.%. This high purity indicated that the separation and purification process was effective, ensuring that captured CO2 met the standards for utilization in enhanced oil recovery (EOR) or geological storage. The CO2 product pressure of 100 bar was at the lower end of the 100–150 bar range, meaning it was already at a pressure suitable for transport but might have required additional compression for long-distance pipeline injection. The water content in the CO2 product pipeline was 2.7 lb/MMSCF, significantly lower than the upper limit of 7 lb/MMSCF. Keeping the moisture content low was crucial to prevent corrosion and hydrate formation in pipelines, ensuring the reliability of CO2 transportation infrastructure.
The reformer operating temperature of 923 °C was well within the optimal range of 800–1000 °C, supporting efficient methane conversion while avoiding excessive thermal stress that could have led to equipment degradation. The high-temperature shift (HTS) and low-temperature shift (LTS) reactors operated at 357 °C and 255 °C, respectively, both within their expected operational ranges. These temperatures were carefully selected to maximize carbon monoxide conversion into additional hydrogen while preventing unwanted side reactions or catalyst deactivation.
The steam-to-methane ratio of 3.4 was within the expected range of 2.5–5, balancing hydrogen yield and process efficiency. A lower ratio could have led to incomplete methane conversion, while a higher ratio would have increased energy consumption without significant hydrogen yield improvement. The energy demand for DEA amine regeneration was 3.8 MJ/kg_CO2, fitting within the 2.7–4.2 MJ/kg_CO2 range, which confirmed that the solvent regeneration process operated efficiently. Maintaining energy consumption within this range ensured that CO2 capture remained cost-effective while still achieving high removal efficiency. The DEA amine concentration at 35 mass% enhanced CO2 absorption capacity and reduced solvent circulation rates, leading to lower energy consumption.
For the dehydration system, the TEG-to-water ratio of 3.1 gallon_TEG/lb_water was well within the acceptable range of 2–6, allowing effective moisture removal from the gas stream. Proper dehydration was necessary to prevent corrosion and hydrate formation in downstream equipment. The TEG concentration of 98 mass% aligned with the typical range, ensuring high dehydration efficiency while preventing excessive solvent degradation. Finally, the TEG regenerator reboiler temperature was 204 °C, safely below the 207 °C threshold, ensuring efficient solvent regeneration without risking thermal degradation, which could have reduced system performance over time. Overall, these specifications confirmed that the process operated within industry standards and in an optimum range, which enabled the authors to elaborate the effects of SMR and ATR technologies for a greenfield hydrogen production plant.
Accordingly, Figure 10 compares the energy consumption of SMR and ATR technologies across various units of the blue hydrogen plant, including their related downstream process units, such as syngas carbon removal, as well as the associated utility units.
The thermal energy consumption breakdown for SMR and ATR highlights key differences in their process efficiencies and carbon capture requirements. The hydrogen production stage in ATR requires significantly less thermal energy (22 MJ/kg_H2) compared to SMR (36 MJ/kg_H2) due to the partial oxidation step in ATR, which supplies additional heat internally, reducing the external fuel demand. In contrast, syngas carbon capture and hydrogen purification require slightly more energy in ATR than in SMR because ATR produces a syngas with a higher CO2 concentration, necessitating more intensive separation efforts. Meanwhile, for reformer flue gas CCU, ATR consumed 72% less energy, as ATR does not require external combustion in a reformer furnace, leading to significantly lower flue gas emissions. Similarly, power plant flue gas CCU showed a 9% reduction in ATR, reflecting its lower overall combustion-related CO2 emissions. Lastly, the Air Separation Unit (ASU) is an exclusive source of energy demand in ATR (2 MJ/kg) due to its oxygen requirement for auto-thermal reforming, which is absent in SMR. The overall trend suggests that ATR achieves better thermal efficiency with lower flue gas-related emissions but requires additional energy for syngas carbon capture and oxygen supply.
Figure 11 highlights key differences in electricity demand between SMR and ATR. The total electricity consumption in ATR was 19.5% higher than that of SMR (12.15 kWh/kg vs. 10.17 kWh/kg), primarily due to additional units required in ATR. Meanwhile, the fuel gas system, a major contributor to power demand, consumed 9% less electricity in ATR (5.42 kWh/kg vs. 5.97 kWh/kg in SMR), due to differences in fuel usage efficiency. However, ATR requires an air separation unit (ASU), which significantly increased electricity consumption in ATR to 1.17 kWh/kg compared to 0.13 kWh/kg in SMR, marking a ninefold increase. Additionally, refrigeration energy demand in ATR was 3.5 times higher than in SMR (2.06 kWh/kg vs. 0.58 kWh/kg), due to the need for cooling in oxygen liquefaction and cryogenic processes. For carbon capture, ATR showed 58% lower electricity demand for reformer flue gas CCU (0.05 kWh/kg vs. 0.12 kWh/kg in SMR), reflecting its lower flue gas emissions. Power plant flue gas CCU and syngas CCU andH2 purification had minor variations, with ATR being slightly higher by 18% for syngas CCU and 6% lower for power plant CCU. Hydrogen compression, water treatment, and CO2 dehydration showed negligible differences. Overall, ATR’s increased power demand is mainly due to ASU and refrigeration, while SMR has a higher reformer-related energy demand.
For a greenfield hydrogen plant with a 100 MTD capacity, converting energy demand into barrels of oil equivalent (BOE) provided a standardized comparison of heat and electricity consumption, offering a clearer assessment of overall energy efficiency. As shown in Figure 12, the total energy demand for ATR was 93.89 BOE, which was 8.4% lower than SMR’s 102.50 BOE. The most significant reduction was observed in hydrogen production, where ATR consumed noticeably less energy due to its exothermic partial oxidation process, reducing the need for external heat. However, ATR required 4.44 BOE for ASU operation. Additionally, ATR consumed 3.5 times more energy for refrigeration, reflecting its reliance on cryogenic air separation for oxygen supply. ATR also exhibited a 68% lower energy demand for reformer flue gas CCU (2.49 BOE vs. 7.98 BOE) and an 8% reduction in the fuel gas system demand, improving fuel efficiency. Meanwhile, syngas CCU and H2 purification required 10% more energy in ATR. Other sections, including hydrogen compression, power plant flue gas CCU, and CO2 dehydration, showed only minor variations. Overall, ATR’s lower total energy demand, despite its higher electricity consumption, suggests a more efficient system when integrated with a low-carbon power source.
The economic analysis of the SMR and ATR hydrogen production plants revealed key differences in capital and operating costs, profitability, and hydrogen production costs. As shown in Figure 13, ATR required a higher total equipment cost of USD 154.45 million, which was 13.6% more than the USD 135.94 million for SMR. The total capital investment for ATR reached USD 625.52 million, 13.6% higher than SMR’s USD 550.55 million. Despite the higher upfront costs, ATR benefited from lower annual operating expenses, with a total utility cost of USD 43.79 million, 10.9% lower than SMR’s USD 49.14 million. Feedstock costs remained similar, with ATR requiring only 1.2% more than SMR, while the annualized adsorbent cost remained constant at USD 3.56 million for both. As a result, ATR had a 5.6% lower total operating cost (USD 83.07 million vs. USD 88.01 million). In addition, ATR’s total revenue was USD 136.65 million, slightly lower than SMR’s USD 138.55 million, due to a 5.8% decrease in CO2 sales (USD 31.05 million vs. USD 32.95 million). The levelized cost of hydrogen (LCOE) was slightly lower for ATR at USD 3.28/kg, compared to USD 3.33/kg for SMR, highlighting its cost efficiency in production. From an investment perspective, the Net Present Value (NPV) of SMR was USD 329.38 million, 7.2% higher than ATR’s USD 307.40 million, suggesting a faster return on investment.
On the other hand, the authors tried to conduct sensitivity analysis for various economic aspects. Figure 14 illustrates how the price of natural gas feedstock was examined in relation to the net present value (NPV) in SMR and ATR scenarios. Both systems’ NPV dramatically dropped as feed natural gas prices rose from USD 4.5/kg to USD 13.5/kg, demonstrating how sensitive economic performance is to feedstock prices. Furthermore, compared to Case I, Case II is more susceptible to changes in feedstock costs, particularly when it hits negative net present value (NPV) at 13.5/GJ of natural gas.
The effect of the hydrogen selling price on the NPV for both scenarios is examined in Figure 15. The net present value (NPV) for both scenarios changed dramatically, going from negative to extremely positive values, as the selling price of hydrogen rose from USD 2/kg to USD 6/kg. This suggests that raising the selling price of hydrogen is crucial to the two facilities’ economic survival. Also, both scenarios saw a change from negative to positive NPV at roughly USD 3.3/kg. Both scenarios ran at a loss at the lower selling price of USD 2/kg, with SMR displaying a marginally lower negative net present value than ATR. As the price increased beyond the break-even point, SMR consistently outperformed ATR.
On the other hand, the sensitivity analysis shown in Figure 16 evaluates the impact of the CO2 selling price on the net present value (NPV) for both SMR and ATR hydrogen production cases for the CO2 selling price, ranging from USD 0.05/kg to USD 0.15/kg. As the CO2 price increases, both SMR and ATR experience a significant rise in NPV. This trend highlights the economic benefit of monetizing captured CO2, which enhances project profitability.
The tornado plot illustrated in Figure 17 illustrates the sensitivity of net present value (NPV) to variations in different economic parameters for the hydrogen production projects. The horizontal bars represent the range of change in NPV when each parameter varies within its expected limits, with the longest bars indicating the most influential factors. The hydrogen selling price has the most significant impact on NPV, meaning that fluctuations in market prices for hydrogen strongly affect project profitability. A higher hydrogen price leads to substantial increases in NPV, while a lower price drastically reduces it. Plant operating cost (OPEX) and natural gas feedstock cost also have a major influence, as these are key expenses in hydrogen production. A rise in either of these costs lowers NPV, whereas cost reductions improve profitability. Project lifetime and CO2 selling price have moderate effects, indicating that longer operational periods and higher CO2 revenues enhance the project’s financial performance, but not as dramatically as hydrogen price or OPEX. Plant capital cost (CAPEX) shows a noticeable but smaller effect, suggesting that while initial investment is important, operational factors dominate long-term profitability. Lastly, zeolite adsorbent cost has a minimal impact on NPV, implying that variations in its cost do not significantly affect overall project economics.
The tornado plot in Figure 17 illustrated the sensitivity of Net Present Value (NPV) to key economic parameters in the blue hydrogen project. The analysis was conducted by varying each parameter within a defined range: ±10%, ±25%, and ±50%, ensuring a balanced evaluation of potential fluctuations in cost and revenue factors. In the figure, red bars represent the negative deviation (a decrease from the base value), while blue bars indicate the positive deviation (an increase from the base value) for each parameter’s impact on NPV. Among these, hydrogen selling price remains the most influential factor, exhibiting a wide sensitivity range from −251% to +251%. This underscores its critical role in determining project feasibility, as fluctuations in market pricing can substantially impact overall profitability. Plant operating costs (OPEX) emerge as another significant driver, with NPV variations up to −190% and +190%. Similarly, natural gas feedstock cost plays a crucial role, demonstrating a notable impact ranging from −181% to +181%, reinforcing its position as a major cost driver in hydrogen production. In addition, changes in parameters like project lifetime, CO2 selling price, and capital cost showed almost similar effects on project cost. Meanwhile, zeolite adsorbent cost remained the least sensitive parameter, influencing NPV only within a narrow range of −10% to +10%. This suggests that variations in this material’s cost have a minimal impact on overall project economics. In summary, the study shows that major cost contributors (OPEX and natural gas feedstock) and revenue-related factors (the selling prices of hydrogen and CO2) have the biggest effects on NPV.
On the other hand, incorporating national policy incentives is essential for a comprehensive evaluation of hydrogen production economics, particularly in the context of emerging low-carbon technologies. Governmental support mechanisms can substantially influence the financial viability and market competitiveness of blue hydrogen projects [44]. In this regard, to enhance the techno-economic evaluation of blue hydrogen production, national incentive structures were incorporated into the analysis. In Canada, the Clean Hydrogen Investment Tax Credit (ITC) provides up to a 40% credit on eligible capital expenditures for hydrogen production processes with a carbon intensity (CI) below 0.45 kg CO2 e/kg H2. Assuming the modeled process achieves this threshold, the levelized cost of hydrogen (LCOH) could be reduced from approximately USD 3.30/kg to an estimated USD 2.64/kg, based on the relative contribution of capital cost to the overall hydrogen production cost. These incentives significantly improve project economics and demonstrate the critical role of policy frameworks in enhancing the competitiveness of low-carbon hydrogen technologies.
In addition, the feasibility of large-scale hydrogen production depends on site-specific operational risks and mitigation strategies. While geological suitability for CO2 storage and preliminary water availability have been identified in the Estevan region, explicit quantification of water consumption rates for SMR and ATR processes is necessary. Under projected drought scenarios, reduced water availability may necessitate supplementary water treatment or desalination technologies, thereby increasing operational expenditures (OPEX). For instance, integration of reverse osmosis desalination under water-scarce conditions could elevate utility costs by an estimated 5–10%.
Regarding the environmental analysis results for the greenfield blue hydrogen plant shown in Figure 18, the Global Warming Potential (GWP) values of 3.44 for steam–methane reforming (SMR) and 3.05 for auto-thermal reforming (ATR) represent the carbon footprints of producing 1 kg of hydrogen via each method. The GWP is a measure of the total greenhouse gas emissions, expressed as CO2-equivalents, associated with hydrogen production. As explained in the energy results, SMR and ATR are processes for hydrogen production from natural gas (methane), but they differ significantly in how they operate, leading to variations in their environmental impact. ATR’s inherent efficiency in utilizing natural gas and minimizing combustion emissions results in a lower overall carbon footprint.
While the analysis considers direct emissions and on-site CO2 capture, the broader climate impact of blue hydrogen is highly sensitive to upstream methane leakage in the natural gas supply chain. Maintaining methane leakage rates below 1.5% is critical to preserving the environmental benefits of blue hydrogen [44]. Incorporating methane leakage into the assessment results in an approximate increase in total GWP by up to 29%. These findings underscore the importance of accounting for upstream methane emissions and implementing stringent mitigation measures to ensure the climate effectiveness of blue hydrogen pathways.
Apart from technological and financial viability, the creation of blue hydrogen infrastructure needs to be analyzed in the context of larger social and policy structures. In order to make low-carbon hydrogen pathways more competitive, carbon pricing policies—such as carbon taxation or cap-and-trade schemes—are essential. In comparison to the use of fossil fuels without any reduction, blue hydrogen is much more economically attractive under Canada’s federal carbon pricing framework. Furthermore, social factors like land use concerns, environmental equity, and public perceptions of the safety of CO2 storage all have an impact on the success of large-scale hydrogen deployment, especially in areas with remnant fossil fuel infrastructure. Policy mechanisms must therefore address not only financial incentives but also public engagement, labor transition strategies, and transparent environmental assessment processes to ensure social license to operate.

4. Conclusions

The transition toward hydrogen as a clean energy carrier is critical for reducing carbon emissions and meeting global sustainability goals. Hydrogen offers a high energy density, versatile applications, and the potential for low-carbon production when integrated with carbon capture or renewable energy sources. However, achieving cost-effective and energy-efficient hydrogen production remains a challenge, especially for large-scale greenfield plants where all infrastructure, utilities, and supporting systems must be designed from scratch. A greenfield hydrogen plant requires extensive consideration of utilities such as steam networks, refrigeration systems, air separation units (ASU), and flue gas treatment, all of which directly affect energy efficiency, operational costs, and environmental performance. Understanding these interdependencies is essential for optimizing hydrogen production pathways and selecting the most viable process.
This study compared steam–methane reforming (SMR) and auto-thermal reforming (ATR) for a 100 MTD greenfield blue hydrogen production plant, analyzing their energy, economic, and environmental performance. The total energy consumption, expressed in barrels of oil equivalent (BOE), showed that ATR required 93.89 BOE, which was 8.4% lower than the 102.50 BOE for SMR. This reduction was due to ATR’s lower hydrogen production energy demand (15.62 BOE vs. 25.04 BOE in SMR) and improved carbon capture in reformer flue gas (2.49 BOE vs. 7.98 BOE in SMR). However, ATR required additional energy in ASU and refrigeration systems due to its oxygen-enriched reformer design.
Regarding the economic perspective in the greenfield plant, ATR had lower total operating costs due to reduced fuel gas demand, resulting in a slightly lower hydrogen production cost of USD 3.28/kg compared to USD 3.33/kg for SMR due to higher capital cost. The sensitivity analysis further highlighted that hydrogen selling price, operating costs, and feedstock price were the most influential parameters on project feasibility.
From an environmental standpoint, ATR demonstrated lower CO2 emissions, with a Global Warming Potential (GWP) of 3.05, compared to 3.44 for SMR, due to enhanced CO2 capture efficiency and reduced emissions in the reforming stage. This suggests that ATR is a more environmentally favorable option, particularly in scenarios where carbon regulations and emission reduction policies are strict.
For future research, energy optimization within steam networks, ASU, and refrigeration systems should be explored to reduce energy consumption and improve efficiency. Additionally, alternative hydrogen production methods, such as biomass gasification or water electrolysis with renewable energy, should be evaluated for large-scale implementation. The integration of advanced carbon capture technologies, including sorption-enhanced reforming or cryogenic separation, could further enhance CO2 capture rates and improve economic viability. Finally, conducting detailed site-specific environmental analysis, including a full life cycle assessment (LCA), would provide a more comprehensive understanding of the long-term sustainability of SMR and ATR technologies. Future work will aim to integrate full hydrogen supply chain costs—including compression, storage, transportation, and distribution—into the techno-economic model to enable a more comprehensive assessment of costs from production to end use.

Author Contributions

Conceptualization, H.I.; methodology, M.S. and H.I.; investigation M.S.; data curation, M.S.; software, M.S.; validation, M.S. and H.I.; writing—original draft, M.S.; writing—review and editing, H.I.; visualization, M.S.; supervision, H.I.; funding acquisition, H.I.; resources, H.I.; project administration, H.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Mitacs Accelerate (IT 38210), Petroleum Technology Research Center (PTRC), the Natural Sciences and Engineering Research Council of Canada (NSERC DG: RGPIN-2024-04760), Canada Foundation for Innovation (CFI JELF: 37758). The authors’ opinions are their own, not necessarily those of our research and funding partners.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors would like to acknowledge the University of Regina and Clean Energy Technologies Research Institute (CETRI) for granting them access to their research facilities.

Conflicts of Interest

The authors declare no competing interests.

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Figure 1. Hydrogen production via steam–methane reforming [12].
Figure 1. Hydrogen production via steam–methane reforming [12].
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Figure 2. Hydrogen production via auto-thermal reforming unit [12].
Figure 2. Hydrogen production via auto-thermal reforming unit [12].
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Figure 3. Resource map of Saskatchewan Province 2023 [20].
Figure 3. Resource map of Saskatchewan Province 2023 [20].
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Figure 5. Map of spring runoff water in Saskatchewan in March 2023 and 2024 [24,25].
Figure 5. Map of spring runoff water in Saskatchewan in March 2023 and 2024 [24,25].
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Figure 6. (a) Solar energy and (b) geothermal energy potential in central Canada [26].
Figure 6. (a) Solar energy and (b) geothermal energy potential in central Canada [26].
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Figure 7. Block flow diagram for blue hydrogen plant including process and utility units.
Figure 7. Block flow diagram for blue hydrogen plant including process and utility units.
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Figure 8. Process simulation validation for H2 production stages of the process.
Figure 8. Process simulation validation for H2 production stages of the process.
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Figure 9. Process simulation validation for reformer section.
Figure 9. Process simulation validation for reformer section.
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Figure 10. Thermal energy demand comparison between SMR and ATR in greenfield plant (MJ/kg_H2).
Figure 10. Thermal energy demand comparison between SMR and ATR in greenfield plant (MJ/kg_H2).
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Figure 11. Comparison of electricity demand per kg of H2 between SMR and ATR in greenfield plant.
Figure 11. Comparison of electricity demand per kg of H2 between SMR and ATR in greenfield plant.
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Figure 12. Overall energy consumption for 100 MTD greenfield blue hydrogen plant.
Figure 12. Overall energy consumption for 100 MTD greenfield blue hydrogen plant.
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Figure 13. Comparison of total equipment cost for different cases at 100 MTD plant capacity.
Figure 13. Comparison of total equipment cost for different cases at 100 MTD plant capacity.
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Figure 14. Effect of natural gas price on net present value.
Figure 14. Effect of natural gas price on net present value.
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Figure 15. Effect of hydrogen selling price on net present value.
Figure 15. Effect of hydrogen selling price on net present value.
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Figure 16. Effect of carbon dioxide selling price on net present value.
Figure 16. Effect of carbon dioxide selling price on net present value.
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Figure 17. Tornado plot for effect of economic parameters.
Figure 17. Tornado plot for effect of economic parameters.
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Figure 18. Equivalent emissions for the production of 1 kg of hydrogen.
Figure 18. Equivalent emissions for the production of 1 kg of hydrogen.
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Table 1. Summary of feed gas specifications [27].
Table 1. Summary of feed gas specifications [27].
ParameterUnit of MeasureValue
Flow ratekg/h10,000
Temperature°C50
Pressurebar2.5
Methane mole%%88.87
Ethane mole%%11.11
CO2 mole%%0.02
Sulfur Contentppmv4
Water Contentlb/mmscf2
Table 2. Souris River water analysis [28].
Table 2. Souris River water analysis [28].
ParameterUnitAverage Range
Total Dissolved Solids (TDS)mg/L680~1448
Sulfatemg/L209~728
Sodiummg/L54~228
Phosphorusmg/L0.16~0.22
Ironmg/L0.2~0.7
Total Suspended Solids (TSS)mg/L25~160
Dissolved Oxygen (DO) mg/L10~25
Table 3. Summary of economic variables [32].
Table 3. Summary of economic variables [32].
ParameterValue
Plant life (year)25
Operating period (Days/year)330
Income tax (%)20%
Inflation rate (%)3%
Feed gas cost (USD/GJ)9
Zeolite adsorbent cost (USD/kg)2
H2 selling price (USD/kgH2)4
CO2 selling price (USD/kg)0.1
Lang factor4.74
Table 4. Summary of important operating specifications.
Table 4. Summary of important operating specifications.
Process ParameterUnitCurrent WorkSpecification in Literature
Hydrogen product quality mol.%99.9999.99 [34]
Hydrogen product pressurebar400350~700 [35]
CO2 product quality (captured)mol.%98>95 [36]
CO2 product pressurebar100100~150 [37]
Water content in CO2 product pipelinelb/MMSCF2.7<7 [38]
Reformer operating temperature °C923800–1000 [12]
HTS operating temperature°C357300~450 [12]
LTS operating temperature°C255200~300 [12]
Steam to methane ratio-3.42.5~5 [39]
Energy for DEA amine regenerationMJ/kg_CO23.82.7~4.2 [40]
DEA amine concentrationmass%3525~40 [41]
TEG to water ratiogallon/lb3.12~6 [42]
TEG concentrationmass%9897~99 [42]
TEG regenerator reboiler temperature°C204<207 [43]
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Sajjadi, M.; Ibrahim, H. Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods. Energies 2025, 18, 3272. https://doi.org/10.3390/en18133272

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Sajjadi M, Ibrahim H. Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods. Energies. 2025; 18(13):3272. https://doi.org/10.3390/en18133272

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Sajjadi, Mohammad, and Hussameldin Ibrahim. 2025. "Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods" Energies 18, no. 13: 3272. https://doi.org/10.3390/en18133272

APA Style

Sajjadi, M., & Ibrahim, H. (2025). Case Study of a Greenfield Blue Hydrogen Plant: A Comparative Analysis of Production Methods. Energies, 18(13), 3272. https://doi.org/10.3390/en18133272

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