Replace Fossil Fuels Research Articles

Assessing the eco-environmental aspects of fossil fuels-based units substitution of Point Aconi thermal power plant by green-based energies: a case study of Canada

AbstractCanada possesses significant potential in harnessing renewable energy from its vast and diverse geography, which can generate clean electricity. This paper presents a model that replaces fossil fuels used in a proposed thermal power plant in Point Aconi, Nova Scotia, with photovoltaic and wind turbine units based on the region’s climate conditions. The research results are based on evaluating multiple thermal power plants worldwide and examining various wind turbines and PV panels from different companies to ensure accuracy. The chosen units that best suit the location’s geographical and biological conditions, transmission, and operation costs demonstrate that the power plant currently consumes approximately 47 tons of coal and petroleum coke per hour. Replacing these materials with the proposed green units makes it possible to reduce environmental pollution by eliminating almost 165 tons of CO2 and other pollutants per hour while increasing the plant’s efficiency and independence from fossil fuel price variations. The presented structure’s ROI is approximately 20 years, which is reasonable compared to the economic and environmental benefits of utilizing such a structure and converting the thermal power plant to green units.

The impact of photovoltaic self-consumption on the daily electricity demand in Spain: Definition of a model to estimate it

IntroductionA radical shift in energy production is underway worldwide, replacing fossil fuels with renewable sources and causing structural changes in power generation systems. Problem statementPhotovoltaic installations for self-consumption have experienced a steep increase in recent years. They have reached a significant installed capacity to cause a noticeable reduction in consumption from the national grid, which can cause serious management problems. ObjectivesIn this work, the evolution of the Spanish demand in the last years is analyzed to identify the influence of self-consumption in the overall demand. In addition, a mathematical model is defined to estimate this influence. MethodologyThe demand curves of equivalent days in years with high and low installed self-consumption photovoltaic systems have been compared. Then, an estimation of the electricity generated with this source is proposed, with a mathematical model that takes into account data on solar radiation, installed photovoltaic power for self-consumption and other relevant factors. ResultsThe analysis of the demand has shown a significant reduction of the electricity demand in daylight hours when the number of self-consumption photovoltaic systems increases. Moreover, the proposed model has been able to provide an estimation of the electricity generated with this source. The addition of these estimates to the actual consumption curves of years with a high number of self-consumption installations gives profiles close to those obtained when self-consumption was low. RecommendationNew storage systems need to be implemented and grid management need to be improved to take advantage of the surpluses produced by photovoltaic systems.

Predictive modeling of engine performance and emissions for castor oil ethyl ester biodiesel blends: A Gaussian process regression approach

Replacing fossil fuels with cleaner alternatives is essential. This study examines a biodiesel-diesel blend containing 8 % castor oil ethyl ester (COEE8) and its impact on engine performance, combustion characteristics, and exhaust emissions. A single-cylinder diesel engine was tested under consistent conditions: an engine speed of 1500 rpm, varying engine loads (25 %, 50 %, and 75 % of maximum torque), and compression ratios (16, 17, and 18). Engine-out emissions were measured with Testo flue gas analyzers. The results showed that COEE8 combustion significantly decreased HC, CO, and smoke emissions compared to diesel fuel but increased NOx emissions. Additionally, COEE8 exhibited comparable brake-specific fuel consumption (BSFC) and brake thermal efficiency (BTE) to diesel fuel. The optimal engine operating parameters were determined using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), a multi-objective optimization technique. Due to limited data availability, Gaussian Process Regression (GPR), a machine learning algorithm for small datasets, modeled the multi-objective functions with compression ratio and engine load as input variables. The GPR model demonstrated high prediction performance across all output parameters (BSFC, BTE, HC, smoke, NOx, and CO) for both diesel and COEE8 fuels, with average coefficients of determination (R2) of 0.9896 and 0.9953, respectively, indicating a strong correlation between predicted and actual values. The mean absolute percentage error (MAPE) was also low, averaging 3.11 % and 2.26 %, respectively, demonstrating the model's accuracy. Using the GPR model, the NSGA-II identified the optimal trade-off between NOx and smoke index for both diesel and COEE8 fuels. The optimal compression ratio was 16 for both fuels, while the optimal engine load varied, ranging from 20 % to 30 % for COEE8 and around 30 % (almost 40 %) for diesel fuel.

Nuclear Logging in Geological Probing for a Low-Carbon Energy Future – A New Frontier?

This paper examines the potential of nuclear logging techniques, ubiquitous in the petroleum industry, to extract geological information needed to support the transition to the low-carbon energy future being envisioned to replace fossil fuels and explores the technological advances needed. Assessment to date, using Monte Carlo modeling and available measurements shows promise in (1) monitoring injected CO2 for carbon capture and sequestration (CCS) to mitigate climate change, (2) assessing sites to bury high-level waste to support nuclear power generation and later monitor buried radioactive waste, and (3) in geothermal, a renewable option. For each case, standard techniques, while promising, also show technological gaps. Additionally, two postulated low-carbon areas supporting renewable energy generation are briefly examined—downhole quantification of strategic minerals and prediction and detection of naturally occurring hydrogen in the geology. Three related technology areas are also examined: transition from the current dual-track philosophy of nuclear logging tool design to a compact, more universally applicable advanced accelerator-based multiple-parameter tool concept, incorporation of artificial intelligence-guided physical health management systems to minimize generator failure, and advances in generation/detection hardware and software. Software advances would include codes with dynamic visualization and improved nuclear data libraries to design, calibrate, and assess tools, especially to provide a priori space-time profiles of attendant multiple radiation types, which would arise in the novel systems being postulated. Two exotic concepts, recently suggested also for downhole use, associate-particle imaging to monitor casing integrity of wells storing methane and hydrogen and muon-based deep density probing, are briefly explored.

Underground hydrogen storage: The techno-economic perspective

The changes in the energy sector after the Paris agreement and the establishment of the Green Deal, pressed the governments to embrace new measures to reduce greenhouse gas emissions. Among them, is the replacement of fossil fuels by renewable energy sources or carbon-neutral alternative means, such as green hydrogen. As the European Commission approved green hydrogen as a clean fuel, the interest in investments and dedicated action plans related to its production and storage has significantly increased. Hydrogen storage is feasible in aboveground infrastructures as well as in underground constructions. Proper geological environments for underground hydrogen storage are porous media and rock cavities. Porous media are classified into depleted hydrocarbon reservoirs and aquifers, while rock cavities are subdivided into hard rock caverns, salt caverns, and abandoned mines. Depending on the storage option, various technological requirements are mandatory, influencing the required capital cost. Although the selection of the optimum storage technology is site depending, the techno-economical appraisal of the available underground storage options featured the porous media as the most economically attractive option. Depleted hydrocarbon reservoirs were of high interest as site characterisation and cavern mining are omitted due to pre-existing infrastructure, followed by aquifers, where hydrogen storage requires a much simpler construction. Research on data analytics and machine learning tools will open avenues for consolidated knowledge of geological storage technologies.

Design and Effect Evaluation of a Hydrogen–Natural Gas Mixing Device at Jingbian Compressor Station

Abstract Hydrogen gas is an environmentally friendly alternative energy source with zero emissions, making it highly valuable for replacing fossil fuels and reducing carbon emissions. One effective method of transporting hydrogen gas is by injecting it into existing natural gas pipelines. In this research, we focus on the Jingbian compressor station. This station is used for hydrogenation, blending hydrogen with the natural gas flowing through the pipelines. We propose a suitable process for hydrogen blending and design a mixing device to facilitate this process. To evaluate the mixing effect of the blended gas, we conducted numerical simulations to analyze the velocity and concentration distribution along the continuous section of the hydrogen blending pipeline. The results indicated that achieving a hydrogen branch length of 1/2 the diameter of the natural gas main pipe and a hydrogen flowrate of 10% resulted in a nonuniformity of hydrogen concentration at L = 30D of less than 0.05. Furthermore, when the hydrogen concentration was set at 3%, 10%, and 30%, the hydrogen concentration in the cross section of the pipe gradually approached the expected concentration as the mixed gas flowed. It is worth noting that during transportation of hydrogen-containing natural gas to the outlet, the velocity distribution on the cross section remained asymmetric, potentially leading to measurement errors. However, the use of a flow conditioner resulted in a further reduction in hydrogen nonuniformity and minimized velocity fluctuations, resulting in a small and uniformly distributed flow, which is advantageous for accurate measurement and transportation purposes.

Should the European Union prioritize renewable energy or tackle energy poverty?

Energy poverty is a type of poverty that is not solely based on monetary factors. It has recently been highlighted in the literature alongside the acknowledgment of energy as a key component of sustainable economic growth. Many studies focus on replacing fossil fuels with renewable energy sources to address this issue. This study aims to analyze the impact of renewable energy consumption on energy poverty in the European Union from 1996 to 2020. The study incorporates a control variable, developed using Principal Component Analysis (PCA), to account for economic development. Second-generation panel data tests and the Common Correlated Effects Model are utilized to assess the short and long-term effects. The findings indicate that the control variable had no significant impact on energy poverty during the relevant period. Still, renewable energy consumption had both positive effects in developed countries and negative effects in transition economies. According to the results, energy poverty measures remain a key priority in most of Europe's energy policies. This highlights the significance of ensuring that the underprivileged section of society has access to affordable and sustainable energy sources.

3E analyses of different blend fuels in an internal combustion engine

AbstractIn response to the escalating emphasis on sustainability across diverse sectors, this study addresses the imperative to combat environmental degradation through conscientious development. The primary focus is on assessing the feasibility of replacing fossil fuels with renewable alternatives in internal combustion engines (ICEs) equipped with direct fuel injection. The research employs energy and exergy analyses, coupled with economic analysis, to comprehensively evaluate the performance of fuels and blends. Applying the Lotus Engine software, computational analyses are conducted, taking into account the specific geometry of the engine. Simulations explore different λ‐factors to identify optimal performance configurations for each fuel or blend. Noteworthy outcomes reveal that blends featuring green hydrogen yield remarkable improvements, showing high torque (max. +11.5%), power (max. +14.35%), thermal efficiency (max. +3%), and exergy efficiency (max. +21.56%). These blends also demonstrate reduced operating costs (max. −10%), although with higher exergy losses, indicating areas for potential enhancement. Conversely, fuels containing ethanol show intermediate values between the blends and pure fuels. Consequently, this study effectively establishes the significance of these fuels in ICEs, supported by comprehensive energy, exergy, and economic analyses. The findings underscore the promising potential of renewable fuels as viable alternatives to fossil fuels, marking a substantial stride towards sustainable energy solutions and environmental preservation.

Synthetic natural gas in the private heating sector in Germany: match or mismatch between production costs and consumer willingness to pay?

BackgroundThe residential heating sector in many European countries requires a fundamental transformation if it is to become climate neutral. Besides the introduction of efficiency measures and updating heating systems, scholars and practitioners consider replacing fossil fuels in existing heating systems a viable approach. Drop-in renewable gases such as biomethane and synthetic natural gas (SNG) cause considerably fewer carbon dioxide (CO2) emissions than natural gas and can be used in natural gas boilers, the dominant heating system in many European countries. To move the ongoing debate around e-fuels forward, this study reports on a Discrete Choice Experiment with 512 respondents in Germany that analyzed consumer preferences and willingness to pay (WTP) for SNG. I build on these insights by comparing WTP to the production costs, making evidence-based decision-making possible.ResultsThe results show that consumers prefer renewable gases over natural gas. Comparing the two types of renewable gases, SNG and biomethane, reveals that consumers clearly favor the latter despite the criticism it has come under in the last 10–15 years. Consumers show a surprisingly high WTP for increasing shares of SNG, with premia of 40 to almost 70% over a natural gas-based tariff. Comparing production costs to the WTP reveals that only tariffs with small shares of SNG (5% and 10%) can be offered at cost-covering prices.ConclusionsGiven the urgent need for a fundamental transition of the residential heating sector, marketers and policymakers should consider carefully whether it is worth channeling a rather unknown and expensive product like SNG into the voluntary market for heating gas, especially as biomethane is already established in the market and clearly a cheaper and more popular alternative.

Optimising Agricultural Waste Supply Chains for Sustainable Bioenergy Production: A Comprehensive Literature Review

One of the United Nations’ 17 Sustainable Development Goals is to “Ensure access to affordable, sustainable, and clean energy for all.” Additionally, the growing concerns about climate change and energy security have heightened the importance of exploring alternative energy sources to replace fossil fuels. The utilisation of agricultural waste for bioenergy production has acquired significant attention due to its potential to mitigate environmental impacts and provide renewable energy sources. However, the major obstacle to producing bioenergy is managing the supply chain while considering economic, environmental, and social factors in an optimal way. This paper presents a comprehensive overview of the literature on the management of agriculture waste supply chains, specifically related to the use of modelling and optimisation techniques for planning. The first section describes different stages of the supply chain and various technologies for converting biomass to bioenergy. This is followed by a synopsis of the literature reviewed based on decision levels, objective functions, modelling methodologies, and optimisation approaches. Finally, the review highlights limitations and gaps in current research and the areas with potential for further exploration.

Evaluation of Biohydrogen Production Depending on the Substrate Used—Examples for the Development of Green Energy

Biohydrogen production is a promising alternative to replace fossil fuels in an environmentally friendly way. In addition to the many available renewable energy sources, the production of “colored” hydrogen and biohydrogen occupies an irreplaceable position due to the undeniable availability of biomass and the need to manage food waste (FW). This article presents the current state of biohydrogen production technology—examples on continents (America, Africa, Asia, Australia and Oceania) and in Europe in terms of the efficiency of dark methane fermentation (CH4). Biophotolysis processes leading to the production of biohydrogen are indicated: directly and indirectly. The mechanism of the fermentation process of obtaining hydrogen and two-stage hydrogen fermentation are presented. The novelty of this article is the development of innovative trends in the development of the biohydrogen industry in Europe. Various models of the biohydrogen process are presented for different raw materials and proportions of substrates used in co-fermenters. Researchers from China are the undisputed pioneers in the use of renewable energy sources. However, improved energy self-sufficiency and environmental impacts are reflected in the growing number of pilot installations operating in European countries. This also gives hope for rapid progress towards full animal and FW management also in Poland.

Production of Hydrogen with Ruminal Microbiota: Finding Culture Conditions for High Yields

Hydrogen is ideal for replacing fossil fuels because upon combustion it generates only water. Dark fermentation (DF) from lignocellulose might be a competitive process for hydrogen production at the industrial scale. However, lignocellulose must be pretreated to obtain fermentable sugars, which is costly and creates pollution. Microorganisms from bovine rumen efficiently degrade lignocellulose. Unfortunately, they have scarcely been explored for the production of hydrogen. Therefore, deeper studies on the culture conditions have to be undertaken to understand the behavior of microbial consortia from the rumen of bovines (MCRB) during hydrogen production. In this work, we evaluated the production of hydrogen by DF with MCRB by varying the incubation time, two culture media (MB and Rhodospirillaceae), headspace (40 and 80 mL), and thermal treatment. It was found that the production of hydrogen was maximum at 16 h MCRB incubation in MB. An amount of 80 mL headspace resulted in a threefold production of hydrogen as compared to 40 mL; the MCRB without heat treatment had a higher H2 yield. The production of hydrogen with 32 MCRB was highly variable, ranging between 21 and 696 mL. Our findings show a different perspective on the treatment of MCRB for the production of hydrogen and give insights on the impact of the culture conditions for increasing hydrogen production.

A Comparative Analysis Assessing Growth Dynamics of Locally Isolated Chlorella sorokiniana and Chlorella vulgaris for Biomass and Lipid Production with Biodiesel Potential

Prior research has emphasized the potential of microalgae in biodiesel production, driven by their ability to replace fossil fuels. However, the significant costs associated with microalgae cultivation present a major obstacle to scaling up production. This study aims to develop an eco-friendly microalgae cultivation system by integrating carbon dioxide from flue gas emissions with an affordable photobioreactor, providing a sustainable biomass production. The research evaluates the growth performance of Chlorella sorokiniana and Chlorella vulgaris across this integrated system for biomass and lipid production. Results indicate substantial biomass yields of 1.97 and 1.84 g/L, with lipid contents of 35 % and 41 % for C. sorokiniana and C. vulgaris, respectively. The macrobubble photobioreactor demonstrates high potential for microalgae biomass and lipid production, yielding quality fatty acid methyl esters such as palmitic, linoleic and stearic. This study presents an environmentally friendly system for efficient microalgae cultivation, generating lipid-rich biomass suitable for biodiesel production.

Estimation of useful-stage energy returns on investment for fossil fuels and implications for renewable energy systems

The net energy implications of the energy transition have so far been analysed at best at the final energy stage. Here we argue that expanding the analysis to the useful stage is crucial. We estimate fossil fuelsʼ useful-stage energy returns on investment (EROIs) over the period 1971–2020, globally and nationally, and disaggregate EROIs by end use. We find that fossil fuelsʼ useful-stage EROIs (~3.5:1) are considerably lower than at the final stage (~8.5:1), due to low final-to-useful efficiencies. Further, we estimate the final-stage EROI for which electricity-yielding renewable energy would deliver the same net useful energy as fossil fuels (EROI equivalent) to be approximately 4.6:1. The EROIs of electricity-yielding renewable energy systems, based on published estimations, are found to be higher than the determined EROI equivalent, even considering the effects of intermittency under a range of energy transition scenarios. Results suggest that the energy transition may happen without a decline in net useful energy, countering the view that renewable energy systems cannot replace fossil fuels without incurring a substantial energy penalty.

Carbon Cycle Models Quantify for a Green and Low-Carbon Economy

CO2 emissions from the combustion of fossil fuels represent the largest anthropogenic disruption of the natural global carbon cycle and lead to an undesirable increase in atmospheric CO2 levels. The so-called "carbon-neutral" renewable energy source biomass appears to be a promising replacement for fossil fuels. The "Combined Energy and Biosphere Model" (CEBM), was developed as a method for calculating the atmospheric CO2 content after intensive use of biomass. It includes (i) a biosphere part computing the annual cycle of carbon in the biosphere on 2,433 grid elements covering the continents’ plant mass and soil, as well as (ii) an energy economic part for calculating the fossil CO2 emissions of 119 countries. As the history of understanding the carbon cycle (including quantification of plant growth and decay by formulae, inclusion of deforestation, fossil fuel use and the fertilizer effect) shows, such a global carbon cycle model (as the CEBM) provides the needed methodology to assess the net effects of large-scale biomass energy use on the plant’s atmosphere. Results show that biomass (in a systemic view) is “only half as carbon neutral” as previously thought, even on a principal level. The conclusions indicate that (even if biomass is a valuable mitigation strategy) its global potential is limited. When interpreting CEBM scenarios, as a very first priority, reducing the current annual increase in energy demand is most highly needed for preserving climate.

Preparation and oxygen-evolution-reaction performance of sulphur-doped flower-like NiFe-based composites supported on biomass porous carbon

Hydrogen gas generated through water electrolysis can replace fossil fuels. Thus, developing cost-effective and efficient water-splitting electrocatalysts for oxygen evolution reaction is highly important. Herein, biomass-porous-carbon-supported sulphur-doped flower-like NiFe-based alloy composites are prepared using an in situ impregnation–heat treatment technology. The spherical flower (diameter ≈ 1 μm, petal thickness ≈ 20 nm) main components are Ni0.5Fe0.5 and Fe9Ni9S16. The 800 °C heat-treated catalyst demonstrates outstanding catalytic performance in oxygen evolution reactions. At a current density of 10 mA cm−2 , it exhibits a minimal overpotential of 298.62 mV

Efficient enzymatic saccharification of agricultural wastes for the production of bioethanol, D-allulose and lactic acid

The demand for renewable resources to replace fossil fuels has increased. Fruit and agricultural wastes can be fermented to yield biofuels and biochemicals. However, the high cost of the feedstock and limitations of the catalytic process hinder the application of such wastes. Therefore, we aimed to develop an efficient enzymatic saccharification process, without pretreatment, for fruit and agricultural wastes. The conversion rate of the mixed agricultural wastes (MAW) to fermentable sugars was approximately 91 % after 24 h. The ethanol yield increased by 4.5 % after limonene removal. The D-allulose yield in the hydrolysate was 4.6 mg/mL at 4 °C and 3.3 mg/mL at 50 °C, whereas the fructose yield in the sugar medium was 13.2 mg/mL at 4°C, demonstrating a high conversion yield of 73.2 %. Lactic acid was produced at a conversion rate of approximately 67.4 %. Therefore, this study presents a novel approach of the biosynthesis of functional sugars and chemicals from waste biomass, introducing a cost-effective enzymatic saccharification process that bypasses pretreatment, thereby enabling the production of biofuels, biochemicals, and functional sugars and opening up a promising economic opportunity in the field.

Cost-effective reductions in greenhouse gas emissions: Reducing fuel consumption or replacing fossil fuels with biofuels

Greenhouse gas emissions from the transport sector can be reduced by decreasing fuel use by different means, and by blending biofuels into fossil fuels. A cost-effective combination of these measures is determined by spatially specific characteristics such as fuel demand, feedstock production costs, and greenhouse gas emissions from the feedstock production. We developed a spatially explicit model to explore the role of reduced transport fuel use and increased use of domestically produced biofuel, respectively, in a cost-effective policy for greenhouse gas abatement. The model is applied to domestic lignocellulosic biofuel from agricultural land, gasoline, and diesel for road transport in Sweden. The results show that the use of biofuel is particularly cost-effective under low and modestly stringent abatement targets. For more stringent targets, decreased fuel end use dominates the abatement portfolio. Replacing the emissions target by a biofuel production target increases the marginal cost of reducing emissions by up to 250%. With the current vehicle fleet, technical constraints on blend-in possibilities limit the role of biofuels at higher target levels.

Performances of the sandwich panel structures under fire accident due to hydrogen leaks: Consideration of structural design and environment factor using FE analysis

Abstract This study presents a comprehensive analysis using the finite element method (FEM) to examine and evaluate the behavior of fuel carrier ship structure. Sandwich panels are effective structures for use in ship structures due to their lightweight yet robust nature. Sandwich panels used in ship structures have various core shapes, such as hexagonal, circular, and square, as needed. The sandwich panel structure can be widely implemented in ship construction, for example, on the deck, hull, and bulkhead of the ship’s cabin. Hydrogen is an alternative fuel that can replace fossil fuels. In this modern era, hydrogen is high valuable energy commodity, so accidents involving carrier ships could have significant consequences. Hydrogen is produced from liquefied natural gas (LNG), so if a leak occurs, for instance, in a storage tank or fuel tank, it has the potential to lead to accidents such as fires. Corrosion is a significant concern for the maritime industry, as it can jeopardize the structural integrity of these vessels and pose substantial safety and environmental risks. In this research, FEM was utilized to model and simulate the effects of corrosion on hydrogen carrier ships when exposed to fire, considering various environmental and operational factors. Through a systematic investigation, it is aimed to gain insights into the impact of corrosion on ship structural components during fires, such as hulls and storage tanks. The result of this study will contribute to improving corrosion and fire mitigation strategies, ensuring the safety and longevity of hydrogen and LNG carrier ships, and supporting the sustainable transportation of hydrogen to meet global energy demands. No research has been conducted on the structural behavior resulting from hydrogen fires and corrosion simultaneously. To achieve this, it is assumed to use the corrosion properties of steel in heavily traveled ship routes such as the Panama Canal Zone, Barent Sea, North Sea, and Suez Canal Zone. This study utilized an approach by modeling corrosion using shell thickness in Abaqus Quasi-Static and applying boundary conditions in the form of temperature increase up to 800°C and subsequent cooling back to the initial temperature. At the maximum temperature, the most significant mid-span displacement occurred in the circular core sandwich panel, with a value of 4 mm. The axial force in the structure was inversely proportional to the mid-span displacement. In the case of the circular core sandwich panel, the axial force was 96 kN. The most resilient core type was hexagonal because it experiences the least deformation when compared to circular and square cores.

Analysis of The Feasibility of Hydrogen Injection in Pipeline Gas Distribution Networks

Objective: The objective of this study is the development of the basic guidelines for blending green hydrogen with natural gas and transporting it through the gas pipelines of a natural gas distribution company. The characteristics of consumption, legislation and materials used in the company's network were considered. In addition, data from recent research in the area was also selected to support specific actions so that this objective is achieved in a technically sustainable way, respecting technical knowledge and standards available internationally. Method: In this scenario, a study of the feasibility of enriching natural gas distributed by a gas distribution company in the region of the city of Fortaleza with green hydrogen is presented. In addition, data from recent research in the area was also selected to support specific actions so that this objective is achieved in a technically sustainable way, respecting technical knowledge and standards available internationally. Results and Discussion: Based on current legislation and a series of technical references, it is currently recommended to add levels of up to 2% in branches where natural gas is used for vehicular and industrial glass and ceramic applications and can increase up to 3% in other extensions. The maximum concentration may reach 10% in the medium term after detailed fatigue resistance studies or adaptation of pipes with internal polymer jackets. Research Implications: The interest in replacing fossil fuels for decarbonization purposes has motivated research into a series of alternatives, among which hydrogen stands out as a possible vector or energy carrier for high-efficiency systems with oxidation free of carbon emissions. carbon. Introducing renewable hydrogen into natural gas distribution networks stabilizes the demand for production of this gas, in addition to alleviating the costs and risks associated with building a dedicated facility. Originality/Value: This study contributes to the literature related to the study of green Hydrogen. The relevance and value of this research are evidenced by the results obtained.