A review of geothermal energy-driven hydrogen production systems

Mahmoud, Montaser; Ramadan, Mohamad; Naher, Sumsun; Pullen, Keith; Abdelkareem, Mohammad Ali; Olabi, Abdul–Ghani

doi:10.1016/j.tsep.2021.100854

Cited by 78 publications

(12 citation statements)

References 115 publications

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“…Such environmental impacts resulted in serious health problems and critical climate changes. Efforts have been devoted worldwide to reduce or eliminate the consumption of fossil fuel through improving the efficiency of the current energy conversion processes 3 , developing efficient environmentally friendly energy conversion devices 4 , 5 , using environmentally friendly materials 6 , 7 , and developing renewable energy (RE) resources such as biomass 8 , wind 9 , geothermal 10 , and solar 11 . Additionally, hybrid RE resources have been widely described for improved energy sustainability 12 .…”

Section: Introductionmentioning

confidence: 99%

Impact of COVID‐19 on the Renewable Energy Sector and Mitigation Strategies

et al. 2022

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This review explores the impact of the COVID‐19 pandemic on the renewable energy (RE) sector, especially in countries with the highest RE capacities, e.g., the USA, China, India, and the EU. It highlights stimulus packages put in place by governments worldwide and their sustainability to cushion the RE sector. Commissioning of RE projects has stalled due to lack of funding allocation and interruptions in the supply of equipment and components due to lockdown measures. Despite the need to fund COVID‐19 vaccination programs and other related health services, the world must not neglect other sectors of the economy, creating more problems, such as worsening the climate change situation in the long run. This review aims to present the information needed to sustain future energy during the COVID‐19 global pandemic.

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Section: Introductionmentioning

confidence: 99%

Impact of COVID‐19 on the Renewable Energy Sector and Mitigation Strategies

et al. 2022

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“…The growth of electricity demand is a major factor that affects climate change due to the dependency on fossil fuels for power generation. This elevates the importance of utilizing renewable energy sources (RES) such as solar [1], wind [2], geothermal [3], bioenergy [4],…”

Section: Introductionmentioning

confidence: 99%

Thermal comparison of mono-facial and bi-facial photovoltaic cells considering the effect of TPT layer absorptivity

Radwan

Mahmoud

Olabi

et al. 2023

International Journal of Thermofluids

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“…Additionally, hydrogen fuel cells can be used at a large scale in power generation and power plants [9,10] or internal combustion engines [11,12]. High purity hydrogen can be obtained from water using renewable energy sources such as solar energy [13,14], geothermal energy [15,16], and wind energy [17,18]. Although high purity of hydrogen is obtained by water electrolysis, it challenges the high cost compared with steam reforming, which is known as the cheapest method used for hydrogen production on the commercial scale [19,20].…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation-Based Slime Mold Algorithm of Photocatalytic Methane Reforming Process for Hydrogen Production

Nassef

Handam

2022

Sustainability

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The key contribution of this paper is to determine the optimal operating parameters of the methane reforming process for hydrogen production. The proposed strategy contained two phases: ANFIS modelling and optimization. Four input controlling parameters were considered to increase the hydrogen: irradiation time (min), metal loading, methane concentration, and steam concentration. In the first phase, an ANFIS model was created with the help of the experimental data samples. The subtractive clustering (SC) technique was used to generate the fuzzy rules. In addition, the Gaussian-type and weighed average were used for the fuzzification and defuzzification methods, respectively. The reliability of the resulting model was assessed statistically by RMSE and the correlation (R2) measures. The small RMSE value and high R2 value of testing samples assured the correctness of the modelling phase, as they reached 0.0668 and 0.981, respectively. Based on the robust model, the optimization phase was applied. The slime mold algorithm (SMA), as a recent as well as simple optimizer, was applied to look for the best set of parameters that maximizes hydrogen production. The resulting values were compared by the findings of three competitive optimizers, namely particle swarm optimization (PSO), Harris hawks optimization (HHO), and evolutionary strategy HHO (EESHHO). By running the optimizers 30 times, the statistical results showed that the SMA obtained the maximum value with high mean, standard deviation, and median. Furthermore, the proposed strategy of combining the ANFIS modelling and the SMA optimizer produced an increase in the hydrogen production by 15.7% in comparison to both the experimental and traditional RSM techniques.

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A review of geothermal energy-driven hydrogen production systems

Cited by 78 publications

References 115 publications

Impact of COVID‐19 on the Renewable Energy Sector and Mitigation Strategies

Impact of COVID‐19 on the Renewable Energy Sector and Mitigation Strategies

Thermal comparison of mono-facial and bi-facial photovoltaic cells considering the effect of TPT layer absorptivity

Parameter Estimation-Based Slime Mold Algorithm of Photocatalytic Methane Reforming Process for Hydrogen Production

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