Trends and prospects of geothermal energy as an alternative source of power: A comprehensive review

Islam, Mohammad Towhidul; Nabi, Nurun; Arefin, Md. Arman; Mostakim, Khodadad; Rashid, Fazlur; Hassan, N.M.S.; Rahman, S.M.A.; McIntosh, S.; Mullins, B.J.; Muyeen, S. M.

doi:10.1016/j.heliyon.2022.e11836

Cited by 35 publications

(10 citation statements)

References 56 publications

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“…Furthermore, geothermal power plants require significant amounts of water for cooling, which can be difficult in water-stressed areas. Finally, geothermal energy offers excellent potential as an RE source, especially in places with abundant geothermal resources. , It provides a sustainable and economical source of electricity and can assist in the reduction of GHG emissions. Further research and investment are still required to improve exploration and drilling techniques and tackle water-related issues.…”

Section: Renewable Energy Technologiesmentioning

confidence: 99%

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Nguyen,

Tarełko,

Sharma

et al. 2024

Energy Fuels

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Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimization and model prediction. The effective utilization of ML techniques for the development and scaling up of renewable energy systems needs a high degree of accountability. However, most of the ML approaches currently in use are termed black box since their work is difficult to comprehend. Explainable artificial intelligence (XAI) is an attractive option to solve the issue of poor interoperability in black-box methods. This review investigates the relationship between renewable energy (RE) and XAI. It emphasizes the potential advantages of XAI in improving the performance and efficacy of RE systems. It is realized that although the integration of XAI with RE has enormous potential to alter how energy is produced and consumed, possible hazards and barriers remain to be overcome, particularly concerning transparency, accountability, and fairness. Thus, extensive research is required to address the societal and ethical implications of using XAI in RE and to create standardized data sets and evaluation metrics. In summary, this paper shows the potential, perspectives, opportunities, and challenges of XAI application to RE system management and operation aiming to target the efficient energy-use goals for a more sustainable and trustworthy future.

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Section: Renewable Energy Technologiesmentioning

confidence: 99%

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Nguyen,

Tarełko,

Sharma

et al. 2024

Energy Fuels

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“…1 Advanced energy conversion technologies (e.g., solar photovoltaics, thermoelectrics, geothermal power, etc.) [2][3][4][5][6][7][8][9] have made a significant contribution to the common effort to produce environmentally sustainable alternative energy sources. Notably, fuel cells have emerged as a promising technology for generating electricity through reactions involving oxygen and hydrogen.…”

Section: Introductionmentioning

confidence: 99%

First-principles studies of enhanced oxygen reduction reactions on graphene- and nitrogen-doped graphene-coated platinum surfaces

Nam,

Phung,

Choeichom

et al. 2024

Phys. Chem. Chem. Phys.

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“…With the depletion of shallow mineral resources, the exploitation of deep mineral resources faces new challenges. Around the world, geothermal gradients range from 2.5 °C/100m to 6.5 °C/100m [5][6][7][8] . The high temperature environment in deep mine threatens the health and safety of underground workers [9] .…”

Section: Introductionmentioning

confidence: 99%

“…As a kind of renewable energy with great development potential, geothermal energy has not been developed on a large scale [5] . Researchers at home and abroad have conducted extensive research on the extraction of geothermal energy.…”

Section: Introductionmentioning

confidence: 99%

Study on heat storage and heat release performance of casing heat pipe heat exchanger coupled phase change backfill body

Ji,

Zhang,

Wang

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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In order to improve the utilization of mine geothermal resource, the casing heat pipe heat exchanger coupled phase change backfill heat transfer system is proposed in this paper. The effects of the number of casing heat pipe heat exchanger (CHPHE) on the system temperature distribution, the liquid phase fraction of phase change material (PCM) and the heat storage/heat release performance of system were studied by numerical simulation. The results showed that with increase in CHPHE number, the internal temperature of backfill body increases slowly, and the melting rate of PCM slows down. In the heat storage/heat release coexistence stage, the temperature of backfill body decreases rapidly, and the solidification rate of PCM inside the casing heat exchanger accelerates. When CHPHE number is 2, 3 and 4, the complete melting time of PCM is 2.25 h, 3.16 h and 3.33 h, and the complete solidification time is 1.06 h, 1.20 h and 1.24 h respectively. As CHPHE number increases from 2 to 4, temperature difference between the inlet and outlet CHPHE cooling water during heat storage/heat release coexistence stage decreases from 3.63 ℃ to 1.63 ℃. When CHPHE number increases from 2 to 4, the total heat storage capacity increases from 3320.61 kJ to 3757.88 kJ, and the growth rate is 7.14%. While the heat release capacity increases from 2881.06 kJ to 3110.97 kJ, and the growth rate is 7.98%. However, the more CHPHE number, the greater the thermal interference between heat pipe heat exchangers, and the smaller system energy efficiency coefficient -The energy efficiency coefficient of CHPHE-PCB system will reduce from 86.76% to 82.77%(a reduction of 3.99%) as CHPHE number increases from 2 to 4. The research results obtained in this study can guild the highly efficient exploitation of mine geothermal energy.

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Trends and prospects of geothermal energy as an alternative source of power: A comprehensive review

Cited by 35 publications

References 56 publications

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

First-principles studies of enhanced oxygen reduction reactions on graphene- and nitrogen-doped graphene-coated platinum surfaces

Study on heat storage and heat release performance of casing heat pipe heat exchanger coupled phase change backfill body

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