Energy, exergy, economic, and sensitivity analyses of an enhanced liquid hydrogen production cycle within an innovative multi-generation system

Faramarzi, Saman; Esmat, Pooria; Karimi, Ershad; Abdollahi, Seyyed Amirreza

doi:10.1007/s10973-024-12895-1

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Biomass can be burned directly or converted into biofuels (e.g., ethanol and biodiesel), solid or liquid fuels, or electricity for deployment in various sectors [50]. Geothermal energy, deriving from the Earth's internal heat, shows great promise as a resource for an extensive variety of sustainable solutions, especially thermal control in smart buildings [51][52][53]. While its use in electricity production remains somewhat limited, more countries have begun to tap into this extensive energy source to supply heat for residential, commercial, and industrial needs [54].…”

Section: Holistic Resource Optimizationmentioning

confidence: 99%

“…Specifically, with the integration of geothermal technologies, system-wide emissions could decrease by 113 million tons of CO 2 -eq, accounting for 11% of the total. Moreover, Faramarzi et al [53] investigated a multi-generation process harnessing geothermal energy through incorporating LH 2 (liquid hydrogen), fresh water, and hot water. Their findings indicated that although the high investment expense associated with hydrogen liquefaction cycles remains a challenge, employing this cycle eliminates the necessity of depending on hydrocarbon fuels for producing energy, resulting in a future-proofed energy solution with reduced environmental impact in comparison to combustion-based systems.…”

Section: Future Environmental Harmonymentioning

confidence: 99%

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The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review

Hu,

Bui

2024

Energies

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From powering our homes to driving our economies, energy lies at the heart of humanity’s complex challenges in the modern era. This paper reviews the evolution of smart energy systems, examining their technological advancements and societal implications while proposing a future design framework emphasizing four key pillars: holistic resource optimization, adaptive intelligence, environmental harmony, and human-centered design. While they offer numerous benefits, such as enhanced energy efficiency and reduced carbon emissions, smart energy systems also face challenges. These include cybersecurity risks, the complexity of integrating diverse energy sources seamlessly, high upfront costs, and potential compatibility issues arising from evolving technologies. Overcoming these challenges will be crucial for unleashing the full potential of smart energy systems and facilitating their global adoption. Abundant opportunities for further research and development exist in this domain, awaiting exploration and advancement.

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Section: Holistic Resource Optimizationmentioning

confidence: 99%

Section: Future Environmental Harmonymentioning

confidence: 99%

The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review

Hu,

Bui

2024

Energies

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Waste to hydrogen: Investigation of different loads of diesel engine exhaust gas

Ata,

Kahraman,

Şahin

et al. 2024

International Journal of Hydrogen Energy

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Efficient Design of the Hydrogen Liquefaction System: Thermodynamic, Economic, Environmental, and Uncertainty Perspectives

Ghorbani,

Zendehboudi,

Alizadeh Afrouzi

et al. 2024

Ind. Eng. Chem. Res.

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Hydrogen (H2) liquefaction is one of the most promising approaches for storing and transporting clean energy on a large scale for long periods. However, this strategy faces the challenges of high energy consumption, relatively low exergy efficiency, substantial economic costs, boil-off gas losses, and limited knowledge of its environmental perspectives. A robust systematic framework is introduced by integrating thermodynamic, machine learning (ML), and multiobjective optimization (MOO) approaches to optimize the operational variables of the H2 liquefaction process. The H2 liquefaction process includes a mixed refrigerant precooling unit and a Joule-Brayton cryogenic cascade cycle. The combination of the pinch analysis approach and enumerative algorithms is used in the initial optimization phase as a nonlinear method to determine the operational variables of the precooling and liquefaction systems. The exergy efficiency and exergy destruction of H2 liquefaction cycles are calculated as 49% and 5073 kW to produce 50 tons/day of liquid H2. Based on life cycle assessment and economic analysis, the global warming and levelized cost to produce 1 kg liquid H2 are calculated at 124 kgCO2eq and 4.833 US$, respectively. The sensitivity analysis, ML, and MOO algorithms (particle swarm, genetic algorithm, and gray wolf techniques) in the final optimization phase are used to determine the Pareto frontier. The multicriteria decision techniques are used to identify the optimal operating conditions considering the thermodynamic, economic, and environmental aspects. The uncertainty levels of objective functions based on different parameters are studied by uncertainty quantification using Monte Carlo.

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Energy, exergy, economic, and sensitivity analyses of an enhanced liquid hydrogen production cycle within an innovative multi-generation system

Cited by 3 publications

References 38 publications

The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review

The Future Design of Smart Energy Systems with Energy Flexumers: A Constructive Literature Review

Waste to hydrogen: Investigation of different loads of diesel engine exhaust gas

Efficient Design of the Hydrogen Liquefaction System: Thermodynamic, Economic, Environmental, and Uncertainty Perspectives

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