Thermo-economic analysis of Phosphoric Acid Fuel-Cell (PAFC) integrated with Organic Ranking Cycle (ORC)

Wilailak, Supaporn; Yang, Jae-Hyeon; Heo, Chul-Gu; Kim, Kyung Soo; Bang, Se-Kyung; Seo, In-Ho; Zahid, Umer; Lee, Chul‐Jin

doi:10.1016/j.energy.2020.119744

Cited by 32 publications

(4 citation statements)

References 36 publications

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“…Different types of membranes offer various characteristics and suitability for different applications, leading to the classification of FCs based on their specific membrane technologies. FCs encompass a variety of types, including high-temperature PEM-FCs [24,25], direct methanol FCs [26,27], solid oxide FCs [28,29], alkaline FCs [30,31], microbial FCs [32,33], direct ethanol FCs [34,35], phosphoric acid FCs [36,37], molten carbonate FCs [38], regenerative FCs [39,40], direct alcohol FCs [41,42], enzymatic FCs [43,44], direct ethylene glycol FCs [45], direct carbon FCs [46,47], and more. PEM-FCs are particularly preferred in the automotive sector due to the characteristics of the membrane used in their construction.…”

Section: Principles and Literature Review Of Proton Exchange Membrane...mentioning

confidence: 99%

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Ghoniem,

Wilberforce,

Rezk

et al. 2023

Membranes

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The adoption of Proton Exchange Membrane (PEM) fuel cells (FCs) is of great significance in diverse industries, as they provide high efficiency and environmental advantages, enabling the transition to sustainable and clean energy solutions. This study aims to enhance the output power of PEM-FCs by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) and modern optimization algorithms. Initially, an ANFIS model is developed based on empirical data to simulate the output power density of the PEM-FC, considering factors such as pressure, relative humidity, and membrane compression. The Salp swarm algorithm (SSA) is subsequently utilized to determine the optimal values of the input control parameters. The three input control parameters of the PEM-FC are treated as decision variables during the optimization process, with the objective to maximize the output power density. During the modeling phase, the training and testing data exhibit root mean square error (RMSE) values of 0.0003 and 24.5, respectively. The coefficient of determination values for training and testing are 1.0 and 0.9598, respectively, indicating the successfulness of the modeling process. The reliability of SSA is further validated by comparing its outcomes with those obtained from particle swarm optimization (PSO), evolutionary optimization (EO), and grey wolf optimizer (GWO). Among these methods, SSA achieves the highest average power density of 716.63 mW/cm2, followed by GWO at 709.95 mW/cm2. The lowest average power density of 695.27 mW/cm2 is obtained using PSO.

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Section: Principles and Literature Review Of Proton Exchange Membrane...mentioning

confidence: 99%

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Ghoniem,

Wilberforce,

Rezk

et al. 2023

Membranes

View full text Add to dashboard Cite

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“…Typical fuel cells can be divided into proton exchange membrane fuel cell (PEMFC), solid oxide fuel cell (SOFC) phosphoric acid fuel cell (PAFC) [61] and alkaline fuel cell (AFC) according to their electrolytes. PEMFC can quickly reach working status, it has stable working pressure due to its relatively simple working mechanism and can use the electrolyte without involving complex chemical changes.…”

Section: Hydrogen Fuel Cellmentioning

confidence: 99%

The State-of-the-Art Progress on the Forms and Modes of Hydrogen and Ammonia Energy Utilization in Road Transportation

et al. 2022

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The crisscross progress of transportation and energy carries the migrating track of human society development and the evolution of civilization, among which the decarbonization strategy is a key issue. Traffic carbon emissions account for 16.2% of total energy carbon emissions, while road traffic carbon emissions account for 11.8% of total energy carbon emissions. Therefore, road traffic is a vital battlefield in attaining the goal of decarbonization. Employing clean energy as an alternative fuel is of great significance to the transformation of the energy consumption structure in road transportation. Hydrogen and ammonia are renewable energy with the characteristics of being widely distributed and clean. Both exist naturally in nature, and the products of complete combustion are substances (water and nitrogen) that do not pollute the atmosphere. Because it can promote agricultural production, ammonia has a long history in human society. Both have the potential to replace traditional fossil fuel energy. An overview of the advantages of hydrogen and ammonia, as well as their development in different countries such as the United States, the European Union, Japan, and other major development regions is presented in this paper. Related research topics of hydrogen and ammonia’s production, storage and transferring technology have also been analyzed and collated to stimulate the energy production chain for road transportation. The current cost of green hydrogen is between $2.70–$8.80 globally, which is expected to approach $2–$6 by 2030. Furthermore, the technical development of hydrogen and ammonia as a fuel for engines and fuel cells in road transportation is compared in detail, and the tests, practical applications and commercial popularization of these technologies are summarized, respectively. Opportunities and challenges coexist in the era of the renewable energy. Based on the characteristics and development track of hydrogen and ammonia, the joint development of these two types of energy is meant to be imperative. The collaborative development mode of hydrogen and ammonia, together with the obstacles to their development of them are both compared and discussed. Finally, referring to the efforts and experiences of different countries in promoting hydrogen and ammonia in road transportation, corresponding constructive suggestions have been put forward for reference. At the end of the paper, a framework diagram of hydrogen and ammonia industry chains is provided, and the mutual promotion development relationship of the two energy sources is systematically summarized.

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“…Preheated H 2 is fed into the anode at 100 kPa and 145 • C, releasing 303 kW and 5 kg/h H 2 at 190 • C, which is recirculated back into the anode. A heat exchanger attached to the cathode is used to produce 760 kg/h steam from 455 kW heat released out of saturated water at 476 kPa and 150 • C, which can be used for thermal processing (Wilailak et al, 2021).…”

Section: Cogenerationmentioning

confidence: 99%

Technologies for sustainable heat generation in food processing

Großmann

Hinrichs

Weiß

2022

Comp Rev Food Sci Food Safe

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The utilization of heat is one of the foundations of modern food processing. At present, boilers that operate on fossil fuels are still dominating the generation of hot water, steam, and hot air in the food industry. In light of sustainability goals and carbon taxes as well as international efforts to reduce the dependence on natural gas, new technologies are needed to lower the greenhouse gas emissions related to thermal processing of foods. This review discusses important technologies that could serve as a replacement for conventional fossil fuel boilers in the future. These technologies are based on electricity, geothermal energy (direct/indirect use), and electricity to hydrogen conversion and include fuel cells, microturbines, engines, electrical boilers, heat pumps, radiation, and use of geothermal energy. The majority of these technologies are already available for implementation at larger scales and emissions are generally lower compared to burning fossil fuels. At present, major obstacles, such as low fossil fuel prices, still exist that prevent the widespread adoption of more sustainable heating technologies. However, the direct transformation of electrical energy and utilization of geothermal energy for heating purposes seem promising and should be more frequently installed in the future, whereas the use of H 2 obtained through electrolysis as a transportable source of energy may also serve as a source of thermal energy where it is useful to generate electricity and heat on the production site or where the availability of electricity is limited.

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Thermo-economic analysis of Phosphoric Acid Fuel-Cell (PAFC) integrated with Organic Ranking Cycle (ORC)

Cited by 32 publications

References 36 publications

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

Boosting Power Density of Proton Exchange Membrane Fuel Cell Using Artificial Intelligence and Optimization Algorithms

The State-of-the-Art Progress on the Forms and Modes of Hydrogen and Ammonia Energy Utilization in Road Transportation

Technologies for sustainable heat generation in food processing

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