Integrating hydrogen liquefaction with steam methane reforming and CO2 liquefaction processes using techno-economic perspectives

Lee, Dongjun; Gbadago, Dela Quarme; Jo, Youngtak; Hwang, Gang Uk; Jo, Yeonpyeong; Smith, Robin; Hwang, Sungwon

doi:10.1016/j.enconman.2021.114620

Cited by 40 publications

(25 citation statements)

References 51 publications

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“…In the calculation of interactive genetic algorithm, nonlinear basis function should be selected to calculate and analyze the model [ 17 , 18 ]. The nonlinear basis function is a very important function form, which is very important to improve the accuracy and precision of the model.…”

Section: The Basic Research Content Of Interactive Genetic Algorithmmentioning

confidence: 99%

Exploration of Landscape Lighting Design Based on Interactive Genetic Algorithm

Shi

Zheng

2022

Computational and Mathematical Methods in Medicine

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There are many problems in the practical application of landscape lighting design. In order to solve these problems more specifically, based on the relevant theories of interactive genetic algorithm, radial basis function and hesitation degree are introduced into genetic algorithm. Through the analysis and processing of the data to get the optimized interactive genetic algorithm, the algorithm can analyze and optimize the landscape lighting design. Based on this model, the lighting design can be predicted and analyzed, and the prediction result is relatively good. Relevant studies show that the interactive genetic algorithm can be divided into three typical change stages according to the different results of intensity calculation, of which the first stage mainly presents the trend of gradual decline. The fluctuation phenomenon is obvious in the second paragraph. The third paragraph shows a gradual increasing trend of change. The corresponding relationship between the two fitness functions is obvious. With the increase of experts in independent variables, the corresponding fitness values show a trend of gradual decline on the whole. Through the calculation and analysis of five different indicators of landscape lighting by using interactive genetic algorithm, it can be seen that electrification has a relatively small impact on landscape lighting. The results of intelligent and environmental protection calculation are relatively high, and the corresponding range of change is relatively large, which shows that these two indicators are very important for improving the lighting design level of landscape. Finally, the model is verified by comparing data and model curves. Interactive genetic algorithm is very important to improve the lighting design of landscape, and the optimization model can be widely used in other fields.

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Section: The Basic Research Content Of Interactive Genetic Algorithmmentioning

confidence: 99%

Exploration of Landscape Lighting Design Based on Interactive Genetic Algorithm

Shi

Zheng

2022

Computational and Mathematical Methods in Medicine

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“…35 Among them, the heat exchange converter is the most economical in terms of the total cost. 35 This study assumed that the O-P conversion reaction occurred continuously in the cryogenic heat exchanger by modeling the equilibrium hydrogen heat capacity.…”

Section: Thermodynamic Properties Of Orthoand Para-hydrogenmentioning

confidence: 99%

“…There are three conversion reactors for the O-P conversion reaction: (a) adiabatic, (b) isothermal, and (c) heat exchange converters. 35 Among them, the heat exchange converter is the most economical in terms of the total cost. 35 This study assumed that the O-P conversion reaction occurred continuously in the cryogenic heat exchanger by modeling the equilibrium hydrogen heat capacity.…”

Section: Thermodynamic Properties Of Orthoand Para-hydrogenmentioning

confidence: 99%

Comparative design, thermodynamic and techno‐economic analysis of utilizing liquefied natural gas cold energy for hydrogen liquefaction processes

Noh

Park

Kim

et al. 2022

Intl J of Energy Research

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Summary This study mainly focuses on determining the optimal configuration that efficiently utilizes liquefied natural gas (LNG) cold energy in hydrogen precooling for liquid hydrogen production. To achieve this goal, two different configurations are designed: (a) adding LNG cold energy to the existing hydrogen precooling cycle and (b) replacing the existing hydrogen precooling cycle with LNG cold energy. An equilibrium hydrogen model is developed to reflect the thermodynamic property of ortho‐para conversion of hydrogen. Bayesian optimization is performed to determine the optimal operating conditions which minimize the specific energy consumption for all configurations. The specific energy consumption of the configuration involving hydrogen precooling with only LNG is 5.613 kWh/kg‐LH2, and it is reduced by 8.13% and 3.19% from the base case design and the configuration involving hydrogen precooling with both LNG and a mixed refrigerant cycle, respectively. In addition, a techno‐economic analysis is conducted. Compare to the base case design, the capital cost and operating cost of the design replacing hydrogen precooling with LNG are reduced by 31.76% and 11.55%, respectively. This study shows that the proposed design of replacing the hydrogen precooling cycle with an LNG stream can save energy consumption, moreover, it is highly effective for capital investment saving due to its simple configuration.

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“…To estimate techno-economic parameters used in each process, Aspen Economizer ® was used: in the CO 2 capture process, for the absorber, distillation column, flash drum, heater, compressor, pump, low-pressure (LP) steam, and cooling water costs; in the H 2 production process, for the flash drum, heater/cooler, and pump costs; in electricity generation, for the heater/cooler, compressor, and pump costs; and in the valorization process, for distillation, heater/cooler, compressor, and flash drum costs. Other techno-economic parameters, namely, the heat-exchanger, MEA solvent, CO 2 avoid cost, and electricity for the CO 2 capture process; heat exchanger, reformer, boiler, PSA, PSA sorbent, and electricity for the H 2 production process; heat exchanger, combustor to supply heat, and turbine for the electricity production process; and reactor, boiler, and reactant (H 2 ) for the valorization process including labor, maintenance, and other costs were based on several research works 51,[69][70][71][72][73][74][75][76][77][78][79][80][81] (Table 6).…”

Section: Equilibrium Constant User Supplied Coefficients Valuementioning

confidence: 99%