Methanol production from water electrolysis and tri-reforming: Process design and technical-economic analysis

Shi, Chenxu; Labbaf, Babak; Mostafavi, Ehsan; Mahinpey, Nader

doi:10.1016/j.jcou.2019.12.022

Cited by 50 publications

(22 citation statements)

References 15 publications

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“…All procedures for calculating unit production costs and CO 2 emissions for green NH 3 synthesis are described in the Supporting Information. The effect of system efficiency and learning rate on green H 2 production cost was investigated for AWE, PEM WE, and SOE with a unit electricity price of 0.06 USD kWh –1 , as shown in Figure . Here, learning rate (lr) is an index for predicting technological improvement, as defined by Wright, to show the reduction of cost ( C ) using a power law of cumulative production ( P ) based on historical data.…”

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confidence: 99%

Pathways to a Green Ammonia Future

et al. 2022

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confidence: 99%

Pathways to a Green Ammonia Future

et al. 2022

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“…Although unit performance is encouraging, system energetic savings for the analyzed cases are minimal because the optimized conventional reference case is highly efficient. Ultimately, unit performance improvement from heat transfer intensification translates directly to notable F I G U R E 5 Simplified methanol production schematic with recycle and compression train flows based on Shi et al [4] and natural gas reforming flows based on Shi et al [11] scaled according to optimal U base case methanol recovery.…”

Section: Discussionmentioning

confidence: 99%

“…The methanol synthesis and purification simulation by Shi et al is used as an initial reference case. [4] Reedless exchangers are modeled using a minimum approach temperature between T cond and the cooling air outlet temperature of 10 C. Initial reference case overhead condenser operating temperature is 62 C. F I G U R E 1 Aspen representation of methanol distillation with an air-cooled overhead condenser based on methanol synthesis and purification simulation by Shi et al [4] Condenser temperatures ranging from 60 to 62 C with a minimum approach temperature of 5 C are analyzed for reed-enhanced exchangers to capture the effect of reducing temperature driving force. Condenser temperature of 59 C was also evaluated but excluded from the following analysis as high area requirements and reduced methanol recovery due to temperature limitations led to unfavorable system performance.…”

Section: Methodsmentioning

confidence: 99%

Technoeconomic assessment of distillation heat transfer intensification using aeroelastically fluttering reeds

Blaine

Park

2023

J Adv Manuf & Process

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Dry cooling, where forced air is the heat transfer medium, is a preferable cooling method in arid locations lacking readily available process water. However, such locations often experience high ambient temperatures that limit the effectiveness of air cooling. The objective of this study is to quantify the economic and energetic benefits of heat transfer intensification via the implementation of aeroelastically fluttering reeds to the air‐cooled condenser of a methanol distillation column. Condenser size and performance, regarding recovered methanol and required fan power, is evaluated across condenser operating temperatures (Tcond) from 60 to 62°C and heat transfer coefficients (U) Ubase–2Ubase for a range of inlet air temperatures based on ambient temperature data from Yuma, Arizona. Under typical design sizing, condenser capital cost was reduced by 6%–35% (1.3Ubase–2Ubase) and nominal methanol recovery was increased from 0.26% to 0.38% (Tcond = 62–60°C). At optimized condenser size, all enhanced U and Tcond pairs increase methanol recovery and reduce fan power costs compared to the optimal Ubase reference. Overall, using enhanced heat transfer to maintain condenser temperature under a wider range of inlet conditions, rather than to reduce operation temperature, produces more favorable performance. Methanol price is not a determining factor in which pairs are profitable. Analysis was repeated for a global warming scenario, revealing more valuable improvements under elevated temperatures. Energy savings from condenser improvement to a methanol production system are not significant with respect to an optimized conventional system. Unit economic and energetic incentives suggest implementation of fluttering reeds may be justified in other applications.

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“…Their results showed that the energy consumption of coal-to-methanol was reduced by 16% and waste water, residue, and gases were also reduced after process optimization. Shi et al [108] adopted the water electrolysis and tri-reforming production process for producing methanol in a more sustainable manner. Compared with the traditional methanol production process, their method substantially reduced the net CO 2 emissions, which was 570,000 ton per year less for producing 1 ton of methanol.…”

Section: Lca Comparison and Improvementsmentioning

confidence: 99%

Life cycle assessment and life cycle cost analysis of Jatropha biodiesel production in China

Liu

Zhu

Zhang

et al. 2022

Biomass Conv. Bioref.

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In this study, a Life Cycle Cost (LCC) is integrated within a life cycle assessment (LCA) model to comprehensively evaluate the energy, environment, and economic impacts of the Jatropha biodiesel production in China. The total energy consumption of producing 1 ton of Jatropha biodiesel is 17566.16 MJ, in which fertilizer utilization and methanol production consume 78.14% and 18.65% of the overall energy consumption, respectively. The production of 1 ton of Jatropha biodiesel emits a number of pollutants, including 1184.52 kg of CO2, 5.86 kg of dust, 5.59 kg of NOx, 2.67 kg of SO2, 2.38 kg of CH4, and 1.05 kg of CO. By calculating and comparing their environmental impacts potentials, it was discovered that NOx and dust emissions during the fertilizer application, combustion of Jatropha shells, and methanol production urgently require improvement, as they contribute to serious global warming and particulate matter formation issues. LCC study shows that the cost of Jatropha biodiesel is 796.32 USD/ton, which is mostly contributed by Jatropha oil cost (44.37% of the total cost) and human input (26.70% of the total cost). Additional profits are generated by the combustion of Jatropha shells and glycerol by-product, which can compensate 16.76% of the cost of Jatropha biodiesel. Graphical Abstract

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Methanol production from water electrolysis and tri-reforming: Process design and technical-economic analysis

Cited by 50 publications

References 15 publications

Pathways to a Green Ammonia Future

Pathways to a Green Ammonia Future

Technoeconomic assessment of distillation heat transfer intensification using aeroelastically fluttering reeds

Life cycle assessment and life cycle cost analysis of Jatropha biodiesel production in China

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