Utilizing liquefied natural gas (LNG) cold energy is a novel idea to reduce energy consumption of cryogenic CO2 capture. Two innovative configurations, pre-cooling system and post-expansion system, ...are introduced and compared with basic system to efficiently and economically harness cold energy. The thermo-economic performance, evaluated from environment, energy and economy perspectives, is thoroughly investigated under a limited LNG flow rate on various design conditions. The thermo-economic performance of three systems in actual operation is optimized by Non-dominant Sorting Genetic Algorithm-II. Results indicate that post-expansion system exhibits the most favorable thermo-economic performance, achieving process simplification, CO2 recovery, exergy efficiency and levelized cost of CO2 capture of 95.64 %, 32.05 % and 82.41 $/tCO2, respectively. Comparison with other technology pathways reveals that cryogenic capture is conducive to cleaner production under similar CO2 concentration levels. The methodology and results will contribute to future academic research and industrial design in the field of cryogenic CO2 capture.
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•A cryogenic CO2 capture system based on LNG cold energy utilization is proposed.•Achieving 36.21 % and 56.25 % reduction in capture cost and energy consumption.•System performances are analyzed through multi-perspective evaluation indexes.•Highlights the potential of cryogenic capture compared to conventional technologies.
PurposeThe study aims to develop an organizational culture typology and explore how different logistics service provider (LSP) and customer archetypes interact to generate performance improvements in ...logistics outsourcing relationships.Design/methodology/approachA multiple case study approach with 12 dyads was employed. Interviews as well as public and internal data from LSPs and customers were analyzed.FindingsThe results reveal four archetypes each for LSPs and customers, characterized by two dimensions: “activeness” and “openness”. Furthermore, analyzing the interaction among the archetypes, three relationship patterns are identified (“static”, “restrained”, and “progressive”) that differ in the exploratory and exploitative improvement outcomes.Research limitations/implicationsThe study contributes to theory development at the intersection of organizational culture and logistics outsourcing.Originality/valueThe study provides a typology of organizational culture in logistics outsourcing and how different archetypes interact to generate improvements.
In this work, an exergoeconomic analysis is applied to the power cycle of a concentrated solar plant for its design improvement. A supercritical CO2 cycle connected with the exothermic reactor of a ...thermochemical storage unit is considered. The analysis is conducted with the goal of highlighting the advantages of exergoeconomic analysis while suggesting changes to both the design parameters and the system configuration. Starting from the plant configuration which guarantees the maximum efficiency, the exergoeconomic analysis is iteratively applied with the goal of reducing the unit cost of electricity. The analysis is conducted in a way that cost functions of the components can be substituted with the cost analysis of specific designs. This is a big advantage of this procedure, which is suitable for applications in which economic analysis requires a detailed knowledge of the system characteristics. The procedure is then validated comparing the results with those obtained through mathematical optimization.
The use of Learning Management Systems has grown exponentially in the last several years and has come to have a strong effect on the teaching-learning process, particularly in higher education. The ...present study intends to examine students' asynchronous learning processes via an Educational Data Mining approach using data extracted from the Moodle logs of students who were grouped according to similar behaviors regarding effort, time spent working, and procrastination. The behaviors were then matched with different levels of achievement.
First, the different patterns of students' involvement in the learning process in a Learning Management System were clustered. Second, the different variables selected from the Moodle records were studied to see if they were equally suitable for the configuration of student clusters. Third, the relationships between those patterns to students' final marks were examined.
After analyzing the log data gathered from a Moodle 2.0 course in which 140 undergraduate students were enrolled, four different patterns of learning with different final marks were found. Additional results showed that there are variables more related to achievement and more suitable to group the students on the basis of which the different groups were characterized, namely, two Task Oriented Groups (socially or individually focused) and two Non Task Oriented Groups (procrastinators or non-procrastinators). These results have implications in the design of interventions for improving students' learning processes and achievement in LMSs.
•This work tends to broaden the knowledge about the learning process in LMSs from an EDM approach.•We examine students' interactions with Moodle and their relationship with achievement.•We studied the different interaction patterns of students with the LMS in an authentic learning context.•We identify the variables from the Moodle's records more suitable to difference de students.•We find out patterns of learning related to different achievement.
Improvement of residential environments should be integrated into the system of measures to improve the health of the population taking into account the regional characteristics of a particular area ...and available resources through the methodology of passive healing. The article proposes ways for such integration and provides specific examples of their implementation in practice in Sverdlovsk region municipalities. This approach illustrates the synergistic approach to the implementation of the national project "Housing and Urban Environment" and increases the effectiveness of space in terms of positive effect on the population.
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Fast automotive aerodynamic evaluation can extremely reduce the design cycles of automotive. This paper establishes a rapid simulation model of the automobile flow field based on the ...artificial intelligence surrogate model. The end-to-end network is used to map the geometric model, incoming flow conditions, and result. The decoder is used to splice high-dimensional and low-dimensional features to achieve feature sharing. The average MAE error of the optimal model is 5.249%. The average calculation time of a single example is 1.2968s, which is about 0.62% of CFD solver. The simulation result demonstrate that the deep learning method can not only accelerate the calculation, but also can improve the design efficiency of automobile aerodynamic profile with high accuracy.
There is a strong desire to design and synthesize catalysts that assemble at the oil–water interface to improve the efficiency of biphasic reactions. Anisotropic dumbbell‐shaped bi‐component ...mesoporous carbon–organosilica Janus particles with asymmetric wettability are synthesized through a one‐step compartmentalized growth of a mesoporous organosilica sphere attached to a mesoporous resorcinol–formaldehyde (RF) sphere. A library was prepared of tunable Janus particles possessing diverse hollow structures with various functionalities. As a proof of concept, the Janus particle‐derived catalyst can assemble at the oil–water interface to stabilize Pickering emulsions. Owing to the increased reaction interface area, the Janus catalyst exhibits a more than three‐fold increase in catalytic efficiency compared to the Pt loaded carbon sphere catalyst in aqueous hydrogenation reactions.
Anisotropic dumbbell‐shaped bi‐component mesoporous carbon–organosilica Janus particles with asymmetric wettability were synthesized through a one‐step compartmentalized growth of a mesoporous organosilica sphere attached to a mesoporous resorcinol–formaldehyde sphere. This catalyst assembles at the oil–water interface to stabilize Pickering emulsions, resulting in catalysis efficiency enhancement in aqueous hydrogenation reactions.
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•Improved biotechnologies facilitates the recovery of critical metals.•Surface-displaying of metal binding proteins enhances selectivity and recovery.•Two-steps bioleaching ...contributes to recovery of critical metals.•Combination of biological techniques is a promising strategy for high recovery.
Wastes containing critical metals are generated in various fields, such as energy and computer manufacturing. Metal-bearing wastes are considered as secondary sources of critical metals. The conventional physicochemical methods of metals recovery are energy-intensive and cause further pollution. Low-cost and eco-friendly technologies including biosorbents, bioelectrochemical systems (BESs), bioleaching, and biomineralization, have become alternatives in the recovery of critical metals. However, a relatively low recovery rate and selectivity severely hinder their large-scale applications. Researchers have expanded their focus to exploit novel strain resources and strategies to improve the biorecovery efficiency. The mechanisms and potential applicability of modified biological techniques for improving the recovery of critical metals need more attention. Hence, this review summarize and compare the strategies that have been developed for critical metals recovery, and provides useful insights for energy-efficient recovery of critical metals in future industrial applications.
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