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Processes, Volume 7, Issue 12

December 2019 - 105 articles

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Cover Story: The University of Perugia, Department of Engineering is managing different activities in the field of biogas production through anaerobic digestion. The Department is coordinating a LIFE 2016 project named i-REXFO on waste food reduction and reuse. In addition to this, the University of Perugia has tested an incubation system coupled to an anaerobic digestion reactor to enhance biogas and methane production. This underlines even more the importance of pretreatment on feedstock to promote anaerobic digestion process intensification (intended as all the techniques which can increase process efficiency and sustainability).View this paper.

Articles (105)

  • Feature Paper
  • Article
  • Open Access
11 Citations
4,100 Views
16 Pages
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An Analysis of Antimicrobial Resistance of Clinical Pathogens from Historical Samples for Six Countries

  • Karen Li,
  • Joanna Zheng,
  • Thomas Deng,
  • James Peng,
  • Dagmar Daniel,
  • Qian Jia and
  • Zuyi Huang
Processes2019, 7(12), 964;https://doi.org/10.3390/pr7120964

17 December 2019

The spread of antimicrobial resistance pathogens in humans has increasingly become an issue that threatens public health. While the NCBI Pathogen Detection Isolates Browser (NPDIB) database has been collecting clinical isolate samples over time for v...

Full Article
  • Feature Paper
  • Review
  • Open Access
49 Citations
9,507 Views
19 Pages
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Plant and Biomass Extraction and Valorisation under Hydrodynamic Cavitation

  • Zhilin Wu,
  • Daniele F. Ferreira,
  • Daniele Crudo,
  • Valentina Bosco,
  • Livio Stevanato,
  • Annalisa Costale and
  • Giancarlo Cravotto
Processes2019, 7(12), 965;https://doi.org/10.3390/pr7120965

17 December 2019

Hydrodynamic cavitation (HC) is a green technology that has been successfully used to intensify a number of process. The cavitation phenomenon is responsible for many effects, including improvements in mass transfer rates and effective cell-wall rupt...

Full Article
  • Feature Paper
  • Article
  • Open Access
35 Citations
8,369 Views
15 Pages
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Characterizing a Newly Designed Steel-Wool-Based Household Filter for Safe Drinking Water Provision: Hydraulic Conductivity and Efficiency for Pathogen Removal

  • Raoul Tepong-Tsindé,
  • Arnaud Igor Ndé-Tchoupé,
  • Chicgoua Noubactep,
  • Achille Nassi and
  • Hans Ruppert
Processes2019, 7(12), 966;https://doi.org/10.3390/pr7120966

17 December 2019

This study characterizes the decrease of the hydraulic conductivity (permeability loss) of a metallic iron-based household water filter (Fe0 filter) for a duration of 12 months. A commercial steel wool (SW) is used as Fe0 source. The Fe0 unit contain...

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  • Feature Paper
  • Article
  • Open Access
15 Citations
3,624 Views
19 Pages
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Improvement of Refrigeration Efficiency by Combining Reinforcement Learning with a Coarse Model

  • Dapeng Zhang and
  • Zhiwei Gao
Processes2019, 7(12), 967;https://doi.org/10.3390/pr7120967

17 December 2019

It is paramount to improve operational conversion efficiency in air-conditioning refrigeration. It is noticed that control efficiency for model-based methods highly relies on the accuracy of the mechanism model, and data-driven methods would face cha...

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  • Article
  • Open Access
9 Citations
5,044 Views
10 Pages
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Process Modeling, Optimization, and Heat Integration of Ethanol Reforming Process for Syngas Production with High H2/CO Ratio

  • Dong Xiang,
  • Peng Li and
  • Xiaoyou Yuan
Processes2019, 7(12), 960;https://doi.org/10.3390/pr7120960

16 December 2019

The process modeling, parameter optimization, and heat integration of reforming ethanol to hydrogen is conducted in this paper. Modeling results show that the optimum reaction pressure for ethanol steam reforming is 1 bar. When the 7.4:1 is selected...

Full Article
  • Article
  • Open Access
6 Citations
3,056 Views
13 Pages
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Multi-Time-Scale Rolling Optimal Dispatch for Grid-Connected AC/DC Hybrid Microgrids

  • Zhao Luo,
  • Zhendong Zhu,
  • Zhiyuan Zhang,
  • Jinghui Qin,
  • Hao Wang,
  • Zeyong Gao and
  • Zhichao Yang
Processes2019, 7(12), 961;https://doi.org/10.3390/pr7120961

16 December 2019

In order to reduce the impact of the randomness and volatility of renewable energy on the economic operation of AC/DC hybrid microgrids, a multi-time-scale rolling optimization strategy is proposed for the grid-connected AC/DC hybrid microgrids. It c...

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  • Article
  • Open Access
40 Citations
3,680 Views
24 Pages
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Nonlinear Thermal Radiation and Chemical Reaction Effects on a (Cu−CuO)/NaAlg Hybrid Nanofluid Flow Past a Stretching Curved Surface

  • Naveed Ahmed,
  • Fitnat Saba,
  • Umar Khan,
  • Syed Tauseef Mohyud-Din,
  • El-Sayed M. Sherif and
  • Ilyas Khan
Processes2019, 7(12), 962;https://doi.org/10.3390/pr7120962

16 December 2019

The boundary layer flow of sodium alginate ( NaAlg ) based ( Cu − CuO ) hybrid nanofluid, over a curved expanding surface, has been investigated. Heat and mass transport phenomena have also been analyzed. Moreover, the i...

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  • Article
  • Open Access
16 Citations
5,534 Views
16 Pages
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Baicalein-Enriched Fraction Extracted from Oroxylum indicum (L.) Benth. ex Kurz Leaves Exerts Antioxidant and Inhibitory Effects Against Glioblastoma Multiforme

  • In Nee Kang,
  • Nik Nur Hakimah Nik Salleh,
  • Wan Jie Chung,
  • Chong Yew Lee and
  • Suat Cheng Tan
Processes2019, 7(12), 963;https://doi.org/10.3390/pr7120963

16 December 2019

Glioblastoma multiforme (GBM) is the most malignant subtype of primary brain cancer. To date, standard clinical treatment for GBM is limited in effectiveness and could impose additional side effects. Recently, numerous bioactive compounds isolated fr...

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  • Feature Paper
  • Article
  • Open Access
23 Citations
4,448 Views
14 Pages
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Data Augmentation Applied to Machine Learning-Based Monitoring of a Pulp and Paper Process

  • Andréa Pereira Parente,
  • Maurício Bezerra de Souza Jr.,
  • Andrea Valdman and
  • Rossana Odette Mattos Folly
Processes2019, 7(12), 958;https://doi.org/10.3390/pr7120958

15 December 2019

Industrial archived process data represent a convenient source of information for data-driven models, such as artificial neural network (ANN), that can be used for safety and efficiency improvement like early or even predictive fault detection and di...

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  • Article
  • Open Access
9 Citations
4,325 Views
19 Pages
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Investigating the In-Flow Characteristics of Multi-Operation Conditions of Cross-Flow Fan in Air Conditioning Systems

  • Weijie Zhang,
  • Jianping Yuan,
  • Qiaorui Si and
  • Yanxia Fu
Processes2019, 7(12), 959;https://doi.org/10.3390/pr7120959

15 December 2019

Cross-flow fans are widely used in numerous applications such as low-pressure ventilation, household appliances, laser instruments, and air-conditioning equipment. Cross-flow fans have superior characteristics, including simple structure, small size,...

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