scholarly journals Up-scalable emerging energy conversion technologies enabled by 2D materials: From miniature power harvesters towards grid-connected energy systems

2021 ◽  
Author(s):  
Konstantinos ROGDAKIS ◽  
Nikolaos Karakostas ◽  
Emmanuel Kymakis
Keyword(s):  
Energy Conversion ◽  
High Throughput ◽  
Large Scale ◽  
2D Materials ◽  
Energy Systems ◽  
Conversion Technologies

Breakthrough discoveries in high-throughput formulation of abundant materials and advanced engineering approaches are both in utter need as prerequisites for developing novel large-scale energy conversion technologies required to address our...

scholarly journals Correction: Up-scalable emerging energy conversion technologies enabled by 2D materials: from miniature power harvesters towards grid-connected energy systems

2021 ◽  
Author(s):  
Konstantinos Rogdakis ◽  
Nikolaos Karakostas ◽  
Emmanuel Kymakis
Keyword(s):  
Energy Conversion ◽  
2D Materials ◽  
Energy Systems ◽  
Conversion Technologies ◽  
Energy Environ

Correction for ‘Up-scalable emerging energy conversion technologies enabled by 2D materials: from miniature power harvesters towards grid-connected energy systems’ by Konstantinos Rogdakis et al., Energy Environ. Sci., 2021, DOI: 10.1039/d0ee04013d.

scholarly journals Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3041 ◽  
Author(s):  
Seongho Ahn ◽  
Kevin A. Haas ◽  
Vincent S. Neary
Keyword(s):  
United States ◽  
Energy Conversion ◽  
Wave Energy ◽  
Coastal Waters ◽  
Energy Systems ◽  
The United States ◽  
Wave Energy Conversion ◽  
Peak Period ◽  
Dominant Wave ◽  
Conversion Technologies

Opportunities and constraints for wave energy conversion technologies and projects are evaluated by identifying and characterizing the dominant wave energy systems for United States (US) coastal waters using marginal and joint distributions of the wave energy in terms of the peak period, wave direction, and month. These distributions are computed using partitioned wave parameters generated from a 30 year WaveWatch III model hindcast, and regionally averaged to identify the dominant wave systems contributing to the total annual available energy ( A A E ) for eleven distinct US wave energy climate regions. These dominant wave systems are linked to the wind systems driving their generation and propagation. In addition, conditional resource parameters characterizing peak period spread, directional spread, and seasonal variability, which consider dependencies of the peak period, direction, and month, are introduced to augment characterization methods recommended by international standards. These conditional resource parameters reveal information that supports project planning, conceptual design, and operation and maintenance. The present study shows that wave energy resources for the United States are dominated by long-period North Pacific swells (Alaska, West Coast, Hawaii), short-period trade winds and nor’easter swells (East Coast, Puerto Rico), and wind seas (Gulf of Mexico). Seasonality, peak period spread, and directional spread of these dominant wave systems are characterized to assess regional opportunities and constraints for wave energy conversion technologies targeting the dominant wave systems.

scholarly journals Tribological design constraints of marine renewable energy systems

2010 ◽  
Vol 368 (1929) ◽  
pp. 4807-4827 ◽  
Author(s):  
Robert J. K. Wood ◽  
AbuBakr S. Bahaj ◽  
Stephen R. Turnock ◽  
Ling Wang ◽  
Martin Evans
Keyword(s):  
Renewable Energy ◽  
Energy Conversion ◽  
Energy Systems ◽  
Offshore Wind ◽  
Marine Renewable Energy ◽  
Energy Demands ◽  
Marine Energy ◽  
Energy Conversion Systems ◽  
Tidal Streams ◽  
Conversion Technologies

Against the backdrop of increasing energy demands, the threat of climate change and dwindling fuel reserves, finding reliable, diverse, sustainable/renewable, affordable energy resources has become a priority for many countries. Marine energy conversion systems are at the forefront of providing such a resource. Most marine renewable energy conversion systems require tribological components to convert wind or tidal streams to rotational motion for generating electricity while wave machines typically use oscillating hinge or piston within cylinder geometries to promote reciprocating linear motion. This paper looks at the tribology of three green marine energy systems, offshore wind, tidal and wave machines. Areas covered include lubrication and contamination, bearing and gearbox issues, biofouling, cavitation erosion, tribocorrosion, condition monitoring as well as design trends and loading conditions associated with tribological components. Current research thrusts are highlighted along with areas needing research as well as addressing present-day issues related to the tribology of offshore energy conversion technologies.

scholarly journals Coarse typological studies on urban program and density defined by various urban energy conversion technologies in Singapore

2017 ◽  
Author(s):  
Zhongming Shi ◽  
Shanshan Hsieh ◽  
Bhargava Krishna Sreepathi ◽  
Jimeno A. Fonseca ◽  
François Maréchal ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Urban Area ◽  
Urban Form ◽  
Energy Demand ◽  
Energy Systems ◽  
Energy Performance ◽  
Energy Technologies ◽  
New Energy ◽  
Urban Energy ◽  
Conversion Technologies

Coarse typological studies on urban program and density defined by various urban energy conversion technologies in Singapore.  Zhongming Shi1,2, Shanshan Hsieh1,2,3, Bhargava Krishna Sreepathi1,2, Jimeno A. Fonseca1,2, François Maréchal1,3, Arno Schlueter1,2 1 Future Cities Laboratory, Singapore-ETH Centre, 1 Create Way, CREATE Tower, 138602 Singapore 2 Architecture and Building Systems, Institute of Technology in Architecture, ETH Zurich, John-von-Neumann-Weg 9, CH-8093 Zurich, Switzerland 3 Industrial Process and Energy Systems Engineering Group, Ecole Polytechnique Federale de Lausanne, Lausanne 1015, Switzerland E-mail: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]   Keywords: Urban typology, urban form, energy technology, urban program, density   Conference topics and scale: Efficient use of resources in sustainable cities   Cities consume about three quarters of global primary energy. Compared to the beginning of the Twentieth Century, the urban area is expected to triple by 2030. The future urban energy performance is substantially influenced by how the urban area is planned, designed, and built. New energy technologies have enabled new possibilities of the urban form. For example, a district cooling system can free the building rooftops for more architectural design options, like an infinity pool or a sky garden. Vice versa, to maximize the energy performance, some new energy technologies enforce some specific requirements on the urban forms, like the urban form and density. We apply a Mixed Integer Linear Programming (MILP) formulation to identify the optimal allocation of energy demand density and energy systems (e.g. district cooling network) subject to resource availability and energy (or environmental) performance targets (e.g. renewable share). The optimized energy demand density can be translated into urban program combinations and density ranges and gradients. To build the model, we survey the prevailing energy conversion technologies and their costs. Based on the local standards of Singapore, we derive the energy profiles and demand densities of buildings with different programs. We adopt a real case study in Singapore to test the target energy technologies. Adjacent to the existing central business district, the site, currently a container terminal, has an area around 1,000 hectares. Upon the relocation of the terminal in 10 years, the energy technologies, the density, and the program of the site have a variety of possibilities.   This paper builds a series of coarse urban typologies in terms of urban program and density when adopting different urban energy conversion technologies in Singapore. Furthermore, the general density and the density gradient may vary when the size of these energy infrastructures alters. In an integrated urban design process involving energy considerations, the urban designer can refer these urban typologies for rules on the general density, the density gradient, and the urban program combination based on the selected energy technologies. On the other way, these urban typologies can also help on the selection of energy technologies to accommodate the target urban density and program.   References (100 words) Ratti, C., Baker, N., and Steemers, K. (2005). Energy consumption and urban texture. Energy Build. 37, 762–776. Salat, S. (2009). Energy loads, CO2 emissions and building stocks: morphologies, typologies, energy systems and behaviour. Build. Res. Inf. 37, 598–609. Seto, K.C., Güneralp, B., and Hutyra, L.R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proc. Natl. Acad. Sci. U. S. A. 109, 16083–16088. UN-Habitat (2012). Energy. [Online]. Available: http://unhabitat.org/urban-themes/energy. [Accessed:08-Nov-2016].           

Accelerated Discovery of High-Refractive-Index Polyimides via First-Principles Molecular Modeling, Virtual High-Throughput Screening, and Data Mining

2019 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann
Keyword(s):  
Data Mining ◽  
Refractive Index ◽  
High Throughput ◽  
First Principles ◽  
High Throughput Screening ◽  
Large Scale ◽  
Computational Study ◽  
High Refractive Index ◽  
Structural Features ◽  
Learning Program

<div>We present a high-throughput computational study to identify novel polyimides (PIs) with exceptional refractive index (RI) values for use as optic or optoelectronic materials. Our study utilizes an RI prediction protocol based on a combination of first-principles and data modeling developed in previous work, which we employ on a large-scale PI candidate library generated with the ChemLG code. We deploy the virtual screening software ChemHTPS to automate the assessment of this extensive pool of PI structures in order to determine the performance potential of each candidate. This rapid and efficient approach yields a number of highly promising leads compounds. Using the data mining and machine learning program package ChemML, we analyze the top candidates with respect to prevalent structural features and feature combinations that distinguish them from less promising ones. In particular, we explore the utility of various strategies that introduce highly polarizable moieties into the PI backbone to increase its RI yield. The derived insights provide a foundation for rational and targeted design that goes beyond traditional trial-and-error searches.</div>

Next-Generation Sequencing: An Emerging Tool for Drug Designing

2019 ◽  
Vol 25 (31) ◽  
pp. 3350-3357 ◽  
Author(s):  
Pooja Tripathi ◽  
Jyotsna Singh ◽  
Jonathan A. Lal ◽  
Vijay Tripathi
Keyword(s):  
Next Generation Sequencing ◽  
High Throughput ◽  
Large Scale ◽  
Massively Parallel Sequencing ◽  
Genomic Research ◽  
Biological Research ◽  
Next Generation ◽  
Human Welfare ◽  
Drug Designing ◽  
Generation Sequencing

Background: With the outbreak of high throughput next-generation sequencing (NGS), the biological research of drug discovery has been directed towards the oncology and infectious disease therapeutic areas, with extensive use in biopharmaceutical development and vaccine production. Method: In this review, an effort was made to address the basic background of NGS technologies, potential applications of NGS in drug designing. Our purpose is also to provide a brief introduction of various Nextgeneration sequencing techniques. Discussions: The high-throughput methods execute Large-scale Unbiased Sequencing (LUS) which comprises of Massively Parallel Sequencing (MPS) or NGS technologies. The Next geneinvolved necessarily executes Largescale Unbiased Sequencing (LUS) which comprises of MPS or NGS technologies. These are related terms that describe a DNA sequencing technology which has revolutionized genomic research. Using NGS, an entire human genome can be sequenced within a single day. Conclusion: Analysis of NGS data unravels important clues in the quest for the treatment of various lifethreatening diseases and other related scientific problems related to human welfare.

Large-scale High-throughput Screening Revealed 5'-(carbonylamino)-2,3'- bithiophene-4'-carboxylate as Novel Template for Antibacterial Agents

2020 ◽  
Vol 17 (5) ◽  
pp. 716-724
Author(s):  
Yan A. Ivanenkov ◽  
Renat S. Yamidanov ◽  
Ilya A. Osterman ◽  
Petr V. Sergiev ◽  
Vladimir A. Aladinskiy ◽  
...  
Keyword(s):  
Antibacterial Activity ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Antibacterial Agents ◽  
Sos Response ◽  
Luciferase Assay ◽  
Translational Machinery ◽  
E Coli ◽  
New Class

Background: The key issue in the development of novel antimicrobials is a rapid expansion of new bacterial strains resistant to current antibiotics. Indeed, World Health Organization has reported that bacteria commonly causing infections in hospitals and in the community, e.g. E. Coli, K. pneumoniae and S. aureus, have high resistance vs the last generations of cephalosporins, carbapenems and fluoroquinolones. During the past decades, only few successful efforts to develop and launch new antibacterial medications have been performed. This study aims to identify new class of antibacterial agents using novel high-throughput screening technique. Methods: We have designed library containing 125K compounds not similar in structure (Tanimoto coeff.< 0.7) to that published previously as antibiotics. The HTS platform based on double reporter system pDualrep2 was used to distinguish between molecules able to block translational machinery or induce SOS-response in a model E. coli system. MICs for most active chemicals in LB and M9 medium were determined using broth microdilution assay. Results: In an attempt to discover novel classes of antibacterials, we performed HTS of a large-scale small molecule library using our unique screening platform. This approach permitted us to quickly and robustly evaluate a lot of compounds as well as to determine the mechanism of action in the case of compounds being either translational machinery inhibitors or DNA-damaging agents/replication blockers. HTS has resulted in several new structural classes of molecules exhibiting an attractive antibacterial activity. Herein, we report as promising antibacterials. Two most active compounds from this series showed MIC value of 1.2 (5) and 1.8 μg/mL (6) and good selectivity index. Compound 6 caused RFP induction and low SOS response. In vitro luciferase assay has revealed that it is able to slightly inhibit protein biosynthesis. Compound 5 was tested on several archival strains and exhibited slight activity against gram-negative bacteria and outstanding activity against S. aureus. The key structural requirements for antibacterial potency were also explored. We found, that the unsubstituted carboxylic group is crucial for antibacterial activity as well as the presence of bulky hydrophobic substituents at phenyl fragment. Conclusion: The obtained results provide a solid background for further characterization of the 5'- (carbonylamino)-2,3'-bithiophene-4'-carboxylate derivatives discussed herein as new class of antibacterials and their optimization campaign.

scholarly journals Large-Scale, High-Throughput Validation of Short Hairpin RNA Sequences for RNA Interference

2006 ◽  
Vol 11 (3) ◽  
pp. 236-246 ◽  
Author(s):  
Laurence H. Lamarcq ◽  
Bradley J. Scherer ◽  
Michael L. Phelan ◽  
Nikolai N. Kalnine ◽  
Yen H. Nguyen ◽  
...  
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Strong Support ◽  
Gc Content ◽  
Rapid Identification ◽  
Hairpin Rna ◽  
Rna Sequences ◽  
Short Hairpin ◽  
Short Hairpin Rnas ◽  
Interfering Rna

A method for high-throughput cloning and analysis of short hairpin RNAs (shRNAs) is described. Using this approach, 464 shRNAs against 116 different genes were screened for knockdown efficacy, enabling rapid identification of effective shRNAs against 74 genes. Statistical analysis of the effects of various criteria on the activity of the shRNAs confirmed that some of the rules thought to govern small interfering RNA (siRNA) activity also apply to shRNAs. These include moderate GC content, absence of internal hairpins, and asymmetric thermal stability. However, the authors did not find strong support for positionspecific rules. In addition, analysis of the data suggests that not all genes are equally susceptible to RNAinterference (RNAi).

scholarly journals Identification of a juvenile-hormone signaling inhibitor via high-throughput screening of a chemical library

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Takumi Kayukawa ◽  
Kenjiro Furuta ◽  
Keisuke Nagamine ◽  
Tetsuro Shinoda ◽  
Kiyoaki Yonesu ◽  
...  
Keyword(s):  
Juvenile Hormone ◽  
Cell Line ◽  
Signaling Pathway ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Ex Vivo ◽  
Agricultural Field ◽  
Chemical Library ◽  
Field Development

Abstract Insecticide resistance has recently become a serious problem in the agricultural field. Development of insecticides with new mechanisms of action is essential to overcome this limitation. Juvenile hormone (JH) is an insect-specific hormone that plays key roles in maintaining the larval stage of insects. Hence, JH signaling pathway is considered a suitable target in the development of novel insecticides; however, only a few JH signaling inhibitors (JHSIs) have been reported, and no practical JHSIs have been developed. Here, we established a high-throughput screening (HTS) system for exploration of novel JHSIs using a Bombyx mori cell line (BmN_JF&AR cells) and carried out a large-scale screening in this cell line using a chemical library. The four-step HTS yielded 69 compounds as candidate JHSIs. Topical application of JHSI48 to B. mori larvae caused precocious metamorphosis. In ex vivo culture of the epidermis, JHSI48 suppressed the expression of the Krüppel homolog 1 gene, which is directly activated by JH-liganded receptor. Moreover, JHSI48 caused a parallel rightward shift in the JH response curve, suggesting that JHSI48 possesses a competitive antagonist-like activity. Thus, large-scale HTS using chemical libraries may have applications in development of future insecticides targeting the JH signaling pathway.

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