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  • Books  (25)
  • Basel, Beijing, Wuhan : MDPI  (25)
  • Energy, Environment Protection, Nuclear Power Engineering  (25)
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  • Electrical Engineering, Measurement and Control Technology
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  • Books  (25)
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  • 1
    Unknown
    Hydrides: Fundamentals and Applications (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: metal hydride ; complex hydride ; hydrogen storage ; hydrogen sensor ; electrochemical application ; ionic conductors ; energy storage
    Description / Table of Contents: The reversible elimination of hydrogen from metal hydrides serves as the basis for unique methods of energy transformation. This technology has found widespread practical utilization in applications such as hydrogen compressors, storage, and sensors, as well as batteries. Moreover, it is plausible that metal hydride technology could be utilized to provide practically viable solutions to the challenges of energy storage. For nearly two decades, an extensive, worldwide research effort has been devoted to complex metal hydrides possessing high volumetric and/or gravimetric hydrogen densities with the goal of their practical utilization as onboard hydrogen storage materials. Additionally, a significant and growing number of efforts have been devoted to developing metal hydrides as advanced sensors and ionic conductors, and for electrochemical and stationary energy storage. This Special Issue will provide a sampling of on-going, state-of-art research on metal hydrides, ranging from fundamental investigations to practical applications with a concentration on topics which are currently of high interest.
    Pages: Online-Ressource (XVI, 252 Seiten)
    Edition: Printed Edition of the Special Issue Published in Energies
    ISBN: 9783038422099
    URL: http://www.mdpi.com/books/pdfview/book/259
    Language: English
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  • 2
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    Rare Earth and Actinide Complexes (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: Organometallic chemistry ; Reactivity ; Catalysis ; Theoretical studies ; Health and medical applications ; Electronic and magnetic properties ; Environmental aspects ; Understanding products generated in the nuclear industry
    Description / Table of Contents: As the fields of organometallic and coordination chemistry of the transition metals has grown more mature, the under-explored chemistry of the rare-earths and actinides has drawn the attention of research groups from across the globe looking for new fundamental discoveries and access to compounds with unique properties. The rare earths – the group 3 metals and the 4f lanthanide series – have long shown many interesting properties in the solid state which exploit their unique electronic configurations. However, it is the molecular chemistry of these metals that has expanded dramatically in recent years as researchers identify the differences between – and unique features of – their molecular compounds. Recent highlights include the identification of new oxidation states and patterns of reactivity as well as applications in medical imaging and health care which represent new and exciting areas of research. The actinides show a wide range of different properties as a consequence of their radioactivity and radiochemistry, but this has not stopped recent rapid progress into the exploration of their unique chemistry. Uranium, in particular, shows huge potential with its transition metal like range of oxidation states (+2 to +6), and in specialised laboratories, the heavier actinides are also beginning to show their unique chemistry as well. This Special Issue aims to bring together these strands of research in an openly-accessible way to allow better communication of these advances to a wider audience. This is necessary as despite these exciting advances, the rare earths and actinides are still much neglected topics in both school and undergraduate curriculums.
    Pages: Online-Ressource (X, 254 Seiten)
    Edition: Printed Edition of the Special Issue Published in Inorganics
    ISBN: 9783038423294
    URL: http://www.mdpi.com/books/pdfview/book/256
    Language: English
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  • 3
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    Calibration/Validation of Visible Infrared Imaging Radiometers and Applications (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: remote sensing ; Suomi NPP ; calibration and validation ; validation of environmental data products ; radiance, reflectance and brightness temperature validation ; onboard calibration with solar diffuser and blackbody ; calibration algorithms and methodologies ; radiative transfer models ; SI traceability ; field campaigns and aircraft underflight
    Description / Table of Contents: The success of the Suomi National Polar-orbiting Partnership (NPP) brings us into a new era of global daily Earth observations, ranging from the faintest light of human settlements and air glows to the dramatic events of hurricanes and forest fires, as well as the subtle changes in the planet Earth which we call home. At the heart of all satellite applications, calibration/validation of the measurements and derived products is the key. Satellite product calibration and validation have become increasingly more important and challenging in order to meet the stringent requirements for accurate quantitative data for climate change detection, numerical weather prediction, and environmental intelligence. Validation is required not only for the satellite measurements, but also for all geophysical retrievals, including aerosols, cloud properties, radiation budget, sea surface temperature, ocean color, active fire, albedo, snow and ice, vegetation, as well as nightlights from human settlements. Active validation research includes but not limited to, comparisons with similar products from other satellites, with in situ, aircraft measurements, or observations from other platforms. Validation results not only help users and decision makers but also serve as feedback to calibration, which in turn improves the products. This Special Issue of Remote Sensing aims at exploring recent results in the calibration and validation of the Suomi National Polar-orbiting Partnership satellite (Suomi NPP)/JPSS radiometers.
    Pages: Online-Ressource (X, 548 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038423195
    URL: http://www.mdpi.com/books/pdfview/book/255
    Language: English
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  • 4
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    Air Quality and Source Apportionment (2016)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: air quality
    Description / Table of Contents: Atmospheric particulate matter (PM) is known to have far-ranging impacts, from human health to climate forcing. The characterization of emission sources and the quantification of specific source impacts to PM concentrations significantly enhance our understanding of and our ability to eventually predict the fate and transport of atmospheric PM and its associated impacts on humans and the environment. The source apportionment of PM has been realized through combinations of chemical analysis (of elemental tracers, particle size, isotopic composition, and organic composition via unique tracers and molecular fingerprints) and numerical modeling (e.g., diagnostic source ratios, chemical mass balance modeling, positive matrix factorization, and Monte Carlo simulations). Recent advances in source apportionment applications have contributed unique combinations of chemical and numerical techniques for determining the contributions of specific sources, including diesel exhaust and biomass burning. These advances also identify and help characterize the contributions of previously uncharacterized sources. Numerical modeling has also enabled estimations of contributions of emission sources to atmospherically processed PM in urban and rural regions.
    Pages: Online-Ressource (XVI, 226 Seiten)
    Edition: Printed Edition of the Special Issue Published in Atmosphere
    ISBN: 9783038422990
    URL: http://www.mdpi.com/books/pdfview/book/239
    Language: English
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  • 5
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    Biomass Chars : Elaboration, Characterization and Applications (2018)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: biomass ; thermochemical conversion ; chars ; morphological ; textural and structural properties ; surface chemistry ; gasification ; soil amendment ; reactivity
    Description / Table of Contents: Zambon, I.; Colosimo, F.; Monarca, D.; Cecchini, M.; Gallucci, F.; Proto, A.; Lord, R.; Colantoni, A. An Innovative Agro-Forestry Supply Chain for Residual Biomass: Physicochemical Characterisation of Biochar from Olive and Hazelnut Pellets. Energies 2016, 9(7), 526; doi:10.3390/en9070526. http://www.mdpi.com/1996-1073/9/7/526 --- Liu, P.; Wang, Q.; Yan, D.; Fang, W.; Mao, L.; Wang, D.; Li, Y.; Ouyang, C.; Guo, M.; Cao, A. Effects of Biochar Amendment on Chloropicrin Adsorption and Degradation in Soil. Energies 2016, 9(11), 869; doi:10.3390/en9110869. http://www.mdpi.com/1996-1073/9/11/869 --- Fang, W.; Cao, A.; Yan, D.; Han, D.; Huang, B.; Li, J.; Liu, X.; Guo, M.; Wang, Q. The Effect of Two Types of Biochars on the Efficacy, Emission, Degradation, and Adsorption of the Fumigant Methyl Isothiocyanate. Energies 2017, 10(1), 16; doi:10.3390/en10010016. http://www.mdpi.com/1996-1073/10/1/16 --- Long, J.; Boyette, M. Analysis of Micronized Charcoal for Use in a Liquid Fuel Slurry. Energies 2017, 10(1), 25; doi:10.3390/en10010025. http://www.mdpi.com/1996-1073/10/1/25 --- Fuente-Hernández, A.; Lee, R.; Béland, N.; Zamboni, I.; Lavoie, J. Reduction of Furfural to Furfuryl Alcohol in Liquid Phase over a Biochar-Supported Platinum Catalyst. Energies 2017, 10(3), 286; doi:10.3390/en10030286. http://www.mdpi.com/1996-1073/10/3/286 --- Brassard, P.; Godbout, S.; Raghavan, V.; Palacios, J.; Grenier, M.; Zegan, D. The Production of Engineered Biochars in a Vertical Auger Pyrolysis Reactor for Carbon Sequestration. Energies 2017, 10(3), 288; doi:10.3390/en10030288. http://www.mdpi.com/1996-1073/10/3/288 --- González-Vázquez, M.; García, R.; Pevida, C.; Rubiera, F. Optimization of a Bubbling Fluidized Bed Plant for Low-Temperature Gasification of Biomass. Energies 2017, 10(3), 306; doi:10.3390/en10030306. http://www.mdpi.com/1996-1073/10/3/306 --- Yang, X.; Wang, H.; Strong, P.; Xu, S.; Liu, S.; Lu, K.; Sheng, K.; Guo, J.; Che, L.; He, L.; Ok, Y.; Yuan, G.; Shen, Y.; Chen, X. Thermal Properties of Biochars Derived from Waste Biomass Generated by Agricultural and Forestry Sectors. Energies 2017, 10(4), 469; doi:10.3390/en10040469. http://www.mdpi.com/1996-1073/10/4/469 --- Ellison, C.; McKeown, M.; Trabelsi, S.; Boldor, D. Dielectric Properties of Biomass/Biochar Mixtures at Microwave Frequencies. Energies 2017, 10(4), 502; doi:10.3390/en10040502. http://www.mdpi.com/1996-1073/10/4/502 --- Kang, S.; Sim, B.; Kim, J. Volume and Mass Measurement of a Burning Wood Pellet by Image Processing. Energies 2017, 10(5), 603; doi:10.3390/en10050603. http://www.mdpi.com/1996-1073/10/5/603 --- Tamošiūnas, A.; Chouchène, A.; Valatkevičius, P.; Gimžauskaitė, D.; Aikas, M.; Uscila, R.; Ghorbel, M.; Jeguirim, M. The Potential of Thermal Plasma Gasification of Olive Pomace Charcoal. Energies 2017, 10(5), 710; doi:10.3390/en10050710. http://www.mdpi.com/1996-1073/10/5/710 --- Guizani, C.; Jeguirim, M.; Valin, S.; Limousy, L.; Salvador, S. Biomass Chars: The Effects of Pyrolysis Conditions on Their Morphology, Structure, Chemical Properties and Reactivity. Energies 2017, 10(6), 796; doi:10.3390/en10060796. http://www.mdpi.com/1996-1073/10/6/796 --- Zhao, S.; Ta, N.; Wang, X. Effect of Temperature on the Structural and Physicochemical Properties of Biochar with Apple Tree Branches as Feedstock Material. Energies 2017, 10(9), 1293; doi:10.3390/en10091293. http://www.mdpi.com/1996-1073/10/9/1293 --- Wanassi, B.; Hariz, I.; Ghimbeu, C.; Vaulot, C.; Jeguirim, M. Green Carbon Composite-Derived Polymer Resin and Waste Cotton Fibers for the Removal of Alizarin Red S Dye. Energies 2017, 10(9), 1321; doi:10.3390/en10091321. http://www.mdpi.com/1996-1073/10/9/1321 --- Ghouma, I.; Jeguirim, M.; Sager, U.; Limousy, L.; Bennici, S.; Däuber, E.; Asbach, C.; Ligotski, R.; Schmidt, F.; Ouederni, A. The Potential of Activated Carbon Made of Agro-Industrial Residues in NOx Immissions Abatement. Energies 2017, 10(10), 1508; doi:10.3390/en10101508. http://www.mdpi.com/1996-1073/10/10/1508 --- Jeguirim, M.; Limousy, L. Biomass Chars: Elaboration, Characterization and Applications. Energies 2017, 10(12), 2040; doi:10.3390/en10122040. http://www.mdpi.com/1996-1073/10/12/2040
    Pages: Online-Ressource (VI, 214 Seiten)
    Edition: Printed Edition of the Special Issue Published in Energies
    ISBN: 9783038426912
    URL: http://www.mdpi.com/books/pdfview/book/493
    Language: English
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  • 6
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    Remote Sensing of Atmospheric Pollution (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: remote sensing ; air pollution ; air pollutant emissions ; satellite data
    Description / Table of Contents: Belle, J.; Liu, Y. Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States. Remote Sens. 2016, 8(10), 815; doi:10.3390/rs8100815. http://www.mdpi.com/2072-4292/8/10/815 --- Sun, K.; Chen, X.; Zhu, Z.; Zhang, T. High Resolution Aerosol Optical Depth Retrieval Using Gaofen-1 WFV Camera Data. Remote Sens. 2017, 9(1), 89; doi:10.3390/rs9010089. http://www.mdpi.com/2072-4292/9/1/89 --- Chen, X.; Yang, D.; Cai, Z.; Liu, Y.; Spurr, R. Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement. Remote Sens. 2017, 9(2), 183; doi:10.3390/rs9020183. http://www.mdpi.com/2072-4292/9/2/183 --- Jiang, M.; Sun, W.; Yang, G.; Zhang, D. Modelling Seasonal GWR of Daily PM2.5 with Proper Auxiliary Variables for the Yangtze River Delta. Remote Sens. 2017, 9(4), 346; doi:10.3390/rs9040346. http://www.mdpi.com/2072-4292/9/4/346 --- Wang, Y.; Chen, L.; Li, S.; Wang, X.; Yu, C.; Si, Y.; Zhang, Z. Interference of Heavy Aerosol Loading on the VIIRS Aerosol Optical Depth (AOD) Retrieval Algorithm. Remote Sens. 2017, 9(4), 397; doi:10.3390/rs9040397. http://www.mdpi.com/2072-4292/9/4/397 --- Wang, W.; Mao, F.; Pan, Z.; Du, L.; Gong, W. Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan. Remote Sens. 2017, 9(5), 403; doi:10.3390/rs9050403. http://www.mdpi.com/2072-4292/9/5/403 --- Zhu, J.; Xia, X.; Wang, J.; Che, H.; Chen, H.; Zhang, J.; Xu, X.; Levy, R.; Oo, M.; Holz, R.; Ayoub, M. Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain. Remote Sens. 2017, 9(5), 432; doi:10.3390/rs9050432. http://www.mdpi.com/2072-4292/9/5/432 --- Dolgii, S.; Nevzorov, A.; Nevzorov, A.; Romanovskii, O.; Kharchenko, O. Intercomparison of Ozone Vertical Profile Measurements by Differential Absorption Lidar and IASI/MetOp Satellite in the Upper Troposphere–Lower Stratosphere. Remote Sens. 2017, 9(5), 447; doi:10.3390/rs9050447. http://www.mdpi.com/2072-4292/9/5/447 --- Liu, L.; Zhang, X.; Xu, W.; Liu, X.; Lu, X.; Wang, S.; Zhang, W.; Zhao, L. Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling. Remote Sens. 2017, 9(5), 467; doi:10.3390/rs9050467. http://www.mdpi.com/2072-4292/9/5/467 --- Chen, W.; Fan, A.; Yan, L. Performance of MODIS C6 Aerosol Product during Frequent Haze-Fog Events: A Case Study of Beijing. Remote Sens. 2017, 9(5), 496; doi:10.3390/rs9050496. http://www.mdpi.com/2072-4292/9/5/496 --- Osorio, M.; Casaballe, N.; Belsterli, G.; Barreto, M.; Gómez, Á.; Ferrari, J.; Frins, E. Plume Segmentation from UV Camera Images for SO2 Emission Rate Quantification on Cloud Days. Remote Sens. 2017, 9(6), 517; doi:10.3390/rs9060517. http://www.mdpi.com/2072-4292/9/6/517 --- Gu, J.; Chen, L.; Yu, C.; Li, S.; Tao, J.; Fan, M.; Xiong, X.; Wang, Z.; Shang, H.; Su, L. Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations. Remote Sens. 2017, 9(6), 519; doi:10.3390/rs9060519. http://www.mdpi.com/2072-4292/9/6/519 --- Wang, Y.; Wang, J.; Levy, R.; Xu, X.; Reid, J. MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water. Remote Sens. 2017, 9(6), 595; doi:10.3390/rs9060595. http://www.mdpi.com/2072-4292/9/6/595 --- Kim, D.; Lee, H.; Hong, H.; Choi, W.; Lee, Y.; Park, J. Estimation of Surface NO2 Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple Regression Models with OMI and AIRS Data. Remote Sens. 2017, 9(6), 627; doi:10.3390/rs9060627. http://www.mdpi.com/2072-4292/9/6/627 --- Qu, Y.; Han, Y.; Wu, Y.; Gao, P.; Wang, T. Study of PBLH and Its Correlation with Particulate Matter from One-Year Observation over Nanjing, Southeast China. Remote Sens. 2017, 9(7), 668; doi:10.3390/rs9070668. http://www.mdpi.com/2072-4292/9/7/668 --- Tosca, M.; Campbell, J.; Garay, M.; Lolli, S.; Seidel, F.; Marquis, J.; Kalashnikova, O. Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations. Remote Sens. 2017, 9(7), 674; doi:10.3390/rs9070674. http://www.mdpi.com/2072-4292/9/7/674 --- Tao, M.; Wang, Z.; Tao, J.; Chen, L.; Wang, J.; Hou, C.; Wang, L.; Xu, X.; Zhu, H. How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?. Remote Sens. 2017, 9(8), 800; doi:10.3390/rs9080800. http://www.mdpi.com/2072-4292/9/8/800 --- Wang, W.; Mao, F.; Du, L.; Pan, Z.; Gong, W.; Fang, S. Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing–Tianjin–Hebei in China. Remote Sens. 2017, 9(8), 858; doi:10.3390/rs9080858. http://www.mdpi.com/2072-4292/9/8/858 --- Yuchechen, A.; Lakkis, S.; Canziani, P. Linear and Non-Linear Trends for Seasonal NO2 and SO2 Concentrations in the Southern Hemisphere (2004−2016). Remote Sens. 2017, 9(9), 891; doi:10.3390/rs9090891. http://www.mdpi.com/2072-4292/9/9/891 --- Qin, K.; Rao, L.; Xu, J.; Bai, Y.; Zou, J.; Hao, N.; Li, S.; Yu, C. Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted Regression Model. Remote Sens. 2017, 9(9), 950; doi:10.3390/rs9090950. http://www.mdpi.com/2072-4292/9/9/950
    Pages: Online-Ressource (X, 342 Seiten)
    Edition: Printed Edition of the Special Issue Published in Remote Sensing
    ISBN: 9783038426417
    URL: http://www.mdpi.com/books/pdfview/book/487
    Language: English
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  • 7
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    Fundamental and Research Frontier of Atmospheric Corrosion (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: climate ; time of wetness ; climate change ; aerosols ; particle induced corrosion ; chloride-rich atmospheres ; de-icing salts ; impact of atmospheric corrosion on the environment (runoff) ; prediction ; modelling ; degradation and conservation of cultural heritage ; weathering steels ; copper (alloys) ; surface coatings ; worldwide atmospheric corrosion research ; new analytical techniques
    Description / Table of Contents: Nishimura, T. Rust Formation Mechanism on Low Alloy Steels after Exposure Test in High Cl− and High SOx Environmen. Materials 2017, 10(2), 199; doi:10.3390/ma10020199. http://www.mdpi.com/1996-1944/10/2/199 --- Chang, T.; Odnevall Wallinder, I.; de la Fuente, D.; Chico, B.; Morcillo, M.; Welter, J.; Leygraf, C. Analysis of Historic Copper Patinas. Influence of Inclusions on Patina Uniformity. Materials 2017, 10(3), 298; doi:10.3390/ma10030298. http://www.mdpi.com/1996-1944/10/3/298 --- Na, O.; Cai, X.; Xi, Y. Corrosion Prediction with Parallel Finite Element Modeling for Coupled Hygro-Chemo Transport into Concrete under Chloride-Rich Environment. Materials 2017, 10(4), 350; doi:10.3390/ma10040350. http://www.mdpi.com/1996-1944/10/4/350 --- Kreislova, K.; Knotkova, D. The Results of 45 Years of Atmospheric Corrosion Study in the Czech Republic. Materials 2017, 10(4), 394; doi:10.3390/ma10040394. http://www.mdpi.com/1996-1944/10/4/394 --- Alcántara, J.; Fuente, D.; Chico, B.; Simancas, J.; Díaz, I.; Morcillo, M. Marine Atmospheric Corrosion of Carbon Steel: A Review. Materials 2017, 10(4), 406; doi:10.3390/ma10040406. http://www.mdpi.com/1996-1944/10/4/406 --- Hosseinpour, S.; Johnson, M. Vibrational Spectroscopy in Studies of Atmospheric Corrosion. Materials 2017, 10(4), 413; doi:10.3390/ma10040413. http://www.mdpi.com/1996-1944/10/4/413 --- Panchenko, Y.; Marshakov, A. Prediction of First-Year Corrosion Losses of Carbon Steel and Zinc in Continental Regions. Materials 2017, 10(4), 422; doi:10.3390/ma10040422. http://www.mdpi.com/1996-1944/10/4/422 --- Chico, B.; de la Fuente, D.; Díaz, I.; Simancas, J.; Morcillo, M. Annual Atmospheric Corrosion of Carbon Steel Worldwide. An Integration of ISOCORRAG, ICP/UNECE and MICAT Databases. Materials 2017, 10(6), 601; doi:10.3390/ma10060601. http://www.mdpi.com/1996-1944/10/6/601 --- Bouchar, M.; Dillmann, P.; Neff, D. New Insights in the Long-Term Atmospheric Corrosion Mechanisms of Low Alloy Steel Reinforcements of Cultural Heritage Buildings. Materials 2017, 10(6), 670; doi:10.3390/ma10060670. http://www.mdpi.com/1996-1944/10/6/670 --- Tidblad, J.; Kreislová, K.; Faller, M.; de la Fuente, D.; Yates, T.; Verney-Carron, A.; Grøntoft, T.; Gordon, A.; Hans, U. ICP Materials Trends in Corrosion, Soiling and Air Pollution (1987–2014). Materials 2017, 10(8), 969; doi:10.3390/ma10080969. http://www.mdpi.com/1996-1944/10/8/969 --- Cole, I. Recent Progress and Required Developments in Atmospheric Corrosion of Galvanised Steel and Zinc. Materials 2017, 10(11), 1288; doi:10.3390/ma10111288. http://www.mdpi.com/1996-1944/10/11/1288
    Pages: Online-Ressource (X, 262 Seiten)
    Edition: Printed Edition of the Special Issue Published in Materials
    ISBN: 9783038426424
    URL: http://www.mdpi.com/books/pdfview/book/485
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  • 8
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    Control of Energy Storage (2017)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: energy storage ; power management and control ; distribution network and transmission network ; storage in interconnected grid systems ; smart grid and optimal control for demand-side management
    Description / Table of Contents: Fu, R.; Wu, Y.; Wang, H.; Xie, J. A Distributed Control Strategy for Frequency Regulation in Smart Grids Based on the Consensus Protocol. Energies 2015, 8(8), 7930-7944; doi:10.3390/en8087930. http://www.mdpi.com/1996-1073/8/8/7930 --- Chae, W.; Lee, H.; Won, J.; Park, J.; Kim, J. Design and Field Tests of an Inverted Based Remote MicroGrid on a Korean Island. Energies 2015, 8(8), 8193-8210; doi:10.3390/en8088193. http://www.mdpi.com/1996-1073/8/8/8193 --- Nguyen, T.; Yoo, H.; Kim, H. Application of Model Predictive Control to BESS for Microgrid Control. Energies 2015, 8(8), 8798-8813; doi:10.3390/en8088798. http://www.mdpi.com/1996-1073/8/8/8798 --- Jung, S.; Jang, G. Development of an Optimal Power Control Scheme for Wave-Offshore Hybrid Generation Systems. Energies 2015, 8(9), 9009-9028; doi:10.3390/en8099009. http://www.mdpi.com/1996-1073/8/9/9009 --- Yang, Y.; Zhang, W.; Jiang, J.; Huang, M.; Niu, L. Optimal Scheduling of a Battery Energy Storage System with Electric Vehicles’ Auxiliary for a Distribution Network with Renewable Energy Integration. Energies 2015, 8(10), 10718-10735; doi:10.3390/en81010718. http://www.mdpi.com/1996-1073/8/10/10718 --- Xia, H.; Chen, H.; Yang, Z.; Lin, F.; Wang, B. Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm. Energies 2015, 8(10), 11618-11640; doi:10.3390/en81011618. http://www.mdpi.com/1996-1073/8/10/11618 --- Telaretti, E.; Ippolito, M.; Dusonchet, L. A Simple Operating Strategy of Small-Scale Battery Energy Storages for Energy Arbitrage under Dynamic Pricing Tariffs. Energies 2016, 9(1), 12; doi:10.3390/en9010012. http://www.mdpi.com/1996-1073/9/1/12 --- Gelažanskas, L.; Gamage, K. Distributed Energy Storage Using Residential Hot Water Heaters. Energies 2016, 9(3), 127; doi:10.3390/en9030127. http://www.mdpi.com/1996-1073/9/3/127 --- Pietrosanti, S.; Holderbaum, W.; Becerra, V. Optimal Power Management Strategy for Energy Storage with Stochastic Loads. Energies 2016, 9(3), 175; doi:10.3390/en9030175. http://www.mdpi.com/1996-1073/9/3/175 --- Lin, F.; Li, X.; Zhao, Y.; Yang, Z. Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit. Energies 2016, 9(4), 257; doi:10.3390/en9040257. http://www.mdpi.com/1996-1073/9/4/257 --- Bruen, T.; Hooper, J.; Marco, J.; Gama, M.; Chouchelamane, G. Analysis of a Battery Management System (BMS) Control Strategy for Vibration Aged Nickel Manganese Cobalt Oxide (NMC) Lithium-Ion 18650 Battery Cells. Energies 2016, 9(4), 255; doi:10.3390/en9040255. http://www.mdpi.com/1996-1073/9/4/255 --- Chung, Y. A Novel Power-Saving Transmission Scheme for Multiple-Component-Carrier Cellular Systems. Energies 2016, 9(4), 265; doi:10.3390/en9040265. http://www.mdpi.com/1996-1073/9/4/265 --- Zangs, M.; Adams, P.; Yunusov, T.; Holderbaum, W.; Potter, B. Distributed Energy Storage Control for Dynamic Load Impact Mitigation. Energies 2016, 9(8), 647; doi:10.3390/en9080647. http://www.mdpi.com/1996-1073/9/8/647 --- Zhao, Z.; Sun, Y.; Hu, A.; Dai, X.; Tang, C. Energy Link Optimization in a Wireless Power Transfer Grid under Energy Autonomy Based on the Improved Genetic Algorithm. Energies 2016, 9(9), 682; doi:10.3390/en9090682. http://www.mdpi.com/1996-1073/9/9/682 --- Gatta, F.; Geri, A.; Lamedica, R.; Lauria, S.; Maccioni, M.; Palone, F.; Rebolini, M.; Ruvio, A. Application of a LiFePO4 Battery Energy Storage System to Primary Frequency Control: Simulations and Experimental Results. Energies 2016, 9(11), 887; doi:10.3390/en9110887. http://www.mdpi.com/1996-1073/9/11/887 --- Kies, A.; Schyska, B.; von Bremen, L. The Demand Side Management Potential to Balance a Highly Renewable European Power System. Energies 2016, 9(11), 955; doi:10.3390/en9110955. http://www.mdpi.com/1996-1073/9/11/955 --- Yang, J.; Choi, J.; An, G.; Choi, Y.; Kim, M.; Won, D. Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation. Energies 2016, 9(12), 1010; doi:10.3390/en9121010. http://www.mdpi.com/1996-1073/9/12/1010 --- Gao, Z.; Chin, C.; Woo, W.; Jia, J. Integrated Equivalent Circuit and Thermal Model for Simulation of Temperature-Dependent LiFePO4 Battery in Actual Embedded Application. Energies 2017, 10(1), 85; doi:10.3390/en10010085. http://www.mdpi.com/1996-1073/10/1/85 --- Yunusov, T.; Zangs, M.; Holderbaum, W. Control of Energy Storage. Energies 2017, 10(7), 1010; doi:10.3390/en10071010. http://www.mdpi.com/1996-1073/10/7/1010
    Pages: Online-Ressource (VIII, 309 Seiten)
    Edition: Printed Edition of the Special Issue Published in Energies
    ISBN: 978‐3‐03842‐495‐6
    URL: http://www.mdpi.com/books/pdfview/book/447
    Language: English
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    Hillslope and Watershed Hydrology (2018)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: scale ; hillslope ; watershed ; modeling ; computation ; ecohydrology ; hydrologic observatory
    Description / Table of Contents: Watershed Hydrology: Scientific Advances and Environmental Assessments / Water 2018, 10(3), 288; https://doi.org/10.3390/w10030288 --- Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm / Water 2017, 9(9), 669; https://doi.org/10.3390/w9090669 --- Evaluating the Effects of Low Impact Development Practices on Urban Flooding under Different Rainfall Intensities / Water 2017, 9(7), 548; https://doi.org/10.3390/w9070548 --- Flooding in Delta Areas under Changing Climate: Response of Design Flood Level to Non-Stationarity in Both Inflow Floods and High Tides in South China / Water 2017, 9(7), 471; https://doi.org/10.3390/w9070471 --- Variability of Spatially Grid-Distributed Precipitation over the Huaihe River Basin in China / Water 2017, 9(7), 489; https://doi.org/10.3390/w9070489 --- Estimation of Active Stream Network Length in a Hilly Headwater Catchment Using Recession Flow Analysis / Water 2017, 9(5), 348; https://doi.org/10.3390/w9050348 --- Hydrological Modeling of the Upper Indus Basin: A Case Study from a High-Altitude Glacierized Catchment Hunza / Water 2017, 9(1), 17; https://doi.org/10.3390/w9010017 --- Characterizing Changes in Streamflow and Sediment Supply in the Sacramento River Basin, California, Using Hydrological Simulation Program—FORTRAN (HSPF) / Water 2016, 8(10), 432; https://doi.org/10.3390/w8100432 --- Assessment of the Impact of Subsurface Agricultural Drainage on Soil Water Storage and Flows of a Small Watershed / Water 2016, 8(8), 326; https://doi.org/10.3390/w8080326 --- Effects of Model Spatial Resolution on Ecohydrologic Predictions and Their Sensitivity to Inter-Annual Climate Variability / Water 2016, 8(8), 321; https://doi.org/10.3390/w8080321 --- Hydrologic Alteration Associated with Dam Construction in a Medium-Sized Coastal Watershed of Southeast China / Water 2016, 8(8), 317; https://doi.org/10.3390/w8080317 --- Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere / Water 2016, 8(5), 202; https://doi.org/10.3390/w8050202 --- Multi-Site Validation of the SWAT Model on the Bani Catchment: Model Performance and Predictive Uncertainty / Water 2016, 8(5), 178; https://doi.org/10.3390/w8050178 --- An Eco-Hydrological Model-Based Assessment of the Impacts of Soil and Water Conservation Management in the Jinghe River Basin, China / Water 2015, 7(11), 6301-6320; https://doi.org/10.3390/w7116301
    Pages: Online-Ressource (VIII, 246 Seiten) , Illustrationen, Diagramme
    Edition: Printed Edition of the Special Issue Published in Water
    ISBN: 9783038429524
    URL: http://www.mdpi.com/books/pdfview/book/717
    Language: English
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    Morphology and Internal Mixing of Atmospheric Particles (2018)
    Basel, Beijing, Wuhan : MDPI
    Details
    Keywords: atmospheric particles ; morphology ; internal mixing ; single particle analysis and modeling ; aerosol optical properties ; radiative forcing ; aerosol-cloud interactions ; heterogeneous aerosol chemistry ; aerosol imaging ; microscopy
    Description / Table of Contents: Preface: Morphology and Internal Mixing of Atmospheric Particles / Atmosphere 2018, 9(7), 249; https://doi.org/10.3390/atmos9070249 --- PDF Full-text (692 KB) | HTML Full-text | XML Full-text / Immersion Freezing of Total Ambient Aerosols and Ice Residuals / Atmosphere 2018, 9(2), 55; https://doi.org/10.3390/atmos9020055 --- Influence of Common Assumptions Regarding Aerosol Composition and Mixing State on Predicted CCN Concentration / Atmosphere 2018, 9(2), 54; https://doi.org/10.3390/atmos9020054 --- Physicochemical Characteristics of Individual Aerosol Particles during the 2015 China Victory Day Parade in Beijing / Atmosphere 2018, 9(2), 40; https://doi.org/10.3390/atmos9020040 --- Quantifying Impacts of Aerosol Mixing State on Nucleation-Scavenging of Black Carbon Aerosol Particles / Atmosphere 2018, 9(1), 17; https://doi.org/10.3390/atmos9010017 --- Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics / Atmosphere 2018, 9(1), 15; https://doi.org/10.3390/atmos9010015 --- Elemental Mixing State of Aerosol Particles Collected in Central Amazonia during GoAmazon2014/15 / Atmosphere 2017, 8(9), 173; https://doi.org/10.3390/atmos8090173 --- Effect of Thermodenuding on the Structure of Nascent Flame Soot Aggregates / Atmosphere 2017, 8(9), 166; https://doi.org/10.3390/atmos8090166 --- The Impact of Sampling Medium and Environment on Particle Morphology / Atmosphere 2017, 8(9), 162; https://doi.org/10.3390/atmos8090162 --- Temperature-Dependent Diffusion of H2SO4 in Air at Atmospherically Relevant Conditions: Laboratory Measurements Using Laminar Flow Technique / Atmosphere 2017, 8(7), 132; https://doi.org/10.3390/atmos8070132 --- Monthly and Diurnal Variation of the Concentrations of Aerosol Surface Area in Fukuoka, Japan, Measured by Diffusion Charging Method / Atmosphere 2017, 8(7), 114; https://doi.org/10.3390/atmos8070114 --- Q-Space Analysis of the Light Scattering Phase Function of Particles with Any Shape / Atmosphere 2017, 8(4), 68; https://doi.org/10.3390/atmos8040068 --- Morphology, Composition, and Mixing State of Individual Aerosol Particles in Northeast China during Wintertime / Atmosphere 2017, 8(3), 47; https://doi.org/10.3390/atmos8030047
    Pages: Online-Ressource (214 Seiten) , Illustrationen, Diagramme
    Edition: Printed Edition of the Special Issue Published in Atmosphere
    ISBN: 9783038971344
    URL: http://www.mdpi.com/books/pdfview/book/742
    Language: English
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