Jan Kleissl, Ph.D.

Affiliations: 
2004 Johns Hopkins University, Baltimore, MD 
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Charles V Meneveau grad student 2004 Johns Hopkins
 (Field experimental study of the Smagorinsky model and application to large eddy simulation.)
Marc B. Parlange grad student 2004 Johns Hopkins
 (Field experimental study of the Smagorinsky model and application to large eddy simulation.)
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Publications

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Stadler M, Pecenak Z, Mathiesen P, et al. (2020) Performance Comparison between Two Established Microgrid Planning MILP Methodologies Tested On 13 Microgrid Projects Energies. 13: 4460
Wu E, Yang H, Kleissl J, et al. (2020) On the Parameterization of Convective Downdrafts for Marine Stratocumulus Clouds Monthly Weather Review. 148: 1931-1950
Zapata MZ, Norris JR, Kleissl J. (2020) Coastal Stratocumulus Dissipation Dependence on Initial Conditions and Boundary Forcings in a Mixed-Layer Model Journal of the Atmospheric Sciences. 77: 2717-2741
Lappalainen K, Kleissl J. (2020) Analysis of the cloud enhancement phenomenon and its effects on photovoltaic generators based on cloud speed sensor measurements Journal of Renewable and Sustainable Energy. 12: 43502
Yang D, Alessandrini S, Antonanzas J, et al. (2020) Verification of deterministic solar forecasts Solar Energy
Lappalainen K, Wang GC, Kleissl J. (2020) Estimation of the largest expected photovoltaic power ramp rates Applied Energy. 278: 115636
Pecenak ZK, Disfani VR, Reno MJ, et al. (2019) Inversion Reduction Method for Real and Complex Distribution Feeder Models Ieee Transactions On Power Systems. 34: 1161-1170
Fahy K, Stadler M, Pecenak ZK, et al. (2019) Input data reduction for microgrid sizing and energy cost modeling: Representative days and demand charges Journal of Renewable and Sustainable Energy. 11: 65301-65301
Wang GC, Urquhart B, Kleissl J. (2019) Cloud base height estimates from sky imagery and a network of pyranometers Solar Energy. 184: 594-609
Pawar P, Cortés C, Murray K, et al. (2019) Detecting clear sky images Solar Energy. 183: 50-56
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