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We supported the porting of an application studying the carbon diffusion in crystalline silicon, using empirical interatomic potentials. The already written researchers\' code, collects thousands of simulations launched with different parameters. We\'ve focused our efforts to bring the researchers an user-friendly wrapper to the grid infrastructure. This solution gives the researchers an easy-to-use environment in which entering the desired number of simulations and parameters. The frontend makes the work for the user submitting and monitoring the desired jobs into the grid. When the results are available, it notify the user by email with an url for downloading the results. This wrapping achieves two important results: (i) leave more time to investigate deeper the results and (ii) give more flexibility in changing simulations\' parameters. Already planned Future works, will be devoted to a more extended study of the influence of the different parameters of the empirical inter atomic potential, with the final goal to improve the applicability of the model to simulated kinetic process of defects. In this task, we intend to use the full-fledged MPI environment, exploiting the full power of parallelization and shared memory ion. Software requirements: VASP, MPI-1/MPI-2^

Description STEMMUS-UEB V1.0.0 coupled the Simultaneous Transfer of Energy, Momentum, and Mass in Unsaturated Soil with Freeze-Thaw (STEMMUS-FT, Zeng et al., 2011a,b; Zeng and Su, 2013; Yu et al., 2018) with snowmelt process model (Utah Energy Balance, UEB, Tarboton and Luce, 1996). With the various representations of soil physical processes, from the basic coupled, to tightly advanced coupled water and heat transfer, and further to the explicit consideration of airflow, STEMMUS-FT model facilitates us to understand and interpret the role of soil physical processes (Zeng et al., 2011a,b; Yu et al., 2018; Yu et al., 2020). UEB model is a physically-based snowmelt model developed by David Tarboton's group. The model uses the lumped representation of snowpack with two primary state variables, snow water equivalent SWE and the internal energy U. Water and energy balance are numerically solved and kept track. UEB uses the physical-based calculations of surface energy exchanges. Melt outflow is regarded as the function of the liquid fraction, by Darcy's law. The latest version, UEBGrid, developed for the gridded application of UEB can be found from https://github.com/dtarb/UEBFortran. Older versions of UEB may be obtained from http://hydrology.usu.edu/dtarb/snow/snow.html. The one-way sequential coupling is employed to couple the soil model (STEMMUS-FT) with the snowpack model (UEB). UEB model takes the atmospheric forcing as the input (precipitation, air temperature, wind speed and direction, relative humidity, shortwave, and longwave radiation) and solves the snowpack energy and mass balance, provides the melt water flux and heat flux as the surface boundary conditions for the soil model STEMMUS-FT. STEMMUS-FT then solves the energy and mass balance equations of soil layers in one timestep. Setup and requirements The code is tested with MATLAB 2019b. STEMMUS-UEB is executed in MATLAB by simply running MainLoop.m after you finish all the model setup and give the input data to STEMMUS-UEB. Several steps are necessary to build up the model setup. Setting the temporal information and model domain; Setting soil properties and snow properties; Setting the initialization condition for soil and snow submodules, respectively; Inputting the meteorological forcing information; Setting the surface/bottom conditions; Then you are ready to run STEMMUS-UEB by running MainLoop.m. {"references": ["Zeng, Y., Su, Z., Wan, L., and Wen, J.: A simulation analysis of the advective effect on evaporation using a two-phase heat and mass flow model, Water Resour. Res., 47, W10529, 10.1029/2011WR010701, 2011a.", "Zeng, Y., Su, Z., Wan, L., and Wen, J.: Numerical analysis of air-water-heat flow in unsaturated soil: Is it necessary to consider airflow in land surface models?, Journal of Geophysical Research: Atmospheres, 116, D20107, 10.1029/2011JD015835, 2011b.", "Yu, L., Zeng, Y., Wen, J., and Su, Z.: Liquid-Vapor-Air Flow in the Frozen Soil, Journal of Geophysical Research: Atmospheres, 123, 7393-7415, 10.1029/2018jd028502, 2018.", "Tarboton, D. G., and Luce, C. H.: Utah Energy Balance Snow Accumulation and Melt Model (UEB), Computer model technical description and users guide, Utah Water Research Laboratory and USDA Forest Service Intermountain Research Station, 1996."]} Codes are free for scientific and educational purposes while users should comply with the fair use policy. Codes are shared in the hope that it will be useful but without any warranty. For any questions, please contact Lianyu Yu (l.yu@utwente.nl), Yijian Zeng (y.zeng@utwente.nl), or Zhongbo Su (z.su@utwente.nl). Authors would like to acknowledge the financial support from the National Natural Science Foundation of China (grant no. 41971033), the Fundamental Research Funds for the Central Universities, CHD (grant no. 300102298307), and the NWO project "Modelling Freeze-Thaw Processes with Active and Passive Microwave Observations" (project ALW-GO/14-29).

Plasma heating in magnetic confinement fusion devices can be performed by launching a microwave beam with frequency in the range of the cyclotron frequency of either ions or electrons, or close to one of their harmonics. The Electron Cyclotron Resonance Heating (ECRH) is characterized by the small size of the wavelength that allows one to study the wave properties using the geometrical optics approximations. This means that the microwave beam can be simulated by a large amount of rays. Being all the ray computations independent, this problem is well suited to be solved in the grid relying on the EGEE infrastructure. The framework has been implemented using the standard DRMAA API provided by GridWay.

What's Changed add methanolisation waste heat, use DEA for electrolysis & fuel cell by @fneum in https://github.com/PyPSA/technology-data/pull/97 Full Changelog: https://github.com/PyPSA/technology-data/compare/v0.6.1...v0.6.2

SLAB-LLNL is a steady-state one-dimensional program which calculates the atmospheric dispersion of a heavier than air gas that is continuously released at ground level. The model is based on the steady-state crosswind-averaged conservation equations of species, mass, energy, and momentum. It uses the air entrainment concept to account for the turbulent mixing of the gas cloud with the surrounding atmosphere and similarity profiles to determine the crosswind dependence.

The Open Smart Energy Gateway (OpenSEG) aims to provide near-real time smart meter data to consumers without the delays or latencies associated with it being transported to the utility data center and then back to the consumer's application. To do this, the gateway queries the local Smart Meter to which it is bound to get energy consumption information at pre-defined intervals (minimum interval is 4 seconds). OpenSEG then stores the resulting data internally for retrieval by an external application.

eProject Builder (ePB) is a secure, web-based system that enables agencies and ESCOs to securely: (1) preserve, track, and access energy project information for the life of the contract (2) quickly generate data and reports for their portfolio of projects (3) develop project scenarios using standardized amortization calculations (4) benchmark new projects against historical project data

PaSR-SDE is a package to simulate premixed turbulent combustion in ideal reactors using stochastic mixing models.

This notebook takes SMOKE outputs, which are CMAQ-ready emissions and converts them for use in GEOS-Chem. The tutorial uses "gridded reports", which contain annual data. To make this operational, you instead repeat the process for each month. Steps: install libraries Download data from EPA Regrid and convert to fluxes in GEOS-Chem format

Highlights Similar-Day Predictor (#1573). Thanks @pooran-c Bosch BPT-S 5 Hybrid Energy Storage System (#1604). Thanks @waldtraut1981 Bug Fixes and Other Changes Refactor Channel-Source and Target information (#1595, #1597) Refactor Ess-Cluster (#1590) Refactor implementation, use ChannelManager for immediate updates to channel values, calculate weighted SoC and add JUnit tests Go-e Charger: Fix minimum and maximum hardware power calculation (#1582), Fixes #1580 RevolutionPi improvements (#1562) Thanks @clehne improved debugLog() format, added some debug write channels and improved event process handling (read on BEFORE_PROCESS_IMAGE, write on EXECUTE_WRITE) also: Simulator BatteryDummy - added missing StartStoppable channels Backend implementation for installation assistent (#1589) Thanks @mlang97 See also #1588 for UI development efforts for an OpenEMS installation assistant by @raphael-piller Improve handling of OSGi References and target filters (#1603). Thanks @sebastianasen for your valuable inputs Try to restart Components if they are unavailable Due to a race condition on startup, sometimes Components are unavailable to the ComponentManager. The related error message is [Core.ComponentManager(1)] : Could not get service from ref. We are fixing this by restarting (i.e. 'reconfiguring') the Component in such a case. Increase ComponentManager 'ConfigNotActivated' level to 'FAULT' On UpdateComponent via ComponentManager: reset target properties Before if a Component was referencing 'modbus0' and you would update it to 'modbus1', there were two possible behaviours. (1) if 'modbus0' was still existing, the update would work and the target filter would be set properly. (2) otherwise the target filter could not be set, because the Component would not reactivate. This would leave the Component in an error state. We are fixing this by always resetting the target properties. Set non-empty default target filter by default If the target filter is made available via 'Config.java' and the configuration property is left as an empty string, the error Invalid syntax in target property for dependency arises on activate, which showed to also cause wrong behaviour later. We fix this by setting a default target filter of (enabled=true) - which is always true, but avoids the error Backports from FEMS (#1583) HybridManagedSymmetricBatteryInverter: set persistence priority for DC power/energy channels JsonUtils: add parser for JsonObject and JsonArray to OpenemsType.String: This fixes io.openems.edge.common.component.AbstractOpenemsComponent] ERROR : [ctrl0] Unable to parse Property [property] value [[""]] to [STRING]: JSON [[""]] is not a JSON-Primitive Array-Properties: handle datatype properly (#1586) Tries to extract 'one' value of the array, falls back to 'STRING' if there are more two or more values and handle 'IllegalArgumentException' instead of fail TypeUtils: fix possible NullPointerException 78f0b42c07d3a17c90a6b761023eda145e25139a Dependency updates Bump slf4j-api from 1.7.30 to 1.7.32 in /cnf (#1578) Bump date-fns from 2.22.1 to 2.23.0 in /ui (#1576) Update UI dependencies (#1584) Bump slf4j-api from 1.7.30 to 1.7.32 in /cnf (#1578) Bump d3 from 7.0.0 to 7.0.1 in /ui (#1594) Bump ngx-cookie-service from 12.0.2 to 12.0.3 in /ui (#1593) Bump angular-mydatepicker from 0.11.4 to 0.11.5 in /ui (#1592)