Simaud2020 - Best Student Paper Award

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Location: Vienne, Autriche

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07.09.2017 - How to create or modify EnergyPlus Weather Data (EPW)

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How to modify a weather (EPW) file or create new ? Elements  is a free, open-source, cross-platform software tool for creating and editing custom weather files for building energy modeling. The goal of the project is to develop a comprehensive, integrated application suitable for handling all of the common tasks associated with weather files. link:  http://bigladdersoftware.com/projects/elements/ How to modify a weather (EPW) file with other data? run the weather converter on the original file (Energyplus component) convert the file to "EnergyPlus CSV" (it exist in excel) open the EnergyPlus CSV file in your favorite spreadsheet program. (excel) make the mods, saving it as CSV from the spreadsheet program. run the weather converter again, this time selecting the CSV and make sure the File type is "EnergyPlus CSV" convert it to EPW. link :  http://bigladdersoftware.com/epx/docs/8-3/auxiliary-programs/energyplus-weather-file-epw-data-diction
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06.09.2017 - Operative Temperature / Mean Radian Temperature

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Figure.Thermometer Actual   thermal comfort   is dependent on environmental factors, such as   air temperature , air velocity,   relative humidity   and the uniformity of conditions, as well as personal factors such as clothing, metabolic heat, acclimatisation, state of health, expectations, and even access to food and drink. Operative temperature (air temperature + mean radiant temperature + air velocity) Operative temperature  is indictaion of  thermal comfort  comes  from   air temperature ,   mean radiant temperature   and air speed. It is helpful to define or predict  thermal comfort  for  occupants of a building. Basically,    thermal comfort  is related with   environmental elements, which are   air temperature , air velocity,   relative humidity   and the consolidation of conditions, also individual properties such as clothing, metabolic heat, acclimatisation, state of health.  In many spaces, with low air velocity and where   air temperature   and   mean radiant tem
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An Algorithm for Efficient Urban Building Energy Modeling and Simulation

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Abstract: The urban population increases continuously since the industrial revolution, and the residential buildings have the primary responsibility for the total energy demand. There is a need for the analysis of the residential building stock for energy efficiency and sustainable planning. However, energy modeling and simulation in urban scale is expensive in computational complexity and time, due to various building geometries and occupancy types. This research proposes a method to increase the efficiency of the simulation process by reorganizing the building geometries with functional clustering and radiation analysis scaling. In order to accelerate the urban building energy modeling (UBEM) process, the building geometries are modified based on energy simulation standards, then, clustering is determined based on radiation analysis and outside boundary conditions. The candidates are selected according to the selection percentage that has been identified before the process to simul
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