Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations

The Localized Actual Meteorological Year File Creator (LAF) application provides web-based access to real meteorological data and processes it into a weather file suitable for building energy modeling. Building energy consumption is affected by what is inside the building (such as occupants, applian...

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Main Authors: Carlo Bianchi, Amanda D. Smith
Format: Article
Language:English
Published: Elsevier 2019-07-01
Series:SoftwareX
Online Access:http://www.sciencedirect.com/science/article/pii/S2352711018300839
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spelling doaj-1dc60435f67e4c3aaa04b5fef113f5b22020-11-24T21:11:04ZengElsevierSoftwareX2352-71102019-07-0110Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulationsCarlo Bianchi0Amanda D. Smith1Site-Specific Energy Systems Laboratory, Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA; NREL - National Renewable Energy Laboratory, Golden, CO, 80401, USA; Corresponding author.Site-Specific Energy Systems Laboratory, Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USAThe Localized Actual Meteorological Year File Creator (LAF) application provides web-based access to real meteorological data and processes it into a weather file suitable for building energy modeling. Building energy consumption is affected by what is inside the building (such as occupants, appliances, HVAC systems, etc.) and by what is outside: the weather conditions the building is exposed to. However, freely available weather data files are limited to a number of specific locations, usually airports, which are often located away from city centers where buildings are concentrated. The authors have developed a new tool that supports the investigation and quantification of micro-climate conditions on building energy consumption. LAF is built on the Python open-source programming language and has a Graphical User Interface (GUI) that allows users to create custom weather data files for building energy simulations. Many sets of actual meteorological year weather data for long time periods are publicly available online (such as the MesoWest database) for thousands of locations in the US. LAF selects weather data according to user specifications and automatically processes it through an API across multiple weather stations and multiple time periods. The user may easily select a specific location, time frame, and time step that best meets their needs. This article presents a useful tool for energy modelers, building designers and operators to assist with building performance analysis and optimization. Keywords: Building energy modeling, EnergyPlus, Weather data, Microclimate, Meteorological yearhttp://www.sciencedirect.com/science/article/pii/S2352711018300839
collection DOAJ
language English
format Article
sources DOAJ
author Carlo Bianchi
Amanda D. Smith
spellingShingle Carlo Bianchi
Amanda D. Smith
Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
SoftwareX
author_facet Carlo Bianchi
Amanda D. Smith
author_sort Carlo Bianchi
title Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
title_short Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
title_full Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
title_fullStr Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
title_full_unstemmed Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations
title_sort localized actual meteorological year file creator (laf): a tool for using locally observed weather data in building energy simulations
publisher Elsevier
series SoftwareX
issn 2352-7110
publishDate 2019-07-01
description The Localized Actual Meteorological Year File Creator (LAF) application provides web-based access to real meteorological data and processes it into a weather file suitable for building energy modeling. Building energy consumption is affected by what is inside the building (such as occupants, appliances, HVAC systems, etc.) and by what is outside: the weather conditions the building is exposed to. However, freely available weather data files are limited to a number of specific locations, usually airports, which are often located away from city centers where buildings are concentrated. The authors have developed a new tool that supports the investigation and quantification of micro-climate conditions on building energy consumption. LAF is built on the Python open-source programming language and has a Graphical User Interface (GUI) that allows users to create custom weather data files for building energy simulations. Many sets of actual meteorological year weather data for long time periods are publicly available online (such as the MesoWest database) for thousands of locations in the US. LAF selects weather data according to user specifications and automatically processes it through an API across multiple weather stations and multiple time periods. The user may easily select a specific location, time frame, and time step that best meets their needs. This article presents a useful tool for energy modelers, building designers and operators to assist with building performance analysis and optimization. Keywords: Building energy modeling, EnergyPlus, Weather data, Microclimate, Meteorological year
url http://www.sciencedirect.com/science/article/pii/S2352711018300839
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