Detailed weather data generator for building simulations
Energy and Buildings 31, 1 (2000) 75-88 Thermal buildings simulation softwares need meteorological files in thermal comfort, energetic evaluation studies. Few tools can make significant meteorological data available such as generated typical year, representative days, or artificial meteorological da...
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| creator | Adelard, L Boyer, H Garde, F Gatina, J. -C |
| description | Energy and Buildings 31, 1 (2000) 75-88 Thermal buildings simulation softwares need meteorological files in thermal
comfort, energetic evaluation studies. Few tools can make significant
meteorological data available such as generated typical year, representative
days, or artificial meteorological database. This paper deals about the
presentation of a new software, RUNEOLE, used to provide weather data in
buildings applications with a method adapted to all kind of climates. RUNEOLE
associates three modules of description, modelling and generation of weather
data. The statistical description of an existing meteorological database makes
typical representative days available and leads to the creation of model
libraries. The generation module leads to the generation of non existing
sequences. This software tends to be usable for the searchers and designers, by
means of interactivity, facilitated use and easy communication. The conceptual
basis of this tool will be exposed and we'll propose two examples of
applications in building physics for tropical humid climates. |
| doi_str_mv | 10.48550/arxiv.1212.3930 |
| format | Article |
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comfort, energetic evaluation studies. Few tools can make significant
meteorological data available such as generated typical year, representative
days, or artificial meteorological database. This paper deals about the
presentation of a new software, RUNEOLE, used to provide weather data in
buildings applications with a method adapted to all kind of climates. RUNEOLE
associates three modules of description, modelling and generation of weather
data. The statistical description of an existing meteorological database makes
typical representative days available and leads to the creation of model
libraries. The generation module leads to the generation of non existing
sequences. This software tends to be usable for the searchers and designers, by
means of interactivity, facilitated use and easy communication. The conceptual
basis of this tool will be exposed and we'll propose two examples of
applications in building physics for tropical humid climates.</description><identifier>DOI: 10.48550/arxiv.1212.3930</identifier><language>eng</language><subject>Computer Science - Computational Engineering, Finance, and Science</subject><creationdate>2012-12</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1212.3930$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1212.3930$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Adelard, L</creatorcontrib><creatorcontrib>Boyer, H</creatorcontrib><creatorcontrib>Garde, F</creatorcontrib><creatorcontrib>Gatina, J. -C</creatorcontrib><title>Detailed weather data generator for building simulations</title><description>Energy and Buildings 31, 1 (2000) 75-88 Thermal buildings simulation softwares need meteorological files in thermal
comfort, energetic evaluation studies. Few tools can make significant
meteorological data available such as generated typical year, representative
days, or artificial meteorological database. This paper deals about the
presentation of a new software, RUNEOLE, used to provide weather data in
buildings applications with a method adapted to all kind of climates. RUNEOLE
associates three modules of description, modelling and generation of weather
data. The statistical description of an existing meteorological database makes
typical representative days available and leads to the creation of model
libraries. The generation module leads to the generation of non existing
sequences. This software tends to be usable for the searchers and designers, by
means of interactivity, facilitated use and easy communication. The conceptual
basis of this tool will be exposed and we'll propose two examples of
applications in building physics for tropical humid climates.</description><subject>Computer Science - Computational Engineering, Finance, and Science</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJAwNNAzsTA1NdBPLKrILNMzNDI00jO2NDbgZLBwSS1JzMxJTVEoT00syUgtUkhJLElUSE_NSy1KLMkvUkgD4qTSzJyUzLx0heLM3NKcxJLM_LxiHgbWtMSc4lReKM3NIOfmGuLsoQu2Ir6gKDM3sagyHmRVPMgqY4IKALVsM5I</recordid><startdate>20121217</startdate><enddate>20121217</enddate><creator>Adelard, L</creator><creator>Boyer, H</creator><creator>Garde, F</creator><creator>Gatina, J. -C</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20121217</creationdate><title>Detailed weather data generator for building simulations</title><author>Adelard, L ; Boyer, H ; Garde, F ; Gatina, J. -C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_1212_39303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computer Science - Computational Engineering, Finance, and Science</topic><toplevel>online_resources</toplevel><creatorcontrib>Adelard, L</creatorcontrib><creatorcontrib>Boyer, H</creatorcontrib><creatorcontrib>Garde, F</creatorcontrib><creatorcontrib>Gatina, J. -C</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Adelard, L</au><au>Boyer, H</au><au>Garde, F</au><au>Gatina, J. -C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detailed weather data generator for building simulations</atitle><date>2012-12-17</date><risdate>2012</risdate><abstract>Energy and Buildings 31, 1 (2000) 75-88 Thermal buildings simulation softwares need meteorological files in thermal
comfort, energetic evaluation studies. Few tools can make significant
meteorological data available such as generated typical year, representative
days, or artificial meteorological database. This paper deals about the
presentation of a new software, RUNEOLE, used to provide weather data in
buildings applications with a method adapted to all kind of climates. RUNEOLE
associates three modules of description, modelling and generation of weather
data. The statistical description of an existing meteorological database makes
typical representative days available and leads to the creation of model
libraries. The generation module leads to the generation of non existing
sequences. This software tends to be usable for the searchers and designers, by
means of interactivity, facilitated use and easy communication. The conceptual
basis of this tool will be exposed and we'll propose two examples of
applications in building physics for tropical humid climates.</abstract><doi>10.48550/arxiv.1212.3930</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Computational Engineering, Finance, and Science |
| title | Detailed weather data generator for building simulations |
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