A comparison of thermal zone aggregation methods
The impact of increasing energy prices on building operation budgets has fueled demand for more energy-efficient structures. Existing building energy simulation tools generate an immense amount of data yet comparatively little knowledge. This paper introduces a framework that allows aggregation-base...
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| creator | Dobbs, J. R. Hencey, B. M. |
| description | The impact of increasing energy prices on building operation budgets has fueled demand for more energy-efficient structures. Existing building energy simulation tools generate an immense amount of data yet comparatively little knowledge. This paper introduces a framework that allows aggregation-based model reduction to operate on geometric building information models. The resulting aggregation sequence provides designers with faster simulations and affords insight into complex multi-scale thermal interactions. A comparison of the trade-off between simulation speed and accuracy for three hierarchical cluster partitioning methods concludes the discussion. |
| doi_str_mv | 10.1109/CDC.2012.6425888 |
| format | Conference Proceeding |
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A comparison of the trade-off between simulation speed and accuracy for three hierarchical cluster partitioning methods concludes the discussion.</description><subject>Atmospheric modeling</subject><subject>Buildings</subject><subject>Capacitance</subject><subject>Capacitors</subject><subject>geometric building information models</subject><subject>hierarchical cluster partitioning methods</subject><subject>MATHEMATICS AND COMPUTING</subject><subject>Object oriented modeling</subject><subject>Reduced order systems</subject><subject>Solid modeling</subject><subject>thermal zone aggregation-based model reduction</subject><issn>0191-2216</issn><isbn>9781467320658</isbn><isbn>146732065X</isbn><isbn>1467320633</isbn><isbn>1467320668</isbn><isbn>9781467320634</isbn><isbn>9781467320665</isbn><isbn>9781467320641</isbn><isbn>1467320641</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1LAzEUxCMq2NbeBS-L963vJdn07bGsn1Dwouclzb60ke6mbHLRv95C62kY5sfAjBB3CAtEqB-bp2YhAeXCaFkR0YWYojZLJcEodSnm9ZL-fUVXYgJYYyklmhsxTekbAAiMmQhYFS72BzuGFIci-iLveOztvviNAxd2ux15a3M4Zj3nXezSrbj2dp94ftaZ-Hp5_mzeyvXH63uzWpdBap1LaeraOwItwaOtrTKbjiV1umLWRrP3HYGVzi_JVMZLhRsyFityXquu02omHk69MeXQJhcyu52Lw8AutwiE1XHoTNyfoMDM7WEMvR1_2vMl6g9x1VE8</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Dobbs, J. 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| ispartof | 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, p.6938-6944 |
| issn | 0191-2216 |
| language | eng |
| recordid | cdi_ieee_primary_6425888 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Atmospheric modeling Buildings Capacitance Capacitors geometric building information models hierarchical cluster partitioning methods MATHEMATICS AND COMPUTING Object oriented modeling Reduced order systems Solid modeling thermal zone aggregation-based model reduction |
| title | A comparison of thermal zone aggregation methods |
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