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dc.contributor.advisorChristoph Reinhart.en_US
dc.contributor.authorArsano, Alpha Yacoben_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Architecture.en_US
dc.date.accessioned2017-09-15T14:22:39Z
dc.date.available2017-09-15T14:22:39Z
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/111279
dc.descriptionThesis: S.M. in Architecture Studies, Massachusetts Institute of Technology, Department of Architecture, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis. "June 2017."en_US
dc.descriptionIncludes bibliographical references (pages 64-65).en_US
dc.description.abstractOne of the most widely discussed passive building design strategies is using natural ventilation for cooling. In addition to providing fresh air, which enhances occupant productivity and comfort, strategic implementation of natural ventilation in buildings reduces the energy needed for cooling. And this reduction in energy consumption significantly reduces carbon dioxide emissions. During the initial design phase, designers routinely use climate-file based analysis to evaluate the potential for comfort ventilation against other passive building strategies. Following this initial screening, it is customary to conduct detailed simulations to further develop design ideas. At this point, inconsistencies can arise between the early climate-file based analysis and later-stage simulations. Major differences arise from limitations of climate-file based analysis to account for influences of construction assemblies, building program, and occupant comfort preferences. This manuscript presents a building performance-based climate analysis method where quick, single-zone simulations are run in EnergyPlus. The ventilation cooling potential for a site and a building program is calculated using a series of Python scripts.en_US
dc.description.statementofresponsibilityby Alpha Yacob Arsano.en_US
dc.format.extent65 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectArchitecture.en_US
dc.titleC L I M A + : an early design natural ventilation prediction methoden_US
dc.title.alternativeEarly design natural ventilation prediction methoden_US
dc.typeThesisen_US
dc.description.degreeS.M. in Architecture Studiesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.identifier.oclc1003490137en_US


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