A real-time building HVAC model implemented as a tool for decision making in early stages of design
| dc.contributor.author | Syed, Zaker Ali, author | |
| dc.contributor.author | Bradley, Thomas H., advisor | |
| dc.contributor.author | Anderson, Charles, committee member | |
| dc.contributor.author | Sampath, Walajabad, committee member | |
| dc.date.accessioned | 2015-08-28T14:35:46Z | |
| dc.date.available | 2015-08-28T14:35:46Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Construction of buildings is one of the major sources of greenhouse gases (GHGs) and energy consumption. It would therefore be beneficial to improve the design of new buildings so that they consume less energy and reduce GHG emissions over their lifecycle. However, the design of these “green buildings” is challenging because the analyses required to design and optimize these buildings is time intensive and complicated. In response, numerous software applications have been developed over the years by various government agencies, organizations and researchers. But, recent surveys of architects have found that these energy simulation programs are used irregularly and by very few architectural firms. The utility of these programs is limited by three main factors. First, these software applications are complicated, stand-alone programs that require extensive training to be effective. Second, there are a large set of energy simulation programs available, all of which have differing metrics of building performance with differing degrees of accuracy. And lastly, these applications do not fit into the conventional workflow that architects follow for a majority of projects. To address these issues, this thesis focuses on the development of a simplified HVAC model that not only gives sufficiently accurate results but also can be easily integrated into the conventional design workflow. There are some key challenges in developing such a model. • Early in the design process (when many irreversible energy impacting design decisions are made) there is very limited information available about the building materials, heat loads, and more. • The simulation must be integrated into the design software and workflows that are currently being used by architects. This requires a near-instantaneous calculation method that can extract information from the only available data at the initial design (sketching) phase, the computer aided design (CAD) models and the location. To achieve these objectives, the Radiant Time Series (RTS) method was supplemented with real data from National Solar Radiation Database to enable a near-instantaneous annual HVAC load calculation to be integrated into preliminary CAD modelling software. This model was integrated in to the Trimble Sketch-up™ software. The combined software system is demonstrated to enable effective design feedback in early design decisions including building orientation, construction material and design of fenestration. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Syed_colostate_0053N_13236.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/167250 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | HVAC | |
| dc.subject | green building design | |
| dc.title | A real-time building HVAC model implemented as a tool for decision making in early stages of design | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Mechanical Engineering | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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