Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype
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| Title: | Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype |
|---|---|
| Authors: | Del Rocco, Joseph |
| Committee Members: | Kider Jr., Joe |
| Summary: | The original research and development in this dissertation contributes to the field of building performance by actively harnessing a wider spectrum of directional solar radiation for use in buildings. Solar radiation (energy) is often grouped by wavelength measurement into the spectra ultraviolet (UV), visible (light), and short and long-wave infrared (heat) on the electromagnetic spectrum. While some of this energy is directly absorbed or deflected by our atmosphere, most of it passes through, scatters about, and collides with our planet. Modern building performance simulations, tools, and control systems often oversimplify this energy into scalar values for light and heat, when in reality they are interrelated directional spectral quantities of energy that are diffused and attenuated by clouds before colliding with surfaces. In addition to this, live building monitoring and control systems in-the-wild often do not track the location of the sun, separate direct sun energy from scattered sky energy, account for overcast clouds, considering occluded energy, etc. The work in this dissertation provides building energy simulations and control systems with finer-grain control over lighting and heating in order to optimize energy use and improve occupant well-being. We first present a data-driven machine learned sky model for predicting spectral radiance, and show how this technique can be used to produce spectral radiance maps for the entire hemispherical sky. We then integrate these predicted spectral radiance maps and other validated predictions into a custom radiosity engine in order to predict spectral daylighting and heating energy in building interiors. Finally, we present the design and prototyping of a cyber-physical building control system that monitors the sky and occupants in order to harness natural light and heat more effectively. We present ongoing and future work recommendations, such as sky cover projections to help reduce cooling recovery costs, and the use of spectral radiance maps in physically-based rendering engines. |
| URL: | https://stars.library.ucf.edu/etd2020/851 |
| Database: | OpenDissertations |
| FullText | Text: Availability: 0 |
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| Header | DbId: ddu DbLabel: OpenDissertations An: ddu.oai.stars.library.ucf.edu.etd2020.1850 AccessLevel: 6 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Del+Rocco%2C+Joseph%22">Del Rocco, Joseph</searchLink> – Name: Author Label: Committee Members Group: Au Data: <searchLink fieldCode="CO" term="%22Kider+Jr%2E%2C+Joe%22">Kider Jr., Joe</searchLink> – Name: Abstract Label: Summary Group: Ab Data: The original research and development in this dissertation contributes to the field of building performance by actively harnessing a wider spectrum of directional solar radiation for use in buildings. Solar radiation (energy) is often grouped by wavelength measurement into the spectra ultraviolet (UV), visible (light), and short and long-wave infrared (heat) on the electromagnetic spectrum. While some of this energy is directly absorbed or deflected by our atmosphere, most of it passes through, scatters about, and collides with our planet. Modern building performance simulations, tools, and control systems often oversimplify this energy into scalar values for light and heat, when in reality they are interrelated directional spectral quantities of energy that are diffused and attenuated by clouds before colliding with surfaces. In addition to this, live building monitoring and control systems in-the-wild often do not track the location of the sun, separate direct sun energy from scattered sky energy, account for overcast clouds, considering occluded energy, etc. The work in this dissertation provides building energy simulations and control systems with finer-grain control over lighting and heating in order to optimize energy use and improve occupant well-being. We first present a data-driven machine learned sky model for predicting spectral radiance, and show how this technique can be used to produce spectral radiance maps for the entire hemispherical sky. We then integrate these predicted spectral radiance maps and other validated predictions into a custom radiosity engine in order to predict spectral daylighting and heating energy in building interiors. Finally, we present the design and prototyping of a cyber-physical building control system that monitors the sky and occupants in order to harness natural light and heat more effectively. We present ongoing and future work recommendations, such as sky cover projections to help reduce cooling recovery costs, and the use of spectral radiance maps in physically-based rendering engines. – Name: URL Label: URL Group: URL Data: <link linkTarget="URL" linkTerm="https://stars.library.ucf.edu/etd2020/851" linkWindow="_blank">https://stars.library.ucf.edu/etd2020/851</link> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ddu&AN=ddu.oai.stars.library.ucf.edu.etd2020.1850 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Subjects: – SubjectFull: Spectral radiance; Building energy simulation; Cyber-physical systems; Daylighting optimization; Solar radiation modeling Type: general – SubjectFull: Computer Sciences Type: general – SubjectFull: Power and Energy Type: general – SubjectFull: Solar energy--Research; Architecture and solar radiation; Solar energy--Computer simulation; Daylighting--Simulation methods; Solar radiation--Computer simulation Type: general Titles: – TitleFull: Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Del Rocco, Joseph IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Type: published Y: 2021 |
| ResultId | 1 |
