Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback
Tae-Keun Oh,
Donghwan Lee,
Minsoo Park,
Gichun Cha and
Seunghee Park
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Tae-Keun Oh: Department of Safety Engineering, Incheon National University, 119, Academy-ro, Yeonsu-gu, Incheon 22012, Korea
Donghwan Lee: Department of Convergence Engineering for Future City, Sungkyunkwan University, 2066, Seobu-ro, Suwon-si 16419, Gyeonggi-do, Korea
Minsoo Park: Department of Civil, Architectural and Environmental System Engineering, Sungkyunkwan University, 2066, Seobu-ro, Suwon-si 16419, Gyeonggi-do, Korea
Gichun Cha: Department of Convergence Engineering for Future City, Sungkyunkwan University, 2066, Seobu-ro, Suwon-si 16419, Gyeonggi-do, Korea
Seunghee Park: School of Civil, Architectural Engineering and Landscape Architecture Sungkyunkwan University, 2066, Seobu-ro, Suwon-si 16419, Gyeonggi-do, Korea
Energies, 2018, vol. 11, issue 7, 1-18
Abstract:
Owing to the large ratio of consumption in the building sector, energy-saving strategies are required. Energy feedback is an energy-saving strategy that prompts consumers to change their energy-consumption behaviors. The strategy has been principally focused on providing energy-consumption information. However, the realization of energy savings using only consumption information remains limited. In this paper, a building-energy, three-dimensional (3D) visualization solution is thus proposed. The aim is to determine if the building manager will replace the facility after our recommendation to improve the building-energy efficiency derived from the energy information is given. This solution includes the process of diagnosing a building and providing a prediction of energy requirements if a building improvement effort is undertaken. Accurate diagnostic information is provided by real-time measurement data from sensors and building models using a close-range photogrammetry method, without depending on blueprints. The information is provided by employing visualization effects to increase the energy-feedback efficiency. The proposed strategy is implemented on two testbeds, and building diagnostics are performed accordingly. For the first testbed, the predicted energy improvement amount resulting from the facility upgrade is provided. The second testbed is provided with a 3D visualization of the energy information. The predicted value of energy improvement was derived from the improvement plan through energy diagnosis in each testbed as about 30% and as about 28%, respectively. Unlike existing systems, which provide only ambiguous data that lack quantitative information, this study is meaningful because it provides energy information with the aid of visualization effects before and after building improvements.
Keywords: energy diagnosis; close-range photogrammetry; energy efficiency; visualization of information; energy feedback (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:7:p:1736-:d:155821
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