Preprint Article Version 1 This version is not peer-reviewed

3D Visualization Solution to Building Energy Diagnosis for Energy Feedback

Version 1 : Received: 17 May 2018 / Approved: 17 May 2018 / Online: 17 May 2018 (13:31:05 CEST)

How to cite: Oh, T.; Lee, D.; Park, M.; Cha, G.; Park, S. 3D Visualization Solution to Building Energy Diagnosis for Energy Feedback. Preprints 2018, 2018050253 (doi: 10.20944/preprints201805.0253.v1). Oh, T.; Lee, D.; Park, M.; Cha, G.; Park, S. 3D Visualization Solution to Building Energy Diagnosis for Energy Feedback. Preprints 2018, 2018050253 (doi: 10.20944/preprints201805.0253.v1).

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 consumers to change their energy-consumption behaviors. The strategy has been principally focused on providing energy-consumption information. However, realization of energy savings using only consumption information remains limited. In this paper, a building-energy three-dimensional (3D) visualization solution is thus proposed. This solution includes the process of diagnosing a building and providing prediction of energy requirements if a building improvement is undertaken. Accurate diagnostic information is provided by real-time measurement data from sensors and building models using a close-range photogrammetry (CRP) 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 aim is to determine if the building manager will replace the facility after our recommendation is given to improve the building energy efficiency driven from the energy information. 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.

Subject Areas

energy diagnosis; close-range photogrammetry; energy efficiency; visualization of information; energy feedback

Readers' Comments and Ratings (0)

Leave a public comment
Send a private comment to the author(s)
Rate this article
Views 0
Downloads 0
Comments 0
Metrics 0
Leave a public comment

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.