Oh, T.-K.; Lee, D.; Park, M.; Cha, G.; Park, S. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies2018, 11, 1736.
Oh, T.-K.; Lee, D.; Park, M.; Cha, G.; Park, S. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies 2018, 11, 1736.
Oh, T.-K.; Lee, D.; Park, M.; Cha, G.; Park, S. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies2018, 11, 1736.
Oh, T.-K.; Lee, D.; Park, M.; Cha, G.; Park, S. Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback. Energies 2018, 11, 1736.
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.
Keywords
energy diagnosis; close-range photogrammetry; energy efficiency; visualization of information; energy feedback
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
