Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback

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.

Analysis of Energy-Saving Effect of Green Remodeling in Public Welfare Facilities for Net Zero: The Case of Public Daycare Centers, Public Health Centers, and Public Medical Institutions

“…If there was insufficient drawing information for the current state of the building before improvement, then the legal energy standards in the building permit year were applied through the building register [28,29].…”

“…As shown in Table 12, the current state of each building was applied as the state before green remodeling, and the performance improvement plan reflecting green remodeling consulting was set as the state after improvement for the simulation. If there was insufficient drawing information for the current state of the building before improvement, then the legal energy standards in the building permit year were applied through the building register [28,29].…”

Advancing Building Fault Diagnosis Using the Concept of Contextual and Heterogeneous Test

“…Data only reveals that some sensors or actuators are behaving properly. On the other hand, an occupant feedback-based diagnosis system is expensive to deploy in buildings due to a lack of man-machine-language interface [12,13]. The delicacy of these methods is to support an easy detection and giving the first impression about faults.…”

A case study on understanding energy consumption through prediction and visualization (VIMOEN)

“…In fact, several building energy management systems have been developed as analysis software for data acquisition and monitoring in diverse scenes. For instance, Sarma et al (Sarma, Singh & Bezboruah, 2018) presented a design of a low-cost data acquisition system for data monitoring, data storing and plotting of live streaming data; Tae-Keun et al (Oh, Lee, Park, Cha & Park, 2018) proposed a three-dimensional visualization solution for building energy management targeting recommendations to enhance the energy efficiency obtained from the energy consumption; and Pahl et al (Pahl, Goodhew, Boomsma & Sheppard, 2016) aimed at energy visualization, in which they investigate how to reduce energy consumption in buildings by combining psychology principles and intelligent techniques. As mentioned above, there are plenty of researchers and different approaches to address this problem.…”

“…Information visualisation has been extensively demonstrated as a viable tool for improved data understanding, as it increases concentration and makes information more attractive, hence supporting more informed decision-making (Oh et al, 2018). For this reason, we have developed an innovative application using recent web technologies and energy consumption forecasting methods to predict the waste of energy and improve the energy efficiency in a set of buildings located in different geographic zones.…”