Visualizing energy-related data from zero emission buildings

Author: Stian Nyblom

NTNU Open: Visualizing energy-related data from zero emission buildings

Short description

Theme: Prototype and evaluation of a dashboard for energy use in a zero-emission building

Type of Thesis: Development/evaluation of IT solution 

Abstract

This study presents a prototype of a dashboard-based visualization solution developed to showcase data from a zero-emission building used as a case example. The solution includes charts displaying data related to various key performance indicators (KPIs), enabling efficient monitoring of the building’s sustainable technologies’ performance.

Evaluation of this visualization solution was carried out through interviews and surveys based on the Technology Acceptance Model (TAM) and the System Usability Scale (SUS), with researchers and first-year architecture students representing two identified stakeholder groups. The surveys aimed to assess the usefulness, user-friendliness, and potential for replacing existing dashboards currently used to visualize the building’s performance data.

The prototype was generally considered user-friendly and useful, though not all researchers found it beneficial, based on the current charts in the solution, for their specific work needs. The visualization solution was also not regarded as a full replacement for the existing Grafana dashboards, but rather as a complementary tool. Further development is suggested to improve its functionality and potential as a standalone solution.
 

Sustainability analysis

The thesis has clear direct relevance to sustainability as it deals with the presentation and use of data that visualizes energy performance (production and consumption) in zero-emission buildings.

The analysis is based on a dashboard for monitoring energy production and consumption in a zero-emission building (ZEB - Zero Emission Building). 

The analysis is based on the use of the system by two primary user groups:

1. Researchers/planners working with sustainable technology and who have extensive knowledge in this area. They may be interested in an overview of the building’s energy performance and may also want access to raw data. These users can use the solution to identify areas that need adjustment or further research, or to learn from the project in the context of future projects.

2. Visitors/residents have limited knowledge of sustainable building technologies but may have a general interest in observing the building’s performance. They have little or no ability to change the system itself, but they can change their behavior, which influences energy consumption, after receiving relevant information.

The dashboard provides access to sensor data, which is a positive and immediate impact on the technical dimension.

This access leads to some challenges which, by requiring resources, can be understood as negative impacts on the technical dimension: both the IT solution and the sensors require maintenance. Maintenance of solar panels and other parts of the physical infrastructure also falls within the technical dimension.

On the human dimension, we have two positive impacts that can also be understood as assumptions for the analysis: We assume that the tool (the dashboard) is user-friendly and personalized.

By being user-friendly, the tool enables users to learn about energy consumption.

New knowledge about energy consumption can influence user behavior (e.g., leading them to use less electricity). This can be understood as a positive and long-term change that can be placed at the systemic level in the model. At the same time, at the systemic level, negative effects related to privacy may arise, as the solution collects and makes available data that is partly based on individual behavior.

On the enabling dimension, the solution has an immediate impact by visualizing energy consumption.

This information can in turn be used to achieve reduced/minimized energy consumption.

At the systemic level, such changes over time, linked to various buildings, can enable the development of a sustainable city.

On the economic dimension, the reduced energy consumption will lead to lower energy bills for the building in question. At the same time, maintenance of sensors and the IT solution will incur a cost, which can be seen as a negative economic sustainability impact.