Real-time energy visualization system for light commercial businesses

Smith, Nathaniel; Nimbarte, Ashish D.; Gopalakrishnan, Bhaskaran

doi:10.1016/j.seta.2019.04.005

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Regarding the content of energy data, it is important to identify the energy performance metrics, also known as key performance indicators. A case study was performed to identify the key performance indicators for small commercial businesses (Smith et al, 2019). Table 1 identifies the key performance indicators, the relevant data set, and the sensors used to obtain the data set.…”

Section: The Design Approachmentioning

confidence: 99%

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Human Factors Evaluation of Energy Visualization Dashboards

Nimbarte¹,

Smith²,

Gopalakrishnan³

2021

Ergonomics in Design: The Quarterly of Human Factors Applicatio

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Energy visualization systems provide information about use in real-time to assist users with energy efficiency. In this study, three energy visualization dashboards for small businesses were developed and tested. Performance measurement, NASA Task Load Index (TLX) workload assessment, and posttest survey were used to conduct the usability testing. Compared with the dashboards that were designed using line charts and tables, a dashboard designed using visuals (e.g., gauges, pie charts, and flashing lights) produced quicker response time, lower mental and temporal demand and effort ratings, and higher ratings of engagement, interest, and trustworthiness.

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Section: The Design Approachmentioning

confidence: 99%

“…Development of a framework with regard to operational, technical, budgetary, and other constraints specific to light commercial businesses. The framework was developed adhering to the criteria of the open database-driven system and was tested for economic feasibility (Smith et al, 2019). 2.…”

Section: Introductionmentioning

confidence: 99%

Human Factors Evaluation of Energy Visualization Dashboards

Nimbarte¹,

Smith²,

Gopalakrishnan³

2021

Ergonomics in Design: The Quarterly of Human Factors Applicatio

Self Cite

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“…To design a powerful energy consumption visualization tool, multiple data sources are fused in order to provide end-users with relevant information about the factors that affect their energy usage. A set of visualization tools can be found in the following frameworks [98,99,100,101].…”

Section: Data Fusion Techniques (F)mentioning

confidence: 99%

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Himeur,

Alsalemi,

Al-Kababji

et al. 2020

Preprint

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Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an efficient energy efficiency system is not straightforward; it requires a priori knowledge of existing fusion strategies, their applications and their properties. To this regard, seeking to provide the energy research community with a better understanding of data fusion strategies in building energy saving systems, their principles, advantages, and potential applications, this paper proposes an extensive survey of existing data fusion mechanisms deployed to reduce excessive consumption and promote sustainability. We investigate their conceptualizations, advantages, challenges and drawbacks, as well as performing a taxonomy of existing data fusion strategies and other contributing factors. Following, a comprehensive comparison of the state-of-theart data fusion based energy efficiency frameworks is conducted using various parameters, including data fusion level, data fusion techniques, behavioral change influencer, behavioral change incentive, recorded data, platform architecture, IoT technology and application scenario. Moreover, a novel method for electrical appliance identification is proposed based on the fusion of 2D local texture descriptors, where 1D power signals are transformed into 2D space and treated as images. The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored.Keywords Data fusion • energy efficiency • sensors • appliance identification • fusion of 2D descriptors • machine learning.

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“…Li et al 12 developed a measurement and control system for helium liquefier based on PLC and HMI to achieve specific values of the outlet temperature of the secondary turbine and the temperature before the throttle valve. Smith et al 13 used PLC and HMI combined with Visual Basic.NET programming language to develop an electric vehicle system framework scheme for light commercial enterprises and verified that the scheme was economical and flexible through the audit. Su et al 14 designed a thermal simulator control system using PLC and Siemens SINAMICS V90PN servo control system to achieve high-speed data acquisition and data analysis and processing, as well as precise positioning and rapid-response control.…”

Section: Introductionmentioning

confidence: 99%

Application of PLC and HMI in the measurement and control platform of single-tube heat transfer experiment rig

Chang

Xie

Wang

et al. 2014

Advances in Mechanical Engineering

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The single-tube heat transfer experiment rig is composed of various equipment and devices connected through pipelines. This paper adopts Siemens PLC as the main controller and cooperates with WEINVIEW HMI MT6000 series HMI to design the experimental measurement and control platform of a single-tube heat transfer experiment rig. In the single-tube heat transfer experiment measurement and control platform, the PLC communicates with the HMI through an RS-485 cable, and the HMI can display the experimental data changes in real-time and has a separate control interface. The-single tube heat transfer experiment measurement and control platform is safe and reliable, with functions such as real-time monitoring and acquisition, real-time fault alarm, parameter change, and remote control, which simplifies the steps of data acquisition, reduces the difficulty of equipment control, and realizes the automatic acquisition and control.

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Real-time energy visualization system for light commercial businesses

Cited by 6 publications

References 9 publications

Human Factors Evaluation of Energy Visualization Dashboards

Human Factors Evaluation of Energy Visualization Dashboards

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Application of PLC and HMI in the measurement and control platform of single-tube heat transfer experiment rig

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