A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces
User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), huma...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/19/5507 |
| _version_ | 1797552548250386432 |
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| author | Teng-Wen Chang Hsin-Yi Huang Chung-Wen Hung Sambit Datta Terrance McMinn |
| author_facet | Teng-Wen Chang Hsin-Yi Huang Chung-Wen Hung Sambit Datta Terrance McMinn |
| author_sort | Teng-Wen Chang |
| collection | DOAJ |
| description | User behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model. |
| first_indexed | 2024-03-10T16:02:38Z |
| format | Article |
| id | doaj.art-5b4f107188554feca3f4959f66b10d00 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:02:38Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5b4f107188554feca3f4959f66b10d002023-11-20T15:08:53ZengMDPI AGSensors1424-82202020-09-012019550710.3390/s20195507A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making SpacesTeng-Wen Chang0Hsin-Yi Huang1Chung-Wen Hung2Sambit Datta3Terrance McMinn4College of Design, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, TaiwanCollege of Design, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, TaiwanDepartment of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, TaiwanSchool of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, AustraliaShunya Pty Ltd., 44 Marcus Avenue, Booragoon, WA 6154, AustraliaUser behaviour and choice is a significant parameter in the consumption patterns of energy in the built environment. This paper introduces a behavior-based approach for developing smart energy applications. With the rapid development of wireless sensor networks and the Internet of Things (IoT), human-computer interfaces can be created through the mapping of user experiences. These applications can provide users with dynamic feedback on their energy consumption patterns in their built environment. The paper describes a “Sensible Energy System” (SENS) that is based on user experience design methods with sensor network technology. Through SENS, solar energy simulation is combined with device consumption data in order to achieve an IoT network to facilitate the interaction between user behaviors and electricity consumption. The interaction between users and devices through SENS can not only optimize power consumption, but also provide consumers with additional choice and dynamic decision making regarding their consumption. This article provides an (1) understanding and analysis of users’ spatial interaction, explains the (2) planning of the new smart environment design and user experiences, discusses (3) designing a suitable Wireless sensor network (WSN) agent and energy connection, describes (4) the information that has been collected, and (5) incorporates a rooftop solar potential simulation for predicting energy outputs into the sensor network model.https://www.mdpi.com/1424-8220/20/19/5507internet of thingssolar energysmart buildingsuser behaviourambient agentswireless sensor networks |
| spellingShingle | Teng-Wen Chang Hsin-Yi Huang Chung-Wen Hung Sambit Datta Terrance McMinn A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces Sensors internet of things solar energy smart buildings user behaviour ambient agents wireless sensor networks |
| title | A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
| title_full | A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
| title_fullStr | A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
| title_full_unstemmed | A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
| title_short | A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
| title_sort | network sensor fusion approach for a behaviour based smart energy environment for co making spaces |
| topic | internet of things solar energy smart buildings user behaviour ambient agents wireless sensor networks |
| url | https://www.mdpi.com/1424-8220/20/19/5507 |
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