Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582833/ https://www.ncbi.nlm.nih.gov/pubmed/32992965 http://dx.doi.org/10.3390/s20195507 |
_version_ | 1783599281499799552 |
---|---|
author | Chang, Teng-Wen Huang, Hsin-Yi Hung, Chung-Wen Datta, Sambit McMinn, Terrance |
author_facet | Chang, Teng-Wen Huang, Hsin-Yi Hung, Chung-Wen Datta, Sambit McMinn, Terrance |
author_sort | Chang, Teng-Wen |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7582833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75828332020-10-28 A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces Chang, Teng-Wen Huang, Hsin-Yi Hung, Chung-Wen Datta, Sambit McMinn, Terrance Sensors (Basel) Article 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. MDPI 2020-09-25 /pmc/articles/PMC7582833/ /pubmed/32992965 http://dx.doi.org/10.3390/s20195507 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Teng-Wen Huang, Hsin-Yi Hung, Chung-Wen Datta, Sambit McMinn, Terrance A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582833/ https://www.ncbi.nlm.nih.gov/pubmed/32992965 http://dx.doi.org/10.3390/s20195507 |
work_keys_str_mv | AT changtengwen anetworksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT huanghsinyi anetworksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT hungchungwen anetworksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT dattasambit anetworksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT mcminnterrance anetworksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT changtengwen networksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT huanghsinyi networksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT hungchungwen networksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT dattasambit networksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces AT mcminnterrance networksensorfusionapproachforabehaviourbasedsmartenergyenvironmentforcomakingspaces |