Intelligent adaptive automation: A framework for an activity-driven and user-centered building automation

Ahmadi-Karvigh, Simin; Becerik-Gerber, Burçin; Soibelman, Lúcio

doi:10.1016/j.enbuild.2019.02.007

Cited by 34 publications

(24 citation statements)

References 38 publications

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“…Building automation is a promising solution for low-energy buildings, particularly when actuation systems and ubiquitous sensing devices are used in conjunction with Artificial Intelligence (AI) (Fig. 1a) in and outside buildings [4]. AI algorithms can process many information streams from sensing devices, and allow intelligent building components to make autonomous decisions that aim to optimise operational building performance [5].…”

Section: Introductionmentioning

confidence: 99%

Occupant-Facade interaction: a review and classification scheme

Luna-Navarro

Loonen

Juaristi

et al. 2020

Building and Environment

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The interest in occupant interaction with building controls and automation systems is growing due to the wider availability of embedded sensing devices and automated or intelligent building components that can integrate building control strategies with occupant-centred data and lead to greater occupant satisfaction and reduction in energy consumption. An area of particular interest is the interaction strategies between occupants and the so called automated facades, such as dynamic shading devices and switchable glazing. Occupant-Facade interactions are often disruptive and source of dissatisfaction because of conflicts between competing requirements, e.g. energy-efficiency and indoor environmental quality. To solve these conflicts, expertise from several disciplines is required, including Behavioural Science and Building Physics, but the absence of common research frameworks impedes knowledge transfer between different fields of expertise. This paper reviews existing multi-disciplinary research on occupant interaction with facades, buildings and automation systems and provides a new classification scheme of Occupant-Facade interaction. The scheme is based on an extensive review of interactive scenarios between occupants and facades that are summarised in this paper. The classification scheme was found to be successful in: 1) capturing the multidisciplinary nature of interactive scenarios by clarifying relationships between components; 2) identifying similarities and characteristics among interactive scenarios; 3) understanding research gaps. The classification scheme proposed in this paper has the potential to be a useful tool for the multi-disciplinary research community in this field. The review also showed that more research is needed to characterise the holistic and multi-disciplinary effect of occupant interaction with intelligent building components.

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Section: Introductionmentioning

confidence: 99%

Occupant-Facade interaction: a review and classification scheme

Luna-Navarro

Loonen

Juaristi

et al. 2020

Building and Environment

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“…Residential sector is the second highest energy consuming sector after Industry. The per capita residential energy consumption is 0.63 Mwh which is third highest after China and U.S [6] From Fig 3 it is evident that Energy saving potential is more than one third for domestic residential sector.…”

Section: Analyzing Energy Efficiency Factors Of Residential Towers Usmentioning

confidence: 95%

“…The subfactor Building Automation System (EAW2) is the second top subfactor. Because most of the service operational in energy systems can be made more efficient using Building Automation and administering building automation system does not require any behavioral changes from the occupants of the building [6]. The third highest Subfactor is obtained by subfactor Guest Education (EAW1) with a weightage 0.095.…”

Section: Table-iii Weight For Main Factorsmentioning

confidence: 99%

Analyzing Energy Efficiency Factors of Residential Towers using fuzzy AHP: A case from India

2019

IJITEE

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Increasing population, rising cost of energy bills and non-availability of housing land in cities has necessitated the need to build high rise residential towers for living purposes. As these towers are operational throughout the year, the energy consumed for maintenance and operation of such buildings is huge. Attaining building energy efficiency is a significant step towards conserving energy and minimizing the cost of utility bills. To achieve this factors that lead to energy efficient operations and maintenance of the residential towers must be found and prioritized. This research work is one such case study conducted on residential towers in South India, to find the energy efficiency factors in a building and prioritizing them according to their relative importance. The results showed that Building energy administration, energy Audits and Building Automation system are among the top factors that can highly influence the energy consumption pattern in a building. The Analysis is conducted using fuzzy AHP methodology and validated through sensitivity analysis. Further the paper also discusses the results and provides managerial application as a roadmap for energy efficiency in buildings

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“…2,4,[29][30][31][32][33][34][35][36][37][38][39][40] Low-cost android application (app) contained a smart home system prepared to remotely turn on/off a group of 208 devices using only four digital pins of an Arduino UNO board-based ATmega328 microcontroller. 41 The appliance-switching scheme requires approximately 70% lower cable costs for reallife fitting in home correlation to the standard devices linked. The smart home system includes repeated alerts by light if it detects humans very near at night and the ''exterior mode'' will shut it down for each single machine connected to the system with a touch from the Android app when the user leaves.…”

Section: Introductionmentioning

confidence: 99%

Internet of Green Things with autonomous wireless wheel robots against green houses and farms

Ram

Ravimaran²,

Krishnan

et al. 2020

International Journal of Distributed Sensor Networks

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Nowadays, smart farming involves the integration of advanced technologies that incorporate low-cost robots to meet the required knowledge and maintain the health of plants in farming. Technologies like precision agriculture are also used to optimize resources based on the field condition. Internet of Green Things is also one of the technologies to integrate and share the information between people and healthy farm things. Internet of Green Things gives the information like soil moisture, temperature, humidity, and nutrient level by means of respective sensors. Monitoring and information gathering in green houses with the help of robots is a tedious and expensive process. In this connection, information is shared among low-cost robots encouraging data availability of the current state of a plant with other robots. This will emphasize the monitoring of green houses in a well-organized way. In this article, a Flask-based framework through Raspberry Pi is proposed for interoperability among the low-cost ESP8266 robots. Data gathering is performed by smart robots that are accessible through Message Queuing Telemetry Transport subscribes by means of Representational State Transfer Application Programming Interface. A cloud-like database server is provided to stock up the data. The integration of robotics with Internet of Green Things gains more advantage in gathering about spatial information data that are connected with the irrigation. Visualization techniques and perspectives based on Internet of Green Things for precision agriculture in the field of farming are highlighted.

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Intelligent adaptive automation: A framework for an activity-driven and user-centered building automation

Cited by 34 publications

References 38 publications

Occupant-Facade interaction: a review and classification scheme

Occupant-Facade interaction: a review and classification scheme

Analyzing Energy Efficiency Factors of Residential Towers using fuzzy AHP: A case from India

Internet of Green Things with autonomous wireless wheel robots against green houses and farms

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