The self-programming thermostat

Gao, Ge; Whitehouse, Kamin

doi:10.1145/1810279.1810294

Cited by 73 publications

(3 citation statements)

References 11 publications

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“…Monitoring occupancy with the help of security cameras in commercial and residential building is non-redundant and cost-effective approach to provide occupant comfort. 78 A camera sensor is capable of providing various levels of occupancy information, such as presence, location, activity, identity, tracking, headcount 79 and recording of behaviour. A wireless network of camera sensors inside a building gathers zone occupancy information and can control the HVAC system.…”

Section: Occupancy Sensing Approachesmentioning

confidence: 99%

Occupancy detection systems for indoor environments: A survey of approaches and methods

Trivedi

Badarla

2019

Indoor and Built Environment

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Utilization of smart services for indoor environments has gained extensive interest in the past decade due to the resulting increases in energy savings, user comfort and degree of automation. Occupancy detection is a critical element in automation systems due to its potential use in controlling electrical systems and devices such as lighting, air-conditioning and ventilation. It also has a high potential for improving the performance of demand-driven applications which require fine-grained occupancy information to optimize the trade-off between energy consumption and user comfort. Occupancy detection has been researched using different estimation methods and communication technologies. However, it remains challenging to procure sensory data and to model the occupancy information accurately due to the limitations of hardware deployment and underlying cost. This paper reviews existing occupancy methods and applications, along with their underlying issues. It provides a comparative analysis of the strategies from the perspectives of cost, intrusiveness and accuracy. Additionally, a new taxonomy which classifies the occupancy sensing techniques as being conventional or as alternate sensing has been proposed.

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Section: Occupancy Sensing Approachesmentioning

confidence: 99%

Occupancy detection systems for indoor environments: A survey of approaches and methods

Trivedi

Badarla

2019

Indoor and Built Environment

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“…At present, the focus of the industry is to produce buildings with greater energy efficiency, overseeing equipment such as HVAC [19] [20], lighting [21] and energy consumption management [22] [23].…”

Section: Introductionmentioning

confidence: 99%

“…Today, the focus of the industry is to produce buildings with greater energy efficiency, by overseeing the equipment, such as HVAC [19] [20], lighting [21] and energy consumption management [22] [23]. Nevertheless, active systems are responsible for less energy consumption (kWh/(m 2 .annual)) when compared to passive's, according to data provided by Fachinstitut Gebäude-Klima e.V., 2007 [24].…”

Section: Introductionmentioning

confidence: 99%

Automation for building performance and maintenance efficiency

Cortiços¹

2018

Creative Construction Conference 2018 - Proceedings

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In Western Europe, 80% of buildings will continue to exist beyond 2050. Almost all, 98-99%, need to be updated and maintained in conformity with the requirements to new buildings, designated as nearly zero-energy buildings (nZEBs). In principle, buildings with modern superstructures have a potential lifespan of over 120 years, without compromising safety. Considering materials, labor, logistics, pollution, gas emissions, energy involved in the construction and assuming its heritage value, it is recommended a full modernization of buildings to assure their utility in favor of communities. This research focuses on reaching the maintenance efficiency and buildings performance, without increasing the costs. The Model is designed to measure and anticipate the degradation of buildings, in three steps. Starting with a network of active sensors, embedded and non-embedded in layers of components and subcomponents, which survey and monitor the condition of the building systems. Those will provide accurate data for computational analysis (first step) and quantify and qualify the viability of construction systems with the highest impact on building performance. The information supports the managers' decisions (second step), before compromising the materials and the constructive solutions, saving work time, reducing maintenance costs, and assuring the highest performance, while preserving user's comfort. And promote a rapid and specific response to stop early anomalies (third step), by obtaining an outsourced contract to respond to daily basis needs (and not tasks) with specialized technicians. The information collected will help to determine policies, anticipate anomalies, plan proper maintenance, ranking investments and intervene on marked systems. The three-step model aims for a reduction of natural resources usage, a decrease of human impact, to increase the efficiency and to improve the performance of the building stock.

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