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Thermal Environmental Conditions for Human Occupancy

Standard Ashrae
- Vol. 5
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The article was published on 1992-01-01 and is currently open access. It has received 5855 citations till now. The article focuses on the topics: Occupancy.

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Influence of occupant's heating set-point preferences on indoor environmental quality and heating demand in residential buildings

TL;DR: In this article, a probabilistic approach is proposed and applied to simulate occupant behavior realistically, which can be applied in all aspects of occupant's interactions with building controls, such as window openings, shading devices, etc., to achieve more realistic predictions of energy consumption.
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Performance evaluation and design guidelines for stratum ventilation

TL;DR: In this paper, the authors evaluate the performance of stratum ventilation systems for small to medium individual offices, open offices, classrooms, and retail shops operated under elevated room temperatures according to governmental guidelines.
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On the understanding of the mean radiant temperature within both the indoor and outdoor environment, a critical review

TL;DR: A review of the evolution of the concept's evolution including its qualitative definition, methods of quantitative evaluation and corresponding challenges can be found in this paper, which suggests that more effort needs to be invested in addressing the geometric complexities of radiant heat transfer in research into MRT; the ASHRAE definition is broad and is liable to simplification.
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Thermal comfort and IAQ analysis of a decentralized DOAS system coupled with radiant cooling for the tropics

TL;DR: In this paper, the performance of a decentralized dedicated outdoor air system combined with a radiant cooling system (decentralized DOAS-RCS) was evaluated in terms of occupant thermal comfort and indoor air quality for the tropical context.
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People occupancy detection and profiling with 3D depth sensors for building energy management

TL;DR: A computational framework for occupancy detection and profiling based exclusively on depth data is presented, and the preliminary results achieved by using two different depth sensors and synthetic data are very promising, outperforming existing approaches.