Open Access
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.read more
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A home energy management system with an integrated smart thermostat for demand response in smart grids
TL;DR: A mixed-integer linear programming (MILP)-based HEMS performs day-ahead load scheduling for cost-minimization and provides optimal demand response (DR) and photovoltaic (PV) self-consumption, and the fuzzy logic-based thermostat aims efficient DR of air-conditioning and maintenance of thermal comfort.
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The impact of increasing the building envelope insulation upon the risk of overheating in summer and an increased energy consumption
TL;DR: In this article, the authors describe a study aiming to establish the impact of the increase of the building envelope insulation upon the thermal performance of buildings, and a particular emphasis is placed upon the consequences in terms of higher temperatures in summer, potentially leading to increased needs for installation of air-conditioning.
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Modelling personal thermal sensations using C-Support Vector Classification (C-SVC) algorithm
Lai Jiang,Runming Yao +1 more
TL;DR: In this paper, a novel personal thermal sensation modelling method based on the C-Support Vector Classification (C-SVC) algorithm has been developed for personalised conditioning system (PCS) control.
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Thermal Comfort Analysis of PMV Model Prediction in Air Conditioned and Naturally Ventilated Buildings
TL;DR: In this paper, an analysis of PMV model in naturally ventilated and air conditioned buildings present the percentage of under/over estimation level. But, the overestimation rate in HVAC buildings is higher than NV buildings.
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Neural network and polynomial approximated thermal comfort models for HVAC systems
TL;DR: In this article, two approximated models for the PMV index are proposed, one based on an artificial neural network and the other making use of polynomial expansions, aimed at using these approximated indices within model predictive control frameworks.