2015
DOI: 10.1016/j.proeng.2015.09.161
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Energy Modeling and Chillers Sizing of HVAC System for a Hotel Building

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Cited by 20 publications
(6 citation statements)
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“…Existing scientific work on HVAC sizing and performance mainly focus on how to right-size or to identify and prevent oversizing related to chillers, plants or rooftop units such as (Djunaedy et al 2011, Gorter 2012, Wang et al 2015. Studies focusing on AHU rightsizing and oversizing such as (EPA 1995, Crozier 2000, Thomas and Moller 2006 evaluate the sizing and performance level based on airflow and energy-efficiency, however they do not include an evaluation on the thermal conditions and IAQ even though they mention how these are affected by grossly oversized AHUs.…”
Section: Contribution To Existing Research On Hvac Performance and Sizing Evaluationmentioning
confidence: 99%
“…Existing scientific work on HVAC sizing and performance mainly focus on how to right-size or to identify and prevent oversizing related to chillers, plants or rooftop units such as (Djunaedy et al 2011, Gorter 2012, Wang et al 2015. Studies focusing on AHU rightsizing and oversizing such as (EPA 1995, Crozier 2000, Thomas and Moller 2006 evaluate the sizing and performance level based on airflow and energy-efficiency, however they do not include an evaluation on the thermal conditions and IAQ even though they mention how these are affected by grossly oversized AHUs.…”
Section: Contribution To Existing Research On Hvac Performance and Sizing Evaluationmentioning
confidence: 99%
“…However, due to the complexity of the situation, approaching the optimization of energy use in all facilities is fairly difficult. The use of accessible energy modeling to analyze energy use for whole-building simulations is generally acknowledged to be the most successful approach [3].…”
Section: Introductionmentioning
confidence: 99%
“…A large amount of building energy consumption is contributed by its cooling system. Optimizing the capacity of the cooling system by energy modeling can reduce the power consumption and cost of operation [15][16][17]. Yu et al [18] concluded that enabling occupants' individual control in decentralized systems can improve comfort and save energy when compared to centralized systems.…”
Section: Introductionmentioning
confidence: 99%
“…A large amount of building energy consumption is contributed by its cooling system. Optimizing the capacity of the cooling system by energy modeling can reduce the power consumption and cost of operation 15–17. Yu et al.…”
Section: Introductionmentioning
confidence: 99%