HVAC control strategies to enhance comfort and minimise energy usage

Mathews, E.H.; Botha, Christoff; Arndt, Deon C.; Malan, Arnaud G.

doi:10.1016/s0378-7788(01)00075-5

Cited by 125 publications

(55 citation statements)

References 4 publications

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“…where the state vectors x n satisfy the state equations (1) and (2), and the dependence of W on the exogenously given terms ν andx 1 has been supressed from the notation. As in Section II-A, the summation term measures the benefit (comfort) attained by R from the thermal conditions inside his house during periods 1, .…”

Section: Appendix B Extended Motivation For the Comfort/cost Trade-ofmentioning

confidence: 99%

“…Previous research on comfort and energy management issues has largely focused on large building environments with many occupants [2]- [5]. As detailed in the 2009 survey by Dounis and Caraiscos [6], these studies consider not only heating and cooling systems but also other building design features such as window placements, window shading, mechanical ventilation systems, and lighting systems.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Residential Air-Conditioning System With Smart-Grid Functionality

Thomas

Jahangiri

et al. 2012

IEEE Trans. Smart Grid

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Abstract-This paper sets forth a novel intelligent residential air-conditioning (A/C) system controller that has smart grid functionality. The qualifier "intelligent" means the A/C system has advanced computational capabilities and uses an array of environmental and occupancy parameters in order to provide optimal intertemporal comfort/cost trade-offs for the resident, conditional on anticipated retail energy prices. The term "smartgrid functionality" means that retail energy prices can depend on wholesale energy prices. Simulation studies are used to demonstrate the capabilities of the proposed A/C system controller.

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Section: Appendix B Extended Motivation For the Comfort/cost Trade-ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Residential Air-Conditioning System With Smart-Grid Functionality

Thomas

Jahangiri

et al. 2012

IEEE Trans. Smart Grid

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“…For new buildings and major refurbishments, improvements in energy efficiency stemming from increasingly strict greenhouse gas emissions targets is leading to a focus on technological improvements in buildings (Escrivá-Escrivá et al 2010;Dounis & Caraiscos 2009;Mathews et al 2001). Part L of the UK Building Regulations is mainly concerned with carbon emissions, and hence energy consumption associated with the fixed building services, e.g.…”

Section: Introductionmentioning

confidence: 99%

Identifying Energy Savings Opportunities for a Multi-use Venue Building

Ansari

Larsen

Shao

2018

Future Cities and Environment

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Multi-use venue buildings are an extreme example of buildings with flexible use. Such buildings have high occupant diversity factors and inconsistent occupant-building interaction leading to highly changeable demands of the building services. Intensive monitoring of a case study multi-use venue building was carried out in order to analyse its energy performance and identify energy saving opportunities. Results are presented from three distinct uses of the building, with each analysed as a separate case study. The analysis focused on exploring relationships between variables for each event; identifying multiple energy savings opportunities. Poor building management system (BMS) scheduling led to 49% of total gas use across all three events being estimated as waste, whereas inappropriate set points accounted for 7%. Event organiser behaviour led to 6% of total electricity across all three events estimated as waste, whereas inflexible controls accounted for 2%. Based on these results, venue building managers may find that prior knowledge of building activity and more accurate occupancy hours could yield significant energy savings through proactive energy management.

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“…46 Numerous studies have demonstrated that an increase in outdoor ventilation rate can improve 47 occupant health and productivity [21][22][23][24][25][26], and reduce the energy consumption of the HVAC 48 (Heating, Ventilation and Air Conditioning) system inside office buildings by taking 49 advantage of free cooling during mild weather (i.e. when the outdoor temperature is equal to 50 or lower than the desired indoor temperature) [27,28]. However, increasing the outdoor 51 ventilation rate can also increase indoor particle levels, especially in buildings located in areasA c c e p t e d M a n u s c r i p t 3 with high outdoor particle concentrations due to vehicle emissions [1,[29][30][31][32][33] and particle 53 formation (nucleation) events [34].…”

Section: Introduction 34mentioning

confidence: 99%

Co-optimisation of indoor environmental quality and energy consumption within urban office buildings

Quang

Knibbs

et al. 2014

Energy and Buildings

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15This study aimed to develop a multi-component model that can be used to maximise indoor 16 environmental quality inside mechanically ventilated office buildings, while minimising 17 energy usage. The integrated model, which was developed and validated from fieldwork data, 18 was employed to assess the potential improvement of indoor air quality and energy saving 19 under different ventilation conditions in typical air-conditioned office buildings in the 20 subtropical city of Brisbane, Australia. When operating the ventilation system under predicted 21 optimal conditions of indoor environmental quality and energy conservation and using 22 outdoor air filtration, average indoor particle number (PN) concentration decreased by as 23 much as 77%, while indoor CO 2 concentration and energy consumption were not significantly 24 different compared to the normal summer time operating conditions. Benefits of operating the 25 system with this algorithm were most pronounced during the Brisbane's mild winter. In terms 26of indoor air quality, average indoor PN and CO 2 concentrations decreased by 48% and 24%, 27 respectively, while potential energy savings due to free cooling went as high as 108% of the 28 1 Corresponding author: International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia. Tel.: +61 7 3138 2616; Fax: +61 7 3138 9079. E-mail address: l.morawska@qut.edu.au (L. Morawska). Page 2 of 34A c c e p t e d M a n u s c r i p t 2 normal winter time operating conditions. The application of such a model to the operation of 29 ventilation systems can help to significantly improve indoor air quality and energy 30 conservation in air-conditioned office buildings. 31Keywords: particle number, CO 2 , temperature, outdoor air flow rate, multi-component model, 32optimum. 33

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HVAC control strategies to enhance comfort and minimise energy usage

Cited by 125 publications

References 4 publications

Intelligent Residential Air-Conditioning System With Smart-Grid Functionality

Intelligent Residential Air-Conditioning System With Smart-Grid Functionality

Identifying Energy Savings Opportunities for a Multi-use Venue Building

Co-optimisation of indoor environmental quality and energy consumption within urban office buildings

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