Review of HVAC scheduling techniques for buildings towards energy-efficient and cost-effective operations

Haniff, Mohamad Fadzli; Selamat, Hazlina; Yusof, Rubiyah; Buyamin, Salinda; Ismail, Fatimah Sham

doi:10.1016/j.rser.2013.06.041

Cited by 99 publications

(13 citation statements)

References 31 publications

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“…Finally, the inability to consider realistic occupant thermostat use behaviors in HVAC design and simulation has been shown to result in problems with occupant discomfort and failure to meet operator energy savings goals in commercial buildings [59][60][61][62].…”

Section: The Human Dimensions Of Building Design: Architects and Engimentioning

confidence: 99%

“…Innovative building EMCS and technologies are now available to support smart building automation and operation [59,138]. Based on machine learning processes, indoor and outdoor environmental parameters, as well as occupant presence, comfort, and action data are labeled, memorized, and re-employed to improve algorithms ruling the control system of the building automation system (BAS) [61,114].…”

Section: Supporting Research Advancementsmentioning

confidence: 99%

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The human dimensions of energy use in buildings: A review

D’Oca

Hong

Langevin

2018

Renewable and Sustainable Energy Reviews

304

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The "human dimensions" of energy use in buildings refer to the energy-related behaviors of key stakeholders that affect energy use over the building life cycle. Stakeholders include building designers, operators, managers, engineers, occupants, industry, vendors, and policymakers, who directly or indirectly influence the acts of designing, constructing, living, operating, managing, and regulating the built environments, from individual building up to the urban scale. Among factors driving high-performance buildings, human dimensions play a role that is as significant as that of technological advances. However, this factor is not well understood, and, as a result, human dimensions are often ignored or simplified by stakeholders. This paper presents a review of the literature on human dimensions of building energy use to assess the state-of-the-art in this topic area. The paper highlights research needs for fully integrating human dimensions into the building design and operation processes with the goal of reducing energy use in buildings while enhancing occupant comfort and productivity. This research focuses on identifying key needs for each stakeholder involved in a building's life cycle and takes an interdisciplinary focus that spans the fields of architecture and engineering design, sociology, data science, energy policy, codes, and standards to provide targeted insights.Greater understanding of the human dimensions of energy use has several potential benefits including reductions in operating cost for building owners; enhanced comfort conditions and productivity for building occupants; more effective building energy management and automation systems for building operators and energy managers; and the integration of more accurate control logic into the next generation of human-in-the-loop technologies. The review concludes by summarizing recommendations for policy makers and industry stakeholders for developing codes, standards, and technologies that can leverage the human dimensions of energy use to reliably predict and achieve energy use reductions in the residential and commercial buildings sectors.

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Section: The Human Dimensions Of Building Design: Architects and Engimentioning

confidence: 99%

Section: Supporting Research Advancementsmentioning

confidence: 99%

The human dimensions of energy use in buildings: A review

D’Oca

Hong

Langevin

2018

Renewable and Sustainable Energy Reviews

304

View full text Add to dashboard Cite

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“…Effects of transition time and pre-heating on energy saving (Candanedo et al 2015;Date et al 2015;Gunay et al 2016;Kleiminger et al 2014) Influence of modulation set point strategies on energy saving (Fournier and Leduc 2014) Effect of schedules on energy saving (Fadzli Haniff et al 2013;Lee et al 2013) Adoption of real occupancy schedules for estimating energy consumptions (Gupta et al 2009;Lee et al 2013;Lu et al 2010) Adoption of pre-defined occupancy schedule for estimating energy consumptions (Cetin et al 2016;Fournier and Leduc 2014;Ghahramani et al 2016;Gunay et al 2016;Moon and Han 2011;Pritoni et al 2016;Ruivo et al 2013) Adoption of control strategies for reducing peak demand (Candanedo et al 2015;Cetin et al 2016;Date et al 2015;Fadzli Haniff et al 2013;Fournier and Leduc 2014) Control of comfort conditions coupled with energy saving (Cetin et al 2016;Kleiminger et al 2014)…”

Section: Hvac Control Modesmentioning

confidence: 99%

ICT intelligent support solutions toward the reduction of heating demand in cold and mild European climate conditions

et al. 2018

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Adopting intelligent solutions in residential buildings for reducing the HVAC energy demand, especially during the operational stages, is becoming more popular. Information and Communication Technology (ICT) devices are often the backbone of such intelligent solutions, since they can enable an easy and intuitive bidirectional communication between energy systems and users and, at the same time, are able to suggest energy saving procedures. These energy saving procedures are mainly suggested when energy hungry behaviors are registered. Particularly, authors of this paper have assumed setting indoor set point temperatures, adjusting ventilation airflow rates and opening windows as energy hungry behaviors to tackle by means of ICT-driven intelligent solutions. Two different localities, namely Helsinki and Milan, have been considered as representative of cold and mild European climate conditions. Results report that adopting ICT-driven intelligent solutions for setting heating setback and indoor set point temperatures and for controlling the mechanical ventilation according to actual people's presence and CO 2 levels ensures consistent reductions of energy demand, especially in Helsinki, where mechanical ventilation is adopted. Moreover, if mechanical ventilation does not work properly or is missing, benefits in reducing energy demand can be even achieved by adopting ICT-driven intelligent solutions for advising building users when windows should be opened or closed according to sensed CO 2 levels. This is relevant especially in Milan. The adoption of intelligent HVAC-window controls, which enable to turn off the HVAC when windows are opened, does not ensure a significant effect in Helsinki. Instead, this solution is promising in Milan, especially when heating systems with low thermal masses are installed.

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“…The survey of requirements for the systems of heat generation makes it possible to formulate the urgency of solving the problems in the energy sector only [3]. Describing optimum control of heat supply to the cities does not reveal the method for the solution to the problem, but rather describes the tasks, necessary for the generation of thermal energy [4]. The information we examined in papers [5,6] only in theory, and incompletely, describe approaches for the selection of efficient heat supply.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%