Occupant centered lighting control for comfort and energy efficient building operation

Nagy, Zoltán; Yong, Fah Yik; Frei, Mario; Schlueter, Arno

doi:10.1016/j.enbuild.2015.02.053

Cited by 150 publications

(88 citation statements)

References 17 publications

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“…Through this study, the relationship between the indoor thermal environment and the PCM's thickness, placement, and orientation was analyzed [61] Second, the past studies related to the trombe wall, which functions as a heat storage system by applying a solar heating collector made of double glazing on the wall, are as follows [62][63][64][65][66] The results showed that the trombe wall increased the cooling demand in summer, but it is very suitable for the Belgrade climate because of its efficient heating energy-saving in winter [66]. (3) Lighting design: From the perspective of nZEB implementation, this study analyzed the previous studies focused on the lighting emitting diode (LED), light shelves, and lighting control system as methods for reducing the lighting load (refer to Table 6) [67][68][69][70][71][72][73][74]. Principi and Fioretti (2014) conducted a comparative analysis of the compact fluorescent and LED in terms of their environmental performance, based on the experimental test results.…”

Section: Part A-1: Passive Sustainable Designmentioning

confidence: 99%

Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle

Hong

Kim

et al. 2017

Sustainability

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Abstract:To cope with 'Post-2020', each country set its national greenhouse gas (GHG) emissions reduction target (e.g., South Korea: 37%) below its business-as-usual level by 2030. Toward this end, it is necessary to implement the net-zero energy building (nZEB) in the building sector, which accounts for more than 25% of the national GHG emissions and has a great potential to reduce GHG emissions. In this context, this study conducted a state-of-the-art review of nZEB implementation strategies in terms of passive strategies (i.e., passive sustainable design and energy-saving technique) and active strategies (i.e., renewable energy (RE) and back-up system for RE). Additionally, this study proposed the following advanced strategies for nZEB implementation according to a building's life cycle: (i) integration and optimization of the passive and active strategies in the early phase of a building's life cycle; (ii) real-time monitoring of the energy performance during the usage phase of a building's life cycle. It is expected that this study can help researchers, practitioners, and policymakers understand the overall implementation strategies for realizing nZEB.

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Section: Part A-1: Passive Sustainable Designmentioning

confidence: 99%

Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle

Hong

Kim

et al. 2017

Sustainability

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“…Significantly, Moore, Carter and Slater (2002), Newsham et al (2008) and Nagy et al (2015) all found that where users can control dimming, this form of manual control reduces energy consumption because users often choose illuminance levels lower than those recommended by lighting standards.…”

Section: Manual Control Studiesmentioning

confidence: 99%

“…The studies reviewed later for this paper include data from monitoring of real installations in various buildings as noted in Tables 4-6, and results from laboratory test beds or mock ups with just one or two spaces (Boyce et al, 2006;Jennings, Rubinstein, DiBartolomeo & Blanc, 2000;Lee & Selkowitz, 2006;Nagy, Yong, Frei, & Schlueter, 2015;Newsham, Aries, Mancini & Faye, 2008;Onaygil & Güler, 2003). Additionally, some studies use simulation models to predict the effects of particular factors on the lighting use, such as glazing, room surface reflectance and location (Acosta, Munoz, Campano, & Navarro, 2015;Krarti, Erickson, & Hillman, 2005), control settings (Garg & Bansal 2000;Reinhart, 2004;Roisin, Bodart, Deneyer, & D'Herdt, 2008) and the use of light pipes (Vasilakopoulou, Synnefa, Kolokotsa, Karlessi & Santamouris, 2016).…”

Section: Lighting Energy-use Studiesmentioning

confidence: 99%

Energy saving claims for lighting controls in commercial buildings

Lowry

2016

Energy and Buildings

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Lighting systems consume a significant proportion of the energy used in commercial buildings, and the control of lighting use is an important determinant of the energy performance of buildings. A review and meta-analysis of lighting energy studies in commercial premises is undertaken to investigate difficulties with reported energy-saving claims for popular lighting control methods. Earlier studies have indicated that in some installations automated controls may save very little energy if they are replacing manual control. However, even where manual control would be a reasonable expectation, such as in private offices, it has been common practice to report saving in energy compared to the lights being used throughout the working day, which leads to overstatement of the energysaving potential. However, generally, user behaviour cannot be reliably predicted, which makes it difficult to quantify properly the benefits of adding automatic controls. It is argued that savings should instead be quantified with reference to published norms for lighting use in commercial buildings.

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“…In the context of smart lighting control, Nagy et al [6] proposed an occupant centric lighting control strategy that utilizes occupant specific set-points with fixed minimum and maximum illuminance threshold set to the satisfaction of each occupant. The results indicated that within a six weeks duration in an environment with 10 offices total of 37% energy savings is achieved using the proposed strategy.…”

Section: Related Workmentioning

confidence: 99%

Application of distributed lighting control architecture in dementia-friendly smart homes

Zaeim¹,

Nefti-Meziani²,

Atyabi³

2015

ijarai

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Abstract-Dementia is a growing problem in societies with aging populations, not only for patients, but also for family members and for the society in terms of the associated costs of providing health care. Helping patients to maintain a degree of independence in their home environment while ensuring their safeties is considered as a positive step forward for addressing individual needs of dementia patients. A common symptom for dementia patients including those with Alzheimer's Disease and Related Dementia (ADRD) is sleep disturbance, patients being awake at night and asleep during the day. One of the problems with night time sleep disturbance in dementia patients is the possible accidental falls of patients in the dark environment. An issue associated with un-hourly sleeping behavior in these patients is the lighting condition of their surroundings. Clinical studies indicate that appropriate level of lighting can help to restore the rest-activity cycles of ADRD patients. This study tackles this problem by generating machine learning solutions for controlling the lighting conditions of multiple rooms in the house in different hours based on patterns of behaviors generated for the patient. Several neural network oriented classification methods are investigated and their feasibilities are assessed with a collection of synthetic data capturing two conditions of balanced and unbalanced inter-class samples. The classifiers are utilized within two centric and distributed lighting control architectures. The results indicate the feasibility of the distributed architecture in achieving a high level of classification performance resulting in adequate control over lighting conditions of the house in various time periods.

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Occupant centered lighting control for comfort and energy efficient building operation

Cited by 150 publications

References 17 publications

Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle

Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle

Energy saving claims for lighting controls in commercial buildings

Application of distributed lighting control architecture in dementia-friendly smart homes

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