Natural ventilation in London: Towards energy-efficient and healthy buildings

Jooho, Song; Huang, Xinjie; Shi, Dongdong; Lin, William E.; Fan, Shiwei; Linden, P. F.

doi:10.1016/j.buildenv.2021.107722

Cited by 35 publications

(10 citation statements)

References 24 publications

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“… 50 , 51 However, outdoor acoustic and air pollution can be limiting factors for the adoption of NV. According to Song et al, 52 considering noise pollution, the average percentage of hours in which NV might be feasible in Greater London would be 71% and the average cooling energy saving potential via NV is 16.64 kWh/m. 2 In their simulation-based study, the hours considered as suitable for NV were defined based on noise level thresholds suggested by the World Health Organization.…”

Section: Discussionmentioning

confidence: 99%

Associations between indoor soundscapes, building services and window opening behaviour during the COVID-19 lockdown

Torresin

Albatici

Aletta

et al. 2021

Building Services Engineering Research and Technology

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Results of an online survey conducted during the COVID-19 lockdown among 848 home workers living in London (United Kingdom) and in Italy are reported with a focus on (1) the impacts of building services on the perception of the acoustic environment while working and relaxing at home and (2) the factors associated with window opening behaviour. The analyses showed no significant difference in soundscape appropriateness for relaxation depending on the heating, ventilation and cooling system typologies, and in soundscape appropriateness for working from home (WFH) based on the ventilation strategy. Higher soundscape appropriateness for WFH was associated with houses equipped only with radiant floors for heating in Italy and with air-cooling systems in London. In London, air systems resulted in higher perceived dominance of noise from building services compared to other systems. Overall, rooms with less dominant sounds from building services were evaluated as more appropriate for working and relaxing. The dominance of sky or buildings from the window view, outdoor noisiness, noise sensitivity, age and gender were not significantly associated with participants’ window opening behaviour while WFH. Differently, participants viewing more vegetation from windows in Italy were more likely (odds ratio: 1.279) to keep the window open while WFH.

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Section: Discussionmentioning

confidence: 99%

Associations between indoor soundscapes, building services and window opening behaviour during the COVID-19 lockdown

Torresin

Albatici

Aletta

et al. 2021

Building Services Engineering Research and Technology

View full text Add to dashboard Cite

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“…Lastly, the influence of ambient noise and air quality on window operations was not considered in the present study. These factors can be critical constraints for opening windows even when the outdoor temperature is favourable [68,69]. In addition, although different clothing insulation levels were applied for different seasons in the simulation, the variability of clothing behaviours between different occupants was not considered.…”

Section: Discussionmentioning

confidence: 99%

“…Regions with desert climate and cold climate had only 3000 h, whereas the climate in southeast Asian regions had no energy-saving potential by using natural ventilation. Furthermore, the local air quality [68] and ambient noise [69] can also restrict the utilization of natural ventilation. Tong et al [68] have discovered the impact of ambient air pollution on reducing the energy-saving potential by using natural ventilation.…”

Section: Closing Remarksmentioning

confidence: 99%

“…However, the amount of energy savings can drop by 43 GWh considering local air pollution in these 35 cities. A study by Song et al [69] revealed that ambient noise could cause reluctance of opening windows and less natural ventilation utilization. The study estimated that the loss of energy savings resulting from loss of natural ventilation potential due to noise pollution in London, UK, was found to be 8.1 kWh/m 2 .…”

Section: Closing Remarksmentioning

confidence: 99%

“…The authors acknowledge that a few factors that can impact window operations in mixedmode buildings remain undiscovered in this chapter. Firstly, the ambient noise and poor air quality can cause reluctance of opening windows and less natural ventilation utilization [68,69] even though the outdoor temperature may be suitable for opening the windows. Given that the data obtained from case study buildings do not include information of ambient noise and air quality, future work is needed to take these two factors into account.…”

Section: Modelling Window and Thermostat Use Behaviour To Inform The Control Sequencesmentioning

confidence: 99%

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Development of an Occupant-centric Control Algorithm for Mixed-Mode Ventilation Buildings to Regulate Window Operations

Liu¹

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Mixed-mode ventilation is a design feature to improve building energy efficiency and indoor air quality by combining natural ventilation and mechanical ventilation. Mixed-mode ventilation commercial buildings are often equipped with variable air volume (VAV) terminal device and air handling unit (AHU) as the mechanical ventilation system and operable windows to deliver natural ventilation. However, in practice, mixed-mode ventilation buildings do not always achieve better performance than mechanically ventilated buildings, largely due to inappropriate window operations. Therefore, the sequences of operation for terminal devices serving zones with operable windows should be designed in recognition of these risks, which in turn should be informed by research investigating occupants' window and thermostat use behaviour. This research examines window and thermostat use data collected from two mixed-mode ventilation buildings in Ottawa, Canada.Discrete-time Markov logistic regression models and decision tree models were established to predict the likelihood of thermostat keypress and window opening/closing instances and identify the indoor conditions that trigger these actions. Based on this analysis, a set of control algorithms are developed to improve terminal device sequencing in mixed-mode ventilation buildings in cold climates such that the comfort and energy savings potential of operable windows can be fully realized. The control algorithm applies a thermostat setpoint setback to encourage occupants to open windows when conditions are advantageous for saving energy, and discourage occupants from opening windows when energy penalties may be caused. The control algorithms are tested by using building performance simulation (BPS), and 3-16% of energy reductions could be achieved when control sequences encouraged occupants to undertake energy-efficient window use behaviours compared to an ii identical buildings with unregulated window operations. It is also found that the unregulated window operations could increase the heating load up to 21% and cooling load by 22% relative to identical buildings with fixed windows in a cold climate. These findings suggest that control algorithms should be designed properly in mixed-mode ventilation buildings to realize its full energy-saving potential and avoid adverse energy impacts caused by unregulated window operations.iii PrefaceThis integrated thesis consists of two journal papers, either published or under review.Should readers wish to refer to materials from this thesis, the current thesis is required to be cited. The articles included in this thesis are as follow:• Article 1 : W. Liu, H. B. Gunay, M. M. Ouf. Modelling window and thermostat use behaviour to inform sequences of operation in mixed-mode ventilation buildings.

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A Case Study of Analyzing Energy Use and Equivalent Carbon Footprint in an Educational Building in Cairo, Egypt

Afifi,

Fathy,

Hamza

2024

Springer Proceedings in Earth and Environmental Sciences

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Natural ventilation in London: Towards energy-efficient and healthy buildings

Cited by 35 publications

References 24 publications

Associations between indoor soundscapes, building services and window opening behaviour during the COVID-19 lockdown

Associations between indoor soundscapes, building services and window opening behaviour during the COVID-19 lockdown

Development of an Occupant-centric Control Algorithm for Mixed-Mode Ventilation Buildings to Regulate Window Operations

A Case Study of Analyzing Energy Use and Equivalent Carbon Footprint in an Educational Building in Cairo, Egypt

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