A method of assessing the energy cost saving from using an effective door closer

Chen, Chun; Zhang, Xinye; Groll, Eckhard A.; McKibben, Aaron; Long, Nicholas; Dexter, Matthew; Chen, Qingyan

doi:10.1016/j.enbuild.2016.03.006

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Since the time step size for the differentiation algorithm was set at 10 min, this study counted as effective window behavior only those opening/closing actions with a time interval longer than 10 min from the previous and subsequent actions. We considered a window‐opening angle larger than 15° as “open window” status, because an opening angle smaller than 15° would introduce less than 30% of the airflow that occurs when the window is fully open 14,31 …”

Section: Methodsmentioning

confidence: 99%

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Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs

Xia

Dai

et al. 2021

Indoor Air

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To evaluate the separate impacts on human health and establish effective control strategies, it is crucial to estimate the contribution of outdoor infiltration and indoor emission to indoor PM2.5 in buildings. This study used an algorithm to automatically estimate the long‐term time‐resolved indoor PM2.5 of outdoor and indoor origin in real apartments with natural ventilation. The inputs for the algorithm were only the time‐resolved indoor/outdoor PM2.5 concentrations and occupants’ window actions, which were easily obtained from the low‐cost sensors. This study first applied the algorithm in an apartment in Tianjin, China. The indoor/outdoor contribution to the gross indoor exposure and time‐resolved infiltration factor were automatically estimated using the algorithm. The influence of outdoor PM2.5 data source and algorithm parameters on the estimated results was analyzed. The algorithm was then applied in four other apartments located in Chongqing, Shenyang, Xi'an, and Urumqi to further demonstrate its feasibility. The results provided indirect evidence, such as the plausible explanations for seasonal and spatial variation, to partially support the success of the algorithm used in real apartments. Through the analysis, this study also identified several further development directions to facilitate the practical applications of the algorithm, such as robust long‐term outdoor PM2.5 monitoring using low‐cost light‐scattering sensors.

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Section: Methodsmentioning

confidence: 99%

“…We considered a window-opening angle larger than 15° as "open window" status, because an opening angle smaller than 15° would introduce less than 30% of the airflow that occurs when the window is fully open. 14,31 (1)…”

Section: Effective Window Behaviormentioning

confidence: 99%

Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs

Xia

Dai

et al. 2021

Indoor Air

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Influence of nanofiber window screens on indoor PM2.5 of outdoor origin and ventilation rate: An experimental and modeling study

et al. 2020

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Simulation of Door Movement With a Closing Mechanism

Reutov¹

2021

Bulletin of Bryansk State Technical University

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The work objective is to determine the parameters of the closing mechanism that provide the specified characteristics of the door movement. Research method: computer simulation of the movement of a door with a lock mechanism as a multi-mass dynamic system, taking into account the mechanical characteristics and contact interaction of the lock mechanism. Research results and novelty. Computer dynamic models of a door with a door closer and a door with a spring have been developed. The moments of the door opening force, the closing time of the door, the angular velocity of the door at the time of impact with the frame are considered as the criteria for the quality of the door closing mechanism. Formulas are obtained that determine the permissible values of stiffness and deformation of the door closer spring according to the specified moments of the door opening force. The movement of doors with a door closer and with a spring is compared. The parameters of the closing mechanism providing the specified characteristics of the door movement of the considered example are determined. It is shown that with the same values of the opening force moments, the speed of impact with the frame in the case of the door closer is less than the door with a spring. Conclusions: The developed computer dynamic models of a door with a door closer and a door with a spring make it possible to determine the characteristics of the door movement taking into account the inertial and mechanical characteristics of the door closer and spring mechanisms. The permissible values of stiffness and deformation of the door closer spring can be determined by the specified moments of the door opening force in two positions. It is established that the forces of air resistance and friction in the hinges of the door cannot create the moment of resistance necessary for smooth closing of the door without a strong impact on the frame with a limited closing time. The quality criteria that minimize the closing time and the speed of impact of the door with the frame are contradictory. The choice of optimal parameters of the door closing mechanism is possible if one of the criteria is replaced by a restriction. The developed formulas and computer models are recommended for use in the design of devices that restrict the movement of doors.

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A method of assessing the energy cost saving from using an effective door closer

Cited by 3 publications

References 15 publications

Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs

Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs

Influence of nanofiber window screens on indoor PM2.5 of outdoor origin and ventilation rate: An experimental and modeling study

Simulation of Door Movement With a Closing Mechanism

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A method of assessing the energy cost saving from using an effective door closer

Cited by 3 publications

References 15 publications

Estimating long‐term time‐resolved indoor PM 2.5 of outdoor and indoor origin using easily obtainable inputs

Estimating long‐term time‐resolved indoor PM 2.5 of outdoor and indoor origin using easily obtainable inputs

Influence of nanofiber window screens on indoor PM2.5 of outdoor origin and ventilation rate: An experimental and modeling study

Simulation of Door Movement With a Closing Mechanism

Contact Info

Product

Resources

About

Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs

Estimating long‐term time‐resolved indoor PM _2.5 of outdoor and indoor origin using easily obtainable inputs