Controlling energy consumption in residential buildings using air infiltration in humid climates

Khajavi, Faeze; Farrokhzad, Mohammad; Hosseini, Seyyed Erfan

doi:10.1007/s10668-021-01288-1

Cited by 4 publications

(9 citation statements)

References 14 publications

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“…3.3. Coefficient of Drip Uniformity coefficient of Uniformity for the data gathered from the upstream was evaluated to be 97.0%, which compared favourably with Keller & Bliesner's (1990) values of 95%. Also, the coefficient of Uniformity for the data gathered for the mid-stream was evaluated to be 96.0%, which compared favourably to Keller & Bliesner's (1990) value of 95%.…”

Section: Drip System Designmentioning

confidence: 91%

“…Coefficient of Drip Uniformity coefficient of Uniformity for the data gathered from the upstream was evaluated to be 97.0%, which compared favourably with Keller & Bliesner's (1990) values of 95%. Also, the coefficient of Uniformity for the data gathered for the mid-stream was evaluated to be 96.0%, which compared favourably to Keller & Bliesner's (1990) value of 95%. With regards to the downstream, the coefficient of uniformity for the data gathered was calculated to be 76.0%, which is otherwise not favourably to Keller & Bliesner's (1990) value of 95%.…”

Section: Drip System Designmentioning

confidence: 91%

“…Where:̅ is the mean water depth collected in all catch-cans, n is the number of cans and xi is the water depth collected by a catch-can (Christiansen, 1942, as in Keller and Bliesner, 1990). X…”

Section: Mean Application Rate (Mar)mentioning

confidence: 99%

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Analysis of the Performance of Drip Irrigation System for Okra Production Using Wastewater at Zagyuri in Sagnerigu Municipal in the Northern Region of Ghana

Abdul Latif Husein Alhassan,

Nicholas Kyei-Baffour

2023

theijst

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In this study, a field evaluation was performed for the drip irrigation system. The results indicate that the average Christiansen's coefficient of uniformity (CU) for the drip up-stream of the plot system had a coefficient of uniformity (CU) value of 97.0% while the drip mid-stream was next with 96.0% and the least was the drip down-stream of 76.0% of (CU). Hence, the systems performed well. The average soil infiltration rate observed was 160.25 mm/ h. The crop water productivity of Okra (Abelmoschus esculentus) grown under drip irrigation was determined as 22.31 kg/m3 for the mid-stream, followed by 21.98 kg/m3 for the up-stream and down-stream was the least of 16.48 kg/m3.

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Section: Drip System Designmentioning

confidence: 91%

Section: Drip System Designmentioning

confidence: 91%

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Analysis of the Performance of Drip Irrigation System for Okra Production Using Wastewater at Zagyuri in Sagnerigu Municipal in the Northern Region of Ghana

Abdul Latif Husein Alhassan,

Nicholas Kyei-Baffour

2023

theijst

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“…Furthermore, shading protections and cooling measures, such as mechanical or natural ventilation [ 16 ], are key to environmentally mitigate indoor overheating [ 17 ]. In fact, window shading systems have proven to noticeably reduce heat deaths during warm periods [ 18 ] and the use of inactive design methods, such as air infiltration, becomes a cheapest solution to achieve comfort in low-energy buildings, reducing energy consumption, especially in warm periods [ 19 ]. In this line, Pérez-Andreu et al [ 20 ] assess the impact of several strategies (such as infiltrations, shading devices or natural ventilation) on heating and cooling energy demand under future climate change scenarios, through the analysis of a single-family building located in Valencia.…”

Section: Introductionmentioning

confidence: 99%

Climate change mitigation: thermal comfort improvement in Mediterranean social dwellings through dynamic test cells modelling

Calama-González

León-Rodríguez

Suárez

2022

Int J Energy Environ Eng

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Global warming will lead to adverse consequences for human health and well-being. This research ought to determine whether passive low-cost strategies freely controlled by users (ventilation strategies, solar shadings or window operation) could be applied in low-income dwellings to meet acceptable thermal comfort to retrofit the Mediterranean social housing stock of southern Spain towards climate change. On-site measurements registered in some test cells (controlled environment with no users’ influence) were used to calibrate dynamic energy simulation models. The impact of several future periods, climate zones of southern Spain and orientations on thermal comfort was assessed. The results show that climate change triggers a more significant increase in outdoor temperatures in summer than in winter. Should ventilation be kept to minimum and blinds opened during daytime in winter, higher comfort would be achieved, with great differences between orientations and south reporting the best results. The higher the outdoor temperatures due to climate change, the higher the percentage of comfort hours (i.e. 23–68% in the present and 50–75% in 2080). In summer, natural night ventilation and blinds closed during daytime lead to the best comfort result, with negligible temperature differences between orientations. Future climate change scenarios worsen the percentage of comfort hours (i.e. 96–100% in the present, while up to 17% in 2080). Mechanical ventilation and blind aperture schedules were found to have the highest influence on overheating discomfort. Likewise, mechanical and natural ventilation schedules had the highest impact on undercooling discomfort.

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“…Although the areas occupied by doors and windows are relatively small compared with those occupied by an entire building, they consume more energy. In hot summers or cold winters, outdoor air circulates through doors and windows and mixes with indoor air, leading to increased energy consumption of the corresponding equipment used in such seasons (Bitaab et al 2020;Ji et al 2020; Khajavi et al 2021). Zoller (1913) was the first to propose the concept of vacuum glass, following the principle of Dewar flasks; however, for many years, owing to difficulties such as vacuum degree, boundary sealing, atmospheric pressure, and temperature differences between the two pieces of glass, vacuum glass remained exclusively at the conceptual level.…”

Section: Introductionmentioning

confidence: 99%

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

GASTRO¹

2022

Preprint

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The heat transfer characteristics of vacuum degree and the influence of the vacuum degree of vacuum glass on unit operations for predicting the vacuum degree were investigated. In this study, we designed and developed a set of intelligent detection systems using intelligent algorithms that comprised a model for predicting the vacuum degree of vacuum glass. Using wireless temperature detection in an intelligent detection system was convenient for measuring temperature data. First, the model utilized a backpropagation neural network (BPNN) to predict and infer temperature data. Furthermore, we developed a software package implementing the proposed BPNN-based model in MATLAB and verified that it could predict the vacuum degree of vacuum glass. The proposed system created a precedent for using intelligent algorithms to establish a model to predict the vacuum degree of vacuum glass with additional computer software to improve its convenience for users. Using the core theoretical module of the system, BPNN, and the appropriate intelligent algorithms, we obtained an absolute error within 1.5 Pa using the model and learnt that it was good for quick vacuum prediction.

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Controlling energy consumption in residential buildings using air infiltration in humid climates

Cited by 4 publications

References 14 publications

Analysis of the Performance of Drip Irrigation System for Okra Production Using Wastewater at Zagyuri in Sagnerigu Municipal in the Northern Region of Ghana

Analysis of the Performance of Drip Irrigation System for Okra Production Using Wastewater at Zagyuri in Sagnerigu Municipal in the Northern Region of Ghana

Climate change mitigation: thermal comfort improvement in Mediterranean social dwellings through dynamic test cells modelling

Computational System for Prediction of the Vacuum Degree of Vacuum Glass

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