Toward energy efficiency measures for design of the IDB-funded integrated classroom building in Universitas Negeri Malang

Hajji, Apif M.

doi:10.1051/matecconf/201927606023

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…This cognitive ability is essential for tasks like reading maps, routing, and solving spatial problems (Griffin et al, 2020), and it holds particular significance in fields such as architecture, engineering, urban planning, and transportation (Ma, 2022). Awareness of spatial cognition allows architects and engineers to optimize spatial layouts for utilization, workflow, and safety (Hajji, 2019). In industrial settings, understanding spatial relationships enhances productivity, reduces errors, and improves operational performance (Azzali & Sabour, 2018).…”

Section: Spatial Cognition In Industrial Building Designmentioning

confidence: 99%

Assessment of the Circulation Impact of Furniture in Industrial Buildings through Space Syntax

Bagheriyar,

Uzun

2024

Blucher Design Proceedings

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Section: Spatial Cognition In Industrial Building Designmentioning

confidence: 99%

Assessment of the Circulation Impact of Furniture in Industrial Buildings through Space Syntax

Bagheriyar,

Uzun

2024

Blucher Design Proceedings

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“…It is necessary to manage education facilities and infrastructure that can create comfort and can improve the quality of life. Thermal comfort is a condition in which the mind expresses satisfaction in the thermal conditions -temperature, humidity, and airflow-of the environment [2][3][4]. Research on thermal comfort in increasing building user's productivity has been carried out to show that the level of productivity and human health is influenced by climatic conditions inside the building [5].…”

Section: Introductionmentioning

confidence: 99%

The Analysis of the Impact of Building Openings Design Variations on Thermal Comfort and Airflow Velocity by using CFD Simulation

Hajji,

Febriyanto,

Alfianto

2024

E3S Web Conf.

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Thermal comfort is very important to support a building’s user productivity. This study was conducted to investigate thermal comfort and airflow velocity in the engineering laboratory building at the State University of Malang.Preliminary observations have shown that the average room air temperature was around 27 - 31°C, which caused the uncomfortable condition. Thermal comfort enhancement in this study is investigated by applying several variations and treatments to existing openings. By using descriptive quantitative and experimental methods, the analysis uses the Computational Fluid Dynamics (CFD) simulation method with the ANSYS Workbench 19.0 Program. The simulation was applied to seven rooms with various types of openings. Parameters used in the simulation process are: 1) room geometry data consisting of images, room area, and location of ventilation openings, and 2) measurement reference points such as airflow velocity and room temperature. The dimensions of the openings will be observed by varying the treatment in each room, namely by opening all the inlets in the room (S), opening the inlets on the air vents only (J), and opening the inlets on the windows only (V). Primary data in the form of room temperature, airflow velocity, relative humidity, and physical dimensions of buildings are obtained through direct observation. The simulation results show that the maximum airflow velocity of the rooms (0.34 m/s) is found in the largest dimension variation of the inlet area of the opening (13.15 m2). The lowest temperature is found in the rooms with the smallest dimension of inlet (28oC) with the value of room temperature in the range of 27.5oC – 30.2°C. The statistical analysis of one-way ANOVA shows that by using a significance level of 0.05, there is an effect of variations in the design of openings on the level of thermal comfort in each room.

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“…Research on the efforts of quantifying the energy consumption in tall building is part of the campaign for green and energy efficient construction. How the buildings and construction projects answer the responsibility upon energy use and environmental impacts are undertaken by plan and actions through construction's emission mitigation and its energy conservation (Aditya et al, 2017;Chwieduk, 2017;A. Hajji et al, 2019;A.…”

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confidence: 99%

Development of Vertical Shading Parameter Model for Reducing Energy Consumption in Tall Building based on Overall Thermal Transfer Value -A Case Study

Hajji,

Ariestadi,

Hidayat

2023

IJSCET

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In tall building, shading design is a configuration that includes geometry, material, and the system. Currently, the design of the shade found for building’s envelope is not only used to improve the thermal performance, but is also required to provide aesthetic value to the appearance of a building. The use of shading design in the form of vertical shade at certain places will provide differences in the acquisition of sunlight for interior spaces. Therefore, by shading design the appearance will certainly affect the thermal performance of the building envelope. This study aims to develop and propose a model that can be used as parameter measuresof the effect of shading design variations on the thermal performance of the building envelope. This variation will include shading design concept which applies different vertical shading that covers glass material, the shading width, and the shading angle. This research design includes the calculation of the shade coefficient (SC) and overall thermal transfer value (OTTV) of each variant, followed by using multiple linear regression (MLR) analysis with manufacturer’s SC glass, shading width, and shading angle as the predictor variables. The study is conducted by two parts: designing of vertical shading parameters that affect the value of the SC and determining the thermal performance of the building. The MLR analysis is carried out to obtain a linear equation showing the effect of shading design on thermal performance of the building envelope. Based on the regression analysis result, it can be seen that the manufacturer’s SC of glass has the biggest impact on the OTTV value, while the shading angle has the lowest. With 95.2%-98% of the predictors data can explain the value of OTTV, the model can be used as the tool for designing vertical shading for reducing the energy consumption in the building.

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Toward energy efficiency measures for design of the IDB-funded integrated classroom building in Universitas Negeri Malang

Cited by 4 publications

References 15 publications

Assessment of the Circulation Impact of Furniture in Industrial Buildings through Space Syntax

Assessment of the Circulation Impact of Furniture in Industrial Buildings through Space Syntax

The Analysis of the Impact of Building Openings Design Variations on Thermal Comfort and Airflow Velocity by using CFD Simulation

Development of Vertical Shading Parameter Model for Reducing Energy Consumption in Tall Building based on Overall Thermal Transfer Value -A Case Study

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