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Energy consumption of high-rise double skin façade buildings, a machine learning analysis

Journal of Building Engineering 2024年 89卷

作者： Rezaie, Maedeh Kariminia, Shahab Band, Shahab S. Ameri, Rasoul Farokhi, Maryam Pai, Hao-Ting Gocer, Ozgur Rismanchi, Behzad Shooshtarian, Salman Department of Architecture Advancement in Architecture and Urban Planning Research Center Najafabad Branch Islamic Azad University Najafabad Iran Future Technology Research Center National Yunlin University of Science and Technology Douliu Taiwan Department of Information Management International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Information Management National Yunlin University of Science and Technology Taiwan Bachelor Program of Big Data Applications in Business National Pingtung University Pingtung Taiwan School of Architecture Design and Planning The University of Sydney SydneyNSW Australia Renewable Energy and Energy Efficiency Group Department of Infrastructure Engineering Faculty of Engineering and Information Technology The University of Melbourne Australia School of Property Construction and Project Management RMIT University Melbourne Australia

Most energy exchanges take place through the building skin. The skin characteristics play a decisive role in the extent of these exchanges, but they are somewhat more varied in the double skin façade (DSF). Among these characteristics, cavity segmentation has a noticeable effect on the implementation of the DSF in different directions during the hot and cold seasons. The aim of this study was to investigate the role of DSF segmentation in energy consumption and natural ventilation of high-rise buildings in hot and dry climates. This study used DesignBuilder software to study sixty-four segmentation component scenarios in an eight-story residential building in Isfahan, Iran. Moreover, a proposed hybrid model utilizing the hybridization of the Hunger Game Search and Gradient Boosting (HGS-GB) algorithm was employed to estimate energy consumption in various scenarios involving lighting, heating, cooling, and total scenarios. The available outcomes revealed that the HGS-GB model had a better performance in comparison with other individual models, such as Gradient Boosting (GB), Random Forest (RF), and K-nearest neighbors (KNN). The R2 values for lighting, heating, cooling, and total energy estimation were 0.9993, 0.9958, 0.9991, and 0.9922, respectively. The findings of this study suggest the significance of DSF segmentation in energy consumption and natural ventilation in high-rise buildings in hot and dry climates. © 2024 Elsevier Ltd

关键词： Forestry

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Corrigendum to "High calcium fly ash geopolymer stabilized lateritic soil and granulated blast furnace slag blends as a pavement base material" [J. Hazard. Mater. 341 (2018) 257-267]

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Journal of hazardous materials 2021年 412卷 125205页

作者： Itthikorn Phummiphan Suksun Horpibulsuk Runglawan Rachan Arul Arulrajah Shui-Long Shen Prinya Chindaprasirt Graduate Program in Construction and Infrastructure Management Suranaree University of Technology Nakhon Ratchasima 30000 Thailand. School of Civil Engineering and Center of Excellence in Innovation for Sustainable Infrastructure Development Suranaree University of Technology Nakhon Ratchasima 30000 Thailand. Department of Civil Engineering Mahanakorn University of Technology Bangkok 10530 Thailand. Department of Civil and Construction Engineering Swinburne University of Technology Melbourne Australia. College of Engineering Shantou University Guangdong 515063 China. Sustainable Infrastructure Research and Development Center Department of Civil Engineering Khon Kaen University Khon Kaen 40002 Thailand.

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Building with the on-site manufacturing process

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Lowland Technology International 2018年第2期20卷 87-94页

作者： Pattanajan, N. Suddeepong, A. Horpibulsuk, S. Graduate Program in Construction and Infrastructure Management Suranaree University of Technology Thailand Center of Excellence in Innovation for Sustainable Infrastructure Development Suranaree University of Technology Thailand School of Civil Engineering and Center of Excellence Sustainable Infrastructure Development Suranaree University of Technology Thailand

In general, the process of building construction makes the inevitable wastes such as nails, formwork, steel and concrete. In order to reduce these wastes, parts of building have therefore been produced by using the manufacturing process. This process can improve construction process with minimum wastes and time of construction. However, the manufacturing process is not completely effective for building construction. There is also an additional cost for the transportation from manufactory to the construction site. For this reason, to set the exact time of the construction process, to avoid material waste and to effectively reduce the construction cost, all the production processes of manufacturing building should be started and ended at construction sites. This research has studied the Lean Manufacturing Process (LMP) and applied to the process of the construction which is called "the building with the on-site manufacturing process, BMP" to reduce instable human resource by machines which provides three advantages as follows: 1) the better quality, 2) minimum constructing cost and 3) minimum constructing period. © 2018 International Association of Lowland Technology. All rights reserved.

关键词： Lean production

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Prioritizing rural roads projects in north-eastern Thailand by analytical hierarchy process (AHP)

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Lowland Technology International 2018年第2期20卷 197-204页

作者： Cheonklang, P. Phummiphan, I. Horpibulsuk, S. Hoy, M. Graduate Program in Construction and Infrastructure Management Suranaree University of Technology Muang District Nakhon Ratchasima30000 Thailand Department of Rural Roads Ministry of Transport Thailand Center of Excellence in Innovation for Sustainable Infrastructure Development School of Civil Engineering Suranaree University of Technology Thailand School of Civil Engineering Suranaree University of Technology Thailand

This paper presents the application of the Analytic Hierarchy Process (AHP) in rural roads prioritization. The paper exhibits the concept and process of the plan for rural road development and application of multiple criteria decision analysis using AHP for prioritizing rural roads on a rational basis. Rural road network was grouped on strategic issues and strategies of Department of Rural Roads. There are three main factors to be used as an indicator to assess the importance of routes of each type of road: Transport and Traffic engineering, Accessibility and Other. The result of criteria weights was determined by Expert Choice software according to the AHP model. The results of weight factor analysis can be divided into 2 groups: The Transportation and Traffic Engineering dominant road (Logistics, Traffic Reduction and Country's Border Road) and the Accessibility dominant road (Tourism and Rural Area Accessibility Road). This study will be able to prioritize rural roads and allocate limited budget for development in the future. The master plan obtained from AHP application shows that this plan is consistent, and links with the country strategic plan under the Department of Rural Roads year 2017-2026, which is a longterm plan (10 years), and the Strategic Plan Framework Development of Rural Roads year 2017 - 2020, which is a medium-term plan (4 years). The main goal of the Rural Roads Development Plan in the area is to develop a rural road network to connect the Development of National infrastructure and the Northeast Development Plan perfectly. © 2018 International Association of Lowland Technology. All rights reserved.

关键词： Analytic hierarchy process

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Green nursing-home model: The Thammapakon Pho Klang nursing home, Thailand

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Lowland Technology International 2018年第1期20卷 65-76页

作者： Kulariyasup, W. Horpibulsuk, J. Horpibulsuk, S. Graduate Program in Construction and Infrastructure Management Suranaree University of Technology Nakhon Ratchasiam30000 Thailand Institute of Medicine Suranaree University of Technology Nakhon Ratchasiam30000 Thailand School of Civil Engineering Institute of Engineering Suranaree University of Technology Nakhon Ratchasiam30000 Thailand

This paper presents the design of the new Thammapakon Pho Klang Nursing Home, Nakhon Ratchasima, as a modern model for Thai nursing homes. The nursing home is based on green-building, energy-saving and human-factors engineering principles and covers an area of 102,000 m2 (2,520 acres). The model includes the site design and the buildings of the nursing home, which conforms with green-building and energy-saving principles. The novel nursing home represents a practical approach to the optimization of building use and building resources in the areas of building utilization, water management, waste management, environmentally friendly materials selection, the effect of buildings on the health of building users and the environment, construction, operations, maintenance, and final demolition. The designed buildings include an office building, a hospital, a dormitory for the elderly, a canteen and a multipurpose building. The elderly’s facility design is based on universal design and human-factors engineering. Google’s SketchUp 8 program was used to design the layout of the buildings, the style and size of the openings around the buildings, the building envelope materials, and the position and types of vegetation around the building according to sun direction. It was determined that the overall thermal transmission values (OTTV) and the roof thermal transmission values (RTTV) of the designed buildings are within the prescribed energy-efficient building standard (OTTV 2 and RTTV 2). © 2018 International Association of Lowland Technology. All rights reserved.

关键词： Office buildings

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