1,720,988 research outputs found
Science mapping the knowledge domain of energy performance research in the AEC industry: A scientometric analysis
No full textThis study aims to reveal the current state of energy performance research in the AEC industry and literature. The research objective is to identify hot topics (i.e., knowledge domain) and hot keywords (i.e., knowledge base), productive countries and institutions, research gaps, and emerging areas in this domain (i.e., knowledge evolution). For this purpose, systematic bibliometric and scientometric analyses were performed by referring to 5489 bibliometric records published between 1991 and 2023. CiteSpace, VOSviewer, and Gephi were used for performing scientometric analysis. The key points include (1) promoting research collaborations between countries and institutions, (2) uncovering gaps and requirements of optimizing energy performance through pre-construction, construction as well as operation and maintenance phases, (3) identifying the target market for stakeholders, investors, and policymakers, and (4) guiding to determine the common grounds for international regulations and policies. Further, this study presents a knowledge map summarizing the prominent research results. The contribution is to provide a holistic comprehension of the recent status, hot keywords and topics, productive countries and institutions, research gaps, and emerging areas of energy performance. The gaps revealed in this study show possible future research directions, necessities, and the fields that should be investigated. Accordingly, this research would be a valuable guideline for professionals focusing on energy performance
BIM tabanlı LEED endüstriyel bina ve LEED olmayan endüstriyel bina için karşılaştırmalı çalışma
No full textThis study intends to do architectural and structural designs of a sustainable industrial building using BIM and LEED as well as compare the LEED industrial building and non-LEED industrial building. In this scope, the additional costs related to water and energy efficient systems were analyzed to calculate the respective break-even points. Literature review and case study were performed to achieve the research objective. In the case study, a reinforced concrete industrial building was designed via Autodesk Revit 2021 considering the selected sustainability criteria under the LEED v4.1 BD+C for New Construction rating system. The LEED industrial building can fulfill 31 credits and 8 prerequisites which allow to obtain 73 points and LEED Gold certificate. The initial cost of LEED industrial building is 154.222.607 TL while the initial cost of non-LEED industrial building is 139.080.060 TL. Break-even point for the cost of energy-efficient systems utilized in the LEED industrial building is 14 years. Breakeven point for the cost of water-efficient systems utilized in the LEED industrial building is 8 years. Results contribute to the architecture, engineering and construction industry and literature by providing constructive information about the design requirements and energy, water, and cost performance of the LEED industrial buildings.Bu çalışma BIM ve LEED kullanarak sürdürülebilir bir endüstriyel binanın mimari ve statik tasarımlarını yapmayı ve LEED endüstriyel bina ve LEED olmayan endüstriyel binayı karşılaştırmayı amaçlamaktadır. Bu kapsamda, su ve enerji verimli sistemlerle ilgili ek maliyetler analiz edilerek ilgili başabaş noktaları hesaplanmıştır. Araştırma amacını gerçekleştirmek için literatür taraması ve vaka çalışması yapılmıştır. Vaka analizinde, betonarme bir endüstriyel bina Autodesk Revit 2021 ile Yeni İnşaat için LEED v4.1 BD+C değerlendirme sistemi altındaki seçilen sürdürülebilirlik kriterleri göz önünde bulundurularak tasarlanmıştır. LEED endüstriyel binası, 73 puan ve LEED Gold sertifikası almayı sağlayan 31 kredi ve 8 ön koşulu yerine getirebilmektedir. LEED endüstriyel binanın başlangıç maliyeti 154.222.607 TL iken, LEED olmayan endüstriyel binanın başlangıç maliyeti 139.080.060 TL'dir. LEED endüstriyel binasında kullanılan enerji verimli sistemlerin maliyeti için başabaş noktası 14 yıldır. LEED endüstriyel binasında kullanılan su verimli sistemlerin maliyeti için başabaş noktası 8 yıldır. Sonuçlar, LEED endüstriyel binalarının tasarım gereksinimleri ve enerji, su ve maliyet performansı hakkında yapıcı bilgiler sağlayarak mimarlık, mühendislik ve inşaat endüstrisine ve literatürüne katkıda bulunur
201in.TR Yetkinlik Tablosu
No full textThe Competency Table organises Competency Items and provide a structure for:
Developing assessment modules for evaluating and comparing the abilities of individuals, groups and whole organisations.
Developing competency-based certification regimes and accreditation programmes.
Developing learning units and competency-based educational programmes.
Identifying competency profiles of varied roles across markets and disciplines
Utilizing advanced storage technologies for providing local information to rescue teams following an earthquake
Full text linkTez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2009Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2009Bu tez çalışmasında, deprem sonrası arama-kurtarma çalışmalarının etkin bir şekilde gerçekleştirilmesi için gerekli olan bilgilerin sağlanmasında kullanılmak üzere yerel bir veri depolama yaklaşımı geliştirilmiştir. Bu yaklaşım kapsamında depremden sonraki arama-kurtarma çalışmalarının daha etkin yürütülebilmesi için ne tür bilgilere ihtiyaç duyulduğu belirlenmiştir. Ayrıca veri depolama teknolojilerinin bu çalışmadaki kullanım amacı ve kullanım koşulları göz önünde bulundurularak teknolojilerin gereksinimleri tespit edilmiştir. Bu gereksinimler doğrultusunda günümüzdeki ileri veri depolama teknolojilerinden Kablosuz Duyarga Ağları (WSN) ve Radyo Frekansı ile Tanımlama (RFID) teknolojileri seçilmiştir. Geliştirilen bu yaklaşım çerçevesinde, yerleşim bölgelerindeki binalarda yerel veri depolama üniteleri bulunacak ve arama-kurtarma ekipleri bu sistemi kullanarak ihtiyaç duydukları yerel bilgilere kolaylıkla ulaşabileceklerdir. Bu çalışmanın sonuçları kullanılarak arama-kurtarma çalışmalarında kullanılacak bir yerel veri depolama sistemi geliştirilebilir ve bu sistemin kullanılmasıyla arama-kurtarma çalışmaları daha etkin bir şekilde gerçekleştirilerek kayıp ve ölü sayısı en aza indirilebilir.In this thesis, an approach is developed to provide local information that is needed for carrying out search and rescue operations effectively. According to this approach, the information items that are needed by a team during search and rescue operations are determined. In addition, both the aim of use and the condition of use of advanced storage technologies are considered to determine the requirements of advanced storage technologies. Based on those requirements, Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN) technologies are selected. In this proposed approach, the information items that are needed by a team during search and rescue operations are stored locally on an advanced data storage unit before an earthquake occurs and these information items are made readily available for use on demand. By utilizing the results of this study, a local advanced storage system that is used during search and rescue operations can be developed. Also by the use of this system, search and rescue operations will be carried out more effectively; thus, dead numbers and also the lost can be decreased.Yüksek LisansM.Sc
Mixed method review for integrating building information modeling and life-cycle assessments
No full textPrevious studies have suggested that building information modeling (BIM) and life-cycle assessments (LCAs) could be integrated to quantify and alleviate the environmental effects of buildings while simplifying and optimizing data acquisition. However, there has been no expert-based research into the true potential of BIM-based LCAs in a wider context with consideration of the advantages and disadvantages. This study aims to identify, classify, and prioritize these advantages and disadvantages using mixed methodological research and subject matter experts (SMEs). This includes a comprehensive literary review, semi-structured interviews with SMEs, and use of the Delphi method. A total of 21 advantages and 7 disadvantages associated with BIM-based LCAs were identified and classified. The advantages were grouped into four categories: decision making, material selection, sustainability performance, and waste reduction. The disadvantages were grouped into two categories: standardization and data processing. The Delphi method was applied via two rounds of questionnaires with ten SMEs to prioritize the advantages and disadvantages. The results of this study will provide practitioners and researchers with constructive information for the integrated use of BIM and LCAs and will create awareness in the architecture, engineering, and construction industry. The identified disadvantages show the requirements for future work and the priority rankings for both the advantages and disadvantages could be used by researchers and key stakeholders
BIM tabanlı LEED binası ile LEED olmayan binanın karşılaştırmalı analizi için vaka çalışması
No full textThe objective of this study is to design a sustainable high-rise residential building using Leadership in Energy and Environmental Design (LEED) and Building Information Modeling (BIM), and perform comparative analysis for the LEED building and non-LEED building. Within this scope, break-even points of these buildings’ water and energy consumptions as well as additional costs related to sustainability were analyzed. The research methodology relies on the literature review and case study. In the case study, the 3D model of a 15-storey residential building was designed via Autodesk Revit 2019 based on the LEED v4.1 Building Design and Construction (BD+C) rating system. The case study building can achieve 31 credits and 9 prerequisites which allow to obtain 61 points and LEED Gold certificate. By applying LEED v4.1 BD+C procedures, water consumption of the building was reduced by 65.96%, and energy consumption of the building was decreased by 59%. The initial cost of this LEED building is 1.074.833,04 TL which is 852.230.64 TL higher than the initial cost of non-LEED building. According to the break-even point calculations, the initial cost of LEED building can be charged after 13 years 8 months and 12 days. Results make a significant contribution to the literature and industry by showing the requirements and design process of a high-rise residential building using LEED and BIM. This study adds original value to the literature and industry by ensuring practitioners and researchers with constructive information about the energy, water, and cost performance of the LEED buildings. Further, results provide an insight to professionals in the architecture, engineering, and construction industry about the value of green buildings.Bu çalışmanın amacı, Enerji ve Çevre Tasarımında Liderlik (LEED) ve Yapı Bilgi Modellemesi (BIM) kullanarak sürdürülebilir yüksek katlı bir konut binası tasarlamak, ve LEED binasi ve LEED olmayan bina için karşılaştırmalı analiz yapmaktır. Bu kapsamda, bu binaların su ve enerji tüketimlerinin başabaş noktaları ile sürdürülebilirlikle ilgili ek maliyetleri analiz edilmiştir. Araştırma yöntemi, literatür taraması ve vaka çalışmasına dayanır. Vaka çalışmasında, 15 katlı bir konut binasının üç boyutlu modeli, LEED v4.1 Bina Tasarım ve İnşaat (BD + C) derecelendirme sistemine dayalı olarak Autodesk Revit 2019 aracılığıyla tasarlandı. Vaka çalışması binası, 61 puan ve LEED Gold sertifikası elde etmeyi sağlayan 31 kredi ve 9 önkoşul sağlayabilir. LEED v4.1 BD+C prosedürleri uygulanarak binanın su tüketimi %65.96, binanın enerji tüketimi ise %59 azaltılmıştır. Bu LEED binasının başlangıç maliyeti 1.074.833,04 TL olup, LEED olmayan binanın başlangıç maliyetinden 852.230.64 TL daha fazladır. Başabaş noktası hesaplamalarına göre 13 yıl 8 ay 12 gün sonra LEED binasının başlangıç maliyeti tahsil edilecektir. Sonuçlar, yüksek katlı bir konut binasının gereksinimlerini ve tasarım sürecini LEED ve BIM kullanarak sunarak literatüre ve sektöre önemli katkı sağlar. Bu çalışma, uygulayıcılara ve araştırmacılara LEED binalarının enerji, su ve maliyet performansı hakkında yapıcı bilgiler sağlayarak literatüre ve sektöre özgün bir değer katmaktadır. Ayrıca, sonuçlar mimarlık, mühendislik ve inşaat sektöründeki profesyonellere yeşil binaların değeri hakkında fikir vermektedir.Publisher versio
A decision making support model to determine appropriate credits for green building certification based on project delivery attributes
Full text linkGreen building (GB) projects require elevated levels of interdependency and interconnectedness of different technical disciplines to respond for the needs of integrated green design systems which definitely cause higher complexities throughout the processes of GB compared to the non-green buildings (NGBs). High levels of complexity in GB processes not only create higher time and cost related waste but also other specific types of waste throughout the GB project delivery process compared to the NGBs. Prior studies identified some of the waste types and related root causes for GB projects; however, a comprehensive identification and classification of waste and related root causes still remains to be a crucial necessity for the GB industry and GB literature.
Waste generation within the GB project delivery process directly relates to the question whether the GB objectives and requirements can be fulfilled by the existing attributes of the project delivery team or not. Particularly, GB certification process embodies detailed requirements and specifications that lead to additional tasks for the project team which altogether elevate complexity levels of the whole project delivery process. In order to achieve GB certification, initially credits need to be selected among a large set of credits categorized under the GB rating system. Then the requirements of these selected credits and the GB rating system must be satisfied by the project and project teams. If selected GB certification credits are not suitable for the project team related GB project delivery attributes, elevated levels of time, money and labor could get wasted while attempting to fulfill the additional requirements of GB design, construction and certification.
Considering GB project attributes is critical for the analysis and optimization of GB project delivery since project attributes affect the outcomes that determine the overall success of GB projects. Hence, there is an obvious necessity for having a decision-making model to tackle with the complexities of GB projects and provide a guideline for determining appropriate GB certification credits in accordance with the project delivery attributes; however, such a model is currently absent in the GB literature.
This Ph.D. study addresses these needs by (1) by examining waste and related root causes in detail for GB project delivery process, (2) analyzing project delivery attributes that play major role in ensuring successful completion of GB projects under a hierarchical framework, and (3) developing a multi-attribute decision making support model from this hierarchical framework to determine resource efficient credits for GB certification. On the road of developing a decision making support model, I initially identified and classified waste types and related root causes, then investigated the cause-effect relation between them by ranking them according to their negative impacts on time and cost in design and construction phases of GB project delivery process determined from a case study that includes three GB projects and performing a two-rounded Delphi Method. Drawing from my findings, I focused on two GB project delivery attributes, i.e. timing of project teams’ involvement and qualifications of project teams, which play a crucial role for ensuring successful completion of GB projects while enduring minimal waste in GB project delivery process. Based on these two attributes, I built a hierarchical framework to assign relative weights to these attributes, and to constitute the basis of my decision making support model. Towards the achievement of my grand vision, I developed this hierarchical framework into an integrated decision making support model, namely Green Building-Credit Selection (GB-CS) Model, to determine appropriate and resource efficient (i.e. time, cost and labor) GB certification credits that suit the particular attributes of GB project delivery. The GB-CS Model employs the combined use of Delphi Method based weight assignment approach and TOPSIS. The GB-CS Model (1) designates relative weights to hierarchically designed project delivery attributes through Delphi Method based weight assignment process, and (2) determines appropriate credits in accordance with GB project delivery attributes via TOPSIS. I developed the GB-CS Model based on LEED® 2009 NC under BD+C Rating System. I tested and validated the GB-CS Model by conducting a case study on a LEED® registered residential project.
This integrated study formalizes the identification and classification of process waste with their related root causes for GB projects and reveals the cause-effect relationship between them which come together as a multi-attribute decision making support model that aid the optimization of GB project delivery and allows obtaining better outcomes from GB projects through minimizing the root causes of elevated waste and mitigating associated hidden costs. This multi-attribute model provides an interconnected decision making guideline which assesses the particular conditions of the project and project team before deciding to follow a GB rating system and determines the appropriate GB certification credits that are more likely to be obtained in an efficient and effective manner considering the particular attributes of GB project delivery. Properly selected GB certification credits would optimize GB project delivery by mitigating the excess levels of waste generated to fulfill the additional requirements of GB design, construction and certification. The GB-CS Model proposes to give the GB industry and literature the upper hand by facilitating GB project delivery with an adaptive guidance model that quantifies the outcomes of Green decisions and ensures the successful completion of GB projects.Green building (GB) projects require elevated levels of interdependency and interconnectedness of different technical disciplines to respond for the needs of integrated green design systems which definitely cause higher complexities throughout the processes of GB compared to the non-green buildings (NGBs). High levels of complexity in GB processes not only create higher time and cost related waste but also other specific types of waste throughout the GB project delivery process compared to the NGBs. Prior studies identified some of the waste types and related root causes for GB projects; however, a comprehensive identification and classification of waste and related root causes still remains to be a crucial necessity for the GB industry and GB literature.
Waste generation within the GB project delivery process directly relates to the question whether the GB objectives and requirements can be fulfilled by the existing attributes of the project delivery team or not. Particularly, GB certification process embodies detailed requirements and specifications that lead to additional tasks for the project team which altogether elevate complexity levels of the whole project delivery process. In order to achieve GB certification, initially credits need to be selected among a large set of credits categorized under the GB rating system. Then the requirements of these selected credits and the GB rating system must be satisfied by the project and project teams. If selected GB certification credits are not suitable for the project team related GB project delivery attributes, elevated levels of time, money and labor could get wasted while attempting to fulfill the additional requirements of GB design, construction and certification.
Considering GB project attributes is critical for the analysis and optimization of GB project delivery since project attributes affect the outcomes that determine the overall success of GB projects. Hence, there is an obvious necessity for having a decision-making model to tackle with the complexities of GB projects and provide a guideline for determining appropriate GB certification credits in accordance with the project delivery attributes; however, such a model is currently absent in the GB literature.
This Ph.D. study addresses these needs by (1) by examining waste and related root causes in detail for GB project delivery process, (2) analyzing project delivery attributes that play major role in ensuring successful completion of GB projects under a hierarchical framework, and (3) developing a multi-attribute decision making support model from this hierarchical framework to determine resource efficient credits for GB certification. On the road of developing a decision making support model, I initially identified and classified waste types and related root causes, then investigated the cause-effect relation between them by ranking them according to their negative impacts on time and cost in design and construction phases of GB project delivery process determined from a case study that includes three GB projects and performing a two-rounded Delphi Method. Drawing from my findings, I focused on two GB project delivery attributes, i.e. timing of project teams’ involvement and qualifications of project teams, which play a crucial role for ensuring successful completion of GB projects while enduring minimal waste in GB project delivery process. Based on these two attributes, I built a hierarchical framework to assign relative weights to these attributes, and to constitute the basis of my decision making support model. Towards the achievement of my grand vision, I developed this hierarchical framework into an integrated decision making support model, namely Green Building-Credit Selection (GB-CS) Model, to determine appropriate and resource efficient (i.e. time, cost and labor) GB certification credits that suit the particular attributes of GB project delivery. The GB-CS Model employs the combined use of Delphi Method based weight assignment approach and TOPSIS. The GB-CS Model (1) designates relative weights to hierarchically designed project delivery attributes through Delphi Method based weight assignment process, and (2) determines appropriate credits in accordance with GB project delivery attributes via TOPSIS. I developed the GB-CS Model based on LEED® 2009 NC under BD+C Rating System. I tested and validated the GB-CS Model by conducting a case study on a LEED® registered residential project.
This integrated study formalizes the identification and classification of process waste with their related root causes for GB projects and reveals the cause-effect relationship between them which come together as a multi-attribute decision making support model that aid the optimization of GB project delivery and allows obtaining better outcomes from GB projects through minimizing the root causes of elevated waste and mitigating associated hidden costs. This multi-attribute model provides an interconnected decision making guideline which assesses the particular conditions of the project and project team before deciding to follow a GB rating system and determines the appropriate GB certification credits that are more likely to be obtained in an efficient and effective manner considering the particular attributes of GB project delivery. Properly selected GB certification credits would optimize GB project delivery by mitigating the excess levels of waste generated to fulfill the additional requirements of GB design, construction and certification. The GB-CS Model proposes to give the GB industry and literature the upper hand by facilitating GB project delivery with an adaptive guidance model that quantifies the outcomes of Green decisions and ensures the successful completion of GB projects.DIPARTIMENTO DI ARCHITETTURA, INGEGNERIA DELLE COSTRUZIONI E AMBIENTE COSTRUITO27PIZZI, EMILIOGRECCHI, MANUEL
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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