The Experts below are selected from a list of 55746 Experts worldwide ranked by ideXlab platform
Farzad Jalaei - One of the best experts on this subject based on the ideXlab platform.
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bim based approach to conduct life cycle cost analysis of resilient buildings at the Conceptual Stage
Automation in Construction, 2021Co-Authors: Mohammad Amin Hamedi Rad, Farzad Jalaei, Ashkan Golpour, Saeid Hosseini S Varzande, Geoffrey GuestAbstract:Abstract All costs within the life cycle of a building are known as its life cycle cost (LCC). In the design process of a building, the use of a lower initial cost index to select an option among others with similar performance may not lead to an economically optimal alternative during the life cycle. Hence, today, building designers and investors require a tool to estimate life cycle cost at the Conceptual design Stage to select an economically efficient option. Resilient solutions generally lead to a higher level of complexity and upfront costs and carry additional embodied environmental impact as well. This study aims to support the design of resilient buildings using a sound LCC methodology in the preliminary design Stage. The research aims to integrate LCC capabilities directly into a Building Information Model (BIM) and increase the economical relevance and scientific robustness of LCC indicators towards better LCC cost optimization. The plugin, which is developed in the BIM tool is represented to use cost and resiliency factors to predict the whole process cost of building projects to assist designers in selecting a cost-efficient and resilient design option. The LCC of a building includes its initial cost, repair and maintenance cost, operating cost and salvage value at the end of the building's useful life, and all of which were considered in the estimation. The earthquake expected failure and human fatality cost are calculated to consider the resiliency index in building design. The application of the proposed framework to design a residential building is developed and validated on two design options. The application of the actual building project illustrates that by increasing the initial cost in the second alternative by 4.6%, its annual expected failure cost is decreased by 35.4%, and its total life-cycle cost is reduced by almost 10.4% within the first 45 years of operation. The reduction in the cost of the building and human fatality due to failure during an earthquake means the building's resilience would be improved. Using the developed plugin, designers could estimate LCC of the buildings at the early design Stages and design more resilient buildings with better economic performance in its life cycle according to the proposed indices.
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an integrated bim leed application to automate sustainable design assessment framework at the Conceptual Stage of building projects
Sustainable Cities and Society, 2020Co-Authors: Farzad Jalaei, Farnaz Jalaei, Sepehr MohammadiAbstract:Abstract Construction industry has become more interested in designing and constructing environmentally friendly buildings that can provide both high performance and monetary savings. Generally, the sustainability analysis is mostly conducted at the end of the design Stage, once their components and elements have already been selected. However, achieving an integrated sustainable design solution prior to construction means that the design team must manage reciprocal task interdependencies when making decisions related to the selection of the most suitable design alternative that will lead to sustainable and efficient buildings. This study describes a methodology to automate the process sustainability assessment for proposed buildings by integrating Building Information Model (BIM) and LEED certification system while providing a framework to calculate the credits that building could potentially earn at the Conceptual Stage. This research aims to propose an integrated methodology that links BIM with green building certification systems at the early design Stage of a project’s life. A plug-in is developed to calculate and predict the potential accumulated LEED credits with access to the Application Program Interface (API) of the BIM tool, energy analysis and lighting simulation tool, Google Map and their associated library. The plug-in uses K Nearest Neighbour (KNN) data mining method to estimate the missing credits, which could not be calculated directly from design specifications, to propose the whole scale innovative green building evaluation interface for building projects.
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integrating building information modeling bim and leed system at the Conceptual design Stage of sustainable buildings
Sustainable Cities and Society, 2015Co-Authors: Farzad Jalaei, Ahmad JradeAbstract:Abstract Designing environmentally friendly buildings that provide both high performance and cost savings is of increasing interest in the development of sustainable cities. Today, we are looking at not just buildings’ certification but sustainable practices that go beyond ratings to satisfy our social responsibilities. The construction industry in general will benefit from an integrated tool that will help optimize the selection process of materials, equipments, and systems at every Stage of a proposed building's life. Building information modeling (BIM) has the potential to aid designers to select the right type of materials during the early design Stage and to make vital decisions that have great impacts on the life cycle of sustainable buildings. This paper describes a methodology that integrates BIM with the Canadian green building certification system (LEED©). Also, it explains how this integration would assist project teams in making sustainability related decisions while accumulating the required number of points based on the applied green building rating system. The methodology depicts the implementation of a model that automatically calculates the compiled number of LEED certification points and related registration costs for green and certified materials used in designing sustainable buildings all within the concepts of BIM. Using BIM in this methodology will help designers to invent and animate sustainable buildings in 3D mode easily and efficiently at the Conceptual Stage. The design information of the proposed sustainable building will be produced in a timely manner by using new plug-ins, which are developed for that reason, and which will link the BIM model with an external database that stores sustainable materials and assembly groups. A real case project is presented to illustrate the usefulness and capabilities of the proposed model.
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integrating decision support system dss and building information modeling bim to optimize the selection of sustainable building components
Journal of Information Technology in Construction, 2015Co-Authors: Farzad Jalaei, Ahmad Jrade, Mahtab NassiriAbstract:One of the challenges in sustainability analysis and its development is the optimum selection of sustainable materials to meet the project’s requirements while doing sustainable design. This can only be achieved when project team adopt the use of a strategic approach while selecting the materials, although this could be a complex task for decision makers. Building Information Modeling (BIM) offers designers the ability to assess different design alternatives at the Conceptual Stage of a project. As a method of integration and through its modeling techniques, BIM can be used to assess the impacts of design alternatives on the energy saving of buildings all over their life. Furthermore, BIM has the potential to help designers select the right type of materials during the early design Stage, and make vital decisions when selecting the materials that have sustainable impact on the building’s life cycle. The main purpose of this study is to propose a methodology that integrates BIM with decision-making problem-solving approaches (i.e. Entropy-TOPSIS) in order to efficiently optimize the selection of sustainable building components at the Conceptual design Stage of building projects. Therefore, a Decision Support System (DSS) is developed by using Multiple Criteria Decision Making (MCDM) techniques to aid the design team decide on and select the optimum type of sustainable building components and design families while doing Conceptual design of proposed projects, based on three main criteria (i.e. environmental factors, economic factors—“cost efficiency,” and social well-being) in an attempt to identify the influence of design variations on the whole building’s sustainable performance. The multi-criteria procedure embedded in the DSS relies on numerical models to simulate alternative situations, as well as ranking the alternatives and select the best ones based on both the owners’ strategic preferences and the availability of sustainable materials in the market. The set of models included in the DSS describes the relationship between sustainability criteria, manufacturers’ sustainable materials and the interactions between project team that take place during the design of sustainable building projects. This paper aims at exposing the feasibility of using BIM for analysing the life cycle costs of sustainable buildings at the Conceptual Stage. The design alternatives suggested by the DSS are evaluated in an integrated environment that joins BIM concept and Life Cycle Cost (LCC) method to analyze the operational cost of the whole building. An actual building project is used to validate the workability and capability of the proposed methodology.
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an automated bim model to Conceptually design analyze simulate and assess sustainable building projects
Journal of Construction Engineering, 2014Co-Authors: Farzad Jalaei, Ahmad JradeAbstract:Quantifying the environmental impacts and simulating the energy consumption of building’s components at the Conceptual design Stage are very helpful for designers needing to make decisions related to the selection of the best design alternative that would lead to a more energy efficient building. Building Information Modeling (BIM) offers designers the ability to assess different design alternatives at the Conceptual Stage of the project so that energy and life cycle assessment (LCA) strategies and systems are attained. This paper proposes an automated model that links BIM, LCA, energy analysis, and lighting simulation tools with green building certification systems. The implementation is within developing plug-ins on BIM tool capable of measuring the environmental impacts (EI) and embodied energy of building components. Using this method, designers will be provided with a new way to visualize and to identify the potential gain or loss of energy for the building as a whole and for each of its associated components. Furthermore, designers will be able to detect and evaluate the sustainability of the proposed buildings based on Leadership in Energy and Environmental Design (LEED) rating system. An actual building project will be used to illustrate the workability of the proposed methodology.
Ahmad Jrade - One of the best experts on this subject based on the ideXlab platform.
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integrating building information modeling bim and leed system at the Conceptual design Stage of sustainable buildings
Sustainable Cities and Society, 2015Co-Authors: Farzad Jalaei, Ahmad JradeAbstract:Abstract Designing environmentally friendly buildings that provide both high performance and cost savings is of increasing interest in the development of sustainable cities. Today, we are looking at not just buildings’ certification but sustainable practices that go beyond ratings to satisfy our social responsibilities. The construction industry in general will benefit from an integrated tool that will help optimize the selection process of materials, equipments, and systems at every Stage of a proposed building's life. Building information modeling (BIM) has the potential to aid designers to select the right type of materials during the early design Stage and to make vital decisions that have great impacts on the life cycle of sustainable buildings. This paper describes a methodology that integrates BIM with the Canadian green building certification system (LEED©). Also, it explains how this integration would assist project teams in making sustainability related decisions while accumulating the required number of points based on the applied green building rating system. The methodology depicts the implementation of a model that automatically calculates the compiled number of LEED certification points and related registration costs for green and certified materials used in designing sustainable buildings all within the concepts of BIM. Using BIM in this methodology will help designers to invent and animate sustainable buildings in 3D mode easily and efficiently at the Conceptual Stage. The design information of the proposed sustainable building will be produced in a timely manner by using new plug-ins, which are developed for that reason, and which will link the BIM model with an external database that stores sustainable materials and assembly groups. A real case project is presented to illustrate the usefulness and capabilities of the proposed model.
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integrating decision support system dss and building information modeling bim to optimize the selection of sustainable building components
Journal of Information Technology in Construction, 2015Co-Authors: Farzad Jalaei, Ahmad Jrade, Mahtab NassiriAbstract:One of the challenges in sustainability analysis and its development is the optimum selection of sustainable materials to meet the project’s requirements while doing sustainable design. This can only be achieved when project team adopt the use of a strategic approach while selecting the materials, although this could be a complex task for decision makers. Building Information Modeling (BIM) offers designers the ability to assess different design alternatives at the Conceptual Stage of a project. As a method of integration and through its modeling techniques, BIM can be used to assess the impacts of design alternatives on the energy saving of buildings all over their life. Furthermore, BIM has the potential to help designers select the right type of materials during the early design Stage, and make vital decisions when selecting the materials that have sustainable impact on the building’s life cycle. The main purpose of this study is to propose a methodology that integrates BIM with decision-making problem-solving approaches (i.e. Entropy-TOPSIS) in order to efficiently optimize the selection of sustainable building components at the Conceptual design Stage of building projects. Therefore, a Decision Support System (DSS) is developed by using Multiple Criteria Decision Making (MCDM) techniques to aid the design team decide on and select the optimum type of sustainable building components and design families while doing Conceptual design of proposed projects, based on three main criteria (i.e. environmental factors, economic factors—“cost efficiency,” and social well-being) in an attempt to identify the influence of design variations on the whole building’s sustainable performance. The multi-criteria procedure embedded in the DSS relies on numerical models to simulate alternative situations, as well as ranking the alternatives and select the best ones based on both the owners’ strategic preferences and the availability of sustainable materials in the market. The set of models included in the DSS describes the relationship between sustainability criteria, manufacturers’ sustainable materials and the interactions between project team that take place during the design of sustainable building projects. This paper aims at exposing the feasibility of using BIM for analysing the life cycle costs of sustainable buildings at the Conceptual Stage. The design alternatives suggested by the DSS are evaluated in an integrated environment that joins BIM concept and Life Cycle Cost (LCC) method to analyze the operational cost of the whole building. An actual building project is used to validate the workability and capability of the proposed methodology.
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an automated bim model to Conceptually design analyze simulate and assess sustainable building projects
Journal of Construction Engineering, 2014Co-Authors: Farzad Jalaei, Ahmad JradeAbstract:Quantifying the environmental impacts and simulating the energy consumption of building’s components at the Conceptual design Stage are very helpful for designers needing to make decisions related to the selection of the best design alternative that would lead to a more energy efficient building. Building Information Modeling (BIM) offers designers the ability to assess different design alternatives at the Conceptual Stage of the project so that energy and life cycle assessment (LCA) strategies and systems are attained. This paper proposes an automated model that links BIM, LCA, energy analysis, and lighting simulation tools with green building certification systems. The implementation is within developing plug-ins on BIM tool capable of measuring the environmental impacts (EI) and embodied energy of building components. Using this method, designers will be provided with a new way to visualize and to identify the potential gain or loss of energy for the building as a whole and for each of its associated components. Furthermore, designers will be able to detect and evaluate the sustainability of the proposed buildings based on Leadership in Energy and Environmental Design (LEED) rating system. An actual building project will be used to illustrate the workability of the proposed methodology.
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integrating bim with green building certification system energy analysis and cost estimating tools to Conceptually design sustainable buildings
Construction Research Congress 2014, 2014Co-Authors: Farzad Jalaei, Ahmad JradeAbstract:Owners, architects and engineers are more concerned about the sustainability and energy performance of proposed buildings. Evaluating and analyzing the potential energy consumption of buildings at the Conceptual design Stage is very helpful for designers when selecting the design alternative that leads to a more energy efficient facility. Building Information Modeling (BIM) assists designers assess different design alternatives at the Conceptual Stage of a building life so that effective energy strategies are attained within the green building constraints. As well, at that Stage, designers can select the right type of building materials that have great impact on the building’s life cycle energy consumption and operating costs. The aim of this paper is to propose an integrated method that links BIM, energy analysis and cost estimating tools with green building certification system. The successful development of the proposed method helps owners and designers evaluate different design alternatives taking into consideration the sustainability constraints in an efficient and timely manner. BIM’s tool is customized to allow its integration with the energy analysis application in order to identify the potential gain or loss of energy for the building, to detect and to evaluate its sustainability based on the US and/or Canadian Green Building Council (USGBC and/or CaGBC) rating systems and to approximately estimate the costs of construction early at the Conceptual design Stage. An actual building project will be used to illustrate the workability and capability of the proposed method. INRODUCTION Important decisions related to the design of sustainable buildings are made at the Conceptual Stage of their lives. This practice does not consider the integration between the design and energy analysis processes during early Stages and leads to an inefficient way of backtracking to modify the design in order to achieve a set of performance criteria (Schueter and Thessling, 2008). Energy efficiency is an important feature in naming building materials as being environmentally friendly. The ultimate goal in using energy efficient materials is to reduce the amount of artificially generated power that must be brought to a building site (Jong-Jin Kim, 2010). Building Information Modeling tools help users do complete energy analysis and explore different energy saving alternatives during the design Stage. This would help owners and designers make energy related decisions that have high impact on the proposed building life cycle cost. Kriegel and Nies (2008) indicate that BIM can aid in the aspects of sustainable design which include: building orientation, building
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integrating building information modelling with sustainability to design building projects at the Conceptual Stage
Building Simulation, 2013Co-Authors: Ahmad Jrade, Farzad JalaeiAbstract:Lately the construction industry has become more interested in designing and constructing environmentally friendly buildings (e.g. sustainable buildings) that can provide both high performance and monetary savings. In general, sustainability integrates the following three related components: (1) environmental, (2) economic, (3) social well-being. Incorporating these components at the Conceptual Stage is achieved by using sustainable design, through which designers must identify associated materials and systems based on any selected certification (rating) system. The use of building information modelling (BIM) concepts helps engineers design digital models that allow owners to visualize the building before the physical implementation takes place. To apply BIM concepts, designers use tools to create 3D models of buildings where the design materials and systems are selected from the built-in database of these tools. Designers will not be able to quantify the environmental impacts of these materials to support the decisions needed to design sustainable buildings due to the following reasons: (1) a lack of information about the sustainable materials that are stored in the database, (2) a lack of interoperability between the design and analysis tools that enable full life cycle assessments (LCAs) of buildings. This paper presents a methodology that integrates BIM and LCA tools with a database for designing sustainable building projects. The methodology describes the development and implementation of a model that incorporates a database in which information about sustainable materials is stored and linked to a BIM (3D) module along with an LCA module and a certification and cost module. The goal of this model is to simplify the process of creating sustainable designs and to evaluate the environmental impacts (EI) of newly designed buildings at the Conceptual Stage of their life. An actual building project is presented in order to illustrate the usefulness and capabilities of the developed model.
Sepehr Mohammadi - One of the best experts on this subject based on the ideXlab platform.
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an integrated bim leed application to automate sustainable design assessment framework at the Conceptual Stage of building projects
Sustainable Cities and Society, 2020Co-Authors: Farzad Jalaei, Farnaz Jalaei, Sepehr MohammadiAbstract:Abstract Construction industry has become more interested in designing and constructing environmentally friendly buildings that can provide both high performance and monetary savings. Generally, the sustainability analysis is mostly conducted at the end of the design Stage, once their components and elements have already been selected. However, achieving an integrated sustainable design solution prior to construction means that the design team must manage reciprocal task interdependencies when making decisions related to the selection of the most suitable design alternative that will lead to sustainable and efficient buildings. This study describes a methodology to automate the process sustainability assessment for proposed buildings by integrating Building Information Model (BIM) and LEED certification system while providing a framework to calculate the credits that building could potentially earn at the Conceptual Stage. This research aims to propose an integrated methodology that links BIM with green building certification systems at the early design Stage of a project’s life. A plug-in is developed to calculate and predict the potential accumulated LEED credits with access to the Application Program Interface (API) of the BIM tool, energy analysis and lighting simulation tool, Google Map and their associated library. The plug-in uses K Nearest Neighbour (KNN) data mining method to estimate the missing credits, which could not be calculated directly from design specifications, to propose the whole scale innovative green building evaluation interface for building projects.
Darek Ceglarek - One of the best experts on this subject based on the ideXlab platform.
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axiomatic product design in three Stages a constituent roadmap that visualises the status of the design process by tracking the knowledge of the designer
Proceedings 2015, 2015Co-Authors: Erik Puik, Darek CeglarekAbstract:Author supplied from the article: ABSTRACT Increasing global competition in manufacturing technology puts pressure on lead times for product design and production engineering. By the application of effective methods for systems engineering (engineering design), the development risks can be addressed in a structured manner to minimise chances of delay and guarantee timely market introduction. Concurrent design has proven to be effective in markets for high tech systems; the product and its manufacturing means are simultaneously developed starting at the product definition. Unfortunately, not many systems engineering methodologies do support development well in the early Stage of the project where proof of concept is still under investigation. The number of practically applicable tools in this Stage is even worse. Industry could use a systems engineering method that combines a structured risk approach, concurrent development, and especially enables application in the early Stage of product and equipment design. The belief is that Axiomatic Design can provide with a solid foundation for this need. This paper proposes a ‘Constituent Roadmap of Product Design’, based on the axiomatic design methodology. It offers easy access to a broad range of users, experienced and inexperienced. First, it has the ability to evaluate if knowledge application to a design is relevant and complete. Secondly, it offers more detail within the satisfaction interval of the independence axiom. The constituent roadmap is based on recent work that discloses an analysis on information in axiomatic design. The analysis enables better differentiation on project progression in the Conceptual Stage of design. The constituent roadmap integrates axiomatic design and the methods that harmonise with it. Hence, it does not jeopardise the effectiveness of the methodology. An important feature is the check matrix, a low threshold interface that unlocks the methodology to a larger audience. (Source - PDF presented at ASME IMECE (International Mechanical Engineering Congress and Exposition
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axiomatic product design in three Stages a constituent roadmap that visualises the status of the design process by tracking the knowledge of the designer
ASME 2015 International Mechanical Engineering Congress and Exposition, 2015Co-Authors: Erik Puik, Darek CeglarekAbstract:Increasing global competition in manufacturing technology puts pressure on lead times for product design and production engineering. By the application of effective methods for systems engineering (engineering design), the development risks can be addressed in a structured manner to minimise chances of delay and guarantee timely market introduction. Concurrent design has proven to be effective in markets for high tech systems; the product and its manufacturing means are simultaneously developed starting at the product definition. Unfortunately, not many systems engineering methodologies do support development well in the early Stage of the project where proof of concept is still under investigation. The number of practically applicable tools in this Stage is even worse. Industry could use a systems engineering method that combines a structured risk approach, concurrent development, and especially enables application in the early Stage of product and equipment design. The belief is that Axiomatic Design can provide with a solid foundation for this need. This paper proposes a ‘Constituent Roadmap of Product Design’, based on the axiomatic design methodology. It offers easy access to a broad range of users, experienced and inexperienced. First, it has the ability to evaluate if knowledge application to a design is relevant and complete. Secondly, it offers more detail within the satisfaction interval of the independence axiom. The constituent roadmap is based on recent work that discloses an analysis on information in axiomatic design. The analysis enables better differentiation on project progression in the Conceptual Stage of design. The constituent roadmap integrates axiomatic design and the methods that harmonise with it. Hence, it does not jeopardise the effectiveness of the methodology. An important feature is the check matrix, a low threshold interface that unlocks the methodology to a larger audience.Copyright © 2015 by ASME
Manfred Morari - One of the best experts on this subject based on the ideXlab platform.
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model predictive control past present and future
Computers & Chemical Engineering, 1999Co-Authors: Manfred MorariAbstract:Abstract More than 15 years after model predictive control (MPC) appeared in industry as an effective means to deal with multivariable constrained control problems, a theoretical basis for this technique has started to emerge. The issues of feasibility of the on-line optimization, stability and performance are largely understood for systems described by linear models. Much progress has been made on these issues for non-linear systems but for practical applications many questions remain, including the reliability and efficiency of the on-line computation scheme. To deal with model uncertainty ‘rigorously’ an involved dynamic programming problem must be solved. The approximation techniques proposed for this purpose are largely at a Conceptual Stage. Among the broader research needs the following areas are identified: multivariable system identification, performance monitoring and diagnostics, non-linear state estimation, and batch system control. Many practical problems like control objective prioritization and symptom-aided diagnosis can be integrated systematically and effectively into the MPC framework by expanding the problem formulation to include integer variables yielding a mixed-integer quadratic or linear program. Efficient techniques for solving these problems are becoming available.
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model predictive control past present and future
Computers & Chemical Engineering, 1999Co-Authors: Manfred Morari, Jay H LeeAbstract:Abstract More than 15 years after model predictive control (MPC) appeared in industry as an effective means to deal with multivariable constrained control problems, a theoretical basis for this technique has started to emerge. The issues of feasibility of the on-line optimization, stability and performance are largely understood for systems described by linear models. Much progress has been made on these issues for non-linear systems but for practical applications many questions remain, including the reliability and efficiency of the on-line computation scheme. To deal with model uncertainty ‘rigorously’ an involved dynamic programming problem must be solved. The approximation techniques proposed for this purpose are largely at a Conceptual Stage. Among the broader research needs the following areas are identified: multivariable system identification, performance monitoring and diagnostics, non-linear state estimation, and batch system control. Many practical problems like control objective prioritization and symptom-aided diagnosis can be integrated systematically and effectively into the MPC framework by expanding the problem formulation to include integer variables yielding a mixed-integer quadratic or linear program. Efficient techniques for solving these problems are becoming available.