About
28
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135
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Introduction
Current research interest:
Uncertainty and sensitivity analysis;
Artificial Intelligence;
Building Performance Simulation;
Building Information Modeling;
Additional affiliations
September 2016 - September 2018
Publications
Publications (28)
A growing demand for handling uncertainties and risks in performance-driven building design decision-making has challenged conventional design methods. Thus, researchers in this field lean towards viable alternatives to using deterministic design methods, e.g., probabilistic methods. This research addresses the challenges associated with convention...
Building performance is commonly calculated during the last phases of design, where most design specifications get fixed and are unlikely to be majorly modified based on design programs. Predictive models could play a significant role in informing architects and designers of the impact of their design decisions on energy consumption in buildings du...
Building performance is commonly calculated during the last phases of design, where most design specifications get fixed and are unlikely to be majorly modified based on design programs. Predictive models could play a significant role in informing architects and designers of the impact of their design decisions on energy consumption in buildings du...
A growing demand for handling uncertainties and risks in performance-driven building design decision-making has challenged conventional design methods. Thus, researchers in this field lean towards viable alternatives to using deterministic design methods, e.g., probabilistic methods. This research addresses the challenges associated with convention...
The building performance simulation tools are useful in the field of building design decision-making and provide results but mostly fail to deal with uncertainties. In this research, the integration of the Monte Carlo method and Revit Application Programming Interface (API) is performed to develop a probabilistic method for performance-based buildi...
Building energy performance is one of the key features in performance-based building design decision making. Building envelope materials can play a key role in improving building energy performance. The thermal properties of building materials determine the level of heat transfer through building envelope, thus the annual thermal energy performance...
A growing demand for handling uncertainties and risks in performance driven building design decision-making has challenged conventional design methods. Thus, researchers in this field lean towards viable alternatives to using deterministic design methods, e.g., probabilistic methods. This research addresses the challenges associated with convention...
Building energy performance is one of the key features in performance-based building design decision making. Building envelope materials can play a key role in improving the building energy performance. The thermal properties of building materials determine the level of heat transfer through building envelope, thus the annual thermal energy perform...
Recent literature on building energy performance simulation leans toward implementing uncertainty analysis (UA), instead of deterministic solutions, to handle ever-existing and pivotal uncertainties in building design decision-making process. Variations in weather temperature, degradation of building envelope material properties over time, and rand...
In the building energy performance simulation, the uncertainty analysis (UA) couples to the sensitivity analysis (SA) to handle ever-existing uncertainties; induced by the sources of uncertainty including random occupants behavior and degradation of building materials over time. As a building simulation tool reaches to a high level of complexity, i...
UNCERTAINTY AND SENSITIVITY ANALYSIS USING BUILDING
INFORMATION MODELING
(An Energy Analysis Test Case)
CAADRIA 2019 conference
Building design decision-making is associated with uncertainties due to variations over time and unpredictable parameters. There is a growing demand for probabilistic methods, i.e., uncertainty and sensitivity analyses to handle the uncertainties in building design. This research intends to encourage the application of Building Information Modeling...
Building design optimization process is associated with uncertainties due to climate change, unpredictable occupant behavior, and physical degradation of building material over time. The inherent uncertainties in the design process reduce the reliability and robustness of the optimal design solution(s) and affect design decision-making results. Thi...
In the building energy performance simulation, the uncertainty analysis (UA) couples to the sensitivity analysis (SA) to handle ever-existing uncertainties; induced by the sources of uncertainty including random occupants behavior and degradation of building material over time. As a building simulation tool reaches to a high level of complexity, it...
Recent literature on building energy performance simulation leans toward implementing uncertainty analysis (UA), instead of deterministic solutions, to handle ever-existing and pivotal uncertainties in building design decision-making process. Variations in weather temperature, degradation of building envelope material properties over time, and rand...
Growing demand for handling uncertainties in building energy performance simulation (BEPS) has challenged the conventional deterministic BEPS tools and, thus researchers in the field lean towards viable alternatives, e.g., probabilistic methods. This paper proposes a hybrid framework to implement probabilistic methods in the field of building therm...
To this day, a proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants` behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects...
Decision-making (DM) at the early building design stages is essential to optimise sustainability performances. Nevertheless, the current methods of optimising building sustainability are complex as they involve multiple design variables and performance objectives. With the development of building information modelling (BIM), complicated buildings c...
Due to the arising concern for sustainability in built environment, numerous green building certification and rating systems are available throughout the world including Green Building Index (GBI) and GreenRE which were introduced in Malaysia in 2009 and 2013 respectively. However, the current methods of measuring, analysing and documenting the gre...
There is a rising concern for sustainability in the built environment. Therefore, numerous sustainable building certification and rating systems are developed throughout the world. However, the current methods of measuring, predicting, and optimising the sustainable building design have relied on a number of disjointed analyses to meet the discrete...
With increasing concerns towards energy performance of existing buildings, as the biggest users of energy in the building industry, implementing appropriate green retrofit measures for lower energy consumption is crucial. Designing for better daylighting is one of the applicable strategies to achieve higher energy efficiency with low primary operat...
There is a rising concern for sustainability in the built environment. Therefore, numerous sustainable building certification and rating systems are developed throughout the world. However, the current methods of measuring, predicting, and optimising the sustainable building design have relied on a number of disjointed analyses to meet the discrete...
Following the rapid growth of cities and changes which are seen in the way of living, a lot of old buildings and many historical houses have become exhausted. Various needs of the modern human have affected towns and ancient monuments amazingly fast and if we neglect them, none of the values obtained during the centuries will be maintained. However...
The interaction between technology and history is one of the most significant issues in achieving an efficient and progressive architecture in any era. This is a concept which stems from lesson of traditional architecture of Iran. Architecture as a part of art, has permanently been transforming just like a living organism. In fact, it has been plac...
Questions
Question (1)
I am pleased to announce to those interested in uncertainty and sensitivity analysis in building design decision-making the release of the BIM-based Uncertainty and Sensitivity Analysis (BIM-US) tool. This tool includes a Revit and Dynamo template to model a building, access and modify the thermal properties of building material, building dimensions, and compute Window to Wall Ratio (WWR). The Dynamo templates allows exporting this information to a pre-established Excel spreadsheet. The Excel Graphical User Interface (GUI) is set up to receive and store the building information for further analyses. The user simply hits the “RUN” button in this Excel GUI, and the energy calculation program written in FORTRAN is called automatically. Building annual thermal energy consumption is calculated considering the probability distribution of the building design inputs (dimensions, thermal properties of building material, HVAC system, and WWR). Building annual thermal energy consumption is calculated using both deterministic and probabilistic methods. An RC model of the building is created automatically and energy calculations are conducted as well as uncertainty and sensitivity analysis.
This tool with a user-friendly GUI is developed to integrate uncertainty and sensitivity analysis in building design decision-making with no requirements of programming skills. The user only needs to model the building in Revit, use the Dynamo template to export building information to the Excel spreadsheet, and hit the “RUN” button in the Excel spreadsheet to conduct the deterministic and probabilistic energy analysis. The graphical representation of results is automatically updated in the Excel spreadsheet, upon completing the energy analysis.
We would like to release this tool to public. Our previous publications are attached here for more information. Please let us know if you are interested in implementing this tool or you have any questions about it. You can Email us for further information or request for a link to use this tool:
rasoolkoosha@ tamu.edu
We would like to invite research collaborations to further test and develop this tool.