Visualized strategy for predicting buildings energy consumption during early design stage using parametric analysis

Elbeltagi, Emad; Wefki, Hossam; Abdrabou, S.M.; Dawood, Mahmoud; Ramzy, Ahmed

doi:10.1016/j.jobe.2017.07.012

Cited by 60 publications

(32 citation statements)

References 24 publications

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“…Another prominent visualisation is the parallel coordinates plot (Inselberg, 1985). Elbeltagi et al (2017) show how an interactive parallel coordinates plot assists the evaluation of various building design alternatives concerning their energy efficiency. The use of treemap diagrams (Shneiderman, 1992) for aircraft wing design was studied in Yan et al (2012).…”

Section: Information Visualisationsmentioning

confidence: 99%

Visualising Systems: Mapping System Features and Interactive Information Visualisations in Design

Idrissov

Škec

Maier

2020

Proc. Des. Soc.: Des. Conf.

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Interactive computer-supported information visualisations are being increasingly used in design. However, while there are frameworks that discuss how traditional representations, such as sketches, CAD models and static diagrams support design tasks, no such mapping exists for interactive visualisations of product-related information. As novel contributions, this paper reviews the design literature for the use of information visualisations. Moreover, using systems theory and Gestalt principles, insights on the applicability of such information visualisations for various design tasks are given.

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Section: Information Visualisationsmentioning

confidence: 99%

Visualising Systems: Mapping System Features and Interactive Information Visualisations in Design

Idrissov

Škec

Maier

2020

Proc. Des. Soc.: Des. Conf.

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“…Predictive analytics has not been used widely in the AEC industry, where simulation approaches are preferred. For example, creating buildings in virtual environments and simulating its potential energy use is another approach to predict energy consumption (Elbeltagi et al, 2017).…”

Section: Predictive Analyticsmentioning

confidence: 99%

Big Data Analytics System for Costing Power Transmission Projects

Delgado

Bilal

Ajayi

et al. 2020

J. Constr. Eng. Manage.

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Inaccurate cost estimates have significant impacts on the final cost of power transmission projects and erode profits. Methods for cost estimation have been investigated thoroughly, but they are not used widely in practice. The purpose of this study is to leverage a Big Data architecture, to manage the large and diverse data required for predictive analytics. This paper presents a Predictive Analytics and Modelling System (PAMS) that facilitates the use of different data-driven cost prediction methods. A 2.75 million-point dataset of power transmission projects has been used as a case study. The proposed Big Data architecture is fit for purpose. It can handle the diverse datasets used in the construction sector. The three most prevalent cost estimation models were implemented (linear regression, support vector regression, and artificial neural networks). All models performed better than the estimated human-level performance. The primary contribution of this study to the Body of Knowledge is an empirical indication that data-driven methods analysed in this study are on average 13.5% better than manual methods for cost estimation of power transmission projects. Additionally, the paper presents a Big Data architecture that can manage and process large varied datasets and seamless scalability.

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“…This article introduces plugins for grasshopper and the third-party plugins for Rhino, which can help designers to complete performance simulations and to support decision making. E. Elbeltagi et al [22] raise a visualized strategy for building parametric analysis in the early design stage. The strategy is an energy-oriented workflow aimed at the climate in Egypt.…”

Section: Plugins For Design Toolmentioning

confidence: 99%

“…In this process, architects will weigh, compare, and then focus on a few crucial parameters, identify input parameters with the highest effect on building performance and control them in a proper range for low energy consumption. Parameters requiring weighing not only include geometry parameters, e.g., building scale, orientation, block, and window wall rate, but also parameters in the later stage, e.g., wall types, roof types, and glass types [22]. Thus, architects can obtain the parameters' influence on energy without waiting for the final simulation result.…”

Section: Uncertainty Analysis and Sensitivity Analysismentioning

confidence: 99%

Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review

et al. 2018

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Early simulation work in the decision-making stage faces several challenges, including, for example, rapid changes of design, input variable uncertainties, and the lack of design information, although early design work represents a large percentage of energy saving potential. The availability of simulation tools for early design stages can help the architect analyze more alternatives. In this study, the existing simulation tools were explored and classified into three categories: simulation plugins based on the design software, geometry user interfaces for a simulation engine, and self-governing simulation tools. Each category’s typical tools were illustrated with their use, and a uniform standard comparison was conducted to screen tools that are available in the early design stages. The future trends of simulation tools are discussed in the second part: building databases based on existing knowledge, uncertainty and sensitivity analyses, and optimization. Time-consuming simulation is a problem in the use of simulation tools in early design stages. Advanced techniques were developed in this part for fast computing, i.e., cloud computing, parallel computing, meta-models, and more statistical methods. This paper illustrates the practical application of particular simulation tools in the early design stage, presents their limitations, and discusses decision-support tools for specific building design activities.

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Visualized strategy for predicting buildings energy consumption during early design stage using parametric analysis

Cited by 60 publications

References 24 publications

Visualising Systems: Mapping System Features and Interactive Information Visualisations in Design

Visualising Systems: Mapping System Features and Interactive Information Visualisations in Design

Big Data Analytics System for Costing Power Transmission Projects

Simulation-Based Decision Support Tools in the Early Design Stages of a Green Building—A Review

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