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Towards a Normalized Reference System in Building Construction Planning for Automated Quantitative Assessment and Optimization of Energy and Cost Efficiency

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IT Revolutions (IT Revolutions 2011)

Abstract

The conceivable future shortage in fossil resources and savings in building construction engineering for competitiveness on the market are the ecological and economic stimulus for well-considered and optimized architecture and material choice to maximize the trade-off between cost and energy optimization. BauOptimizer construction planning application allows monitoring and optimization of both, energy and cost efficiency from the very first planning iteration to the final design. Simulated building construction costs and the energy cost forecast for the next decades are linked together to establish a quantitative assessment of construction plan efficiency and further allowing to automatically evaluate all possible planning variants by altering the construction types of the walls, the windows and all other modalities. Based on the solution space of planning variants and legal norms, a construction site specific scale for assessing the quality of a single construction plan compared to the theoretically most efficient design to achieve can be performed.

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Zwettler, G., Track, P., Waschaurek, F., Woschitz, R., Hagmann, E., Hinterholzer, S. (2012). Towards a Normalized Reference System in Building Construction Planning for Automated Quantitative Assessment and Optimization of Energy and Cost Efficiency. In: Liñán Reyes, M., Flores Arias, J.M., González de la Rosa, J.J., Langer, J., Bellido Outeiriño, F.J., Moreno-Munñoz, A. (eds) IT Revolutions. IT Revolutions 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 82. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32304-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-32304-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32303-4

  • Online ISBN: 978-3-642-32304-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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