Abstract
We present a tool which empowers ‘green’ design freedom for architects by presenting ever expanding choices in components and materials and automatizing their configuration and placement. Several time- and resource- consuming initial design iterations are eliminated by optimizing the energetic efficiency of the building in the original draft phase. The smart, efficient, energy producing building of the future can thereby offer increased cost and energy efficiency, security and comfort, without any compromise in style and form - on the contrary, the proposed tool stands to open up a novel palette of creative ‘green’ architectural design elements, which would effectively be co-designed by architects. The proposed algorithmic CAD design tool allows direct integration of renewable sources in the architectural design phase, taking into account local meteorological and solar radiation conditions. Furthermore locally optimized evolution and modification of renewable components integrated into the building’s structure is possible, leveraging an increasingly wide range of possibilities in form, finish and renewable energy generation.
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- 1.
Basic floor plans available at: http://www.archdaily.com.br/br/01-172411/classicos-da-arquitetura-segunda-residencia-do-arquiteto-vilanova-artigas/52c6ca8ae8e44e41f100005b, CAD representation also online (see text).
- 2.
Implemented by Vincent Roy. Amanitides-Woo algorithm implemented by Jesus Mena-Chalco.
- 3.
By effective albedo we mean the ratio of energy reflected to that received by the building (the effective solar radiation) during a certain time period.
References
Li, M., Vitanyi, P.: An Introduction to Kolmogorov Complexity and its Applications: Preface to the, 1st edn. Springer, New York (1997)
Coad, P., Yourdon, E.: Object Oriented Analysis, 2nd edn. Prentice Hall PTR, Englewood Cliffs (1990)
Hohmann, B., Havemann, S., Krispel, U., Fellner, D.: A GML shape grammar for semantically enriched 3D building models. Comput. Graph. 34(4), 322–334 (2010)
Amanatides, J., Woo, A.: A fast voxel traversal algorithm for ray tracing. In: Eurographics 87, pp. 3–10 (1987)
Reda, I., Andreas, A.: Solar position algorithm for solar radiation applications. Sol. Energy 76(5), 577–589 (2004)
Green, M.A., Emery, K., Hishikawa, Y., Warta, W., Dunlop, E.D.: Solar cell efficiency tables (Version 45). Prog. Photovolt. Res. Appl. 23(1), 1–9 (2015)
Andrews, R.W., Pearce, J.M.: The effect of spectral albedo on amorphous silicon and crystalline silicon solar photovoltaic device performance. Sol. Energy 91, 233–241 (2013)
Buchberg, H., Roulet, J.R.: Simulation and optimization of solar collection and storage for house heating. Sol. Energy 12(1), 31–50 (1968)
Fumo, N., Mago, P., Luck, R.: Methodology to estimate building energy consumption using EnergyPlus Benchmark Models. Energy Build. 42(12), 2331–2337 (2010)
Menezes, A.C., Cripps, A., Bouchlaghem, D., Buswell, R.: Predicted vs. actual energy gperformance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap. Appl. Energy 97, 355–364 (2012)
Schlueter, A., Thesseling, F.: Building information model based energy/exergy performance assessment in early design stages. Autom. Constr. 18(2), 153–163 (2009)
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Popescu, F.C. (2015). Algorithmic Design Tool for Integrating Renewable Energy Infrastructures in Buildings: Object Oriented Design for Energy Efficiency. In: Celani, G., Sperling, D., Franco, J. (eds) Computer-Aided Architectural Design Futures. The Next City - New Technologies and the Future of the Built Environment. CAAD Futures 2015. Communications in Computer and Information Science, vol 527. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47386-3_8
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DOI: https://doi.org/10.1007/978-3-662-47386-3_8
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