Skip to main content

Algorithmic Design Tool for Integrating Renewable Energy Infrastructures in Buildings: Object Oriented Design for Energy Efficiency

  • Conference paper
  • First Online:
  • 3296 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 527))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 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. 2.

    Implemented by Vincent Roy. Amanitides-Woo algorithm implemented by Jesus Mena-Chalco.

  3. 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

  1. Li, M., Vitanyi, P.: An Introduction to Kolmogorov Complexity and its Applications: Preface to the, 1st edn. Springer, New York (1997)

    Book  Google Scholar 

  2. Coad, P., Yourdon, E.: Object Oriented Analysis, 2nd edn. Prentice Hall PTR, Englewood Cliffs (1990)

    Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. Amanatides, J., Woo, A.: A fast voxel traversal algorithm for ray tracing. In: Eurographics 87, pp. 3–10 (1987)

    Google Scholar 

  5. Reda, I., Andreas, A.: Solar position algorithm for solar radiation applications. Sol. Energy 76(5), 577–589 (2004)

    Article  Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. Buchberg, H., Roulet, J.R.: Simulation and optimization of solar collection and storage for house heating. Sol. Energy 12(1), 31–50 (1968)

    Article  Google Scholar 

  9. Fumo, N., Mago, P., Luck, R.: Methodology to estimate building energy consumption using EnergyPlus Benchmark Models. Energy Build. 42(12), 2331–2337 (2010)

    Article  Google Scholar 

  10. 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)

    Article  Google Scholar 

  11. Schlueter, A., Thesseling, F.: Building information model based energy/exergy performance assessment in early design stages. Autom. Constr. 18(2), 153–163 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Florin C. Popescu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47386-3_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47385-6

  • Online ISBN: 978-3-662-47386-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics