The framework of an optimization model for building envelope

Procedia Engineering

Volumn 57, Issue , 2013, Pages 670-677

  Lapinskiene, Vilune ^a   Martinaitis, Vytautas ^a  

^a VILNIUS GEDIMINAS TECHNICAL UNIVERSITY   (Lithuania)

Author keywords

Building design; Computer based simulation tools; COPRAS; Decision making; DesignBuilder; Optimization; SimaPro

Indexed keywords

EID: 84891710075     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2013.04.085     Document Type: Conference Paper

References (32)

1. Heiselberg, P. 2007. Integrated Building Design, DCE Lecture Notes No. 017. Aalborg University.
2. Wang, S., Yan, C. and Xiao, F. 2012. Quantitative Energy Performance Assessment Methods for Existing Buildings, Energy and Buildings, 55. pp. 873-888.
3. Sadineni, S.B., Madala, S. and Boehm, R.F., 2011. Passive building energy savings: A review of building envelope components, Renewable and Sustainable Energy Reviews 15(8), pp. 3617-3631.
4. Zemella, G., De March, D., Borrotti, M., Poli, I. 2011. Optimised design of energy efficient building façades via Evolutionary Neural Networks, Energy and Buildings 43(12), pp. 3297-3302. http://dx.doi.org/10.1016/j.enbuild. 2011.10.006
5. Kolokotsa, D., Diakaki, C., Grigoroudis, E., Stavrakakis, G., Kalaitzakis, K. 2009. Decision support methodologies on the energy efficiency and energy management in buildings, Advances in Building Energy Research 3(1), p. 121-146. http://dx.doi.org/10.3763/aber.2009.0305
6. Holst, J. N. 2003. Using whole building simulation models and optimizing procedures to optimize building envelope design with respect to energy consumption and indoor environment. In: Eighth International IBPSA Conference, Eindhoven, Netherlands, August 11-14, 2003, pp. 507-514.
7. Motuzienė, V., and Juodis., E. S., 2010. Simulation based complex energy assessment of office building fenestration, Journal of Civil Engineering and Management 16(3), pp. 345-351.
8. Hamdy, M., Hasan, A. & Siren, K., 2011. Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings, Building and Environment 46(1), pp. 109-123. ign. DCE Lecture Notes No. 017. Aalborg University.
9. Attia, S., Grätia, E., Herde, A. de & Hensen, J.L.M. 2012. Simulation-based decision support tool for early stages of zero-energy building design, Energy and Buildings 49, pp. 2-15. http://dx.doi.org/10.1016/j.enbuild. 2012.01.028
10. Flager, F., Welle, B., Bansal, P., Soremekun, G., Haymaker, J., 2009. Multidisciplinary process integration and design optimization of a classroom building, Journal of Information Technology in Construction (ITcon) 14, pp. 595-612, http://www.itcon.org/2009/38
11. Welle, B., Haymaker, J. & Rogers, Z., 2011. ThermalOpt: A methodology for automated BIM-based multidisciplinary thermal simulation for use in optimization environments, Building Simulation, 4(4), pp. 293-313. doi:10.1007/s12273-011-0052-5
12. Basbagill, J., Flager, F., Lepech, M., Fischer, M., 2012. Application of life cycleassessment to early stage building design for reduced embodied environmental impacts, Building and Environment. doi:10.1016/j.buildenv.2012.11. 009
13. Watson, A., 2011. Digital buildings - Challenges and opportunities, Advanced Engineering Informatics 25(4), pp. 573-581.
14. Schlueter, A. & Thesseling, F., 2009. Building information model based energy/exergy performance assessment in early design stages, Automation in Construction 18(2), pp. 153-163.
15. Hwang, R.-L. & Shu, S.-Y., 2011. Building envelope regulations on thermal comfort in glass facade buildings and energy-saving potential for PMV-based comfort control, Building and Environment 46(4), pp. 824-834.
16. Schade, J., Olofsson, T. & Schreyer, M., 2011. Decision making in a model based design process. Construction Management and Economics, 29(4), pp. 371-382.
17. Fumo, N., Mago, P. & Luck, R., 2010. Methodology to estimate building energy consumption using EnergyPlus Benchmark Models, Energy and Buildings 42(12), pp. 2331-2337.
18. Wright, J. A., Loosemore, H. A. & Farmani, R., 2002. Optimization of building thermal design and control by multi-criterion genetic algorithm, Energy and Buildings 34(9), pp. 959-972.
19. Balcomb, J. D. & Curtner, A., 2000. "Multi-Criteria Decision-Making Process for Buildings,", Proc. of 35th Energy Conversion Engineering Conference and Exhibit, July 24-28, 2000, Las Vegas, Nevada.
20. Šaparauskas, J., 2008. "Automated evaluation of alternative solutions of building design,". Proc. of the 25th International Symposium an Automation and Robotics in Construction (ASARC-2008), 26-29 June, 2008, Vilnius, Lithuania, pp. 507-514.
21. Asadi, E., et al, da Silva, M.G., Antunes, C.H., Dias, L. 2012. A multi-objective optimization model for building retrofit strategies using TRNSYS simulations, GenOpt and MATLAB, Building and Environment 56, pp. 370-378. http://dx.doi.org/10.1016/j.buildenv.2012.04.005
22. Magnier, L. & Haghighat, F., 2010. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network, Building and Environment 45(3), pp. 739-746.
23. Hernandez, P. & Kenny, P., 2010. From net energy to zero energy buildings: Defining life cycle zero energy buildings (LC-ZEB), Energy and Buildings 42(6), pp. 815-821.
24. Crawford, R.H., Czerniakowski, I. & Fuller, R.J. 2011. A comprehensive model for streamlining low-energy building design, Energy and Buildings 43(7), pp. 1748-1756.
25. Kneifel, J. 2010. Life-cycle carbon and cost analysis of energy efficiency measures in new commercial buildings, Energy and Buildings 42(3), pp. 333-340.
26. Zavadskas E. K., Kaklauskas, A. Buildings systemotechnical assessment. Vilnius: Technika, 1996. 280p.
27. Turskis, Z., Zavadskas, E.K., Peldschus, F., 2009. Multi-criteria Optimization System for Decision Making in Construction Design and Management. 2009. Engineering economics, 1 (61), pp. 7-17.
28. Užšilaitytė, L.; Martinaitis, V. 2010. Search for optimal solution of public building renovation in terms of life cycle, Journal of Environment Engineering and Landscape Management 18(2), pp. 102-110.
29. Ginevičius, R.; Podvezko, V. 2008. Multicriteria Evaluation of Lithuanian Banks from the Perspective of their Reliability for clients, Journal of Business Economics and Management 9(4), pp. 257-267.
30. Podvezko, V. 2011. The Comparative Analysis of MCDA Methods SAW and COPRAS. Inzinerine Ekonomika-Engineering Economics 22(2), pp. 134-146.
31. Chatterjee, P., and Athawale., V. M., Chakraborty, S. 2011. Materials selection using complex proportional assessment and evaluation of mixed data methods, Materials & Design 32(2), pp. 851-860.
32. Zavadskas, E. K., Simanauskas, L., Kaklauskas, A., 1998. Decision support systems in construction. Vilnius: Technika. 236p.