Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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	Kota, S, Haberl, J, Clayton, M and Yan, W (2014) Building Information Modelling (BIM)-based daylighting simulation and analysis , Energy and Buildings, 81, pp. 391-403

	Kota, S, Haberl, JS, Clayton, MJ and Yan, W (2014) Building Information Modeling (BIM)-based daylighting simulation and analysis , Energy and Buildings, 81, pp. 391-403

	L. S. Marcolino, B. Kolev, S. Price, S. P. Veetil, D. Gerber, J. Musil, M. Tambe. (2014) Aggregating Opinions to Design Energy-Efficient Buildings , 8th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2014), Quebec, Canada.

	L. S. Marcolino, B. Kolev, S. Price, S. P. Veetil, D. Gerber, J. Musil, M. Tambe. (2014) Aggregating Opinions to Design Energy-Efficient Buildings , 8th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2014), Quebec, Canada.

	Lam, K.P., Zhao, J., Ydstie, E.B., Wirick, J., Qi, M. and Park, J. (2014) An EnergyPlus Whole Building Energy Model Calibration Method for Office Buildings Using Occupant Behavior Data Mining and Empirical Data , Proceedings of the 2014 ASHRAE/IBPSA_USA Building Simulation Conference, Atlanta, pp. 160-167

	Lee, Y. S., & Malkawi, A. M. (2014) Simulating Multiple Occupant Behaviors in Buildings: an Agent-based Modeling Approach , Energy and Buildings, 69, 47-416. Available at: https://doi.org/1.116/j.enbuild.213.11.2

	Li, C, Hong, T and Yan, D (2014) An insight into actual energy use and its drivers in high-performance buildings , Applied Energy, Elsevier, 131, p. 394

	Lucon O, Urge-Vorsatz D, Zain Ahmed A, et al (2014) Buildings , Climate change 2014: Mitigation of climate change. Cambridge, UK and New York, NY, USA: Cambridge University Press, 2014.

	M. V. Cruz-Salas, J. A. Castillo, and G. Huelsz (2014) Experimental Study on Natural Ventilation of a Room with a Windward Window and Different Windexchangers , Energy and Buildings 84: 458–65

	Manzan, M (2014) Genetic optimization of external fixed shading devices , Energy and Buildings, 72, pp. 431-440

	Martina Decker, and Andrzej Zarzycki (2014) Designing Resilient Buildings with Emergent Materials , Fusion: Proceedings of the 32nd eCAADe Conference, vol. 2. Newcastle upon Tyne, England. 179–184

	Martins, TA, Adolphe, L and Bastos, LE (2014) From solar constraints to urban design opportunities: Optimization of built form typologies in a Brazilian tropical city , Energy and Buildings, 76, pp. 43-56

	Mavrouli, O., Fotopoulou, S., Pitilakis, K., Zuccaro, G., Corominas, J., Santo, A., Cacace, F., De Gregorio, D., Di Crescenzo, G., Foerster, E., & Ulrich, T. (2014) Vulnerability assessment for reinforced concrete buildings exposed to landslides , Bulletin of Engineering Geology and the Environment. https://doi.org/10.1007/s10064-014-0573-0

	Menicovich, D., Lander, D., Vollen, J., Amitay, M., Letchford, C. and Dyson, A. (2014) Improving aerodynamic performance of tall buildings using fluid based aerodynamic modification , Journal of Wind Engineering and Industrial Aerodynamics, 133, pp. 263-273

	Nembrini, J, Samberger, S and Labelle, G (2014) Parametric scripting for early design performance simulation , Energy and Buildings, 68, pp. 786-798

	Nembrini, J, Samberger, S and Labelle, G (2014) Parametric scripting for early design performance simulation , Energy and Buildings, 68, pp. 786-798

	Neugebauer, Jurgen (2014) Applications for Curved Glass in Buildings , Journal of Facade Design and Engineering 2 (1–2): 67–83

	Orland, B., Ram, N., Lang, D., Houser, K., Kling, N. And Coccia, M. (2014) Saving energy in an office environment: A serious game intervention , Energy and Buildings, Elsevier B.V., Vol. 74, pp. 43–52

	Patlakas, P, Becerra Santacruz, H and Altan, H (2014) Visualising the environmental conditions of buildings , Proceedings of the Institution of Civil Engineers - Civil Engineering, 167, pp. 56-64

	Paudel, S., Elmtiri, M., Kling, W.L., Corre, O.L., & Lacarriere, B. (2014) Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial Neural Network , Energy and Buildings, 7, 81-93. Available at: https://doi.org/1.116/j.enbuild.213.11.51.

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