Revista de Arquitectura (Bogotá) 22-1 enero-junio 2020
Cómo citar
Cubillos-González R. A. (2019). Análisis de redes para la transferencia de tecnologías sostenibles entre firmas de construcción internacional. Revista de Arquitectura (Bogotá), 22(1). https://doi.org/10.14718/RevArq.2020.2562

Resumen

Resumen

La transferencia de tecnología sostenible es compleja para las firmas de construcción. Una posible solución es analizar esa clase de transferencia como una red social ya que, si se identifican las diferentes relaciones entre los actores del sector construcción, es posible evaluar la capacidad de adaptación tecnológica de dichos actores. El objetivo fue evaluar la transferencia de tecnología sostenible entre empresas constructoras internacionales que se dedican a construir vivienda social o accesible. Para esto, se identificaron dos países con capacidad de transferencia de tecnología sostenible (Reino Unido y Estados Unidos) y dos países de menor capacidad tecnológica y con potencial de adaptarse a dichas tecnologías (Brasil y Colombia); posteriormente, se seleccionaron cinco firmas constructoras por cada país, con las cuales se hizo un análisis de redes (grado, intensidad, cercanía y densidad), y luego, procesos de simulación. Como resultado se identificó la capacidad de transferencia tecnológica que tienen las empresas latinoamericanas para aceptar y adaptar tecnologías de empresas de países industrializados, y se espera poder desarrollar indicadores de medición del proceso de transferencia tecnológica que permitan comprender mejor la complejidad de este proceso en el área de la vivienda social.

Palabras clave: adaptación tecnológica, edificaciones sostenibles, industria de la construcción, sector de la construcción, transferencia tecnología, vivienda accesible, vivienda social

 

Abstract

The green technology transfer is complex for construction firms. A solution is to analyze it as a social network since, if I identify the different relationships between the actors in the construction sector, it is possible to test the technology adaptation capacity of these actors. The aim was to test the transfer of green technology between international construction companies that dedicated to building social or accessible housing. For this, two countries with the capacity to transfer green technology (United Kingdom and the United States) and two countries with less technology capacity and with the potential to adapt to these technologies (Brazil and Colombia) identified, then 5 construction firms selected for each country with which an analysis of networks (degree, intensity, proximity, and density) and then simulation carried out. As a result, the technology transfer capacity of Latin America companies to accept and adapt technologies from companies in industrialized countries identified, and it hoped to develop indicators of measurement of the technology transfer that allows a better understanding of the complexity of Social Housing.

Keywords: technology adaptation, green buildings, construction industry, construction field, technology transfer, affordable housing, social housing.

 

Recibido: enero 3 / 2019  Evaluado: julio 9 / 2019  Aceptado: noviembre 4 / 2019

Publicado en línea: noviembre de 2019                               Actualizado: noviembre de 2019

Licencia

Derechos de autor 2019 Rolando Arturo Cubillos-González

Creative Commons License
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.

Citas

Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2015). Social network analysis for construction specialty trade interference and work plan reliability. Proceedings of IGLC 23 - 23rd Annual Conference of the International Group for Lean Construction: Global Knowledge - Global Solutions, 2015-January (919), 143–152. Recuperado de http://iglc.net/Papers/Details/1223

Alarcón, D. M., Alarcón, I. M., & Alarcón, L. F. (2013). Social network analysis: A diagnostic tool for information flow in the AEC industry. 21st Annual Conference of the International Group for Lean Construction 2013, IGLC 2013, 196–205. Recuperado de http://iglc.net/Papers/Details/864

Alsema, E. A., Anink, D., Meijer, A., Straub, A., & Donze, G. (2016). Integration of Energy and Material Performance of Buildings: I=E+M. Energy Procedia, 96(October), 517–528. Doi: https://doi.org/10.1016/j.egypro.2016.09.094

Asadi, E., Silva, M. G. Da, Antunes, C. H., Dias, L., & Glicksman, L. (2014). Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application. Energy and Buildings, 81, 444–456. Doi: https://doi.org/10.1016/j.enbuild.2014.06.009

Borgatti, S.P., Everett, M.G., & Johnson, J.C. (2013). Analyzing Social Networks. Sage Publications.

Carlucci, S., Lobaccaro, G., Li, Y., Catto Lucchino, E., & Ramaci, R. (2016). The effect of spatial and temporal randomness of stochastically generated occupancy schedules on the energy performance of a multiresidential building. Energy and Buildings, 127, 279–300. Doi: https://doi.org/10.1016/j.enbuild.2016.05.023

Castillo, T., Alarcón, L. F., & Pellicer, E. (2018). Influence of Organizational Characteristics on Construction Project Performance Using Corporate Social Networks. Journal of Management in Engineering, 34(4). Doi: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000612

Gelesz, A., & Reith, A. (2015). Climate-based performance evaluation of double skin facades by building energy modelling in Central Europe. Energy Procedia, 78, 555–560. Doi: https://doi.org/10.1016/j.egypro.2015.11.735

Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, 409(19), 3578–3594. Doi: https://doi.org/10.1016/j.scitotenv.2011.06.022

Kim, M. J., Oh, M. W., & Kim, J. T. (2013). A method for evaluating the performance of green buildings with a focus on user experience. Energy and Buildings, 66, 203–210. Doi: https://doi.org/10.1016/j.enbuild.2013.07.049

Kontu, K., Rinne, S., Olkkonen, V., Lahdelma, R., & Salminen, P. (2015). Multicriteria evaluation of heating choices for a new sustainable residential area. Energy and Buildings, 93(x), 169–179. Doi: https://doi.org/10.1016/j.enbuild.2015.02.003

Liu, Y., Guo, X., & Hu, F. (2014). Cost-benefit analysis on green building energy efficiency technology application: A case in China. Energy and Buildings, 82, 37–46. Doi: https://doi.org/10.1016/j.enbuild.2014.07.008

Lopes, R. A., Chambel, A., Neves, J., Aelenei, D., & Martins, J. (2016). A Literature Review of Methodologies Used to Assess the Energy Flexibility of Buildings. Energy Procedia, 91, 1053–1058. Doi: https://doi.org/10.1016/j.egypro.2016.06.274

Ma, H., Zhou, W., Lu, X., Ding, Z., & Cao, Y. (2016). Application of Low Cost Active and Passive Energy Saving Technologies in an Ultra-low Energy Consumption Building. Energy Procedia, 88, 807–813. Doi: https://doi.org/10.1016/j.egypro.2016.06.132

Marques, S. B., Bissoli-Dalvi, M., & Alvarez, C. E. de. (2018). Políticas públicas em prol da sustentabilidade na construção civil em municípios brasileiros. urbe. Revista Brasileira de Gestão Urbana, 10(Suppl. 1), 186-196. Epub July 30, 2018. Doi: https://dx.doi.org/10.1590/2175-3369.010.supl1.ao10

McKinsey Global Institute. (2017). Reinventing Construction: A Route to Higher Productivity. McKinsey & Company, (February), 20. Doi: https://doi.org/10.1080/19320248.2010.527275

Moschetti, R., & Brattebø, H. (2016). Sustainable business models for deep energy retrofitting of buildings: state-of-the-art and methodological approach. Energy Procedia, 96(1876), 435–445. Doi: https://doi.org/10.1016/j.egypro.2016.09.174

Niknam, M., & Karshenas, S. (2015). Sustainable Design of Buildings using Semantic BIM and Semantic Web Services. Procedia Engineering, 118, 909–917. Doi: https://doi.org/10.1016/j.proeng.2015.08.530

Panchal, S., Dincer, I., & Agelin-Chaab, M. (2016). Analysis and evaluation of a new renewable energy based integrated system for residential applications. Energy and Buildings, 128, 900–910. https://doi.org/10.1016/j.enbuild.2016.07.038

Park, H., & Han, S. H. (2012). Impact of inter-firm collaboration networks in international construction projects: A longitudinal study. In Construction Research Congress 2012: Construction Challenges in a Flat World (pp. 1460–1470). Construction Management and Information Laboratory, Dept. of Civil and Environmental Engineering, Yonsei University, Seoul, South Korea. Doi: https://doi.org/10.1061/9780784412329.147

Pisello, A. L., Castaldo, V. L., Taylor, J. E., & Cotana, F. (2016). The impact of natural ventilation on building energy requirement at inter-building scale. Energy and Buildings, 127, 870–883. Doi: https://doi.org/10.1016/j.enbuild.2016.06.023

Salcido, J. C., Abdul, A., & Issa, R. R. A. (2016). From simulation to monitoring: Evaluating the potential of mixed-mode ventilation (MMV) systems for integrating natural ventilation in office buildings through a comprehensive literature review. Energy & Buildings, 127, 1008–1018. Doi: https://doi.org/10.1016/j.enbuild.2016.06.054

Sartori, I., Napolitano, A., & Voss, K. (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48, 220–232. Doi: https://doi.org/10.1016/j.enbuild.2012.01.032

Zabalza Bribián, I., Valero Capilla, A., & Aranda Usón, A. (2011). Life cycle assessment of building materials: Comparative analysis of energy and environmental impacts and evaluation of the eco-efficiency improvement potential. Building and Environment, 46(5), 1133–1140. Doi: https://doi.org/10.1016/j.buildenv.2010.12.002

Zucker, G., Judex, F., Blöchle, M., Köstl, M., Widl, E., Hauer, S., … Zeilinger, J. (2016). A new method for optimizing operation of large neighborhoods of buildings using thermal simulation. Energy and Buildings, 125, 153–160. Doi: https://doi.org/10.1016/j.enbuild.2016.04.081
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