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SPECIALTY GRAND CHALLENGE article

Front. Built Environ., 03 November 2015
Sec. Sustainable Design and Construction
Volume 1 - 2015 | https://doi.org/10.3389/fbuil.2015.00022

Grand challenges in sustainable design and construction

  • Department of Building, School of Design and Environment, National University of Singapore, Singapore, Singapore

Introduction

The world has experienced unprecedented urban growth in the last and current centuries. In 1800, only 3% of the world’s population lived in urban areas. It increased to 14 and 47% in 1900 and 2000, respectively. Since 2008, for the first time in history, more than half of the world population lives in the urban areas (Laski and Schellekens, 2007). In year 2003, United Nations estimated that by year 2030, up to five billion people will be living in urban areas, accounting for 61% of the world’s population. The ongoing migration to urban areas has massive environmental consequences. This condition of unprecedented shift from the countryside to cities has been influencing climate change, where urban areas account for up to 70% of the world greenhouse gas emissions.

Cities are growing toward megacities with higher density urban planning, narrower urban corridors, and more high-rise urban structures. Increasing urbanization causes the deterioration of the urban environment, as the size of housing plots decreases, thus increasing densities and crowding out greeneries (Santamouris et al., 2001). Cities tend to record higher temperatures than their non-urbanized surroundings, a phenomenon known as urban heat island (UHI) (Oke, 1982; Jusuf et al., 2007). Earlier studies show strong relation between urban morphology and increasing air temperature within city centers. Urban structures absorb solar heat during the day and release it during the night. Densely built area tends to trap heat, which is released from urban structures into the urban environment, increasing urban air temperature compared to surrounding rural areas and causes UHI effect. UHI affects street level thermal comfort, health, environment quality, and may increase the urban energy demand.

As the number of buildings and associated infrastructures increases drastically in order to cope with the increasing population in cities, tremendous resources are required for the construction, operation, and maintenance of these buildings. Design of these buildings become very crucial as the resources required in the subsequent operation and maintenance is highly dependent on the quality of such design (Macmillan, 2005). Over the years, there has been tremendous effort put in to design “Green Buildings,” with the key objective to make the buildings more sustainable by minimizing the utilization of resources in the construction, operation, and maintenance of buildings. Building systems such as air conditioning and lighting are energy guzzlers, which can consume more than 60% of the energy consumption in a typical commercial building. They can also impact the indoor environmental quality. Thus, energy efficiency of the systems is crucial. Selection of materials, which can minimize the embodied energy and construction waste is also important.

Advances in the Design, Construction, Operation, and Maintenance of the Built Environment

The multifaceted relationship between microclimate and built environment is the key to promote sustainable theme within design and building practice. There is a vast body of knowledge and research studies about this matter, but to understand fully the microclimate impact on built environment is still a very challenging effort. The whole ecology system comprises many systems, which are too complex to be quantified and represented in numbers and models (Yeang, 1995). However, this incomplete and inadequate state of current knowledge about climate–urban relationship should not be the reason to be evasive toward preventive or corrective actions within the design process. Planners and engineers should view design process with a proper understanding on ecological aspects, where the concerns should be laid not just at present time, but also for the future. Over the years, researchers have attempted to develop techniques, models, simulation platforms, etc. for urban planners and architects to understand the impact of their designs on various environmental parameters. One key aspect that has shown tremendous progress is in the study of the urban climate, which deals with issues such as UHI, urban airflow, air pollution, urban noise, daylighting, outdoor thermal comfort, etc. (Kang, 2002; Wong et al., 2003; Compagnon, 2004; Georgakis and Santamouris, 2004; Gulliver and Briggs, 2011; Yang et al., 2013). In recent years, modeling techniques to map out the urban climate (temperature, wind, solar radiation, daylighting) have been developed that help to guide the urban design (Matzarakis et al., 2010; Wong et al., 2011; Tominaga and Stathopoulos, 2013). Various mitigation measures such as the integration of greenery with the urban structures (Wong et al., 2003, 2009; Chen and Wong, 2005), application of cool roof materials (Santamouris et al., 2011; Akbari and Damon Matthews, 2012), improvement of the urban airflow, control of the anthropogenic heat (Sailor, 2010) in urban centers, etc., have been studied to great extent.

At the building level, there has been good progress in the modeling of the performance of buildings and the associate systems such as Energy (Crawley et al., 2008), thermal (Hensen and Lamberts, 2012), lighting (Thanachareonkit et al., 2005), acoustic (Beradi, 2014), indoor air quality (Steeman et al., 2009), etc. with greater precision and certainty. With the advancement of information technology, greater utilization of sensors and control systems have been observed in buildings resulting in better performance and energy efficiency in buildings. At the material level, nano-technology has been employed to develop building materials that can help to improve the performance of buildings such as improving the thermal and acoustical insulation, allowing more daylighting through glazing systems but reducing the entry of heat. The concept of Life Cycle Analysis (Dixit et al., 2010; Ramesh et al., 2010) has also been introduced that monitors the embodied body of resources utilized throughout the entire building life cycle. This has also resulted in better control of resources utilization during the design, planning, construction, and operation of buildings.

Current Challenges Encountered in Sustainable Design and Construction

Despite the advances in the research and development in the built environment as discussed in the earlier section, there are still major challenges encountered. One key challenge is in the integration of such practices in the design process. Most designers still see such tasks as the responsibilities of the environmental consultants rather than part and parcel of their design tasks. Thus, it is essential that more research should be conducted to seamlessly integrate such modeling approaches with the design process. With the advancement of Building Information Modeling (BIM) (Bynum et al., 2013; Volk et al., 2014), this will serve as an excellent platform for such integration to occur. It also allows a better integration of the different simulation models so that a better understanding of the relationship between these simulation models could be obtained. Currently, there is also lack of understanding of the inter-relationship between urban and building systems. Such understanding is crucial as studies have shown that the microclimates, which are very much governed by the urban systems could have major impact on the energy, thermal, and lighting performance of buildings. Currently, there are tremendous research works done at the urban level using Geographical Information System (GIS). The study of such inter-relationship between urban and building systems could be facilitated by a better integration between GIS and BIM.

Future Directions

It is envisaged that in the near future, there would be a development of a universal and integrated model that could embedding the entire urban and building models. As such, it allows the seamless integration between these two scales of models. This will also facilitate the development of the boundary conditions generated by the urban model that could be easily utilized by the building model for the simulations. For example, simulations could be conducted to understand the wind and temperature distribution at the urban level and such data could be seamless utilized by the individual building model for the detail simulations of the wind or temperature condition inside the building. Another key development would be the integration of the sensors with the urban model for master planning purpose and for creation of smart cities. Such data at the urban level would then be prorogated to the building level for better understanding of the impact on energy, building performance, etc. At the building level, better integration of sensor data and performance simulations could be achieved and thus results in better energy efficiency and performance of buildings. There should also be more integration of user behavior with the performance simulations.

Conclusion

Currently, the research in Sustainable Design and Construction tends to be very fragmented. It is essential that a more holistic approach should be developed to better understand the relationship between urban, building, building systems, and material. It is also essential that such understanding should be propagated throughout the building delivery process from inception to design to construction, operation, and maintenance of the built environment.

Conflict of Interest Statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Akbari, H., and Damon Matthews, H. (2012). Global cooling updates: reflective roofs and pavements. Energy Build. 55, 2–6. doi: 10.1016/j.enbuild.2012.02.055

CrossRef Full Text | Google Scholar

Beradi, U. (2014). Simulation of acoustical parameters in rectangular churches. J. Build. Perform. Simul. 7, 1–16. doi:10.1080/19401493.2012.757367

CrossRef Full Text | Google Scholar

Bynum, P., Issa, R., and Olbina, S. (2013). Building information modeling in support of sustainable design and construction. J. Constr. Eng. Manag. 139, 24–34. doi:10.1061/(ASCE)CO.1943-7862.0000560

CrossRef Full Text | Google Scholar

Chen, Y., and Wong, N. H. (2005). Thermal benefits of city parks. Energy Build. 38, 105–120. doi:10.1016/j.enbuild.2005.04.003

CrossRef Full Text | Google Scholar

Compagnon, R. (2004). Solar and daylight availability in the urban fabric. Energy Build. 36, 321–328. doi:10.1016/j.enbuild.2004.01.009

CrossRef Full Text | Google Scholar

Crawley, D., Hand, J., Kummert, M., and Griffith, B. (2008). Contrasting the capabilities of building energy performance simulation programs. Build. Environ. 43, 661–673. doi:10.1016/j.buildenv.2006.10.027

CrossRef Full Text | Google Scholar

Dixit, M. K., Fernández-Solís, J. L., Lavy, S., and Culp, C. H. (2010). Identification of parameters for embodied energy measurement: a literature review. Energy Build. 42, 1238–1247. doi:10.1016/j.enbuild.2010.02.016

CrossRef Full Text | Google Scholar

Georgakis, C. H., and Santamouris, M. (2004). On the air flow in urban canyons for ventilation purposes. Int. J. Vent. 3, 6. doi:10.5555/ijov.2004.3.1.53

CrossRef Full Text | Google Scholar

Gulliver, J., and Briggs, D. (2011). STEMS-air: a simple GIS-based air pollution dispersion model for city-wide exposure assessment. Sci. Total Environ. 409, 2419–2429. doi:10.1016/j.scitotenv.2011.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Hensen, J., and Lamberts, R. (2012). Building Performance Simulation for Design and Operation. New York: Spon Press.

Google Scholar

Jusuf, S. K., Wong, N. H., Hagen, E., Anggoro, R., and Yan, H. (2007). The influence of land use on the urban heat island in Singapore. Habitat Int. 31, 232–242. doi:10.1016/j.habitatint.2007.02.006

CrossRef Full Text | Google Scholar

Kang, J. (2002). Numerical modelling of the sound fields in urban streets with diffusely reflecting boundaries. J. Sound Vib. 258, 793–813. doi:10.1006/jsvi.2002.5150

CrossRef Full Text | Google Scholar

Laski, L., and Schellekens, S. (2007). “Growing up urban,” in The State of World Population 2007 Youth Supplement, eds A. Marshal and A. Singer (New York: United Nations Population Fund (UNFPA)).

Google Scholar

Macmillan, S. (2005). Designing Better Buildings, Quality and Value in the Built Environment. New York: Taylor and Francis.

Google Scholar

Matzarakis, A., Rutz, F., and Mayer, H. (2010). Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. Int. J. Biometeorol. 54, 131–139. doi:10.1007/s00484-009-0261-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Oke, T. R. (1982). The energetic basis of the urban heat island. Q. J. R. Meteorol. Soc. 108, 1–24. doi:10.1256/smsqj.45501

CrossRef Full Text | Google Scholar

Ramesh, T., Prakash, R., and Shukla, K. K. (2010). Life cycle energy analysis of buildings: an overview. Energy Build. 42, 1592–1600. doi:10.1016/j.enbuild.2010.05.007

CrossRef Full Text | Google Scholar

Sailor, D. (2010). A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment. Int. J. Climatol. 31, 189–199. doi:10.1002/joc.2106

CrossRef Full Text | Google Scholar

Santamouris, M., Asimakopoulos, D. N., Assimakopoulos, V. D., Chrisomallidou, N., Klitsikas, N., Mangold, N., et al. (2001). Energy and Climate in the Urban Built Environment, Chap. 1. ed. M. Santamouris (London: James & James), 54.

Google Scholar

Santamouris, M., Synnefa, A., and Karlessi, T. (2011). Using advanced cool materials in the urban built environment to mitigate heat islands and improve thermal comfort conditions. Sol. Energy 85, 3085–3102. doi:10.1016/j.solener.2010.12.023

CrossRef Full Text | Google Scholar

Steeman, H. J., Janssens, A., Carmeliet, J., and De Paepe, M. (2009). Modelling indoor air and hygrothermal wall interaction in building simulation: comparison between CFD and a well-mixed zonal model. Build. Environ. 44, 572–583. doi:10.1016/j.buildenv.2008.05.002

CrossRef Full Text | Google Scholar

Thanachareonkit, A., Scartezzini, J., and Andersen, M. (2005). Comparing daylighting performances assessment of buildings in scale models and test modules. Sol. Energy 79, 168–182. doi:10.1016/j.solener.2005.01.011

CrossRef Full Text | Google Scholar

Tominaga, Y., and Stathopoulos, T. (2013). CFD simulation of near-field pollutant dispersion in the urban environment: a review of current modeling techniques. Atmos. Environ. 79, 716–730. doi:10.1016/j.atmosenv.2013.07.028

CrossRef Full Text | Google Scholar

Volk, R., Stengel, J., and Schultmann, F. (2014). Building information modeling (BIM) for existing buildings – literature review and future needs. Autom. Constr. 38, 109–127. doi:10.1016/j.autcon.2013.10.023

CrossRef Full Text | Google Scholar

Wong, N. H., and Chen, Y. (2003). Study of green areas and urban heat island in a tropical city. Habitat Int. 29, 547–558. doi:10.1016/j.habitatint.2004.04.008

CrossRef Full Text | Google Scholar

Wong, N. H., Chen, Y., Ong, C. L., and Sia, A. (2003). Investigation of thermal benefits of rooftop garden in the tropical environment. Buil. Environ. 38, 261–270. doi:10.1016/S0360-1323(02)00066-5

CrossRef Full Text | Google Scholar

Wong, N. H., Jusuf, S. K., Samsudin, R., Eliza, A., and Ignatius, M. (2011). “A climatic responsive urban planning model for high density city: Singapore’s commercial district,” in The 5th International Conference of the International Forum on Urbanism (IFoU) (Singapore: National University of Singapore).

Google Scholar

Wong, N. H., TAN, Y. K. A., Chen, Y., Sekar, K., Tan, P. Y., Chan, D., et al. (2009). Thermal evaluation of vertical greenery systems for building walls. Build. Environ. 45, 663–672. doi:10.1016/j.buildenv.2009.08.005

CrossRef Full Text | Google Scholar

Yang, W., Wong, N. H., and Jusuf, S. K. (2013). Thermal comfort in outdoor urban spaces in Singapore. Build. Environ. 59, 426–435. doi:10.1016/j.buildenv.2012.09.008

CrossRef Full Text | Google Scholar

Yeang, K. (1995). Designing With Nature: The Ecological Basis for Architectural Design. New York, NY: McGraw-Hill.

Google Scholar

Keywords: sustainable design, construction, urban heat island, green building, built environment, building information modelling

Citation: Wong NH (2015) Grand challenges in sustainable design and construction. Front. Built Environ. 1:22. doi: 10.3389/fbuil.2015.00022

Received: 09 September 2015; Accepted: 19 October 2015;
Published: 03 November 2015

Edited by:

Wei Yang, Wuhan University of Technology, China

Reviewed by:

Chunqing Li, RMIT University, Australia

Copyright: © 2015 Wong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Nyuk Hien Wong, bdgwnh@nus.edu.sg

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