This article presents an integral approach to sustainable noise control system design for building ventilation systems in Hong Kong. This approach combines the analytic hierarchy process and life cycle analysis (LCA) to obtain a holistic view of the system performance in terms of human, economic, and environmental impacts. The approach was applied to the evaluation of various noise control systems including duct liners, silencers, semi-active noise control, and active noise control for ventilation systems. Although passive systems such as duct liners and silencers seem to consume more material resources than semi-active and active systems, the latter require sensors, controllers, resonators or loudspeakers, and electricity. In fact, the LCA showed little difference between the semi-active and active systems and the passive systems in term of resource depletion and carbon emission. As human impact and economic impact dominated the experts’ views on sustainability, the analysed results indicated that the most sustainable design was duct liners, followed by silencers, active noise control, and semi-active noise control.
WaddingtonDCOldhamDJ. The prediction of airflow-generated noise in mechanical ventilation systems. Indoor Built Environ2000; 9: 111–117.
4.
MakCMWuJYeCYangJ. Flow noise from spoilers in ducts. J Acoust Soc Am2009; 125(6): 3756–3765.
5.
MakCM. A prediction method for aerodynamic sound produced by multiple elements in air ducts. J Sound Vib2005; 287: 395–403.
6.
HarrisCM. Noise control in buildings: a practical guide for architects and engineers, New York, NY: McGraw-Hill, 1994.
7.
BeranekLLVerIL. Noise and vibration control engineering: principles and applications, New York, NY: John Wiley & Sons Inc, 1992.
8.
YunYMakCM. The theoretical fundamentals of an adaptive active control using periodic Helmholtz resonators for duct-borne transmission noise in ventilation systems. Build Serv Eng Res Tech2013; 34(2): 195–201.
9.
HansenCSnyderSQiuXBrooksLMoreauD. Active control of noise and vibration, 2nd ed. Boca Raton, FL: CRC Press, 2012.
10.
TichyJ. Active systems for sound attenuation in ducts. In: Proceedings of ICASSP-88, New York, USA, April 11–14, 1988, pp. 2602–265.
11.
SaatyTL. The analytic hierarchy process: planning, priority setting, resource allocation, New York, NY: McGraw Hill, 1980.
12.
SaatyTLVargasLG. Models, methods, concepts and applications of the analytic hierarchy process, Boston, MA: Kluwer Academic Publishers, 2000.
13.
FederovVVKuz’minVBVereskovAIMembership degrees determination from Saaty matrix totalities. In: GuptaMMSanchezE (eds). Approximate reasoning in decision analysis, Amsterdam, The Netherlands: North-Holland, 1982, pp. 23–30.
14.
TriantaphyllovEMannSH. An evaluation of the eigen value approach for determining the membership values in fuzzy sets. Fuzzy Set Syst1990; 35: 295–301.
15.
PanJRahmanS. Multiattribute utility analysis with imprecise information: an enhanced decision support technique for the evaluation of electric generation expansion strategies. Electr Pow Syst Res1998; 46(2): 101–109.
16.
RamanathanR. Selection of appropriate greenhouse gas mitigation options. Global Environ Change1999; 9(3): 203–210.
17.
BascetinA. A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine. Environ Geol2007; 52: 663–672.
18.
Pineda-HensonRCulabaABMendozaGA. Evaluating environmental performance of pulp and paper manufacturing using the analytic hierarchy process and life-cycle assessment. J Ind Ecol2008; 6(1): 15–28.
19.
HermannBGKroezeCJawjitW. Assessing environmental performance by combining life cycle assessment, multi-criteria analysis and environmental performance indicators. J Clean Prod2007; 15(18): 1787–1796.
20.
OngSKKohTHNeeAYC. Assessing the environmental impact of materials processing techniques using an analytical hierarchy process method. J Mater Process Tech2001; 113(1): 424–431.
21.
ChiangCMLaiCM. A study on the comprehensive indicator of indoor environment assessment for occupants’ health in Taiwan. Build Environ2002; 37(4): 387–392.
22.
ChoSHLeeTKKimJT. Residents’ satisfaction of indoor environmental quality in their old apartment homes. Indoor Built Environ2011; 20(1): 16–25.
23.
HuntRGFranklinWEHuntRG. LCA – how it came about. Int J Life Cycle Assess1996; 1(1): 4–7.
24.
ISO 14040/14044 environmental management. Life cycle assessment – principles and framework/requirements and guidelines, Geneva, Switzerland: The International Organization for Standardization, 2006.
YuCWFKimJT. Building environmental assessment schemes for rating of IAQ in sustainable building. Indoor Built Environ2011; 20(1): 5–15.
27.
YuCWFKimJT. Long-term impact of formaldehyde and VOC emissions from wood-based products on indoor environment, and issues with recycled products. Indoor Built Environ2012; 21(1): 137–149.
28.
ToWMLaiTMLoWCLamHKChungWL. The growth pattern and fuel life cycle analysis of the electricity consumption of Hong Kong. Environ Pollut2012; 165: 1–10.
29.
ToWMLaiTMChungWL. Fuel life cycle emissions for electricity consumption in the world’s gaming center - Macao SAR, China. Energy2011; 36(8): 5162–5168.
30.
NanakiEA. Environmental comparison of the use of biodiesel and gasoline for transportation – a case study for Athens. Indoor Built Environ2009; 18(5): 416–423.
31.
ErlandssonMBorgM. Generic LCA – methodology applicable for buildings, constructions, and operation services – today practice and development needs. Build Environ2003; 38: 921–938.
32.
Hong Kong Electrical and Mechanical Services Department. Life cycle assessment (LCA) and life cycle costing (LCC) tool for commercial building developments in Hong Kong – user manual, 2005, http://www.emsd.gov.hk/emsd/e_download/pee/Manual.pdf (year, accessed day month year).
33.
NeyRASchnoorJL. Incremental life cycle analysis: using uncertainty analysis to frame greenhouse gas balances from bioenergy systems for emission trading. Biomass Bioenerg2002; 22: 257–269.
34.
SaatyTL. Decision making for leaders. IEEE Trans Syst Man Cyb1985; SMC15(3): 450–452.
35.
AlyMEBadawyMTS. Sound propagation attenuation in lined annular-variable area ducts using bulk-reacting liners. Appl Acoust2001; 62: 774–778.
36.
KirbyR. Simplified techniques for predicting the transmission loss of a circular dissipative silencer. J Sound Vib2001; 243(3): 417–423.
37.
LiJLMakCMWangZH. Simulation analysis of transmission loss in the vibrating end plate of an expansion chamber. Acta Acust United Acust2008; 94: 765–768.
38.
TrinderMCJNelsonPA. Active noise control in finite length ducts. J Sound Vib1983; 89(1): 95–105.
39.
RezaBSadiqRHewageK. Sustainability assessment of flooring systems in the city of Tehran: an AHP-based life cycle analysis. Constr Build Mater2011; 25: 2053–2057.
40.
American Society of Heating, Refrigerating, and Air Conditioning Engineers. ASHRAE handbook – fundamentals (SI edition). Chapter 35, Duct design. ASHRAE, 2005.
41.
GelinLJ. Active noise control: a tutorial for HVAC designers. ASHRE J1997; 39(8): 43–49.
