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Clean Technologies and Environmental Policy

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01-10-2015 | Original Paper

Sustainability enhancement under uncertainty: a Monte Carlo-based simulation and system optimization method

Authors: Zheng Liu, Yinlun Huang

Published in: Clean Technologies and Environmental Policy | Issue 7/2015

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Abstract

Known methods for sustainability enhancement are typically scenario based, and the uncertainty of surrounding available data and information is usually not addressed holistically, due to inherent problem complexity. Thus the solutions identified by those methods could be not sufficiently effective in many industrial applications. In this paper, we introduce a Monte Carlo-based simulation and system optimization method for deriving sustainability enhancement strategies, where uncertainties are systematically taken into account. The methodological efficacy is illustrated through the study of an industrial sustainability enhancement problem involving a number of sectors.

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Ayyub BM, Gupta MM (1997) Uncertainty analysis in engineering and sciences: fuzzy logic, statistics, and neural network approach. Kluwer Academic, Boston

Bailey R, Allen JK, Bras B (2004) Applying ecological input-output flow analysis to material flows in industrial systems. Part I: tracing Flows. J Ind Ecol 8:45–68CrossRef

Bartholomew-Biggs MC (2005) Nonlinear optimization with financial applications. Kluwer, Boston

Bilgic T, Baets BD, Kaynak O (2003) Fuzzy sets and systems. In: IFSA 2003: 10th international fuzzy systems association world congress, Springer, Istanbul

Cawleya GC, Janaceka GJ, Haylockb MR, Dorlingc SR (2007) Predictive uncertainty in environmental modeling. Neural Netw 20:537–549CrossRef

Chettouch S, Hamzi R, Innal F, Haddad D (2014) Industrial fire simulation and uncertainty associated with the emission dispersion model. Clean Technol Environ Policy 16:1265–1273CrossRef

Dorini G, Kapelan Z, Azapagic A (2011) Managing uncertainty in multiple-criteria decision making related to sustainability assessment. Clean Technol Environ Policy 13:133–139CrossRef

Gentle JE (1998) Random number generation and Monte Carlo methods. Springer, New YorkCrossRef

Graham I, Jones PL (1988) Expert systems: knowledge, uncertainty, and decision. Chapman and Hall, New York

Hanss M (2005) Applied fuzzy arithmetic: an introduction with engineering applications. Springer, New York

IChemE (2002) The sustainability metrics—sustainable development progress metrics recommended for use in the process industries, IChemE, Rugby

Kalos MH, Whitlock PA (2008) Monte Carlo methods. Wiley, New YorkCrossRef

Kanovich M, Vauzeilles J (2007) Strong planning under uncertainty in domains with numerous but identical elements (a generic approach). Theor Comput Sci 379:84–119CrossRef

Kazantzi V, El-Halwagi AM, Kazantzis N, El-Halwagi MM (2013) Managing uncertainties in a safety-constrained process system for solvent selection and usage: an optimization approach with technical, economic, and risk factors. Clean Technol Environ Policy 15:213–224CrossRef

Khajuria H, Pistikopoulos EN (2013) Optimization and control of pressure swing adsorption processes under uncertainty. AIChE J 59(1):120–131CrossRef

Meinrath G (2000) Computer-intensive methods for uncertainty estimation in complex situations. Chemom Intell Lab Syst 51:175–187CrossRef

Parry GW (1996) The characterization of uncertainty in probabilistic risk assessment of complex systems. Reliab Eng Syst Saf 54(2–3):119–126CrossRef

Piluso C, Huang Y (2009) Collaborative profitable pollution prevention: an approach for the sustainable development of complex industrial zones with uncertain information. Clean Technol Environ Policy 11(3):307–322CrossRef

Piluso C, Huang Y, Lou HH (2008) Ecological input-output analysis-based sustainability analysis of industrial systems. Ind Eng Chem Res 47(6):1955–1966CrossRef

Piluso C, Huang J, Liu Z, Huang Y (2010) Sustainability assessment of industrial systems under uncertainty: a fuzzy-logic-based approach to short-to-mid-term predictions. Ind Eng Chem Res 49(18):8633–8643CrossRef

Ruszczyński AP (2006) Nonlinear optimization. Princeton University Press, Princeton

Shastri Y, Diwekar UM (2006) An efficient algorithm for large scale stochastic nonlinear programming problems. Comput Chem Eng 30:864–877CrossRef

Sikdar S (2009) On aggregating multiple indicators into a single metric for sustainability. Clean Technol Environ Policy 11:157–161CrossRef

Sikdar S, Schuster D, Tanzil D, Beloff B (2011) AIChE sustainability index™ measuring sustainability in the real world: industry experiences. AIChE, New York

Smith RL, Ruiz-Mercado GJ (2014) A method for decision making using sustainability indicators. Clean Technol Environ Policy 16:749–755CrossRef

Subramanyan K, Wu Y, Diwekar UM, Wang MQ (2008) New stochastic simulation capability applied to the GREET model. Int J LCA 13(3):278–285CrossRef

Tang MC, Chin M, Lim KM, Mun YS, Ng R, Tay D, Ng D (2013) Systematic approach for conceptual design of an integrated. Clean Technol Environ Policy 15:783–799CrossRef

Wang Z, Jia XP, Shi L (2010) Optimization of multi-product batch plant design under uncertainty with environmental considerations. Clean Technol Environ Policy 12:273–282CrossRef

World Commission on Environment and Development (WCED) (1987) Our common future, Oxford University Press, Oxford

Zhou L, Tokos H, Krajnc D, Yang Y (2012) Sustainability performance evaluation in industry by composite sustainability index. Clean Technol Environ Policy 14:789–803CrossRef

Zhou Z, Zhang JY, Liu P, Li Z, Georgiadis MC, Pistikopoulos EN (2013) A two-stage stochastic programming model for the optimal design of distributed energy systems. Appl Energy 103:135–144CrossRef

Title: Sustainability enhancement under uncertainty: a Monte Carlo-based simulation and system optimization method
Authors: Zheng Liu
Yinlun Huang
Publication date: 01-10-2015
Publisher: Springer Berlin Heidelberg
Published in: Clean Technologies and Environmental Policy / Issue 7/2015
Print ISSN: 1618-954X
Electronic ISSN: 1618-9558
DOI: https://doi.org/10.1007/s10098-015-0916-y

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