Assessing and Measuring Environmental Impact and by Jiří J Klemeš

By Jiří J Klemeš

Assessing and Measuring Environmental effect and Sustainability solutions the query “what are the to be had methodologies to evaluate the environmental sustainability of a product, procedure or process?” a number of recognized authors proportion their services so one can provide a large standpoint of this factor from a chemical and environmental engineering point of view. This mathematical, quantitative publication contains many case stories to aid with the sensible software of environmental and sustainability equipment. Readers the best way to successfully examine and use those methods.

This publication summarizes all suitable environmental methodologies to evaluate the sustainability of a product and instruments, so one can increase extra eco-friendly items or techniques. With lifestyles cycle evaluation as its major technique, this publication speaks to engineers attracted to environmental influence and sustainability.

  • Helps engineers to evaluate, evaluation, and degree sustainability in industry
  • Provides achievable techniques to environmental and sustainability assessment
  • Readers research instruments to evaluate the sustainability of a strategy or product and to layout it in an environmentally pleasant way

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9 Optimization framework for sustainable manufacturing (Diwekar, 2003). uniformity properties in k-dimensions. , who used optimal design schemes for placing the n points on a k-dimensional hypercube. These schemes ensure that the sample set is more representative of the population, showing uniformity properties in multi-dimensions, unlike Monte Carlo, Latin hypercube, and its variant, the Median Latin hypercube sampling technique (Diwekar and Ulas, 2007). It has been found that the HSS and LHHS techniques are an order of magnitude faster than LHS and Monte Carlo techniques; hence, they are the preferred techniques for uncertainty analysis and optimization under uncertainty.

Stated that because dynamic uncertainties are widely encountered in finance, the approach taken in finance in modeling dynamic uncertainties can be used for dynamic uncertainties encountered in dynamic systems in sustainability. They propose using Ito processes (Diwekar, 2008) for modeling dynamic uncertainties. Dynamic uncertainties in general result in stochastic dynamic models that require stochastic calculus for simulation and optimization. Ito (1951, 1974) developed Ito calculus to solve the stochastic differential equations resulting from inclusion of Ito processes.

In: Kirk-Othmer Encyclopedia of Chemical Technology, Online Edition, vol. 26, p. 998. , 1994. Investment under Uncertainty. Princeton University Press, Princeton, NJ. , 2014. Maximizing Sustainability of Ecosystem Model through Socio-Economic Policies Derived from Multivariable Optimal Control Theory, submitted to Environmental Science and Technology. , 1997. Industrial Ecology in Practice: the Evolution of Interdependence at Kalundborg. J. Ind. Ecol. 1 (1), 67. , 1954. A theory of social comparison processes.

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