Sustainability assessment framework for chemical production pathway: Uncertainty analysis

The sustainability level of a chemical production pathway is an important element that requires to be assessed when developing a new process. Note that the typical sustainability assessment is normally emphasised on economic and technological development. In order to ensure more comprehensive level of sustainability, the protection on human health and preservation of the environment should be considered. This paper presents a systematic framework for assessment of chemical production pathway based on multi-sustainability criteria, i.e., inherent safety, health and environment (SHE) and economic performance (EP). In order to generate an optimal design solution, uncertainty analysis is also incorporated in this framework. Two optimisation approaches are adapted into this framework, i.e. fuzzy optimisation is used for multi-objective analysis, while multi-period optimisation is applied to address the multiple operational periods with presence of uncertainty. To illustrate the proposed framework, assessment on biodiesel production pathway based on enzymatic transesterification using waste oil is conducted. In the case study, three periods (low, medium and high demand period) of demand for biodiesel are considered, whereby each period is subjected to uncertainties, i.e. waste oil flow rate, waste oil price and enzyme price. To accommodate the uncertainties, sensitivity analysis is performed to determine the feasible operating condition, i.e. tert-butanol concentration and reactor residence time, as well as the appropriate sizing of the process modules (or known as unit operations).

[1]  Heinrich J. Rommelfanger,et al.  The Advantages of Fuzzy Optimization Models in Practical Use , 2004, Fuzzy Optim. Decis. Mak..

[2]  H. Zimmermann Fuzzy programming and linear programming with several objective functions , 1978 .

[3]  BenayounR.,et al.  Linear programming with multiple objective functions , 1971 .

[4]  D. Royon,et al.  Enzymatic production of biodiesel from cotton seed oil using t-butanol as a solvent. , 2007, Bioresource technology.

[5]  Joël Blin,et al.  Are plant lipases a promising alternative to catalyze transesterification for biodiesel production , 2013 .

[6]  Nishanth G. Chemmangattuvalappil,et al.  Robust chemical product design via fuzzy optimisation approach , 2015, Comput. Chem. Eng..

[7]  K. Muthukumar,et al.  An overview of enzymatic production of biodiesel. , 2008, Bioresource technology.

[8]  A. Avinash,et al.  Bio-diesel-A global scenario , 2014 .

[9]  Zainal Arifin Ahmad,et al.  Multi-objective optimization of two alkali catalyzed processes for biodiesel from waste cooking oil , 2014 .

[10]  Il Moon,et al.  Integration of Accident Scenario Generation and Multiobjective Optimization for Safety-Cost Decision Making in Chemical Processes , 2006 .

[11]  L. Zhenzhou,et al.  Uncertainty analysis and global sensitivity analysis of techno-economic assessments for biodiesel production. , 2015, Bioresource technology.

[12]  Michael A. Gonzalez,et al.  Sustainability Indicators for Chemical Processes: III. Biodiesel Case Study , 2013 .

[13]  Raymond R. Tan,et al.  Fuzzy optimization of multi-period carbon capture and storage systems with parametric uncertainties , 2014 .

[14]  Amit Bhave,et al.  The future viability of algae-derived biodiesel under economic and technical uncertainties. , 2014, Bioresource technology.

[15]  Palligarnai T. Vasudevan,et al.  Environmentally Sustainable Biofuels: Advances in Biodiesel Research , 2010 .

[16]  Konrad Hungerbühler,et al.  Assessment of environment-, health- and safety aspects of fine chemical processes during early design phases , 1999 .

[17]  Pedro C. Simões,et al.  Economic analysis of a plant for biodiesel production from waste cooking oil via enzymatic transesterification using supercritical carbon dioxide , 2014 .

[18]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[19]  Denny K. S. Ng,et al.  Systematic Framework for Sustainability Assessment of Biodiesel Production: Preliminary Engineering Stage , 2015 .

[20]  Akihiko Kondo,et al.  Enzymatic biodiesel production: an overview of potential feedstocks and process development. , 2013, Bioresource technology.

[21]  Rajagopalan Srinivasan,et al.  A statistical approach for evaluating inherent benign-ness of chemical process routes in early design stages , 2008 .

[22]  L. Christopher,et al.  Enzymatic biodiesel: Challenges and opportunities , 2014 .

[23]  D. Leung,et al.  A review on biodiesel production using catalyzed transesterification , 2010 .

[24]  Ernesto Martínez,et al.  Model-based run-to-run optimization under uncertainty of biodiesel production , 2013 .

[25]  Denny K. S. Ng,et al.  Review of evolution, technology and sustainability assessments of biofuel production , 2014 .

[26]  Jie Feng,et al.  Tech-economic evaluation of waste cooking oil to bio-flotation agent technology in the coal flotation industry , 2015 .

[27]  Warren D. Seider,et al.  Product and Process Design Principles: Synthesis, Analysis and Design , 1998 .

[28]  Markku Hurme,et al.  Implementing inherent safety throughout process lifecycle , 2005 .

[29]  Denny K. S. Ng,et al.  Synthesis of Biomass-based Trigeneration Systems with Uncertainties , 2014 .

[30]  Mimi Haryani Hassim,et al.  Inherent occupational health assessment during preliminary design stage , 2010 .

[31]  Nils Brunsson My own book review : The Irrational Organization , 2014 .

[32]  Mimi Haryani Hassim,et al.  Estimation of chemical concentration due to fugitive emissions during chemical process design , 2010 .

[33]  Klaus D. Timmerhaus,et al.  Plant design and economics for chemical engineers , 1958 .

[34]  Jane C. Bare,et al.  Pollution prevention with chemical process simulators: The generalized waste reduction (WAR) algorithm , 1997 .

[35]  Duncan Lawrence,et al.  Quantifying inherent safety of chemical process routes , 1996 .

[36]  G. Hook,et al.  Responsible care and credibility. , 1996, Environmental health perspectives.

[37]  Ben-Guang Rong,et al.  Process simulation and economical evaluation of enzymatic biodiesel production plant. , 2010, Bioresource technology.

[38]  Denny K. S. Ng,et al.  Sustainability assessment for biodiesel production via fuzzy optimisation during research and development (R&D) stage , 2014, Clean Technologies and Environmental Policy.

[39]  Mahmoud M. El-Halwagi,et al.  Disjunctive fuzzy optimisation for planning and synthesis of bioenergy-based industrial symbiosis system , 2014 .

[40]  François Maréchal,et al.  Multi-objectives, multi-period optimization of district energy systems: II - Daily thermal storage , 2014, Comput. Chem. Eng..