Economic and environmental impact marginal analysis of biorefinery products for policy targets

A simple biofuel production system can be first examined for its policy compliance in terms of GHG emission reduction target relative to fossil-based counterparts. More integrated and optimised biorefinery systems with polygeneration can then be evolved with the aid of graphical analysis of marginal emission savings vs. additional economic margins. This bottom-up approach helps to achieve greater GHG emission cut by integrated systems design and thereby setting a more stringent benchmark to support policies towards achieving climate change mitigation goals. The combined Economic Value and Environmental Impact analysis is a multi-level methodology that can be used to represent biorefinery system performances as an aggregate of differential economic and environmental impact margins of biorefinery products. The methodology is extended in this paper to support process integration strategies that allow achieving policy compliance of biorefinery products in terms of GHG emission savings. An economic and environmental impact profile of the products is introduced for a graphical visualisation of economic costs and values as well as deficits and surpluses in environmental impact savings. The effectiveness of the extended methodology has been demonstrated using a Jatropha-based biorefinery system converting Jatropha seed into biodiesel, glycerol and cake, as a case study. The biodiesel produced can achieve 53% emission cut, while glycerol and cake can achieve an emission cut by 57% by displacing similar functionality fossil based products.

[1]  M. Morroni,et al.  Energy transition towards economic and environmental sustainability: feasible paths and policy implications , 2010 .

[2]  Raymond R. Tan,et al.  A graphical representation of carbon footprint reduction for chemical processes , 2010 .

[3]  Russell F Dunn,et al.  Using process integration technology for CLEANER production , 2001 .

[4]  Donald Huisingh,et al.  Development of a sustainability policy model for promoting cleaner production: a knowledge integration approach , 2008 .

[5]  Nan Zhang,et al.  Value Analysis of Complex Systems and Industrial Application to Refineries , 2003 .

[6]  M. Jänicke,et al.  Dynamic governance of clean-energy markets: how technical innovation could accelerate climate policies , 2012 .

[7]  Jhuma Sadhukhan,et al.  Process integration, energy and GHG emission analyses of Jatropha-based biorefinery systems , 2014 .

[8]  A. Holma,et al.  Assessing environmental impacts of biomass production chains - application of life cycle assessment (LCA) and multi-criteria decision analysis (MCDA). , 2012 .

[9]  M. Hildén The evolution of climate policies – the role of learning and evaluations , 2011 .

[10]  Nicholas E. Korres,et al.  Can we meet targets for biofuels and renewable energy in transport given the constraints imposed by policy in agriculture and energy , 2010 .

[11]  Denny K. S. Ng,et al.  Multiple-cascade automated targeting for synthesis of a gasification-based integrated biorefinery. , 2012 .

[12]  Jhuma Sadhukhan,et al.  Economic value and environmental impact (EVEI) analysis of biorefinery systems , 2013 .

[13]  María D. Bovea,et al.  A taxonomy of ecodesign tools for integrating environmental requirements into the product design process , 2012 .

[14]  Jhuma Sadhukhan,et al.  Value analysis tool for feasibility studies of biorefineries integrated with value added production , 2008 .

[15]  Réjean Samson,et al.  A process-based approach to operationalize life cycle assessment through the development of an eco-design decision-support system , 2012 .

[16]  Martin Kumar Patel,et al.  Energy and greenhouse gas assessment of European glucose production from corn – a multiple allocation approach for a key ingredient of the bio-based economy , 2013 .

[17]  Denny K. S. Ng,et al.  The use of graphical pinch analysis for visualizing water footprint constraints in biofuel production , 2009 .

[18]  R. Frischknecht,et al.  A special view on the nature of the allocation problem , 1998 .

[19]  Sharifah Rafidah Wan Alwi,et al.  Holistic carbon planning for industrial parks: a waste-to-resources process integration approach , 2012 .

[20]  Seungdo Kim,et al.  Allocation procedure in ethanol production system from corn grain i. system expansion , 2002 .

[21]  Morgan Fröling,et al.  Energy use indicators in energy and life cycle assessments of biofuels: review and recommendations , 2012 .

[22]  Nilay Shah,et al.  Multiscale Modeling of Biorefineries , 2011 .

[23]  Thokozani Majozi,et al.  A graphical technique for wastewater minimisation in batch processes. , 2006, Journal of environmental management.

[24]  Anna Ekman,et al.  Bioresource utilisation by sustainable technologies in new value-added biorefinery concepts - two case studies from food and forest industry , 2013 .

[25]  R. Shih,et al.  Benefit assessment of cost, energy, and environment for biomass pyrolysis oil , 2013 .

[26]  Mahmoud M. El-Halwagi,et al.  A Disjunctive Programming Formulation for the Optimal Design of Biorefinery Configurations , 2012 .

[27]  Mahmoud M. El-Halwagi,et al.  Optimal planning and site selection for distributed multiproduct biorefineries involving economic, environmental and social objectives. , 2014 .

[28]  Richard Turton,et al.  Analysis, Synthesis and Design of Chemical Processes , 2002 .

[29]  N. Halberg,et al.  LCA of soybean meal , 2008 .

[30]  Denny K. S. Ng,et al.  Automated targeting for the synthesis of an integrated biorefinery , 2010 .

[31]  Simone Bastianoni,et al.  Environmental feasibility of partial substitution of gasoline with ethanol in the Province of Siena (Italy) , 2013 .

[32]  Adisa Azapagic,et al.  Life cycle Assessment and its Application to Process Selection, Design and Optimisation , 1999 .

[33]  Mahmoud M. El-Halwagi,et al.  Process synthesis and optimization of biorefinery configurations , 2012 .

[34]  Donald Huisingh,et al.  Minimising emissions and energy wastage by improved industrial processes and integration of renewable energy , 2010 .