Life cycle optimization of energy-intensive processes using eco-costs

PurposeThis study provides a general methodology to integrate LCA into a single- or multi-objective process design optimization context. It uses specific weightings for foreground emissions, for preventable background emissions and for unpreventable background emissions, for each impact category. It is illustrated for a natural gas combined cycle power plant with three scenarios to reduce its carbon dioxide emissions: CO2 capture and sequestration, fuel substitution with biogas or fuel substitution with synthetic gas from wood.MethodsAssuming that the opportunity to prevent emissions elsewhere is an implicit part of the process design decision space, the optimal solution cannot waste such opportunities and is shown to minimize total life cycle costs, including emission avoidance costs based on the optimal combination of prevention and compensation measures in the background system. In the case study, background emissions are inventoried from the ecoinvent database, their compensation costs are derived from the Ecocosts 2007 impact assessment method and their prevention costs are estimated from the literature. The calculated avoidance costs (weightings) then show how the background system affects the final choice of CO2 reduction scenario.Results and discussionIn the case study, all three options partially shift environmental burdens to the background system, which can be prevented or compensated. The corresponding minimum avoidance cost is highest overall for the biogas option, thus putting it at a disadvantage. For a vast majority of ecoinvent processes, energy efficiency is important to minimize total avoidance costs because they are dominated by background CO2. Furthermore, prevention cost data gathering can be simplified in some cases, without distorting design decisions, using a CO2-only background inventory. The non-CO2 background inventory is more useful after process design, for procurement decisions.ConclusionsOver-investing in design modifications cannot achieve the same background impact reductions as a sensible green procurement policy. Thus, the proposed weighting methodology ensures that all types of design decisions integrate LCA without incorrectly assuming that emissions are necessarily unavoidable when in the background. Within a context of future emission taxes or tradable permits, the weightings can also anticipate the after-tax cost passed on by suppliers—a marketable benefit of LCA.RecommendationsSince many LCA studies are equivalent to design optimization problems, the proposed weighting methodology provides a single-score impact method relevant to decision-making as well as a straightforward approach to LCA interpretation in terms of detailing the optimal combination of applicable design modifications, prevention measures and compensation measures.

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

[2]  R. Frischknecht,et al.  Introduction The ecoinvent Database: Overview and Methodological Framework , 2004 .

[3]  Han Brezet,et al.  Communicating the eco-efficiency of products and services by means of the eco-costs/value model , 2002 .

[4]  Réjean Samson,et al.  Multi-objective design optimization of a natural gas-combined cycle with carbon dioxide capture in a life cycle perspective , 2010 .

[5]  François Maréchal,et al.  Advanced Power Plant Design Methodology using Process Integration and Multi-Objective Thermo-Economic Optimisation , 2005 .

[6]  Efstratios N. Pistikopoulos,et al.  Environmentally conscious long-range planning and design of supply chain networks , 2005 .

[7]  Adisa Azapagic,et al.  The application of life cycle assessment to process optimisation , 1999 .

[8]  Arianne Bijma,et al.  The ‘Virtual Pollution Prevention Costs ‘99’ , 2000 .

[9]  Réjean Samson,et al.  Multi-objective Design Optimization of a NGCC Power Plant with CO2 Capture Using Life Cycle Assessment Results , 2008 .

[10]  Pablo Martínez,et al.  Multi Objective Optimization Using Life Cycle Environmental Impact and Cost in the Operation of Utility Plants , 2009 .

[11]  François Maréchal,et al.  Integration of LCA in a thermo-economic model for multi-objective process optimization of SNG production from woody biomass , 2009 .

[12]  François Maréchal,et al.  Integrated design of a gas separation system for the upgrade of crude SNG with membranes , 2009 .

[13]  Gonzalo Guillén-Gosálbez,et al.  A global optimization strategy for the environmentally conscious design of chemical supply chains under uncertainty in the damage assessment model , 2010, Comput. Chem. Eng..

[14]  Hans-Jörg Althaus,et al.  The ecoinvent Database: Overview and Methodological Framework (7 pp) , 2005 .

[15]  Réjean Samson,et al.  Optimal greenhouse gas emissions in NGCC plants integrating life cycle assessment , 2012 .

[16]  Joost G. Vogtländer,et al.  The virtual eco-costs ‘99 A single LCA-based indicator for sustainability and the eco-costs-value ratio (EVR) model for economic allocation , 2001 .

[17]  A. Schiff,et al.  Natural Gas Systems , 2010 .