Consequential LCA Flashcards
What is consequential LCA?
- different definitons –> 3 key words: decisions/changes; market mechanisms; consequences
- > CLCA describes/accessed what environmental consequences decisions/changes can have by inlcuding market mechanisms
What kind of decisions/changes are considered?
– Political decisions, e.g. Nuclear power phase out
– Economic decisions, e.g. investment in new technologies
– Market constraints, e.g. barriers of trade on rare earth metals from China
– Market shifts, e.g. Brexit
– Increased demand for a product, e.g. smart phone, electric vehicles
– Technology development, e.g. hydrogen strategy
Why market mechanisms?
Decisions/changes can lead to a series of dependencies (consequences) in other product systems, that are not necessarily linked to the product life cycle
When to model consequential?
In very general CLCA is appropriate if…
– Consequences of decisions shall be analyzed
– Long term effects are of interest
– Large scale consequences are involved
– A big (economic) size of the object of investigation
– Extended realism needs to be added to the analysis, which leads to inclusion of market mechanisms
How to model consequential
• The life cycle inventory of a CLCA should reflect changes within and outside
the product system that result from a decision –> Consequential part usually effects the LCIA (inventory analysis)
• Goal: Estimate how elementary flows to and from the environment
will change as a result of decisions
• In order to identify changes, market mechanisms shall be included
• Market relations or mechanisms are derived from economic models or outlooks
in specific sectors
Modelling market mechanisms
• There is a wide range of mechanisms , which cause different consequences
–> Rivals (Konkurrenz), Entrants, Customers, Regulation, Resources
– For example, a change in demand and/or supply may influence prices that determine what is produced (substitution mechanisms) and who can afford to consume it (income effects).
– Rebound effects or ripple effects causes consumers to increase their demand for other goods
– Causing the need to build new production plant in consequence of additionally
required materials, parts etc.
– Market displacement of competing products due to marginal market price changes,
consumer behaviour changes, …
Rebound effects
• Rebound effect”: mechanisms that counteract and partly or fully may compensate the consequences in the market
• Such secondary consequences may also increase the effect of the identified consequence or lead to fully different consequences than the direct ones modelled in classical consequential modelling
• Among these mechanisms:
– increasing demand for a (co –)product if its market price is reduced,
– decreasing demand for competing products due to the decreased price of a (co -)product,
– changed consumption patterns due to efficiency increases
– changed consumption patterns due to more time availability by consumers
Modelling market mechanisms - examples
•Economic models used:
– partial equilibrium models (PEM):
“What product flows are affected by a change?”
– General equilibrium models
“Which rebound effects can occur?”
“Which markets are linked?”
– Dynamic optimizing models
“Which marginal effects in dynamic production systems exist?”
• In fact, usually only one market situation is modelled and only one affected process/technology is identified.
Processes to include
• Only (but all relevant) affected processes need to be included, defined as those that respond to changes in demand and/or supply driven by the decision at hand.
• Identification of the processes to be included in the analyzed system is one of the main issues of CLCA
• For identification of the affected processes, there are supporting procedures
– ILCD handbook (decision tree)
– Schmidt 2008 (particular for agricultural CLCA)
– Weidema et al. 2009 ( schematised into a decision tree)
Allocation
• In CLCA multifunctional processes have always to be handled with system expansion, never with allocation
- -> This can lead to multiple functional units, which causes difficulties if a comparative analysis has to be considered!
- also system expansion with substitution can be regarded as consequential modelling
Data requirements
• If an increased or decreased demand does not lead to a linearly increased/ decreased production of all technologies contributing to the production mix, marginal data instead of average data shall be used, e.g.:
– Electricity: natural gas power plant instead of grid mix
– Lithium: potentially mining & smelting instead of salt lakes
• Consideration of developments and improvements of technologies in future
– Specify the adopted time perspective (mostly > 10 years)
Uncertainties
• CLCA is regarded as less transparent and very sensitive to assumptions
• It is necessary to determine (which requires high expertise from other fields)
– whether the market of the specific superseded product is growing, stable, or falling
– which of the available production technologies and routes are the most (or least)
cost efficient ones in long term perspective
– future market and technology developments
– in how far the theoretical, direct consequences are fully or partly counteracted by rebound effects of all kind
–> CLCA causes higher system complexity and, thus, uncertainty
How to deal with uncertanties?
- Modelling arguments have to be reasonable, with evidences, and transparent
- To increase the robustness of the studies, processes and rules have to be defined. For that sensitivity analysis and the use of scenarios are unavoidable.
- Is it better to use an uncertain CLCA than an attributional LCA, which is not intended for the analysis of large scale decision?
How to model consequential - database
• Ecoinvent database version 3 is ready for consequential modelling (as a first version to model CLCA)
How to model consequential?
• Large product system can influence the background situation
–> assumption of marginal impacts still valid?
- the impact assessment can be affected by large scale decisions