Requirements as aspects of regionalization solutions A contribution to the discussion from the GaBi Group as a professional software provider Tabea Beck,

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Presentation transcript:

Requirements as aspects of regionalization solutions A contribution to the discussion from the GaBi Group as a professional software provider Tabea Beck, Martin Baitz, Jan Paul Lindner, Bastian Wittstock, Thorsten Volz

Seite 2 Regionalization in day-to-day business Regionalization of inventories: country specific data Regionalization of impacts (adapted CFs) No automated (consistent, standardized) method available But regionalization (specific characterization and interpretation) is done already since years …either on LCI and LCIA level… Main problem is not missing method….. …but aspects that come up if methods are applied in daily practice by thousands of users (consistency)

Seite 3 Requirements from a software provider`s point of view Solution to address different spatial resolution necessary for different impact categories (GWP needs other resolution than TOX) Regionalization information has to withstand aggregation procedure But detailed regionalized information may not always and anywhere in the calculation needed (smart solution needed) Flexibility of choice of impact assessment method for user of aggregated data (data handling (granularity) must not limit later interpretation) Regionalization needs to provide significantly better results without increasing uncertainty and without severely increasing data acquisition and modeling effort Results still have to be interpretable for industry clients Added value for users leading to enhanced decision support has to be incentive for development

Seite 4 Important aspect from a software provider`s point of view High amount of data, computing power and storage capacity required independent of database system: How to handle this with view into future developments ? We are still a the beginning ! Data mass is drastically increasing ! Is comprehension of LCA user bottleneck ? Is the quality of the results also drastically increasing ? No. of rolled-up processes Average no. of in- and output flows Average no. of compart- ments Storage capacity for floating number 5000 * 600 * 3 * 10* 200 * 8 byte = 144 GByte Amount of scopes Amount of scopes Average no. of locations

Seite 5 Idea Physically decoupling of (technical) from (regional) information Communication over interfaces (standard) Possible Effects Maintenance / Updates better focused on specific needs Storage capacity decoupled Development of regional information (new) independent from technical (established) information (continuity) Failure of new methods does not influence technical data

Seite 6 Inter- face Potential Solution Process Inventory data Process Inventory data Coordinates Process Regionalized impacts Output SO 2 2 kg GIS as database for Regionalized Characterization Factors AP regionalized 6 kg parallel aggregation SO 2 Regio- Equivalents Regionalized CF

Seite 7 Summary and Future Requirements Regionalization must provide added value for user in practice and academia Regionalization should be possible for any impact method Results still have to be (easily) interpretable Storage capacity / speed is a topic for any software / database. Avoid data explosion. Keep technical information like it is Regionalization data must not influence the technical reality Idea: Separate technical information and regionalized impact information Need: Regionalized Characterization factors for consistent GIS datasets (e.g. format shapefiles) needed Goal: Meaningful regionalized datasets in applicable format for professional use.

Seite 8 Messages to enspire discussion Message to all We are open to any idea and solution pathway. Message to method developers: Better roughly right than exactly wrong ! Message to software / database providers: Smart and flexible methods based on existing data needed ! Message to users: Only use regionalization data, if it improves the quality of your results (see goal and scope) !

Seite 9 Two quotes from Einstein When the number of factors coming into play in a phenomenological complex is too large scientific method in most cases fails. You do not really understand something unless you can explain it to your grandmother !