error of TEEPI on the five innovations compared to reference LCAs is 2.1%; this is
obtained for the ADP indicator of Inno_2. We can also notice that the uncertainties
of POCP are significantly higher than those of the other indicators. The length of
uncertainty interval of the POCP indicator is directly linked to the use phase, for
which the POCP depends on the emissions of three pollutants (carbon monoxide,
nitrogen oxides, and hydrocarbons). These emissions vary randomly from one
vehicle to another and from one powertrain to another.
6 Conclusion
E3PICS methodology has led to a successful integration of the “Environment”
service’s requirements in the innovation phase. Through the validation of the
eco-design framework of reference in the quality procedures, the R&E checklist is
systematically used for all innovations from TRL 5 to TRL 6.
TEEPI was developed to take into account one of the “Environment” service’s
requirements of the eco-design framework of reference. Validating the eco-design
framework of reference within the innovation process implies systematic use of
TEEPI for the environmental evaluation of innovations that are selected according
to three criteria defined by the eco-design leader: mass of the innovative solution,
material change between initial and innovative solution and impact on vehicle fuel
consumption.
TEEPI was not designed for generating eco-designed innovative concepts;
therefore, it would be relevant to link this tool to a decision-making design tool
such as those using the problem resolution by constraint satisfaction algorithm [18].
From an organizational point of view, TEEPI has been approved for being used
during the innovation process; it is currently used by the LCA expert. Each innovation is saved in a database that could be used as a case-base in order to use
knowledge management systems and generate good practices in eco-designing
products. Lastly, to make it easier for innovation leaders to take the environmental
dimension into account, they could use a version of TEEPI integrated into a
company’s intranet platform administrated by the LCA expert. This would help
innovation leaders to simulate several innovation options directly. However, a
necessary condition would be that innovation leaders have a good knowledge of life
cycle issues. The current version of TEEPI is the learning vector of this knowledge.
References
1. International Energy Agency, Key World Energy Statistics 2015, 2015.
2. European Parliament Council, Regulation No. 443/2009 of the European Parliament and of
the Council of 23 April 2009 setting emission performance standards for new passenger cars
378
J. Garcia et al.
obtained for the ADP indicator of Inno_2. We can also notice that the uncertainties
of POCP are significantly higher than those of the other indicators. The length of
uncertainty interval of the POCP indicator is directly linked to the use phase, for
which the POCP depends on the emissions of three pollutants (carbon monoxide,
nitrogen oxides, and hydrocarbons). These emissions vary randomly from one
vehicle to another and from one powertrain to another.
6 Conclusion
E3PICS methodology has led to a successful integration of the “Environment”
service’s requirements in the innovation phase. Through the validation of the
eco-design framework of reference in the quality procedures, the R&E checklist is
systematically used for all innovations from TRL 5 to TRL 6.
TEEPI was developed to take into account one of the “Environment” service’s
requirements of the eco-design framework of reference. Validating the eco-design
framework of reference within the innovation process implies systematic use of
TEEPI for the environmental evaluation of innovations that are selected according
to three criteria defined by the eco-design leader: mass of the innovative solution,
material change between initial and innovative solution and impact on vehicle fuel
consumption.
TEEPI was not designed for generating eco-designed innovative concepts;
therefore, it would be relevant to link this tool to a decision-making design tool
such as those using the problem resolution by constraint satisfaction algorithm [18].
From an organizational point of view, TEEPI has been approved for being used
during the innovation process; it is currently used by the LCA expert. Each innovation is saved in a database that could be used as a case-base in order to use
knowledge management systems and generate good practices in eco-designing
products. Lastly, to make it easier for innovation leaders to take the environmental
dimension into account, they could use a version of TEEPI integrated into a
company’s intranet platform administrated by the LCA expert. This would help
innovation leaders to simulate several innovation options directly. However, a
necessary condition would be that innovation leaders have a good knowledge of life
cycle issues. The current version of TEEPI is the learning vector of this knowledge.
References
1. International Energy Agency, Key World Energy Statistics 2015, 2015.
2. European Parliament Council, Regulation No. 443/2009 of the European Parliament and of
the Council of 23 April 2009 setting emission performance standards for new passenger cars
378
J. Garcia et al.