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The mean life cycle GHG emissions from wind electricity generation systems were noted to decrease with an increase in the CF, the cycle time period considerations for the infrastructure, and the power rating of the wind electricity generation systems.
The mean life cycle GHG emissions from HAWT-ON-S, HAWT-ON-I, HAWT-ON-L, HAWT-OFF-L, and VAWT-ON-S wind electricity generation systems were computed to be 38.67, 11.75, 15.98, 12.9, and 46.4 gCO2e/kWh, respectively.
The mean life cycle GHG emissions were noted to be higher in the case of onshore wind electricity generation systems than the offshore wind electricity generation systems (refer to Fig. 1a; Table 2).
From Fig. 1a and Table 2, one may note that the mean life cycle GHG emissions obtained from the use of HAWT-ON-S, HAWT-ON-I, HAWT-ON-L, HAWT-OFF-L, and VAWT-ON-S wind electricity generation systems are 38.67, 11.75, 15.98, 12.9, and 46.4 gCO2e/kWh, respectively.
It is shorter for SIV, with a mean life cycle of 9.4 hours [79].
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The extended exergy analysis method, taking into account the mean life time cycle of building, has been applied to evaluate the sustainability of an urban area.
Their feasibility from an environmental point of view can be assessed by means of life cycle analysis (LCA).
Additive manufacturing (Selective Laser Sintering), machining, and forming processes are analyzed and compared by means of Life Cycle Assessment techniques.
This means that life cycle data are taken only from one source [23] whenever possible, SPI-related data where taken only from the SPIonExcel (homepage: http://spionweb.tugraz.at).
Finally, this new system was investigated by means of life cycle analysis coupled with the net present value (NPV) from the economic point of view.
Two lithium-ion batteries, both based on lithium iron phosphate, but using different solvents during cell manufacturing, were studied by means of life cycle assessment, LCA.
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