Session: 03-05 Efficiency Improvement and Carbon Footprint reduction in turbomachinery Systems

Paper Number: 153244

How Accurate Is Your Carbon Footprint? Measuring the Uncertainty With Pedigree Matrix in the Design of an Oxyfuel Combustion Gas Turbine 

Life Cycle Assessment (LCA) is a crucial tool for accurately analyze the environmental impact linked to complex and energy-intensive processes and machinery, such as gas turbine technology. However, the uncertainty of input data and in the modeling of the processes used can significantly influence the results of the quantified impact in emission for example the overall Carbon Footprint expressed in Kg CO2eq. This work describes an original methodology to assess the overall uncertainty on the carbon footprint of a product/process calculated through LCA by combining the Pedigree Matrixes of each process through a Monte Carlo approach. The Pedigree Matrix associates to every process considered in the Life Cycle Inventory phase 5 different typologies of uncertainty (namely reliability and completeness of data and their temporal, geographical and technological correlation) and a numerical value (1 to 5) which expresses the average uncertainty. The methodology was applied to a real case scenario in the design of an oxy fuel combustion turbine. Results show that the uncertainties of some input data can lead to significant variations in the results of more complex processes.

that are part of the total LCA of the product under study suggesting approaches to extrapolate and potentially reduce the individual most burdensome sources of error.

Presenting Author: Luca Fantaccione Baker Hughes

Presenting Author Biography: Luca Fantaccione is a mechanical engineer currently working as Gas Turbine Design Engineer in the Engine System Design team in Baker Hughes. He concentrates his research activity to evaluate and improve social and environmental performances of BH's products and processes following Eco-Design principles. He is also responsible for rotordynamics and clearance disciplines, following the design and the diagnostic of the engine along the entire supply chain.

Authors:

Tiziano Galmacci Università degli studi di Perugia
Luca Fantaccione Baker Hughes
Filippo Luzi Università degli studi di Perugia
Giacomo Verlezza Università degli Studi di Perugia
Giacomo Ragni Baker Hughes
Francesco Fantozzi Università degli studi di Perugia