Peer-Reviewed Journal Details
Mandatory Fields
O'Shea, R;Lin, RC;Wall, DM;Murphy, JD
2022
October
The Journal of Cleaner Production
Assessing decarbonisation pathways in the food and beverage sector: A multi-criteria decision analysis approach
Validated
WOS: 1 ()
Optional Fields
AVAILABLE TECHNIQUES BAT SENSITIVITY-ANALYSIS WASTE MANAGEMENT SUSTAINABILITY OPTIONS UK OPTIMIZATION PRIORITIES SELECTION VIKOR
371
Decarbonisation pathways for the food and beverage sector are focused at a national, regional, or sectoral level. There is a lack of literature which assesses decarbonisation pathways at a facility level and which compares pathways using Multi-Criteria Decision Analysis (MCDA). This work assesses the economic and environmental performance of 21 decarbonisation pathways which could be implemented at a facility in the food and beverage sector using 5 MCDA methods. Four sets of criteria weights (equal criteria weights, economic focus, environ-mental focus, and subjective weights of facility management) are applied to compare the results obtained. The best pathway (Pathway no. 15: Boiler-combined heat and power, organic Rankine cycle (CHP ORC) - mechanical vapour recompression (MVR)) for equal criteria weights or an economic focus achieves the best net present value, reduces emissions by 43%, has the shortest payback period, and the lowest levelised cost of abatement. Pathway no. 14 (38 kV - MVR - biogas) (recommended for an environmental focus) enables a 100% reduction in GHG emissions but achieves the third worst net present value. Pathway no. 20 (Boiler - CHP ORC - MVR - Biogas) is recommended when using subjective weights and has the best levelised cost of abatement for any pathway that reduces emissions by 100%. However, pathway no. 20 has a negative net present value, a payback period greater than 20 years, and a high CAPEX spend per mass of tCO(2)eq saved. To achieve GHG emissions savings greater than 67%, biogas from the anaerobic digestion of distillery feed products is required.
OXFORD
0959-6526
10.1016/j.jclepro.2022.133534
Grant Details