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Assessing deployment pathways for greenhouse gas emissions reductions in an industrial plant – A case study for a complex oil refinery

This study developed an integrated method to identify deployment pathways for greenhouse gas emissions reductions in an industrial plant. The approach distinguishes itself by assessing the techno-economic performance of combinations of mitigation options at the level of core processes of an industrial plant. Thus, synergies between mitigation options like economies of scale and negative interactions, such as overlap in emission reduction potential, are incorporated, resulting in more realistic insights into costs and associated risks. The method was successfully applied to a large petroleum refinery (similar to 4.1 MtCO(2)/y) in northwest Europe. The studied mitigation routes are: energy efficiency measures, carbon capture and storage, fast pyrolysis of woody biomass to produce infrastructure-ready transportation fuels, and gasification of torrefied wood pellets to produce electricity, hydrogen and/or Fischer-Tropsch fuels. Four deployment pathways were examined, all starting with energy efficiency measures and followed by (1) oxyfuel combustion capture, (2) post-combustion capture, (3) biomass gasification, or (4) biomass gasification with carbon capture and storage. Pathway 4 is most cost-effective under medium assumptions, regardless of the emissions reduction target, and allows for deep emissions reductions (6.3 MtCO(2)-eq/y; 154% reduction compared to the 2012 base case). For a 75% emissions reduction target, the average avoidance cost of pathway 4 is around -25 is an element of(2012)/tCO(2)-eq. In comparison, the second most cost-effective pathway (1) was evaluated at average avoidance cost of -5 is an element of(2012)/tCO(2).eq. However, the ranking of the pathways in terms of avoidance cost depends heavily on future energy prices.
- University of Groningen Netherlands
- College of New Jersey United States
- Utrecht University Netherlands
Monitoring, POTENTIALS, Management, Monitoring, Policy and Law, PART B, Energy(all), Techno-economic, BIOMASS ENERGY, Taverne, Industry, INFRASTRUCTURE CONFIGURATIONS, SDG 7 - Affordable and Clean Energy, Biomass, Policy and Law, ENERGY EFFICIENCY, Mechanical Engineering, SCALE CO2 CAPTURE, FACILITIES, Building and Construction, HYDROGEN, Refinery, CCS, Management, General Energy, Energy efficiency, To be checked by Faculty, ABATEMENT, TECHNOECONOMIC PERFORMANCE
Monitoring, POTENTIALS, Management, Monitoring, Policy and Law, PART B, Energy(all), Techno-economic, BIOMASS ENERGY, Taverne, Industry, INFRASTRUCTURE CONFIGURATIONS, SDG 7 - Affordable and Clean Energy, Biomass, Policy and Law, ENERGY EFFICIENCY, Mechanical Engineering, SCALE CO2 CAPTURE, FACILITIES, Building and Construction, HYDROGEN, Refinery, CCS, Management, General Energy, Energy efficiency, To be checked by Faculty, ABATEMENT, TECHNOECONOMIC PERFORMANCE
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).59 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
