Abstract

The economic impact of CO2 emissions reduction requirements demands strategic planning to identify low-cost CO2 mitigation pathways from combinations of the many available CO2 emissions reduction options. Different tools have been developed to plan minimal cost CO2 reduction pathways taking into consideration various options such as CO2 capture, utilization, and sequestration (CCUS), shifting from fossil to renewable energy sources, as well as adopting sector-specific low emissions technologies. Current methods used to support strategic planning include high-level tools that cannot account for many possible options or fail to incorporate cost objective, and complex optimization approaches that are capable of identifying detailed low-cost solutions yet are demanding to use and often yield complex solutions in terms of processing schemes that are not easily understood by strategic planners. To address these limitations, a simple and clear methodology is proposed that allows to determine minimum cost CO2 reduction pathways from the rich set of available options. The novel methodology employs an algebraic targeting technique that yields minimum marginal abatement cost (Mini-MAC) curves to clearly represent the low-cost CO2 emissions reduction pathway available. The application of the methodology is illustrated with an example to develop minimum cost emissions reduction pathways considering CCUS, power shifting options, and negative emissions technologies. The benefits of the proposed Mini-MAC curves over alternative methods stem from their richness in terms of assessing CCUS, energy management options, and various integration options. Further, the clarity of the proposed Mini-MAC curves enables planners to easily understand available minimum cost pathways when developing strategies aimed at achieving low-cost CO2 emissions reduction.Graphical abstract

Highlights

  • Carbon dioxide (­CO2) is the major greenhouse gas (GHG) constituting about 75% of the total GHG emissions (EPA 2014)

  • The proposed method follows an algebraic analysis approach to determine the minimum cost associated with a net ­CO2 reduction and the optimal pathways to implement among the existing options

  • Note that for some options, the profit generated from the sink exceeds the cost required for capturing the ­CO2 stream from the source. This would result in a negative marginal abatement cost (MAC) and a negative NC indicating that such option is profitable, and it will be accompanied by net profit

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Summary

List of symbols

S The set of ­CO2 sources d The set of ­CO2 sink E The set of power generating options si CO2 capture efficiency at source si Fsi CO2 flowrate allocated by source si to the ­CO2 network. Fc-si CO2 flowrate of the original emissions stream fed into the capture process by source si si Energy-related emissions factor for ­CO2 capture from source si dj Net ­CO2 fixation efficiency in sink dj Fdj CO2 flow received by sink dj

Csdij sTihaendspseicnikficdjctoostthoef network supplying
Introduction
Problem statement
Algebraic targeting method
Energy Source Energy
Captured Emissions
Targeting algorithm
All sinks are full?
Ffix F
Power Pij
Illustrative examples
Industrial combustion
Coal power plant Gas power plant
Solar to
Coal to Solar switching
NET Option
Findings
MEOH Steel
Full Text
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