Literature DB >> 28613998

Marginal abatement cost curve for nitrogen oxides incorporating controls, renewable electricity, energy efficiency, and fuel switching.

Daniel H Loughlin1, Alexander J Macpherson2, Katherine R Kaufman2, Brian N Keaveny2.   

Abstract

A marginal abatement cost curve (MACC) traces out the relationship between the quantity of pollution abated and the marginal cost of abating each additional unit. In the context of air quality management, MACCs are typically developed by sorting control technologies by their relative cost-effectiveness. Other potentially important abatement measures such as renewable electricity, energy efficiency, and fuel switching (RE/EE/FS) are often not incorporated into MACCs, as it is difficult to quantify their costs and abatement potential. In this paper, a U.S. energy system model is used to develop a MACC for nitrogen oxides (NOx) that incorporates both traditional controls and these additional measures. The MACC is decomposed by sector, and the relative cost-effectiveness of RE/EE/FS and traditional controls are compared. RE/EE/FS are shown to have the potential to increase emission reductions beyond what is possible when applying traditional controls alone. Furthermore, a portion of RE/EE/FS appear to be cost-competitive with traditional controls. IMPLICATIONS: Renewable electricity, energy efficiency, and fuel switching can be cost-competitive with traditional air pollutant controls for abating air pollutant emissions. The application of renewable electricity, energy efficiency, and fuel switching is also shown to have the potential to increase emission reductions beyond what is possible when applying traditional controls alone.

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Year:  2017        PMID: 28613998      PMCID: PMC6095130          DOI: 10.1080/10962247.2017.1342715

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  1 in total

1.  Will joint regional air pollution control be more cost-effective? An empirical study of China's Beijing-Tianjin-Hebei region.

Authors:  Dan Wu; Yuan Xu; Shiqiu Zhang
Journal:  J Environ Manage       Date:  2014-10-21       Impact factor: 6.789

  1 in total
  5 in total

1.  Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA.

Authors:  Wenjing Shi; Yang Ou; Steven J Smith; Catherine M Ledna; Christopher G Nolte; Daniel H Loughlin
Journal:  Appl Energy       Date:  2017-12-15       Impact factor: 9.746

2.  Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future.

Authors:  Samaneh Babaee; Daniel H Loughlin
Journal:  Clean Technol Environ Policy       Date:  2017-12-22       Impact factor: 3.636

3.  Estimation of abatement potentials and costs of air pollution emissions in China.

Authors:  Fenfen Zhang; Jia Xing; Yang Zhou; Shuxiao Wang; Bin Zhao; Haotian Zheng; Xiao Zhao; Huanzhen Chang; Carey Jang; Yun Zhu; Jiming Hao
Journal:  J Environ Manage       Date:  2020-01-18       Impact factor: 6.789

4.  Air pollution control strategies directly limiting national health damages in the US.

Authors:  Yang Ou; J Jason West; Steven J Smith; Christopher G Nolte; Daniel H Loughlin
Journal:  Nat Commun       Date:  2020-02-19       Impact factor: 14.919

5.  Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model.

Authors:  Yang Ou; Noah Kittner; Samaneh Babaee; Steven J Smith; Christopher G Nolte; Daniel H Loughlin
Journal:  Appl Energy       Date:  2021-10-15       Impact factor: 11.446

  5 in total

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