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Metal-Organic Frameworks for Post-Combustion Carbon Capture - A Life Cycle Assessment

Gu, Xiangming
http://orcid.org/0000-0001-9096-5911
http://rave.ohiolink.edu/etdc/view?acc_num=osu152415298686088

Abstract Details

2018, Master of Science, Ohio State University, Chemical Engineering.
As the energy related activities turn out to be the “culprits” for CO2 emissions, the post combustion capture (PCC) technology has been regarded as a potential solution for carbon footprint mitigation. For this purpose, metal-organic frameworks (MOFs) have been regarded to provide opportunities as a more energy-efficient alternative to the conventional sorbent e.g. monoethanolamine owing to its high selectivity for CO2 and hydrothermal stability. In recent decades, efforts have been focused on two perspectives: cutting down the energy use per adsorption cycle and enhancing the working capacity. Thus, most of current researchers have defined their system boundary by only incorporating the adsorption and desorption phase. Within this study, a comprehensive life cycle model is developed to capture the overall environmental impacts of which does include the manufacturing, adsorption, desorption, and compression phase. To provide a systematic guide for material engineers, chemical engineers or even policy makers, different types of MOFs are considered and modelled in terms of various impact categories. In this study, we found that using MOF-74s as CO2 sorbents is more attractive than other MOFs that were analyzed such as ZIF-79, ZIF-81, PPN-6-DETA. To reduce the life cycle environmental impacts of MOFs, we investigated a series of factors at three levels: parameters, unit processes, and reaction stages. From each of them, we identified several contributors to the overall environmental impacts. In the case of unit process, several candidates of precursors were identified based on a hotspot analysis. Besides, use of dimethylformamide (DMF) was also found to contribute to the high life cycle impact, so seeking alternatives or improving efficiency of use are needed. Combining conventional LCA with machine learning (ML) yielded some preliminary heuristics for sustainable design of MOFs that have a smaller life cycle impact. One such heuristic is that MOFs with parasitic energy consumption larger than 947 MJ/t CO2 tend to have a larger life cycle environmental impact, making them less attractive.
Bhavik Bakshi (Advisor)
54 p.
Chemical Engineering
post combustion capture; metal-organic framework; machine learning; life cycle assessment

Recommended Citations

Citations

  • Gu, X. (2018). Metal-Organic Frameworks for Post-Combustion Carbon Capture - A Life Cycle Assessment [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu152415298686088

    APA Style (7th edition)

  • Gu, Xiangming. Metal-Organic Frameworks for Post-Combustion Carbon Capture - A Life Cycle Assessment. 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu152415298686088.

    MLA Style (8th edition)

  • Gu, Xiangming. "Metal-Organic Frameworks for Post-Combustion Carbon Capture - A Life Cycle Assessment." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu152415298686088

    Chicago Manual of Style (17th edition)

osu152415298686088
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This open access ETD is published by The Ohio State University and OhioLINK.
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