Comparison between conventional solvothermal and aqueous solution-based production of UiO-66-NH2: Life cycle assessment, techno-economic assessment, and implications for CO2 capture and storage

Luo, H.; Cheng, Fangwei; Huelsenbeck, Luke; Smith, Natalie

doi:10.1016/j.jece.2021.105159

Cited by 42 publications

(23 citation statements)

References 80 publications

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“…The internet generates about 3.7% of global greenhouse emissions [1], such as 0.3 g CO 2 per spam email, 50 g CO 2 per email with an attachment [19], and 1.76 g CO 2 per uses of web browser per page view, respectively [20]. The studies found that having one hour of video conference produces approximately 43 kg CO 2 [21] and watching online videos generates 300 million tonnes of CO 2 a year [22]. In of 2019, 34 billion pieces of equipment with 4.1 billion internet users in the world, generated 1400 million tons of greenhouse gases and used 6800 TWh energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon Footprint of The Most Popular Social Media Platforms

Batmunkh

2022

Sustainability

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The advent of easily accessible technology, e-commerce, online streaming, and social networking platforms has led to massive amounts of data being stored and processed every second. The IT infrastructures needed to support this digital age consume a large amount of energy and have a negative impact on the environment. There have been several different efforts to estimate the carbon footprint of the internet, but there is no proven exact method for it. Therefore, the goals of this paper are, first—to critically review the carbon emission calculation methods and compare the results, and second—to publicize the environmental impact of our daily simple habit of internet usage. We calculated the carbon footprint of the most popular four online services (TikTok, Facebook, Netflix, and YouTube) by using top-cited methods such those from Obringer, the Shift Project, Andrae, and Hintemann and Hinterholze. When comparing the emitted carbon dioxide, the weighted average of online video streaming usage per day is 51 times more than 14 h of an airplane ride. Netflix generates the highest CO2 emissions among the four applications due to its high-resolution video delivery and its number of users.

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Section: Literature Reviewmentioning

confidence: 99%

Carbon Footprint of The Most Popular Social Media Platforms

Batmunkh

2022

Sustainability

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“…More specifically, when NH 4 OH was used, the environmental impacts were less, in comparison to the process when NaOH was used [39]. Luo et al assessed the environmental and economic performance of two different routes for UiO-66-NH 2 synthesis concluding that the water-based product has significant environmental benefits [40]. In another study, MOF materials were assessed via a cradle-to-gate life-cycle assessment of four different synthesis protocols.…”

Section: Life Cycle Assessment Of Nanomaterialsmentioning

confidence: 99%

“…The aforementioned assumptions regarding amounts of mass and time considered in this work are based on common synthetic procedures reported in the literature. Finally, since there are no data available on ZIF-8 scale up industrial processes to produce 1 kg of ZIF-8, the methodology followed for the calculation of energy demand for the synthesis of 1 kg of ZIF-8 is based on the work of Luo et al [40].…”

Section: Life Cycle Inventory Analysismentioning

confidence: 99%

Life Cycle Assessment on Different Synthetic Routes of ZIF-8 Nanomaterials

et al. 2021

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In the last twenty years, research activity around the environmental applications of metal–organic frameworks has bloomed due to their CO2 capture ability, tunable properties, porosity, and well-defined crystalline structure. Thus, hundreds of MOFs have been developed. However, the impact of their production on the environment has not been investigated as thoroughly as their potential applications. In this work, the environmental performance of various synthetic routes of MOF nanoparticles, in particular ZIF-8, is assessed through a life cycle assessment. For this purpose, five representative synthesis routes were considered, and synthesis data were obtained based on available literature. The synthesis included different solvents (de-ionized water, methanol, dimethylformamide) as well as different synthetic steps (i.e., hours of drying, stirring, precursor). The findings revealed that the main environmental weak points identified during production were: (a) the use of dimethylformamide (DMF) and methanol (MeOH) as substances impacting environmental sustainability, which accounted for more than 85% of the overall environmental impacts in those synthetic routes where they were utilized as solvents and as cleaning agents at the same time; (b) the electricity consumption, especially due to the Greek energy mix which is fossil-fuel dependent, and accounted for up to 13% of the overall environmental impacts in some synthetic routes. Nonetheless, for the optimization of the impacts provided by the energy use, suggestions are made based on the use of alternative, cleaner renewable energy sources, which (for the case of wind energy) will decrease the impacts by up to 2%.

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“…Increasing the MOF yield by a factor of 30% had a negligible impact on production cost in comparison to using a less solvent-intensive pathway. In another study, Luo et al 33 compared traditional solvothermal synthesis with an aqueous pathway to produce UiO-66-NH 2 and found that omitting solvents from the synthesis of this MOF resulted in an 83.8% reduction in production cost. The key properties that influenced production cost were solvent, organic linker, and inorganic MOF precursors.…”

Section: Property Identification and Parsingmentioning

confidence: 99%

DigiMOF: A Database of MOF Synthesis Information Generated via Text Mining

Gubsch

Bence

Glasby

et al. 2022

Preprint

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The vastness of materials space, particularly that which is concerned with metal-organic frameworks (MOFs), creates the critical problem of performing efficient identification of promising materials for specific applications. Although high-throughput computational approaches, including the use of machine learning, have been useful in rapid screening and rational design of MOFs, they tend to neglect descriptors related to their synthesis. One way to improve the efficiency of MOF discovery is to data mine published MOF papers to extract the materials informatics knowledge contained within the journal articles. Here, by adapting the chemistry-aware natural language processing tool, ChemDataExtractor (CDE), we generated an open-source database of MOFs focused on their synthetic properties: the DigiMOF database. Using the CDE web scraping package alongside the Cambridge Structural Database (CSD) MOF subset, we automatically downloaded 43,281 unique MOF journal articles, extracted 15,501 unique MOF materials and text mined over 52,680 associated properties including synthesis method, solvent, organic linker, metal precursor, and topology. This centralised, structured database reveals the MOF synthetic data embedded within thousands of MOF publications. The DigiMOF database and associated software are publicly available for other researchers to conduct further analysis of alternative MOF production pathways and create additional parsers to search for other desirable properties.

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Comparison between conventional solvothermal and aqueous solution-based production of UiO-66-NH2: Life cycle assessment, techno-economic assessment, and implications for CO2 capture and storage

Cited by 42 publications

References 80 publications

Carbon Footprint of The Most Popular Social Media Platforms

Carbon Footprint of The Most Popular Social Media Platforms

Life Cycle Assessment on Different Synthetic Routes of ZIF-8 Nanomaterials

DigiMOF: A Database of MOF Synthesis Information Generated via Text Mining

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