Year: 2024

Park et al. (2024): Harnessing green tide Ulva biomass for carbon dioxide sequestration

Jihae Park, Hojun Lee, Jonas De Saeger, Stephen Depuydt, Jana Asselman, Colin Janssen, Philippe M. Heynderickx, Di Wu, Frederik Ronsse, Filip M. G. Tack, Masanori Hiraoka, Lalit K. Pandey, Ondrej Mašek, Yung Hung, Taejun Han IN: Reviews in Environmental Science and Bio/Technology,
https://doi.org/10.1007/s11157-024-09705-3

This review explores the potential repurposing of harmful Ulva blooms for carbon sequestration, addressing the critical global issue of CO2 emission. The authors conducted a comprehensive literature review and examined the conversion of shoreline Ulva biomass into biochar through pyrolysis, a process that can be implemented directly at biorefineries. This approach not only facilitates carbon sequestration but also mitigates greenhouse gas emissions and enhances soil quality through soil amendments.

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Shanin et al. (2024): Predicting the effect of climate change and management on net carbon sequestration in the forest ecosystems of the European part of Russia with the complex of models

Vladimir Shanin, Sergey Chumachenko, Pavel Frolov, Irina Priputina, Daria Tebenkova, Anna Kolycheva IN: Ecological Modelling, 496, 110835, https://doi.org/10.1016/j.ecolmodel.2024.110835

The authors have integrated several ecological models (dynamic stand model FORRUS-S, soil organic matter model Romul_Hum, statistical climate generator SCLISS and process-based forest ecosystem model EFIMOD3) to simulate the ecosystem dynamics at the regional level in several study areas within the forest zone of the European part of Russia. The simulation results reflected both the direct effects of climate change and forest management actions on ecosystem carbon pools, and the indirect effects through changes in species composition. The simulation experiments were spatially detailed at the level of individual forest management units, thereby revealing the influence of habitat conditions on the rate of carbon sequestration under the influence of environmental factors. 

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Möllersten et al. (2024): Demystifying carbon removals in the context of offsetting for sub-global net-zero targets

Kenneth Möllersten, Malin Dufour, Hanna-Mari Ahonen, Randall Spalding-Fecher IN: Carbon Management, https://doi.org/10.1080/17583004.2024.2390840

Assertions that the use of emission reduction credits (ERCs) is insufficient in the context of offsetting emissions for such claims at sub-global scales are gaining acceptance. Conversely, the authors show that regardless of whether offsetting is based on the use of ERCs or carbon removal credits (CRCs), the impact on the net transfer of GHG to the atmosphere is the same. Therefore, both ERCs and CRCs are adequate for offsetting with the purpose of achieving net-zero emissions or carbon neutrality.

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Wang & Li (2024): The impact of co-adsorbed water on energy consumption and CO2 productivity in direct air capture systems

Yongqiang Wang, Gang Kevin Li IN: Separation and Purification Technology, 354, 129415, https://doi.org/10.1016/j.seppur.2024.129415

Solid amine sorbents also adsorb a substantial amount of water from the air. However, a comprehensive understanding of how the co-adsorption of water affects the energy consumption and CO2 productivity of a DAC process has not yet been obtained. Here, employing a polyethylenimine-impregnated sorbent, the authors investigated the impact of co-adsorbed water on a temperature vacuum swing adsorption process designed for DAC.

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Sloot & Bostrom (2024): The role of framing in public support for direct air capture: A moral hazard survey experiment in the United States

Daniel Sloot, Ann Bostrom IN: Energy Research & Social Science, 116, 103694, https://doi.org/10.1016/j.erss.2024.103694

Building on previous research, the authors investigate four novel ways of framing the use of a form of carbon removal from the atmosphere that is currently of broad interest, direct air capture (DAC). They frame DAC use in terms of either necessity (DAC for limiting climate change being either essential or dependent on future mitigation) or temporality (DAC of either past or future emissions from the atmosphere). In a survey experiment with a nationally representative U.S. sample (N = 2891) the authors examined how these frames affect public support and risk perceptions in the U.S. for DAC, and the roles of prior awareness of DAC, climate change worry, and their interactions with the different frames. 

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PhD-thesis: Exploring the applicability of amine-containing metal-organic frameworks on direct air capture of carbon dioxide

Shreya Mahajan, University of Jyväskylä, http://urn.fi/URN:ISBN:978-952-86-0280-4

The thesis’s first section covers the most recent achievements made in developing MOFs for DAC potential. It provides a detailed account of structural approaches, examines MOFs’ DAC performance under different conditions, and discusses the CO2 adsorption pathways. The second section of the thesis encapsulates the key results published in three journal articles related to this work. The results and discussion section detail the preparation of an amino-triazole-based N-rich bent ligand and the structural determination of its sixteen new molecular salts, each assisted by different anions. Several characterization techniques were employed to fully understand these anion-templated supramolecular assemblies, which are self-assembled by a combination of noncovalent interactions, constituting different protonation sites and a versatile spectrum of conformations of the bent ligand.

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Li et al. (2024): Integration of Carbon Dioxide Removal (CDR) Technology and Artificial Intelligence (AI) in Energy System Optimization

Guanglei Li, Tengqi Luo, Ran Liu, Chenchen Song, Congyu Zhao,Shouyuan Wu, Zhengguang Liu IN: Processes, 12(2), https://doi.org/10.3390/pr12020402

This article provides a comprehensive review of the current state of research in this field and aims to highlight its potential implications with a clear focus on the integration of AI and CDR. Specifically, this paper outlines four main approaches for integrating AI and CDR: accurate carbon emissions assessment, optimized energy system configuration, real-time monitoring and scheduling of CDR facilities, and mutual benefits with mechanisms. By leveraging AI, researchers can demonstrate the positive impact of AI and CDR integration on the environment, economy, and energy efficiency. This paper also offers insights into future research directions and areas of focus to improve efficiency, reduce environmental impact, and enhance economic viability in the integration of AI and CDR technology.

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Presty et al. (2024): Mapping the landscape of carbon dioxide removal research: a bibliometric analysis

Romain Presty, Olivier Massol, Emma Jagu, Pascal da Costa IN: Environmental Research Letters, 19, DOI 10.1088/1748-9326/ad71e0

This study conducts an updated analysis of the international research effort on CDR from 2012 to 2023, examining 7893 publications using bibliometric techniques. The authors focus on the geographic distribution of technology-specific research and the funding driving this research. Significant publication growth is observed post-2015, particularly after 2018 and in 2023, driven primarily by the EU, China, and the US. Notably, biochar, afforestation/reforestation, and soil carbon sequestration are among the most researched CDR options, with direct air carbon capture and storage, bioenergy carbon capture and storage, and blue carbon also receiving substantial attention, especially in 2023. 

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Johnson et al: (2024): Can coastal and marine carbon dioxide removal help to close the emissions gap? Scientific, legal, economic, and governance considerations 

Martin Johnson, Erik van Doorn, Nathalie Hilmi, Christa Marandino, Natasha McDonald, Helmuth Thomas, Denis Allemand, L. Delvasto Algarin, Lara Lebleu, David T. Ho, Mary Oloyede, Alain Safa, Peter Swarzenski IN: Elementa: Science of the Anthropocene, https://doi.org/10.1525/elementa.2023.00071

In this Policy Bridge, the authors present the key issues regarding the safety, efficacy, funding, and governance of coastal and marine systems in support of climate change mitigation. Novel insights into the likely potential of these systems for use in mitigating excess carbon dioxide emissions are presented. There may be potential for coastal blue carbon and marine carbon dioxide removal (mCDR) actions to impact climate change mitigation significantly over the rest of the 21st century, particularly post 2050. However, governance frameworks are needed urgently to ensure that the potential contribution from coastal and ocean systems to climate change mitigation can be evaluated properly and implemented safely. Ongoing research and monitoring efforts are essential to ensure that unforeseen side effects are identified and corrective action is taken. The co-creation of governance frameworks between academia, the private sector, and policymakers will be fundamental to the safe implementation of mCDR in the future.

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Huang et al. (2024): Design of alkali metal oxide adsorbent for direct air capture: Identification of physicochemical adsorption and analysis of regeneration mechanism

Lecan Huang, Jinchen Ma, Fan Wang, Guorong Xu, Haibo Zhao IN: Carbon Capture Science & Technology, 13, 100268, https://doi.org/10.1016/j.ccst.2024.100268

This work carefully identifies CO2 physisorption and chemisorption by CaO/HcATP (CaO loaded on acid-modified attapulgite) as DAC adsorbent. It contributes to establishing fundamental principles for designing cost-effective DAC adsorbents.

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