Hu, Bin; Zhang, Yilun; Li, Yi; Teng, Yanguo; Yue, Weifeng (2020): Can bioenergy carbon capture and storage aggravate global water crisis? In Science of the Total Environment, p. 136856. DOI: 10.1016/j.scitotenv.2020.136856.

"A bottom-up analysis approach was applied in this paper to calculating water consumption for BECCS and estimating water quality deterioration caused by increasing fertilizer and pesticide application. The results indicated that water usage of BECCS was equal to adding 12.86%–16.64% (switchgrass) and 17.59%–26.06% (miscanthus) additional water stress on global available water resources at 2100. Additional N fertilizer application in 2100 would be equal to over 84%, 55% and 42% for both switchgrass and miscanthus under three CCS capture efficiency scenarios, respectively, comparing to such global scale in 2012."

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Klaus, Geraldine; Ernst, Andreas; Oswald, Lisa (2019): Psychological factors influencing laypersons’ acceptance of climate engineering, climate change mitigation and business as usual scenarios. In Technology in Society, p. 101222. DOI: 10.1016/j.techsoc.2019.101222.

"In July 2017, we assessed public reactions from the German population in a representative online survey. Participants were given a brief text informing them about climate change and one of four different scenarios in a between-subject design (N = 678). Two of the scenarios described the use of climate engineering technologies - stratospheric aerosol injection (SAI) and bio-energy with carbon capture and storage (BECCS) - one of them covered conventional mitigation strategies and the fourth group was given an outline of the business-as-usual (BAU) approach."

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Köberle, Alexandre C. (2019): The Value of BECCS in IAMs: a Review. In Current Sustainable/Renewable Energy Reports. DOI: 10.1007/s40518-019-00142-3.

"This paper examines the extent to which the value of BECCS in IAMs is enhanced by model structure constraints and assumptions."

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Butnar, Isabela, Pei-Hao Li, Neil Strachan, Joana Portugal Pereira, Ajay Gambhir, and Peter Smith (2019): A Deep Dive into the Modelling Assumptions for Biomass with Carbon Capture and Storage (BECCS): A Transparency Exercise. Environmental Research Letters, November. https://doi.org/10.1088/1748-9326/ab5c3e.

‌"Through a structured review, we find that all IAMs communicate wider system assumptions and major cost assumptions transparently. This quality however fades as we dig deeper into modelling details."

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