Life cycle water footprint analysis for second-generation biobutanol

2021 ◽  
pp. 125203
Author(s):  
Guang Li ◽  
Shuqi Ma ◽  
Xiaoxiao Xue ◽  
Shicheng Yang ◽  
Fan Liu ◽  
...  
2015 ◽  
Vol 101 ◽  
pp. 271-277 ◽  
Author(s):  
Chung Chia Chiu ◽  
Wei-Jung Shiang ◽  
Chiuhsiang Joe Lin ◽  
Ching-Huei Wang ◽  
Der-Ming Chang

2017 ◽  
Vol 5 (5) ◽  
pp. 3845-3854 ◽  
Author(s):  
Rui Shi ◽  
Suchada Ukaew ◽  
David W. Archer ◽  
Joon Hee Lee ◽  
Matthew N. Pearlson ◽  
...  

2021 ◽  
Vol 256 ◽  
pp. 107079
Author(s):  
Yijie Zhai ◽  
Tianzuo Zhang ◽  
Xiaotian Ma ◽  
Xiaoxu Shen ◽  
Changxing Ji ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 803
Author(s):  
Winnie Gerbens-Leenes ◽  
Markus Berger ◽  
John Anthony Allan

Considering that 4 billion people are living in water-stressed regions and that global water consumption is predicted to increase continuously [...]


2021 ◽  
Vol 122 ◽  
pp. 107319
Author(s):  
Wei Chen ◽  
Jinglan Hong ◽  
Chengxin Wang ◽  
Lu Sun ◽  
Tianzuo Zhang ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jun Li ◽  
Fengyin Xiong ◽  
Zhuo Chen

AbstractBiomass gasification, especially distribution to power generation, is considered as a promising way to tackle global energy and environmental challenges. However, previous researches on integrated analysis of the greenhouse gases (GHG) abatement potentials associated with biomass electrification are sparse and few have taken the freshwater utilization into account within a coherent framework, though both energy and water scarcity are lying in the central concerns in China’s environmental policy. This study employs a Life cycle assessment (LCA) model to analyse the actual performance combined with water footprint (WF) assessment methods. The inextricable trade-offs between three representative energy-producing technologies are explored based on three categories of non-food crops (maize, sorghum and hybrid pennisetum) cultivated in marginal arable land. WF results demonstrate that the Hybrid pennisetum system has the largest impact on the water resources whereas the other two technology options exhibit the characteristics of environmental sustainability. The large variances in contribution ratio between the four sub-processes in terms of total impacts are reflected by the LCA results. The Anaerobic Digestion process is found to be the main contributor whereas the Digestate management process is shown to be able to effectively mitigate the negative environmental impacts with an absolute share. Sensitivity analysis is implemented to detect the impacts of loss ratios variation, as silage mass and methane, on final results. The methane loss has the largest influence on the Hybrid pennisetum system, followed by the Maize system. Above all, the Sorghum system demonstrates the best performance amongst the considered assessment categories. Our study builds a pilot reference for further driving large-scale project of bioenergy production and conversion. The synergy of combined WF-LCA method allows us to conduct a comprehensive assessment and to provide insights into environmental and resource management.


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