Sustainability assessment of large-scale storage technologies for surplus electricity using group multi-criteria decision analysis

2016 ◽  
Vol 19 (3) ◽  
pp. 689-703 ◽  
Author(s):  
Truc T. Q. Vo ◽  
Ao Xia ◽  
Fionn Rogan ◽  
David M. Wall ◽  
Jerry D. Murphy
PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256224
Author(s):  
Veljko Dubljevic ◽  
George List ◽  
Jovan Milojevich ◽  
Nirav Ajmeri ◽  
William A. Bauer ◽  
...  

The impacts of autonomous vehicles (AV) are widely anticipated to be socially, economically, and ethically significant. A reliable assessment of the harms and benefits of their large-scale deployment requires a multi-disciplinary approach. To that end, we employed Multi-Criteria Decision Analysis to make such an assessment. We obtained opinions from 19 disciplinary experts to assess the significance of 13 potential harms and eight potential benefits that might arise under four deployments schemes. Specifically, we considered: (1) the status quo, i.e., no AVs are deployed; (2) unfettered assimilation, i.e., no regulatory control would be exercised and commercial entities would “push” the development and deployment; (3) regulated introduction, i.e., regulatory control would be applied and either private individuals or commercial fleet operators could own the AVs; and (4) fleets only, i.e., regulatory control would be applied and only commercial fleet operators could own the AVs. Our results suggest that two of these scenarios, (3) and (4), namely regulated privately-owned introduction or fleet ownership or autonomous vehicles would be less likely to cause harm than either the status quo or the unfettered options.


Author(s):  
Kristine Ek ◽  
Alexandre Mathern ◽  
Rasmus Rempling ◽  
Lars Rosén ◽  
Christina Claeson-Jonsson ◽  
...  

<p>The construction of infrastructure projects represents a large sustainability impact, both positive and negative. Increased positive and reduced negative impacts can be achieved through better design and planning of the construction. To make more sustainable choices, well-defined predictive sustainability assessment methods are required. Multi-criteria decision analysis (MCDA) is a well- suited method for predictive sustainability assessment. This paper evaluates two MCDA methods for sustainability assessment of infrastructure construction and exemplifies their application with two case studies. The aim of this paper is to discuss if the methods are suitable for identifying the most sustainable alternative during the procurement process of an infrastructure project. It is recommended that MCDA methods are further developed to comply with the recently published EN standard on sustainability assessment of civil engineering works.</p>


2020 ◽  
Vol 12 (8) ◽  
pp. 3265 ◽  
Author(s):  
Julia Hansson ◽  
Selma Brynolf ◽  
Erik Fridell ◽  
Mariliis Lehtveer

To reduce the climate impact of shipping, the introduction of alternative fuels is required. There is a range of different marine fuel options but ammonia, a potential zero carbon fuel, has recently received a lot of attention. The purpose of this paper is to assess the prospects for ammonia as a future fuel for the shipping sector in relation to other marine fuels. The assessment is based on a synthesis of knowledge in combination with: (i) energy systems modeling including the cost-effectiveness of ammonia as marine fuel in relation to other fuels for reaching global climate targets; and (ii) a multi-criteria decision analysis (MCDA) approach ranking marine fuel options while considering estimated fuel performance and the importance of criteria based on maritime stakeholder preferences. In the long-term and to reach global GHG reduction, the energy systems modeled indicate that the use of hydrogen represents a more cost-effective marine fuel option than ammonia. However, in the MCDA covering more aspects, we find that ammonia may be almost as interesting for shipping related stakeholders as hydrogen and various biomass-based fuels. Ammonia may to some extent be an interesting future marine fuel option, but many issues remain to be solved before large-scale introduction.


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