ENVIRONMENTAL CRITERIA IN A DECISION SUPPORT SYSTEM FOR SURFACE IRRIGATION DESIGN

2003 ◽  
pp. 123-131
2009 ◽  
Author(s):  
José Manuel Monteiro Gonçalves ◽  
André Pereira Muga ◽  
Luis Santos Pereira

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1546 ◽  
Author(s):  
Eric Santos-Clotas ◽  
Alba Cabrera-Codony ◽  
Alba Castillo ◽  
Maria Martín ◽  
Manel Poch ◽  
...  

Biogas production is a growing market and the existing conversion technologies require different biogas quality and characteristics. In pursuance of assisting decision-makers in biogas upgrading an environmental decision support system (EDSS) was developed. Since the field is rapidly progressing, this tool is easily updatable with new data from technical and scientific literature through the knowledge acquisition level. By a thorough technology review, the diagnosis level evaluates a wide spectrum of technologies for eliminating siloxanes, H2S, and CO2 from biogas, which are scored in a supervision level based upon environmental, economic, social and technical criteria. The sensitivity of the user towards those criteria is regarded by the EDSS giving a response based on its preferences. The EDSS was validated with data from a case-study for removing siloxanes from biogas in a sewage plant. The tool described the flow diagram of treatment alternatives and estimated the performance and effluent quality, which matched the treatment currently given in the facility. Adsorption onto activated carbon was the best-ranked technology due to its great efficiency and maturity as a commercial technology. On the other hand, biological technologies obtained high scores when economic and environmental criteria were preferred. The sensitivity analysis proved to be effective allowing the identification of the challenges and opportunities for the technologies considered.


2016 ◽  
Vol 22 (2) ◽  
pp. 225-250 ◽  
Author(s):  
Vimal KEK ◽  
Vinodh S. ◽  
Brajesh P. ◽  
Muralidharan R.

Purpose Rapid prototyping (RP) has been given focus during dynamic market conditions, as it largely helps to compress product development time. RP contains the potential to achieve environmentally friendlier operations. However, RP processes are not environmentally friendlier, as the possibilities of toxicological health and environmental risks while handling and disposing of raw material remain unresolved. This study aims to select environmentally friendlier processes without compromising required mechanical properties. Some of the RP processes considered in this study are selective laser sintering (SLS), stereo lithography apparatus (SLA), three-dimensional printing (3DP) and laser engineered net shaping (LENS). Design/methodology/approach A conceptual model comprising 25 criteria (both traditional and environmental) has been developed. An expert team was formed to evaluate the environmental performance of RP processes using the developed conceptual model. Analytic network process–technique for order preference by similarity to an ideal solution-based hybrid methodology has been adopted for this purpose. Further, to overcome ambiguity and subjectivity nature of judgment, fuzzy set concepts have been adopted. Finally, a decision support system has been developed using MATLAB software to mitigate the associated computational difficulty. Findings The detailed analysis of criterion weights revealed that the expert team has assigned higher importance to environmental criteria over traditional criteria. Based on environmental considerations, ranking has been generated as SLA-SLS-3DP-LENS. Research limitations/implications Only point-to-point and discrete fusion-based RP process have been considered in this study to demonstrate the developed conceptual model. Also, expert knowledge has been taken to rate some of the environmental criteria. In the near future, by conducting environmental studies, these criteria can be substituted with real data to improve accuracy of RP process selection. Originality/value Reported studies in RP process selection in literature were conducted considering mainly the various traditional criteria. In this study, the environmental criteria have also been considered along with traditional criteria. This study takes the initiative toward sustainability studies in RP processes. Also, detailed inferences have been derived and the results have been compared with the existing studies and this is the novel contribution of this study.


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