scholarly journals Continuous flow adsorption of phenolic compounds from olive mill wastewater with resin XAD16N: life cycle assessment, cost–benefit analysis and process optimization

2019 ◽  
Vol 94 (6) ◽  
pp. 1968-1981 ◽  
Author(s):  
Dario Frascari ◽  
Aurora Esther Molina Bacca ◽  
Tjerk Wardenaar ◽  
Emmanuel Oertlé ◽  
Davide Pinelli
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Phenolic Compounds ◽  
Process Optimization ◽  
Continuous Flow ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Olive Mill Wastewater ◽  
Benefit Analysis ◽  
Olive Mill

Hybrid solar-seaweed biorefinery for co-production of biochemicals, biofuels, electricity, and water: Thermodynamics, life cycle assessment, and cost-benefit analysis

2021 ◽  
Vol 246 ◽  
pp. 114679
Author(s):  
Alexander Golberg ◽  
Mark Polikovsky ◽  
Michael Epstein ◽  
Petronella Margaretha Slegers ◽  
Dušan Drabik ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis

scholarly journals The Social Cost of Sub-Soil Resource Use

Resources ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 19 ◽  
Author(s):  
Tom Huppertz ◽  
Bo Weidema ◽  
Simon Standaert ◽  
Bernard De Caevel ◽  
Elisabeth van Overbeke
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Discount Rate ◽  
Social Cost ◽  
Cost Benefit Analysis ◽  
Market Price ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Hotelling Rule ◽  
The Social

This paper presents a market-price-based method to value sub-soil resources in environmental Cost-Benefit Analysis and Life Cycle Assessment. The market price incorporates the privileged information of the market agents, explicitly or implicitly anticipating future applications of the resource, future backstop technologies, recycling potentials, the evolution of reserves and extraction costs. The market price is therefore considered as the best available integrated information reflecting the actual values of these parameters. Our method is based on the Hotelling rule and the fact that private agents discount future costs and benefits at a higher rate than society as a whole. In practice, the price of the last resource unit sold is calculated with the Hotelling rule using a market discount rate. Then, the price at depletion is retropolated with a social discount rate smaller than the market discount rate. The resulting corrected “socially optimal” price is higher than the market price. The method allows to calculate the social cost of resource exhaustion, which is applicable in Cost-Benefit Analysis and Life Cycle Assessment. The method is applied to mineral and fossil resources and the results are compared with other recent methods that seek to place a monetary value on resource depletion.

scholarly journals Multi-Criteria, Cost-Benefit, and Life-Cycle Analyses for Decision-Making to Support Responsible, Sustainable, and Alternative Tourism

2019 ◽  
Vol 11 (4) ◽  
pp. 1038
Author(s):  
Fabio Zagonari
Keyword(s):  
Decision Making ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Cultural Dynamics ◽  
Dynamic Approach ◽  
Dynamic Framework ◽  
Alternative Tourism ◽  
Management Recommendations

This paper combines the most popular tourism typologies or goals (i.e., RT, responsible tourism, to represent impact minimisation; ST, sustainable tourism, to represent welfare maximisation; AT, alternative tourism, to represent continuity maximisation) and decision-making methodologies (i.e., MCA, multi-criteria analysis; CBA, cost-benefit analysis; WLCA, weighted life-cycle assessment; MLCA, monetary life-cycle assessment) in a single dynamic framework to operationally match the former with the latter. Normative insights show that MCA and WLCA are most suitable for RT and AT, respectively, whereas CBA and MLCA are most suitable for ST. Management recommendations (i.e., if a wrong static instead of a right dynamic approach must be adopted due to a lack of data, once chosen a tourism typology or goal, ST is the best in terms of level, correlation and likelihood of errors) are provided, and policy recommendations (i.e., if a right dynamic approach is adopted, in choosing among tourism typologies or goals, AT is the best in terms of precaution, ST is the best in terms of correlation, and RT is the best in terms of risk of investments) are suggested for a case study characterized by negative environmental and cultural dynamics. Positive insights show that two and many papers have applied WLCA and MLCA, respectively, to RT, but they did not account for cultural features; many papers have applied CBA to ST, but only one paper applied MLCA; few and no papers have applied MCA and WLCA, respectively, to AT.

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