scholarly journals BiVO<sub>4</sub>/MnO<sub>2</sub> Composite Photocatalytic Material for the Shale Gas Flowback Wastewater Treatment

2021 ◽  
Vol 9 (3) ◽  
pp. 68
Author(s):  
Yanling Liu ◽  
Zhengxin Yang ◽  
Longjun Xu ◽  
Chenglun Liu ◽  
Teng Zhang ◽  
...  
Author(s):  
Raquel Salcedo-Díaz ◽  
Rubén Ruiz-Femenia ◽  
Alba Carrero-Parreño ◽  
Viviani C. Onishi ◽  
Juan A. Reyes-Labarta ◽  
...  

2016 ◽  
Vol 30 (4) ◽  
pp. 441-447
Author(s):  
Hyeongrak Cho ◽  
◽  
Yongjun Choi ◽  
Sangho Lee

2020 ◽  
Vol 12 (4) ◽  
pp. 1686 ◽  
Author(s):  
José A. Caballero ◽  
Juan A. Labarta ◽  
Natalia Quirante ◽  
Alba Carrero-Parreño ◽  
Ignacio E. Grossmann

This paper introduces a comprehensive study of the Life Cycle Impact Assessment (LCIA) of water management in shale gas exploitation. First, we present a comprehensive study of wastewater treatment in the shale gas extraction, including the most common technologies for the pretreatment and three different desalination technologies of recent interest: Single and Multiple-Effect Evaporation with Mechanical Vapor Recompression and Membrane Distillation. The analysis has been carried out through a generic Life Cycle Assessment (LCA) and the ReCiPe metric (at midpoint and endpoint levels), considering a wide range of environmental impacts. The results show that among these technologies Multiple-Effect Evaporation with Mechanical Vapor Recompression (MEE-MVR) is the most suitable technology for the wastewater treatment in shale gas extraction, taking into account its reduced environmental impact, the high water recovery compared to other alternatives as well as the lower cost of this technology. We also use a comprehensive water management model that includes previous results that takes the form of a new Mixed-Integer Linear Programming (MILP) bi-criterion optimization model to address the profit maximization and the minimization Life Cycle Impact Assessment (LCIA), based on its results we discuss the main tradeoffs between optimal operation from the economic and environmental points of view.


2016 ◽  
Vol 25 (5) ◽  
pp. 1839-1845 ◽  
Author(s):  
Maria Bartoszewicz ◽  
Małgorzata Michalska ◽  
Monika Cieszyńska-Semenowicz ◽  
Radosław Czernych ◽  
Lidia Wolska

2019 ◽  
Vol 11 (18) ◽  
pp. 4865 ◽  
Author(s):  
Al-Aboosi ◽  
El-Halwagi

The production of shale gas and oil is associated with the generation of substantial amounts of wastewater. With the growing emphasis on sustainable development, the energy sector has been intensifying efforts to manage water resources while diversifying the energy portfolio used in treating wastewater to include fossil and renewable energy. The nexus of water and energy introduces complexity in the optimization of the water management systems. Furthermore, the uncertainty in the data for energy (e.g., solar intensity) and cost (e.g., price fluctuation) introduce additional complexities. The objective of this work is to develop a novel framework for the optimizing wastewater treatment and water-management systems in shale gas production while incorporating fossil and solar energy and accounting for uncertainties. Solar energy is utilized via collection, recovery, storage, and dispatch of heat. Heat integration with an adjacent industrial facility is considered. Additionally, electric power production is intended to supply a reverse osmosis (RO) plant and the local electric grid. The optimization problem is formulated as a multi-scenario mixed integer non-linear programming (MINLP) problem that is a deterministic equivalent of a two-stage stochastic programming model for handling uncertainty in operational conditions through a finite set of scenarios. The results show the capability of the system to address water-energy nexus problems in shale gas production based on the system’s economic and environmental merits. A case study for Eagle Ford Basin in Texas is solved by enabling effective water treatment and energy management strategies to attain the maximum annual profit of the entire system while achieving minimum environmental impact.


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