Thermo-economic and environmental optimization of a solar-driven zero-liquid discharge system for shale gas wastewater desalination

被引:20
|
作者
Onishi, Viviani C. [1 ]
Manesh, Mohammad H. Khoshgoftar [2 ,3 ]
Salcedo-Diaz, Raquel [4 ]
Ruiz-Femenia, Ruben [4 ]
Labarta, Juan A. [4 ]
Caballero, Jose A. [4 ]
机构
[1] Edinburgh Napier Univ, Sch Engn & Built Environm, 10 Colinton Rd, Edinburgh EH10 5DT, Midlothian, Scotland
[2] Univ Qom, Fac Technol & Engn, Div Thermal Sci & Energy Syst, Dept Mech Engn,Energy Environm & Biol Res Lab EEB, Qom, Iran
[3] Ctr Environm Res, Qom, Iran
[4] Univ Alicante, Inst Chem Proc Engn, BO-03080 Alicante, Spain
关键词
Optimization; Shale gas wastewater; High-salinity wastewater; Zero-liquid discharge; Multiple-effect evaporation; Mechanical vapor recompression; Renewable energy; MULTIOBJECTIVE OPTIMIZATION; FLOWBACK WATER; EVAPORATION; PERFORMANCE; CYCLE;
D O I
10.1016/j.desal.2021.115098
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Wastewater management is one of the main hurdles encountered by the shale gas industry for boosting overall process cost-effectiveness while reducing environmental impacts. In this light, this paper introduces a new multiobjective model for the thermo-economic and environmental optimization of solar-based zero-liquid discharge (ZLD) desalination systems. The solar-driven ZLD system is especially developed for desalinating high-salinity wastewaters from shale gas process. A decentralized system is proposed, encompassing a solar thermal system, a Rankine power cycle, and a multiple-effect evaporator combined with mechanical vapor recompression. The environment-friendly ZLD operation is ensured by specifying the salt concentration of brine discharges close to saturation conditions. The mathematical modelling approach is centered on a multi-objective non-linear programming (MoNLP) formulation, which is aimed at simultaneously minimizing thermo-economic and environmental objective functions. The latter objective function is quantified by the ReCiPe methodology based on life cycle assessment. The MoNLP model is implemented in GAMS software, and solved through the epsilonconstraint method. A set of trade-off Pareto-optimal solutions is presented to support decision-makers towards implementing more sustainable and cost-efficient solar-driven ZLD desalination systems. The comprehensive energy, economic and environmental analysis reveals that the innovative system significantly decreases costs and environmental impacts in shale gas wastewater operations.
引用
收藏
页数:17
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