UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Process optimization for zero-liquid discharge desalination of shale gas flowback water under uncertainty

Onishi, VC; Ruiz-Femenia, R; Salcedo-Díaz, R; Carrero-Parreño, A; Reyes-Labarta, JA; Fraga, ES; Caballero, JA; (2017) Process optimization for zero-liquid discharge desalination of shale gas flowback water under uncertainty. Journal of Cleaner Production , 164 pp. 1219-1238. 10.1016/j.jclepro.2017.06.243. Green open access

[thumbnail of Fraga_submitted.pdf]
Preview
Text
Fraga_submitted.pdf - Accepted Version

Download (3MB) | Preview

Abstract

Sustainable and efficient desalination is required to treat the large amounts of high-salinity flowback water from shale gas extraction. Nevertheless, uncertainty associated with well data (including water flowrates and salinities) strongly hampers the process design task. In this work, we introduce a new optimization model for the synthesis of zero-liquid discharge (ZLD) desalination systems under uncertainty. The desalination system is based on multiple-effect evaporation with mechanical vapor recompression (MEE-MVR). Our main objective is energy efficiency intensification through brine discharge reduction, while accounting for distinct water feeding scenarios. For this purpose, we consider the outflow brine salinity near to salt saturation condition as a design constraint to achieve ZLD operation. In this innovative approach, uncertain parameters are mathematically modelled as a set of correlated scenarios with known probability of occurrence. The scenarios set is described by a multivariate normal distribution generated via a sampl ing technique with symmetric correlation matrix. The stochastic multiscenario non-linear programming (NLP) model is implemented in GAMS, and optimized by the minimization of the expected total annualized cost. An illustrative case study is carried out to evaluate the capabilities of the proposed new approach. Cumulative probability curves are constructed to assess the financial risk related to uncertain space for different standard deviations of expected mean values. Sensitivity analysis is performed to appraise optimal system performance for distinct brine salinity conditions. This methodology represents a useful tool to support decision-makers towards the selection of more robust and reliable ZLD desalination systems for the treatment of shale gas flowback water.

Type: Article
Title: Process optimization for zero-liquid discharge desalination of shale gas flowback water under uncertainty
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclepro.2017.06.243
Publisher version: http://dx.doi.org/10.1016/j.jclepro.2017.06.243
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Shale gas flowback water; Multiple-effect evaporation with mechanical vapor recompression (MEE-MVR); Zero-liquid discharge (ZLD); Uncertainty; Risk management; Robust design
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1571983
Downloads since deposit
162Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item