DSpace Comunidad:http://hdl.handle.net/10045/140712019-04-23T03:05:05Z2019-04-23T03:05:05ZOptimization of multistage membrane distillation system for treating shale gas produced waterCarrero-Parreño, AlbaOnishi, Viviani C.Ruiz-Femenia, RubénSalcedo Díaz, RaquelCaballero, José A.Reyes-Labarta, Juan A.http://hdl.handle.net/10045/901492019-03-26T01:10:57Z2019-06-15T00:00:00ZTítulo: Optimization of multistage membrane distillation system for treating shale gas produced water
Autor/es: Carrero-Parreño, Alba; Onishi, Viviani C.; Ruiz-Femenia, Rubén; Salcedo Díaz, Raquel; Caballero, José A.; Reyes-Labarta, Juan A.
Resumen: Thermal membrane distillation (MD) is an emerging technology to desalinate high-salinity wastewaters, including shale gas produced water to reduce the corresponding water footprint of fracturing operations. In this work, we introduce a rigorous optimization model with energy recovery for the synthesis of multistage direct contact membrane distillation (DCMD) system. The mathematical model (implemented in GAMS software) is formulated via generalized disjunctive programming (GDP) and mixed-integer nonlinear programming (MINLP). To maximize the total amount of water recovered, the outflow brine is fixed close to salt saturation conditions (300 g·kg−1 water) approaching zero liquid discharge (ZLD). A sensitivity analysis is performed to evaluate the system's behavior under different uncertainty sources such as the heat source availability and inlet salinity conditions. The results emphasize the applicability of this promising technology, especially with low steam cost or waste heat, and reveal variable costs and system configurations depending on inlet conditions. For a produced water salinity ranging from 150 g·kg−1 water to 250 g·kg−1 water based on Marcellus play, an optimal treating cost are between 11.5 and 4.4 US$ m−3 is obtained when using low-cost steam. This cost can decrease to 2.8 US$ m−3 when waste heat from shale gas operations is used.2019-06-15T00:00:00ZEffective catalytic removal of nitrates from drinking water: An unresolved problem?Ruiz Beviá, FranciscoFernandez-Torres, Maria J.http://hdl.handle.net/10045/876602019-02-06T01:05:08Z2019-04-20T00:00:00ZTítulo: Effective catalytic removal of nitrates from drinking water: An unresolved problem?
Autor/es: Ruiz Beviá, Francisco; Fernandez-Torres, Maria J.
Resumen: Over the past 29 years there have been myriad research efforts into the catalytic removal of nitrates from drinking water. In this work, 147 papers published during that period have been examined from the point of view of the ability of catalysis to produce water that is suitable for human consumption as well as amenable to industrial scale-up at reasonable working conditions of temperature and residence time. After close examination of the aforementioned articles, it is evident that this methodology has fulfilled only half its aims: it is able to reduce the nitrate concentration to guideline levels for human consumption, but it inevitably produces concentrations of ammonia and nitrites that are beyond the accepted limits for safe consumption of water. It is sometimes recommended that catalysis be combined with an ancillary technique, such as adsorption, in order to eliminate the undesirable byproducts mentioned above. However, this implies resorting to extra treatment units at the industrial scale, thus making the whole treatment process more complex and expensive. Our conclusion is that the effective catalytic removal of nitrates from drinking water is a very difficult problem.2019-04-20T00:00:00ZHolistic Planning Model for Sustainable Water Management in the Shale Gas IndustryCarrero-Parreño, AlbaReyes-Labarta, Juan A.Salcedo Díaz, RaquelRuiz-Femenia, RubénOnishi, Viviani C.Caballero, José A.Grossmann, Ignacio E.http://hdl.handle.net/10045/817072018-10-12T00:11:10Z2018-09-04T00:00:00ZTítulo: Holistic Planning Model for Sustainable Water Management in the Shale Gas Industry
Autor/es: Carrero-Parreño, Alba; Reyes-Labarta, Juan A.; Salcedo Díaz, Raquel; Ruiz-Femenia, Rubén; Onishi, Viviani C.; Caballero, José A.; Grossmann, Ignacio E.
Resumen: To address water planning decisions in shale gas operations, we present a novel water management optimization model that explicitly takes into account the effect of high concentrations of total dissolved solids (TDS) and temporal variations in the impaired water. The model comprises different water management strategies: (a) direct wastewater reuse, which is possible because of new additives tolerant to high TDS concentrations but at the expense of increasing the costs; (b) wastewater treatment, separately taking into account pretreatment, softening, and desalination technologies; and (c) the use of Class II disposal sites. The objective is to maximize the “sustainability profit” by determining the flowback destination (reuse, degree of treatment, or disposal), the fracturing schedule, the fracturing-fluid composition, and the number of water-storage tanks needed for each period of time. Because of the rigorous determination of TDS in all water streams, the model is a nonconvex MINLP model that is tackled in two steps: first, an MILP model is solved on the basis of McCormick relaxations; next, the binary variables that determine the fracturing schedule are fixed, and a smaller MINLP is solved. Finally, several case studies based on Marcellus Shale Play are optimized to illustrate the effectiveness of the proposed formulation. The model identifies direct reuse as the best water-management option to improve both economic and environmental criteria.2018-09-04T00:00:00ZOptimal Shale Gas Flowback Water Desalination under Correlated Data UncertaintyOnishi, Viviani C.Ruiz-Femenia, RubénSalcedo Díaz, RaquelCarrero-Parreño, AlbaReyes-Labarta, Juan A.Caballero, José A.http://hdl.handle.net/10045/809532018-10-12T00:11:18Z2017-10-03T00:00:00ZTítulo: Optimal Shale Gas Flowback Water Desalination under Correlated Data Uncertainty
Autor/es: Onishi, Viviani C.; Ruiz-Femenia, Rubén; Salcedo Díaz, Raquel; Carrero-Parreño, Alba; Reyes-Labarta, Juan A.; Caballero, José A.
Resumen: Optimal flowback water desalination is critical to improve overall efficiency and sustainability of shale gas production. Nonetheless, great uncertainty in well data from shale plays strongly hinders the design task. In this work, we introduce a new stochastic multiscenario optimization model for the robust design of desalination systems under uncertainty. A zero-liquid discharge (ZLD) system composed by multiple-effect evaporation with mechanical vapor recompression (MEE-MVR) is proposed for the desalination of high-salinity shale gas flowback water. Salinity and flowrate of flowback water are both considered as uncertain design parameters, which are described by correlated scenarios with given probability of occurrence. The set of scenarios is generated via Monte Carlo sampling technique from a multivariate normal distribution. ZLD operation is ensured by the design constraint that allows brine concentration near to salt saturation conditions for all scenarios. The stochastic multiscenario nonlinear programming (NLP) model is optimized in GAMS, through the minimization of the expected total annualized cost. Risk analysis based on cumulative probability curves is performed in the uncertain search space, to support decision-makers towards the selection of more robust ZLD desalination systems applied to shale gas flowback water.
Descripción: Presentation at the 27th European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, 2017, 1-5 October.2017-10-03T00:00:00Z