Comparison among monitoring strategies to assess water flow dynamic and soil hydraulic properties in agricultural soils

Irrigated agriculture is usually performed in semi-arid regions despite scarcity of water resources. Therefore, optimal irrigation management by monitoring the soil is essential, and assessing soil hydraulic properties and water flow dynamics is presented as a first measure. For this purpose, the control of volumetric water content, θ, and pressure head, h, is required. This study adopted two types of monitoring strategies in the same experimental plot to control θ and h in the vadose zone: i) non-automatic and more time-consuming; ii) automatic connected to a datalogger. Water flux was modelled with Hydrus-1D using the data collected from both acquisition strategies independently (3820 daily values for the automatic; less than 1000 for the non-automatic). Goodness-of-fit results reported a better adjustment in case of automatic sensors. Both model outputs adequately predicted the general trend of θ and h, but with slight differences in computed annual drainage (711 mm and 774 mm). Soil hydraulic properties were inversely estimated from both data acquisition systems. Major differences were obtained in the saturated volumetric water content, θs, and the n and α van Genuchten model shape parameters. Saturated hydraulic conductivity, Ks, shown lower variability with a coefficient of variation range from 0.13 to 0.24 for the soil layers defined. Soil hydraulic properties were better assessed through automatic data acquisition as data variability was lower and accuracy was higher.

Large scale optimization of a sour water stripping plant using surrogate models

In this work, we propose a new methodology for the large scale optimization and process integration of complex chemical processes that have been simulated using modular chemical process simulators. Units with significant numerical noise or large CPU times are substituted by surrogate models based on Kriging interpolation. Using a degree of freedom analysis, some of those units can be aggregated into a single unit to reduce the complexity of the resulting model. As a result, we solve a hybrid simulation-optimization model formed by units in the original flowsheet, Kriging models, and explicit equations. We present a case study of the optimization of a sour water stripping plant in which we simultaneously consider economics, heat integration and environmental impact using the ReCiPe indicator, which incorporates the recent advances made in Life Cycle Assessment (LCA). The optimization strategy guarantees the convergence to a local optimum inside the tolerance of the numerical noise.

Mathematical programming model for heat exchanger design through optimization of partial objectives

Mathematical programming can be used for the optimal design of shell-and-tube heat exchangers (STHEs). This paper proposes a mixed integer non-linear programming (MINLP) model for the design of STHEs, following rigorously the standards of the Tubular Exchanger Manufacturers Association (TEMA). Bell–Delaware Method is used for the shell-side calculations. This approach produces a large and non-convex model that cannot be solved to global optimality with the current state of the art solvers. Notwithstanding, it is proposed to perform a sequential optimization approach of partial objective targets through the division of the problem into sets of related equations that are easier to solve. For each one of these problems a heuristic objective function is selected based on the physical behavior of the problem. The global optimal solution of the original problem cannot be ensured even in the case in which each of the sub-problems is solved to global optimality, but at least a very good solution is always guaranteed. Three cases extracted from the literature were studied. The results showed that in all cases the values obtained using the proposed MINLP model containing multiple objective functions improved the values presented in the literature.

Multi-objective optimization of environmentally conscious chemical supply chains under demand uncertainty

In this work, we analyze the effect of demand uncertainty on the multi-objective optimization of chemical supply chains (SC) considering simultaneously their economic and environmental performance. To this end, we present a stochastic multi-scenario mixed-integer linear program (MILP) with the unique feature of incorporating explicitly the demand uncertainty using scenarios with given probability of occurrence. The environmental performance is quantified following life cycle assessment (LCA) principles, which are represented in the model formulation through standard algebraic equations. The capabilities of our approach are illustrated through a case study. We show that the stochastic solution improves the economic performance of the SC in comparison with the deterministic one at any level of the environmental impact.

Azudes y acueductos del sistema de riego tradicional de la Vega Baja del Segura (Alicante, España)

En el presente trabajo se describen y analizan las principales obras hidráulicas del sistema de riego tradicional de la comarca de la Vega Baja del Segura, concretamente, los azudes y los acueductos. Los azudes de toma, construidos en el cauce del río Segura, representan el inicio del sistema, desde donde parte una extensa y compleja red de acueductos constituida por acequias y azarbes, como elementos fundamentales, que distribuyen el agua para el regadío. En este estudio se ha llevado a cabo una amplia y profunda investigación documental, tomado datos de campo y captado imágenes in situ que, junto con los diagramas aportados, resultan imprescindibles para comprender la magnitud del sistema. Los resultados obtenidos han servido no sólo para catalogar y caracterizar los elementos que integran el sistema hidráulico del regadío tradicional de la Vega Baja del Segura, sino también para poner de manifiesto un ejemplo real de optimización de recursos hídricos en una zona del sureste peninsular español de escasa e irregular pluviometría. Asimismo, el estudio efectuado revela un sistema de riego sumamente eficiente desde un punto de vista cuantitativo y no tanto desde el cualitativo, debido a la presencia, entre otros contaminantes, de altas concentraciones de sales.

Optimization of Chemical Processes Using Surrogate Models Based on a Kriging Interpolation

Superstructure approaches are the solution to the difficult problem which involves the rigorous economic design of a distillation column. These methods require complex initialization procedures and they are hard to solve. For this reason, these methods have not been extensively used. In this work, we present a methodology for the rigorous optimization of chemical processes implemented on a commercial simulator using surrogate models based on a kriging interpolation. Several examples were studied, but in this paper, we perform the optimization of a superstructure for a non-sharp separation to show the efficiency and effectiveness of the method. Noteworthy that it is possible to get surrogate models accurate enough with up to seven degrees of freedom.

Princípios norteadores da gestão dos recursos hídricos no Brasil e no Estado de São Paulo em tempos de escassez

Este estudo visa apresentar os princípios gerais que regem a utilização dos recursos hídricos no Brasil e no Estado de São Paulo, destacando os instrumentos que regulamentam seu uso pelos múltiplos atores que dependem da água para a realização das mais variadas atividades, levando-se em consideração a legislação e demais normas e documentos elaborados e vigentes até o final do mês de maio de 2015. Será realizada pesquisa bibliográfica e documental e os dados serão tratados através da análise qualitativa de conteúdo. Afinal, como é a gestão da água no Estado de São Paulo e no Brasil, enquanto recurso, visando atender as necessidades heterogêneas dos atores que dele dependem para inúmeros usos? Buscar-se-á despertar o leitor para a relevância do tema neste momento em que atravessamos um cenário de escassez decorrente de uma série de fatores, dentre os quais destacam-se os gerenciais.