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Ramon Sarrate

Bio: Ramon Sarrate is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Fault detection and isolation & Fault (power engineering). The author has an hindex of 16, co-authored 52 publications receiving 715 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the main challenges in improving the efficiency of drinking water networks is to minimize leaks, which can cause significant economic losses in fluid transportation and extra costs for the final consumer due to the waste of energy and chemicals in water treatment plants.
Abstract: The efficient distribution of water is a subject of major concern for water utilities and authorities [1]. While some leaks in water distribution networks (WDNs) are unavoidable, one of the main challenges in improving the efficiency of drinking water networks is to minimize leaks. Leaks can cause significant economic losses in fluid transportation and extra costs for the final consumer due to the waste of energy and chemicals in water treatment plants. Leaks may also damage infrastructure and cause third-party damage and health risks. In many WDNs, losses due to leakage are estimated to account up to 30% of the total amount of extracted water [2]; a very important issue in a world struggling to satisfy water demands of a growing population.

125 citations

Journal ArticleDOI
TL;DR: This work presents an optimization strategy that maximizes the leak diagnosability performance of the network and proposes to combine this methodology with clustering techniques to reduce even more the size and the complexity of the problem.
Abstract: The performance of a leak detection and location algorithm depends on the set of measurements that are available in the network. This work presents an optimization strategy that maximizes the leak diagnosability performance of the network. The goal is to characterize and determine a sensor configuration that guarantees a maximum degree of diagnosability while the sensor configuration cost satisfies a budgetary constraint. To efficiently handle the complexity of the distribution network an efficient branch and bound search strategy based on a structural model is used. However, in order to reduce even more the size and the complexity of the problem the present work proposes to combine this methodology with clustering techniques. The strategy developed in this work is successfully applied to determine the optimal set of pressure sensors that should be installed to a District Metered Area in the Barcelona Water Distribution Network.

55 citations

Journal ArticleDOI
TL;DR: In this article, a nominal sensor placement methodology for leak location in water distribution networks is presented to reduce the size and the complexity of the optimization problem, where a clustering technique is combined with the nominal sensors placement methodology.
Abstract: In this paper, a nominal sensor placement methodology for leak location in water distribution networks is presented. To reduce the size and the complexity of the optimization problem a clustering technique is combined with the nominal sensor placement methodology. Some of the pressure sensor placement methods for leak detection and location in water distribution networks are based on the pressure sensitivity matrix analysis. This matrix depends on the network demands, which are nondeterministic, and the leak magnitudes, that are unknown. The robustness of the nominal sensor placement methodology is investigated against the fault sensitivity matrix uncertainty. Providing upon the dependency of the leak location procedure on the network operating point, the nominal sensor placement problem is then reformulated as a multi-objective optimization for which Pareto optimal solutions are generated. The robustness study as well as the resulting robust sensor placement methodology are illustrated by means of a small academic network as well as a district metered area in the Barcelona water distribution network.

43 citations

Proceedings ArticleDOI
01 Dec 2007
TL;DR: This paper proposes an algorithm for model-based FDI sensor placement based on formulating a mixed integer optimization problem and an application based on a two-tanks system is proposed.
Abstract: The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre- established set of FDI specifications for a given set of faults. The main contribution of this paper is to propose an algorithm for model-based FDI sensor placement based on formulating a mixed integer optimization problem. FDI specifications are translated into constraints of the optimization problem considering that the whole set of ARRs has been generated, under the assumption that all candidate sensors are installed. To show the effectiveness of this approach, an application based on a two-tanks system is proposed.

43 citations

Proceedings ArticleDOI
03 Jul 2012
TL;DR: In this paper, the authors present a strategy based on diagnosability maximization for optimally locating sensors in distribution networks, which is successfully applied to leakage detection in a Drinking Water Distribution Network.
Abstract: The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution networks. The goal is to characterize and determine the set of sensors that guarantees a maximum degree of diagnosability taking into account a given sensor configuration cardinality constraint. The strategy is based on the structural model of the system under consideration. Structural analysis is a powerful tool for determining diagnosis possibilities and evaluating whether the number and the location of sensors are adequate in order to meet some diagnosis specifications. The proposed approach is successfully applied to leakage detection in a Drinking Water Distribution Network.

40 citations


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Book
01 Jan 1965

445 citations

Journal ArticleDOI
TL;DR: The so-called “smartization” of manufacturing industries has been conceived as the fourth industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and progressive maturity of the global economy.

362 citations

Journal ArticleDOI
TL;DR: This manuscript is the first comprehensive review of the literature in this quickly evolving water research domain and contributes a general framework for the classification of residential water demand modeling studies, which allows revising consolidated approaches, describing emerging trends, and identifying potential future developments.
Abstract: Over the last two decades, water smart metering programs have been launched in a number of medium to large cities worldwide to nearly continuously monitor water consumption at the single household level. The availability of data at such very high spatial and temporal resolution advanced the ability in characterizing, modeling, and, ultimately, designing user-oriented residential water demand management strategies. Research to date has been focusing on one or more of these aspects but with limited integration between the specialized methodologies developed so far. This manuscript is the first comprehensive review of the literature in this quickly evolving water research domain. The paper contributes a general framework for the classification of residential water demand modeling studies, which allows revising consolidated approaches, describing emerging trends, and identifying potential future developments. In particular, the future challenges posed by growing population demands, constrained sources of water supply and climate change impacts are expected to require more and more integrated procedures for effectively supporting residential water demand modeling and management in several countries across the world. We review high resolution residential water demand modeling studies.We provide a classification of existing technologies and methodologies.We identify current trends, challenges and opportunities for future development.

205 citations

Journal ArticleDOI
TL;DR: This paper reviews the applications of recent observers to chemical process systems and classify them into six classes, which differentiate them with respect to their features and assists in the design of observers.

197 citations

Journal ArticleDOI
TL;DR: In this paper, a leakage localisation method based on the pressure measurements and pressure sensitivity analysis of nodes in a network is proposed, where the binary matrix is assumed as a signature matrix for leakages.

180 citations