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Decision making (DM) processes are becoming increasingly complex. The reasons are manifold. DM usually involves many aspects; some are purely technical, while others are subjective and derived from social, political, and environmental factors, among others. As a result, they involve items that are not easily comparable under the same units of measurement. Problems are made even more complex by the fact that current governance processes tend to involve all the stakeholders in the DM process. In this paper we consider the AHP methodology (analytic hierarchy process), which is used to build consistent aggregate results from data provided by decision makers. As some of the actors involved may not be completely familiar with all the criteria under consideration, it is common that the body of opinion, expressed in terms of pairwise comparison, is incomplete. To overcome this weakness, we propose a framework that enables users to provide data on their preferences in a partial and/or incomplete way and at different times. This article is an advance towards a dynamic model of AHP. The authors have addressed the problem of adding a new criterion or deleting obsolete criteria. Here, we address the consistent completion of a reciprocal matrix as a mechanism to obtain a consistent body of opinion issued in an incomplete manner by a specific actor. This feature is incorporated into a process of linearization previously introduced by the authors, which is concisely presented. Finally, we provide an application for leakage control in a water supply company. The adoption of suitable control leakage policies in water supply is a problem of enormous interest in the water industry, particularly in urban hydraulics. ; This work has been funded as part of project IDAWAS, DPI2009-11591 by the Direccion General de Investigacion del Ministerio de Ciencia e Innovacion (Spain); with supplementary support from ACOMP/2011/188 from the Conselleria d'Educacio of the Generalitat Valenciana. The first author also received support from Spanish ...

Over-exploitation and pollution have been identified as the main problems facing the Silao-Romita aquifer in Guanajuato, Mexico. The objective of this paper is to analyze the current situation, characterized by a clear lack of legislative enforcement, dispersion of competences, and scarcity of economic resources, in order to establish a new prioritization of action plans, and choose from among three specific management options. One of the main challenges when addressing these problems in a holistic manner is the conflicting viewpoints of the sectors involved. As each stakeholder has a different perception, there is a clear need for appropriate mechanisms to reach a consensus in decision-making. To achieve the objective, we use the Analytic Hierarchy Process (AHP), because of its flexibility and the availability of mathematical axiomatic principles and techniques to obtain group preferences and priorities. In addition, we use several tools developed by the authors to obtain consistency, streamline the trade-off between stakeholder know-how and synthetic consistency, and consistently complete partial judgments given by some of the stakeholders. The problem of obtaining a consensus among the actors involved regarding criteria and alternatives is also considered. The obtained results are intended to serve as guidelines for conducting priority actions to help solve the general problem of the study area, and to identify the management model that best meets the needs of the aquifer, according to the actors involved. (C) 2013 Elsevier Ltd. All rights reserved. ; This work has been supported by project IDAWAS, DPI2009-11591 of the Spanish Ministry of Science and Innovation; with supplementary support from ACOMP/2011/188 of the education department of the Generalitat Valenciana. The first author wishes to thank CONACYT for the 10007-2011-01 scholarship program. The use of English in this paper was revised by John Rawlins. ; Delgado Galván, XV.; Izquierdo Sebastián, J.; Benítez López, J.; Pérez García, R. (2014). Joint ...

1 23 8 2 ; S ; [EN] Offshore floating hybrid wind and wave energy is a young technology yet to be scaled up. A way to reduce the total costs of the energy production process in order to ensure competitiveness in the sustainable energy market is to maximize the farm's efficiency. To do so, an energy generation and costs calculation model was developed with the objective of minimizing the technology's Levelized Cost of Energy (LCOE) of the P80 hybrid wind-wave concept, designed by the company Floating Power Plant A/S. A Particle Swarm Optimization (PSO) algorithm was then implemented on top of other technical and decision-making processes, taking as decision variables the layout, the offshore substation position, and the export cable choice. The process was applied off the west coast of Ireland in a site of interest for the company, and after a quantitative and qualitative optimization process, a minimized LCOE was obtained. It was then found that lower costs of similar to 73% can be reached in the short-term, and the room for improvement in the structure's design and materials was highlighted, with an LCOE reduction potential of up to 32%. The model serves usefully as a preliminary analysis. However, the uncertainty estimate of 11% indicates that further site-specific studies and measurements are essential. Izquierdo-Pérez, J.; Brentan, BM.; Izquierdo Sebastián, J.; Clausen, N.; Pegalajar-Jurado, A.; Ebsen, N. (2020). Layout Optimization Process to Minimize the Cost of Energy of an Offshore Floating Hybrid Wind-Wave Farm. Processes. 8(2):1-23. https://doi.org/10.3390/pr8020139 Wind Power Capacity Worldwide Reaches 597 GW, 50.1 GWhttps://wwindea.org/blog/2019/02/25/wind-power-capacity-worldwide-reaches-600-gw-539-gw-added-in-2018/ Global Offshore Wind Energy Capacity from 2008 to 2018 (in Megawatts)https://www.statista.com/statistics/476327/global-capacity-of-offshore-wind-energy/ Haliade-X Offshore Wind Turbine Platformhttps://www.ge.com/renewableenergy/wind-energy/offshore-wind/haliade-x-offshore-turbine ...

[EN] The BATtle of the Attack Detection ALgorithms (BATADAL) is the most recent competition on planning and management of water networks undertaken within the Water Distribution Systems Analysis Symposium. The goal of the battle was to compare the performance of algorithms for the detection of cyber-physical attacks, whose frequency has increased in the last few years along with the adoption of smart water technologies. The design challenge was set for the C-Town network, a real-world, medium-sized water distribution system operated through programmable logic controllers and a supervisory control and data acquisition (SCADA) system. Participants were provided with data sets containing (simulated) SCADA observations, and challenged to design an attack detection algorithm. The effectiveness of all submitted algorithms was evaluated in terms of time-to-detection and classification accuracy. Seven teams participated in the battle and proposed a variety of successful approaches leveraging data analysis, model-based detection mechanisms, and rule checking. Results were presented at the Water Distribution Systems Analysis Symposium (World Environmental and Water Resources Congress) in Sacramento, California on May 21¿25, 2017. This paper summarizes the BATADAL problem, proposed algorithms, results, and future research directions. ; Riccardo Taormina, Stefano Galelli, and Nils Ole Tippenhauer are supported by the National Research Foundation (NRF), Singapore, under its National Cybersecurity R&D Programme (Award No. NRF2014NCR-NCR001-40). Demetrios Eliades is supported by the European Union s Horizon 2020 research and innovation program under grant agreement No. 739551 (KIOS CoE). Mohsen Aghashahi and M. Katherine Banks are supported by Qatar National Research Fund (QNRF) under the grant NPRP8-1292-2-548. B. M. Brentan, Enrique Campbell, G. Lima, D. Manzi, D. Ayala-Cabrera, M. Herrera, I. Montalvo, J. Izquierdo, and E. Luvizotto Jr. are supported CAPES and CNPq founding agencies. The work of Marcio Giacomoni, ...