3,209 research outputs found
Geometric Parameter Optimization of Switched Reluctance Machines for Renewable Energy Applications using Finite Element Analysis
The choice of SRM design depends on the specific application and performance requirements. Factors such as power output, torque characteristics, and efficiency will all influence the choice of SRM design. To find an optimal geometry, it is therefore necessary to determine the effect of each parameter such as rotor pole angle, stator pole angle, stator external diameter, rotor diameter, air gap length, rotor yoke, stator yoke and shaft diameter on the machine performance. For this reason, this paper discusses a comparative study of the geometric parameters influence on SRM performance. The analysis is performed by finite element simulations based on the variation of rotor inclination, air gap length, stator and rotor polar arc variations of three machine topologies such as the three-phase 12/8 SRM, three-phase 6/4 SRM and four-phase 8/6 SRM. For a reliable comparison, these machines must have the same basic dimensions (stator outer diameter, rotor outer diameter and length) and operate in the same magnetic circuit saturation. Graphical and numerical results of torque and magnetic flux for three SRM topologies are highlighted. The presented study aims to provide reliable results on the dimensions to be adjusted for various applications
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the decision making process causing these models to be termed as 'Black-Box'. One of the major bottlenecks to adopt such models in mission-critical application domains, such as banking, e-commerce, healthcare, and public services and safety, is the difficulty in interpreting them. Due to the rapid proleferation of these AI models, explaining their learning and decision making process are getting harder which require transparency and easy predictability. Aiming to collate the current state-of-the-art in interpreting the black-box models, this study provides a comprehensive analysis of the explainable AI (XAI) models. To reduce false negative and false positive outcomes of these back-box models, finding flaws in them is still difficult and inefficient. In this paper, the development of XAI is reviewed meticulously through careful selection and analysis of the current state-of-the-art of XAI research. It also provides a comprehensive and in-depth evaluation of the XAI frameworks and their efficacy to serve as a starting point of XAI for applied and theoretical researchers. Towards the end, it highlights emerging and critical issues pertaining to XAI research to showcase major, model-specific trends for better explanation, enhanced transparency, and improved prediction accuracy
Hydropower Potential for Energy Recovery in Wastewater Systems. Assessment Methodology and Practical Application
Tesis por compendio[ES] Los Objetivos de Desarrollo Sostenible (ODS) plantean un llamamiento global para conseguir la sostenibilidad en aspectos esenciales de la vida humana. El actual consumo de energía para el tratamiento de aguas residuales es muy elevado, y las previsiones apuntan a un incremento de la demanda en la próxima década. En este contexto, resulta necesario aplicar la perspectiva de sostenibilidad, para conseguir de forma simultánea todos los ODS. Un desempeño energético más sostenible de las Estaciones Depuradoras de Aguas Residuales (EDAR) implica acciones en dos líneas, reducir el consumo, y generar energías renovables in situ. Para implantar medidas a corto plazo, es necesario explorar las posibilidades que pueden ofrecer las tecnologías ya maduras, y evaluar su potencial contribución a la descarbonización del sector. La generación de electricidad mediante maquinaria hidráulica aprovechando la energía potencial de los efluentes podría ser una de ellas.
El principal objetivo de esta tesis doctoral consiste en desarrollar una metodología, dirigida a los agentes de gobernanza, para evaluar el potencial de generación de energía hidráulica en EDAR, considerando las tres dimensiones de sostenibilidad. De este modo, poder ilustrar las posibilidades de aplicación de esta tecnología, actualmente poco conocida para el sector, que podría contribuir a una gestión más sostenible de las aguas residuales. Las fases desarrolladas incluyeron:
1) Contextualización: Se revisó el estado del arte sobre las necesidades energéticas y las tecnologías para la generación de energía renovable en EDAR. Paralelamente sobre el estado de la tecnología para la recuperación de energía en redes de agua existentes mediante maquinaria hidráulica. Para completar este marco, la revisión se amplió con una búsqueda exhaustiva de casos de estudio reales de aplicación en EDAR. En esta fase se identificaron 49 casos de estudio y se analizó su desempeño energético. Los resultados de esta fase en general demostraron que existe una experiencia real en la aplicación práctica de esta tecnología que no se está utilizando para el desarrollo de todo su potencial en este sector.
2) Desarrollo de la metodología: Se analizaron las metodologías existentes para evaluación del potencial de esta tecnología, y el resultado se comparó con la información obtenida en la contextualización. Como resultado, durante esta tesis se ha desarrollado una metodología con una nueva perspectiva. En primer lugar, se introduce la necesidad de considerar el nivel al que se produce la toma de decisiones, para adaptar el alcance del estudio (un grupo de EDAR). A continuación, la metodología se desarrolla en dos etapas. En la etapa 1 (evaluación técnica) el potencial de generación de energía hidráulica se estima de forma individual para cada EDAR. En la etapa 2 (evaluación global) se propone un método de decisión multicriterio (MCDA) introduciendo criterios de sostenibilidad. La alineación de la metodología con su contexto de aplicación se considera una cuestión clave, de modo que el método propuesto se basa en las directrices del instrumento de gobernanza para aguas residuales en España (Plan DSEAR).
3) Aplicación práctica: Esta fase completa el estudio con la aplicación a un grupo de 186 EDAR de la Comunidad Valenciana (España), con la misma modalidad de financiación. Se estimó una generación de electricidad de 340,472 kWh/año, aunque como hallazgo se observó la posibilidad de que dicho potencial sea mayor. En la etapa 2 se mostró que, cuando los resultados de la etapa 1 se ponen en el contexto de sostenibilidad, se obtiene una nueva perspectiva. Esta investigación demuestra que, en el marco de los ODS, la recuperación de energía hidráulica del agua residual podría ser una opción más en la descarbonización de este sector. Tomando como base esta propuesta, agentes de gobernanza para la gestión de aguas residuales en otro contexto podrían desarrollar metodologías similares adaptadas a su propio entorno.[CA] Els Objectius de Desenvolupament Sostenible (ODS) plantegen una crida global per a aconseguir la sostenibilitat en aspectes essencials de la vida humana. L'actual consum d'energia per al tractament d'aigües residuals és molt elevat, i les previsions apunten a un increment de la demanda en la dècada vinent. En este context, resulta necessari aplicar la perspectiva de sostenibilitat, per a aconseguir de manera simultània tots els ODS. Un acompliment energètic més sostenible de les Estacions Depuradores d'Aigües Residuals (EDAR) implica accions en dues línies, reduir el consum, i generar energies renovables in situ. Per a implantar mesures a curt termini, és necessari explorar les possibilitats que poden oferir les tecnologies ja madures, i avaluar la seua potencial contribució a la descarbonització del sector. La generació d'electricitat mitjançant maquinària hidràulica aprofitant l'energia potencial dels efluents podria ser una d'elles.
El principal objectiu d'esta tesi doctoral consisteix a desenvolupar una metodologia, dirigida als agents de governança, per a avaluar el potencial de generació d'energia hidràulica en EDAR, considerant les tres dimensions de sostenibilitat. D'aquesta manera, poder il·lustrar les possibilitats d'aplicació d'esta tecnologia, actualment poc coneguda per al sector, que podria contribuir a una gestió més sostenible de les aigües residuals. Les fases desenvolupades van incloure:
1) Contextualització: Es va revisar l'estat de l'art sobre les necessitats energètiques i les tecnologies per a la generació d'energia renovable en EDAR. Paral·lelament sobre l'estat de la tecnologia per a la recuperació d'energia en xarxes d'aigua existents mitjançant maquinària hidràulica. Per a completar este marc, la revisió es va ampliar amb una cerca exhaustiva de casos d'estudi reals d'aplicació en EDAR. En esta fase es van identificar 49 casos d'estudi i es va analitzar el seu acompliment energètic. Els resultats d'esta fase en general van demostrar que existeix una experiència real en l'aplicació pràctica d'esta tecnologia que no s'està utilitzant per al desenvolupament de tot el seu potencial en este sector.
2) Desenvolupament de la metodologia: Es van analitzar les metodologies existents per a avaluació del potencial d'esta tecnologia, i el resultat es va comparar amb la informació obtinguda en la contextualització. Com a resultat, durant esta tesi s'ha desenvolupat una metodologia amb una nova perspectiva. En primer lloc, s'introdueix la necessitat de considerar el nivell al qual es produeix la presa de decisions, per a adaptar l'abast de l'estudi (un grup de EDAR). A continuació, la metodologia es desenvolupa en dues etapes. En l'etapa 1 (avaluació tècnica) el potencial de generació d'energia hidràulica s'estima de manera individual per a cada EDAR. En l'etapa 2 (avaluació global) es proposa un mètode de decisió multicriteri (MCDA) introduint criteris de sostenibilitat. L'alineació de la metodologia amb el seu context d'aplicació es considera una qüestió clau, de manera que el mètode proposat es basa en les directrius de l'instrument de governança per a aigües residuals a Espanya (Pla DSEAR).
3) Aplicació pràctica: Esta fase completa l'estudi amb l'aplicació a un grup de 186 EDAR de la Comunitat Valenciana, amb la mateixa modalitat de finançament. Es va estimar una generació d'electricitat de 340,472 kWh/any, encara que com a troballa es va observar la possibilitat que aquest potencial siga major. En l'etapa 2 es va mostrar que, quan els resultats de l'etapa 1 es posen en el context de sostenibilitat, s'obté una nova perspectiva. Esta investigació demostra que, en el marc dels ODS, la recuperació d'energia hidràulica de l'aigua residual podria ser una opció més en la descarbonització d'este sector. Prenent com a base esta proposta, agents de governança per a la gestió d'aigües residuals en un altre context podrien desenvolupar metodologies similars adaptades al seu propi entorn.[EN] The Sustainable Development Goals establish a universal agenda to call for action and achieve sustainability in essential aspects of human life. Nowadays the energy demand for wastewater treatment is very high and it is expected to increase in the next decade. Therefore, the performance of this industry will have an effect on SDG 6, but also on SDG 7 and 13. In this context, it is necessary to apply the sustainability approach to wastewater systems to simultaneously achieve all these goals. More sustainable energy performance of wastewater treatment plants (WWTPs) implies two parallel steps: a reduction of energy consumption and the implementation of renewable energy technologies. To take action in the short term, existing mature technologies should be explored to evaluate their potential contribution to the decarbonization roadmaps in the wastewater industry. Hydropower might be one of these technologies.
The main objective of this thesis is to develop a methodology, addressed to wastewater governance stakeholders, to assess the potential of hydropower application to WWTPs, regarding all three dimensions of sustainability. According to this, the final aim of this study is to illustrate the practical possibilities, usually unknown, that hydropower could offer to the wastewater sector in the pathway towards more sustainable systems.
To achieve that aim, the steps in this research included:
1) Contextualization: The review of the state of the art was conducted in two lines. Firstly, about the energy needs for wastewater treatment and technologies for renewable energy generation. Secondly, about hydropower for energy recovery from existing networks. To complete the framework, this stage was extended with an exhaustive search and analysis of real case studies of hydropower applications to WWTPs. In this stage, 49 case studies were identified, and their energy data were extracted to obtain energy self-sufficiency indicators and analyze their renewable energy profiles. Furthermore, the technical data of their hydropower systems were examined. The overall results of this stage showed that there is an existing experience that is not being used to explore hydropower as an option for energy recovery in the wastewater sector.
2) Methodology development: In a preliminary step, existing methodologies for hydropower potential assessment were analyzed and compared with the framework obtained from the contextualization. As a result, a methodology with a broader approach was developed. First, it introduces the consideration of the decision-making level to select the scope of the study (a group of WWTPs). Then, the proposed methodology consists of two steps. In step 1 (technical assessment of hydropower potential) individual power output is estimated for each site. This step was validated with the data obtained during the contextualization. In step 2 (global assessment), after analyzing existing guidelines, a multi-criteria decision analysis (MCDA) method with sustainability criteria is defined. As the alignment with the context is a key issue introduced in this proposal, this method is based on the guidelines in the wastewater governance instrument in Spain (PDSEAR).
3) Practical application: This stage completes the research with the application of the proposed methodology to a case study, a group of 186 WWTPs in the region of Valencia (Spain), selected according to their management model. The generation was estimated at 340,472 kWh/year, but it was found that the potential could be higher. The results also showed that the perspective may be different, if the outcomes from step 1, are put into context in step 2, with the application of the MCDA method. This research demonstrates that, in a sustainability framework, hydropower might be an interesting option to consider for the decarbonization of wastewater systems. Based on this study, decision-making stakeholders could design their own methodologies, adapted to the specific context.The authors would like to acknowledge grant PID2020–114781RA-I00 funded
by MCIN/AEI/ 10.13039/501100011033.Llácer Iglesias, RM. (2023). Hydropower Potential for Energy Recovery in Wastewater Systems. Assessment Methodology and Practical Application [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/201558Compendi
Integrating forecasting in metaheuristic methods to solve dynamic routing problems: evidence from the logistic processes of tuna vessels
The multiple Traveling Salesman Problem (mTSP) is a widespread phenomenon in real-life scenarios, and in fact it has been addressed from multiple perspectives in recent decades. However, mTSP in dynamic circumstances entails a greater complexity that recent approaches are still trying to grasp. Beyond time windows, capacity and other parameters that characterize the dynamics of each scenario, moving targets is one of the underdeveloped issues in the field of mTSP. The approach of this paper harnesses a simple prediction method to prove that integrating forecasting within a metaheuristic evolutionary-based method, such as genetic algorithms, can yield better results in a dynamic scenario than their simple non-predictive version. Real data is used from the retrieval of Fish Aggregating Devices (FADs) by tuna vessels in the Indian Ocean. Based on historical data registered by the GPS system of the buoys attached to the devices, their trajectory is firstly forecast to feed subsequently the functioning of a genetic algorithm that searches for the optimal route of tuna vessels in terms of total distance traveled. Thus, although valid for static cases and for the Vehicle Routing Problem (VRP), the main contribution of this method over existing literature lies in its application as a global search method to solve the multiple TSP with moving targets in many dynamic real-life optimization problems.Ministerio de Economía y Competitividad | Ref. ECO2016-76625-RXunta de Galicia | Ref. GRC2014/02
Review article: Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards
Post-disaster recovery has been addressed in the literature by different sectoral perspectives and scientific communities. Nevertheless, studies providing holistic approaches to recovery, integrating reconstruction procedures and socio-economic impacts, are still lacking. Additionally, there is a gap in disaster recovery research addressing the additional challenges posed by the effect of complex, multiple, and interacting risks on highly interconnected urban areas. Furthermore, recovery has only been marginally explored from a pre-disaster perspective in terms of planning and actions to increase urban resilience and recoverability. This paper provides a critical review of existing literature and guidelines on multi-risk disaster recovery with the twofold aim of identifying current gaps and providing the layout to address multi-risk recovery planning tools for decision-making. The literature on disaster recovery is investigated in the paper by focusing on the definition of the recovery phase and its separation or overlapping with other disaster risk management phases, the different destinations and goals that an urban system follows through recovery pathways, the requirements to implement a holistic resilience-based recovery roadmap, the challenges for shifting from single-risk to multi-risk recovery approaches, and the available tools for optimal decision-making in the recovery planning. Finally, the current challenges in multi-risk recovery planning are summarized and discussed. This review can be a ground basis for new research directions in the field of multi-risk recovery planning to help stakeholders in decision-making and optimize their pre-disaster investments to improve the urban system's recoverability.</p
Strategy Tripod Perspective on the Determinants of Airline Efficiency in A Global Context: An Application of DEA and Tobit Analysis
The airline industry is vital to contemporary civilization since it is a key player in the globalization process: linking regions, fostering global commerce, promoting tourism and aiding economic and social progress. However, there has been little study on the link between the operational environment and airline efficiency. Investigating the amalgamation of institutions, organisations and strategic decisions is critical to understanding how airlines operate efficiently.
This research aims to employ the strategy tripod perspective to investigate the efficiency of a global airline sample using a non-parametric linear programming method (data envelopment analysis [DEA]). Using a Tobit regression, the bootstrapped DEA efficiency change scores are further regressed to determine the drivers of efficiency. The strategy tripod is employed to assess the impact of institutions, industry and resources on airline efficiency. Institutions are measured by global indices of destination attractiveness; industry, including competition, jet fuel and business model; and finally, resources, such as the number of full-time employees, alliances, ownership and connectivity. The first part of the study uses panel data from 35 major airlines, collected from their annual reports for the period 2011 to 2018, and country attractiveness indices from global indicators. The second part of the research involves a qualitative data collection approach and semi-structured interviews with experts in the field to evaluate the impact of COVID-19 on the first part’s significant findings.
The main findings reveal that airlines operate at a highly competitive level regardless of their competition intensity or origin. Furthermore, the unpredictability of the environment complicates airline operations. The efficiency drivers of an airline are partially determined by its type of business model, its degree of cooperation and how fuel cost is managed. Trade openness has a negative influence on airline efficiency. COVID-19 has toppled the airline industry, forcing airlines to reconsider their business model and continuously increase cooperation. Human resources, sustainability and alternative fuel sources are critical to airline survival. Finally, this study provides some evidence for the practicality of the strategy tripod and hints at the need for a broader approach in the study of international strategies
Decentralised State Feedback Tracking Control for Large-Scale Interconnected Systems Using Sliding Mode Techniques
A class of large-scale interconnected systems with matched and unmatched uncertainties is studied in this thesis, with the objective of proposing a controller based on diffeomorphisms and some techniques to deal with the tracking problem of the system. The main research developed in this thesis includes: 1. Large-scale interconnected system is a complex system consisting of several semi-independent subsystems, which are typically located in distinct geographic or logical locations. In this situation, decentralised control which only collects the local information is the practical method to deal with large-scale interconnected systems. The decentralised methodology is utilised throughout this thesis, guaranteeing that systems exhibit essential robustness against uncertainty. 2. Sliding mode technique is involved in the process of controller design. By introducing a nonsingular local diffeomorphism, the large-scale system can be transformed into a system with a specific regular form, where the matched uncertainty is completely absent from the subspace spanned by the sliding mode dynamics. The sliding mode based controller is proposed in this thesis to successfully achieve high robustness of the closed-loop interconnected systems with some particular uncertainties. 3. The considered large-scale interconnected systems can always track the smooth desired signals in a finite time. Each subsystem can track its own ideal signal or all subsystems can track the same ideal signal. Both situations are discussed in this thesis and the results are mathematically proven by introducing the Lyapunov theory, even when operating under the presence of disturbances. At the end of each chapter, some simulation examples, like a coupled inverted pendulums system, a river pollution system and a high-speed train system, are presented to verify the correctness of the proposed theory. At the conclusion of this thesis, a brief summary of the research findings has been provided, along with a mention of potential future research directions in tracking control of large-scale systems, like more general boundedness of interconnections, possibilities of distributed control, collaboration with intelligent control and so on. Some mathematical theories involved and simulation code are included in the appendix section
Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data
Calibrating microscopic car-following (CF) models is crucial in traffic flow theory as it allows for accurate reproduction and investigation of traffic behavior and phenomena. Typically, the calibration procedure is a complicated, non-convex optimization issue. When the traffic state is in equilibrium, the macroscopic flow model can be derived analytically from the corresponding CF model. In contrast to the microscopic CF model, calibrated based on trajectory data, the macroscopic representation of the fundamental diagram (FD) primarily adopts loop detector data for calibration. The different calibration approaches at the macro- and microscopic levels may lead to misaligned parameters with identical practical meanings in both macro- and micro-traffic models. This inconsistency arises from the difference between the parameter calibration processes used in macro- and microscopic traffic flow models. Hence, this study proposes an integrated multiresolution traffic flow modeling framework using the same trajectory data for parameter calibration based on the self-consistency concept. This framework incorporates multiple objective functions in the macro- and micro-dimensions. To expeditiously execute the proposed framework, an improved metaheuristic multi-objective optimization algorithm is presented that employs multiple enhancement strategies. Additionally, a deep learning technique based on attention mechanisms was used to extract stationary-state traffic data for the macroscopic calibration process, instead of directly using the entire aggregated data. We conducted experiments using real-world and synthetic trajectory data to validate our self-consistent calibration framework
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A comprehensive review of renewables and electric vehicles hosting capacity in active distribution networks
© Copyright 2023 The Author(s). The excessive integration of renewable distributed generation (RDG) and electric vehicles (EVs) could be considered the two most problematic elements representing the greatest threat to the distribution network (DN) technical operation. In order to avoid going beyond technical limitations, the term hosting capacity (HC) was proposed to define the highest permitted amount of distributed generation (DG) or EVs that can be integrated safely into the DN. The connection of RDGs was first brought to the attention of researchers and DN operators since it accounts for the most notable portion of these technical issues. Hence, the phrase ‘DG-HC’ was initially proposed and evolved significantly over the last few years. Currently, EV integration in most DNs worldwide is still low, but given the worldwide support for clean transportation options, expectations are raised for a significant increase. As a result, it is anticipated that over the next years, the effect of EV integration on the DN will be highly noticeable, requiring greater attention from researchers and DN operators to define the accepted limits of EV penetration levels, ‘EV-HC,’ which is expected to pass along the same line of DG-HC. This article provides an in-depth review of both DG-HC and EV-HC. It first analyses how the DG-HC research has grown over the years and then studies the published EV-HC papers, illustrating to what extent there is a similarity between them and, finally, employs these analyses to expect future development in the EV-HC research area. This article includes the different uses of the term HC, the most common performance indices of DG-HC, the various methods for assessing DG-HC, the different techniques for DG-HC enhancement, the effects of integrating EVs on the DG-HC, and finally, calculating and enhancing methods for EV-HC
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