109 research outputs found

    Integrating Renewable Energy Sources in Italian Port Areas towards Renewable Energy Communities

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    The impact of ports on urban areas’ decarbonization to reduce air and environmental pollution effects to achieve sustainable development is undeniable, especially in the marine transportation sector. In this case, applied studies that can contribute to existing knowledge on increasing ports’ energy self-sufficiency using renewable energy sources (RESs) are critical and necessary. In this study, firstly, (1) the RESs assessment prioritization methodology was designed for Lazio ports. Additionally, (2) long-term solar radiation and wind speed were analyzed using the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) dataset of Lazio ports. Furthermore, (3) the time-series, normal-distribution and correlation methods were applied to the generated energy source, based on various parameters of the RESs used in the ports. Finally, (4) Italian port areas, towards renewable energy community (REC) scenarios, were analyzed and developed

    INVESTIGATING AND DEVELOPING ZERO ENERGY DISTRICT USING RENEWABLE ENERGY SOURCES POTENTIAL ANALYSIS: DECISION MAKING OF LAZIO PORTS

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    Ports play a crucial role in increasing the decarbonisation of urban environments to mitigate the environmental impacts of maritime transport and promote sustainable intermodal mobility. Various efforts have been made to increase energy self-sufficiency using Renewable Energy Sources (RESs) in different ports worldwide. However, the ports played an essential role in the pollution process of nearest cities due to the short distance and merged with urban areas. In this case, solar and wind were measured using the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data of four Lazio province ports. Each RESs was evaluated using ten years of monthly data for mapping and one year of hourly data for potential assessment and energy converters installation. Furthermore, the time series method has been considered to design and develop better management of RESs for decision making monitoring the energy needs of ports. This time series method has been applied to the generated energy source based on various parameters of the RESs used in port

    Optimization of hydraulic power take-off system settings for point absorber wave energy converter

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    Ocean wave renewable energy is becoming a key part of the renewable energy industry over the recent decades. By developing wave energy converters (WECs), their power take-off (PTO) systems have been investigated to enhance the power extraction from the ocean. Adjusting PTO parameters is a challenging optimization problem because there is a complex and nonlinear relationship between these parameters and the absorbed power output. In this regard, this study aims to optimize the PTO system parameters of a point absorber wave energy converter in the wave data-set in Perth, on the Western Australian coasts. The converter is numerically designed to oscillate against irregular and multi-dimensional waves and sensitivity analysis for PTO settings. Then, to find the optimal PTO system parameters which lead to the highest power output, ten optimization approaches are incorporated to solve the nonlinear problem, including the Nelder-Mead search method, Active-set method, Sequential quadratic Programming method (SQP), Multi-Verse Optimizer (MVO), and six modified combination of Genetic, Surrogate and fminsearch techniques. After a feasibility landscape analysis, the optimization outcome is carried out and gives us the best answer in terms of PTO system settings. Finally, the investigation shows that the modified combinations of Genetic, Surrogate, and fminsearch approaches can outperform the others in the selected wave scenario, as well as with regard to the interaction between PTO system variables. (c) 2022 Elsevier Ltd. All rights reserved

    Using LibQUAL model for improving the level of students' satisfaction from quality of services in academic libraries: a case study in North Khorasan Province, Iran

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    Published: 7 March 2016The most important aim of the research is to evaluate and analyse the quality level of services of four different university libraries which are located in the North Khorasan province in Iran. The statistical populations included various students from different branches and they were chosen as samples. For collecting data, the survey method was applied; meanwhile, data collection tool, specific questionnaire were used since that each of the four components for quality estimation of services was calculated using LibQUAL tool. The mean total services for university libraries of North Khorasan were negative in terms of service fitness gap, which means that libraries were not capable of satisfying the minimum anticipation of their users. Interestingly, for all library services, gap was negative too. In other words, libraries are far from rewarding the expectations of students associated with the most desirable (maximum) level of services.Ali Akbar Pourahmad, Mehdi Neshat, Mohammad Reza Hasan

    A hybrid evolutionary algorithm framework for optimising power take off and placements of wave energy converters

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    Data source: Supplemental material, http://doi.org/10.1145/3321707.3321806Ocean wave energy is a source of renewable energy that has gained much attention for its potential to contribute significantly to meeting the global energy demand. In this research, we investigate the problem of maximising the energy delivered by farms of wave energy converters (WEC's). We consider state-of-the-art fully submerged three-tether converters deployed in arrays. The goal of this work is to use heuristic search to optimise the power output of arrays in a size-constrained environment by configuring WEC locations and the power-take-off (PTO) settings for each WEC. Modelling the complex hydrodynamic interactions in wave farms is expensive, which constrains search to only a few thousand model evaluations. We explore a variety of heuristic approaches including cooperative and hybrid methods. The effectiveness of these approaches is assessed in two real wave scenarios (Sydney and Perth) with farms of two different scales. We find that a combination of symmetric local search with Nelder-Mead Simplex direct search combined with a back-tracking optimization strategy is able to outperform previously defined search techniques by up to 3\%.Mehdi Neshat, Bradley Alexander, Nataliia Y. Sergiienko, and Markus Wagne

    Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting. North aegean islands case studies

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    An accurate prediction of short-term and long-term wind speed is necessary in order to integrate wind energy into large-scale grid power. However, wind speed presents diverse and complex seasonal and stochastic characteristics that impose challenges on wind speed forecasting models. This study proposes a Quaternion Convolutional Neural Network combined with a Bi-directional Long Short-Term Memory recurrent network to forecast wind speed. Quaternion Convolutional Neural Network is used to elicit more effective features from the stochastic sub-signals of wind speed. A new decomposition method is also proposed, comprising variational mode decomposition to decompose the wind speed data into optimal signal components, and an improved arithmetic optimisation algorithm to optimise the parameters of the variational mode decomposition. Furthermore, a fast and effective hyper-parameters tuner is introduced in order to adjust the hyper-parameters and architecture of the proposed hybrid forecasting model. The proposed forecasting model is developed based on data collected from Lesvos and Samothraki Greek islands located in the North Aegean Sea with the forecasting range in one-day ahead (long-term) and achieved considerable accuracy improvements in these case studies compared with the bi-directional long short-term memory model at 13% and 20%, respectively. The experimental outcomes confirm that, first, the proposed hybrid forecasting model considerably outperforms the five existing machine learning and two hybrid models in terms of precision and stability

    Women Without Men. The cinematic presentation of literature in the works of the Iranian exile artist Shirin Neshat

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    Die Diplomarbeit mit dem Titel"?Women Without Men. Die filmische Umsetzung literarischer Vorlagen im Werk der iranischen Exilkünstlerin Shirin Neshat" beschäftigt sich mit dem Leben und dem Werdegang der Künstlerin Shirin Neshat. Ihre Fotoarbeiten und Videoinstallationen werden beispielhaft erwähnt und zeichnen den künstlerischen Weg der Exil-Iranerin nach, bis hin zu ihrem ersten Spielfilm, der Adaption des magisch-realistischen Romans WOMEN WITHOUT MEN. Der Gebrauch von Literatur als Teil ihrer Kunstwerke oder nur als Inspiration für solche wird in dieser Arbeit behandelt.Das erste Kapitel dieser Arbeit beschäftigt sich verstärkt mit dem Hintergrund der Künstlerin. Zur Klärung der Frage nach der Intention ihres Schaffens ist es wichtig, ihre Herkunft zu erwähnen und zu erläutern, in welcher Beziehung sie zu ihrer Heimat, dem Iran, steht.Das zweite Kapitel hat den Beginn der Zusammenarbeit von Shirin Neshat und der Autorin des Romans WOMEN WITHOUT MEN, Shahrnush Parsipur, zum Inhalt. Mit dem Thema der Umsetzung der Filmadaption von WOMEN WITHOUT MEN im dritten Kapitel soll Neshats bisherige intensive Beschäftigung mit Literatur als großes und lange Zeit in Anspruch nehmendes Werk gezeigt werden.Diese Diplomarbeit beinhaltet keine exakte Werkauflistung der Künstlerin, versucht aber, mit einem Schwerpunkt auf den Arbeiten zum Roman WOMEN WITHOUT MEN, den Stil und die wichtigsten Themen Shirin Neshats Kunst darzustellen.The thesis with the title "Women Without Men. The cinematic presentation of literature in the works of the Iranian exile artist Shirin Neshat" deals with the life and career of the artist Shirin Neshat with a particular focus on the use of literature as part of her art, or least as inspiration for it. Her artistic development culminating in the movie adaptation of Women Without Men is illustrated by addressing her photography and video installations. To clarify the intention of Neshats work, it is important to mention her origin and to explain the relationship between Shirin Neshat and her native country, Iran. Thus the first chapter analyses the background of the artist.The second chapter depicts the commencing collaboration between her and the author Shahrnush Parsipur, who wrote Women Without Men, a novel about five different Iranian women in the 1950ies.Through the topic of transforming the novel into an adapted version for filming and further into a movie, the third chapter depicts Shirin Neshats long and time consuming dedication for (and study of) literature.The present thesis doesn?t provide an exact list of Shirin Neshat?s work, but tries to portray the style and the most important aspects of her artwork through emphasising on her first feature film Women Without Men.vorgelegt von Angela HaberzettlZsfassung dt. u. engl. SpracheGraz, Univ., Dipl.-Arb., 2014 2015

    Women Without Men. The cinematic presentation of literature in the works of the Iranian exile artist Shirin Neshat

    No full text
    Die Diplomarbeit mit dem Titel"?Women Without Men. Die filmische Umsetzung literarischer Vorlagen im Werk der iranischen Exilkünstlerin Shirin Neshat" beschäftigt sich mit dem Leben und dem Werdegang der Künstlerin Shirin Neshat. Ihre Fotoarbeiten und Videoinstallationen werden beispielhaft erwähnt und zeichnen den künstlerischen Weg der Exil-Iranerin nach, bis hin zu ihrem ersten Spielfilm, der Adaption des magisch-realistischen Romans WOMEN WITHOUT MEN. Der Gebrauch von Literatur als Teil ihrer Kunstwerke oder nur als Inspiration für solche wird in dieser Arbeit behandelt.Das erste Kapitel dieser Arbeit beschäftigt sich verstärkt mit dem Hintergrund der Künstlerin. Zur Klärung der Frage nach der Intention ihres Schaffens ist es wichtig, ihre Herkunft zu erwähnen und zu erläutern, in welcher Beziehung sie zu ihrer Heimat, dem Iran, steht.Das zweite Kapitel hat den Beginn der Zusammenarbeit von Shirin Neshat und der Autorin des Romans WOMEN WITHOUT MEN, Shahrnush Parsipur, zum Inhalt. Mit dem Thema der Umsetzung der Filmadaption von WOMEN WITHOUT MEN im dritten Kapitel soll Neshats bisherige intensive Beschäftigung mit Literatur als großes und lange Zeit in Anspruch nehmendes Werk gezeigt werden.Diese Diplomarbeit beinhaltet keine exakte Werkauflistung der Künstlerin, versucht aber, mit einem Schwerpunkt auf den Arbeiten zum Roman WOMEN WITHOUT MEN, den Stil und die wichtigsten Themen Shirin Neshats Kunst darzustellen.The thesis with the title "Women Without Men. The cinematic presentation of literature in the works of the Iranian exile artist Shirin Neshat" deals with the life and career of the artist Shirin Neshat with a particular focus on the use of literature as part of her art, or least as inspiration for it. Her artistic development culminating in the movie adaptation of Women Without Men is illustrated by addressing her photography and video installations. To clarify the intention of Neshats work, it is important to mention her origin and to explain the relationship between Shirin Neshat and her native country, Iran. Thus the first chapter analyses the background of the artist.The second chapter depicts the commencing collaboration between her and the author Shahrnush Parsipur, who wrote Women Without Men, a novel about five different Iranian women in the 1950ies.Through the topic of transforming the novel into an adapted version for filming and further into a movie, the third chapter depicts Shirin Neshats long and time consuming dedication for (and study of) literature.The present thesis doesn?t provide an exact list of Shirin Neshat?s work, but tries to portray the style and the most important aspects of her artwork through emphasising on her first feature film Women Without Men.vorgelegt von Angela HaberzettlZsfassung dt. u. engl. SpracheGraz, Univ., Dipl.-Arb., 2014 2015

    Optimization of Multilevel Inverters Using Novelty-driven Multi-verse Optimization Algorithm

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    All over the world, renewable energy technologies which need power electronics based inverters in their designs are becoming more and more popular, thus detailed analysis to test the operational efficiency is required. This paper utilizes a new adaptive Multi-verse Optimization (MVO) Algorithm combined with novelty search method to solve harmonic elimination problem in multilevel inverters. We compare the obtained numerical simulations to those obtained by using the grey wolf optimization and standard MVO algorithm. The numerical simulations are performed on 7, 11, and 15 level inverters with different modulation indexes. From the simulation results, we observe that adaptive novelty search Multi-verse Optimization (MVO) based approach was able to obtain less total harmonic distortion for different modulation indexes.No Full Tex

    Cascaded H-bridge multilevel inverters optimization using adaptive grey wolf optimizer with local search

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    With the transformation of transmission and distribution grids into smart grids that are more dominated by renewable energy, power electronics-based inverters that can improve power quality are becoming more visible. In order to maximize the output voltage quality and reduce the total harmonic distortion (THD), efficient operation of inverters is required. Therefore, in this paper, the problem of harmonic elimination in multilevel inverters is solved by using an adaptive grey wolf optimizer with local search. We have performed a grid search-based landscape analysis of the seven-level inverter to understand the behaviour of the proposed algorithm. For verification, the numerical results of the proposed adaptive grey wolf optimizer are compared with those of the original grey wolf optimization algorithm, a modified version of the grey wolf optimization algorithm, the particle swarm optimization algorithm, multi-verse optimization algorithm, and salp swarm algorithm. In the simulations, we solved the optimization model for three different structures of multilevel inverters (7, 11, and 15 levels) by changing the modulation indexes. It is found that the adaptive grey wolf optimization provides lower total harmonic distortion for different modulation indexes
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