Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854367
Boris Jalušić, Marin Vukovojac, Tomislav Lesičar, Mato Perić, Ivica Skozrit, Z. Tonković
In this study, a separated phase-field procedure has been utilized to model crack propagation in compact tension (CT) specimen machined from the pre-welded structure. The influence of the attained welding residual stresses and plastic strains on the crack propagation has been investigated. Herein, the residual stress values measured experimentally have been taken from the scientific literature while the plastic strains have been estimated using the hardening law. The phase-field (PF) framework has been implemented into finite element (FE) software Abaqus and Fortran via user subroutines. All the numerical computations have been done using plane strain assumption. It was observed that the presented PF approach can properly model crack propagation through the welded structure.
{"title":"Modelling of crack propagation in welded structure using a separated phase-field approach","authors":"Boris Jalušić, Marin Vukovojac, Tomislav Lesičar, Mato Perić, Ivica Skozrit, Z. Tonković","doi":"10.23919/SpliTech55088.2022.9854367","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854367","url":null,"abstract":"In this study, a separated phase-field procedure has been utilized to model crack propagation in compact tension (CT) specimen machined from the pre-welded structure. The influence of the attained welding residual stresses and plastic strains on the crack propagation has been investigated. Herein, the residual stress values measured experimentally have been taken from the scientific literature while the plastic strains have been estimated using the hardening law. The phase-field (PF) framework has been implemented into finite element (FE) software Abaqus and Fortran via user subroutines. All the numerical computations have been done using plane strain assumption. It was observed that the presented PF approach can properly model crack propagation through the welded structure.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854353
G. Mevoli, P. Bia, L. Mescia
In this paper, the design of supershaped dielectric lens antennas is presented. A dedicated high frequency hybrid modeling approach based on geometrical tube tracing and physical optics approximation is adopted to analyze the radiation properties as well as to evaluate the impact of the lens shape on the far field outside the lens. The effects of the multiple internal reflections are properly taken into account, too. The developed modeling procedure was applied at the frequency 140 GHz included into the unexplored frequency bands for the sixth generation (6G) of wireless communication systems. In particular, it was used to define the lens geometry providing a shaped radiation pattern having three high gain main lobes. Moreover, the effects on the radiation pattern properties due to the lens rotation around its vertical axis were investigated.
{"title":"Design of Supershaped Dielectric Lens Antenna at 140 GHz for 6 G applications","authors":"G. Mevoli, P. Bia, L. Mescia","doi":"10.23919/SpliTech55088.2022.9854353","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854353","url":null,"abstract":"In this paper, the design of supershaped dielectric lens antennas is presented. A dedicated high frequency hybrid modeling approach based on geometrical tube tracing and physical optics approximation is adopted to analyze the radiation properties as well as to evaluate the impact of the lens shape on the far field outside the lens. The effects of the multiple internal reflections are properly taken into account, too. The developed modeling procedure was applied at the frequency 140 GHz included into the unexplored frequency bands for the sixth generation (6G) of wireless communication systems. In particular, it was used to define the lens geometry providing a shaped radiation pattern having three high gain main lobes. Moreover, the effects on the radiation pattern properties due to the lens rotation around its vertical axis were investigated.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114227596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854251
M. Vujanovic, Tibor Bešenić, Miloš Radojević, N. Manić
Pollutants originating from pulverised solid fuel combustion systems are investigated with numerical simulations augmented by data from the fundamental experimental research. Nitrogen oxides formation model, with fuel nitrogen as a main pathway mechanism, was implemented in the computational fluid dynamics model for coal combustion. Partitioning of nitrogen contained in fuel is among the main characteristics influencing the final production of pollutants, but it is highly dependent on fuel type and combustion parameters. The experimental determination of intermediate chemical species during the pyrolysis of a coal sample was performed on a thermogravimetric analysis-mass spectrometry system, and it shows that the fuel nitrogen is uniformly emitted as hydrogen cyanide and ammonia-52.2% and 47.8%-while the hydrogen cyanide production pathway from char is dominant over the volatiles-84.3% and 15.7% respectively. The obtained results on the ratio of ammonia to hydrogen cyanide during fuel nitrogen devolatilisation were used as input parameters in numerical simulations. The improved model shows good results in simulating pyrolysis, making it suitable for modelling and optimisation of thermal utilisation processes on industrial scales.
{"title":"Numerical Modelling of Nitrogen Oxides Formation During Combustion of Pulverised Fuel","authors":"M. Vujanovic, Tibor Bešenić, Miloš Radojević, N. Manić","doi":"10.23919/SpliTech55088.2022.9854251","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854251","url":null,"abstract":"Pollutants originating from pulverised solid fuel combustion systems are investigated with numerical simulations augmented by data from the fundamental experimental research. Nitrogen oxides formation model, with fuel nitrogen as a main pathway mechanism, was implemented in the computational fluid dynamics model for coal combustion. Partitioning of nitrogen contained in fuel is among the main characteristics influencing the final production of pollutants, but it is highly dependent on fuel type and combustion parameters. The experimental determination of intermediate chemical species during the pyrolysis of a coal sample was performed on a thermogravimetric analysis-mass spectrometry system, and it shows that the fuel nitrogen is uniformly emitted as hydrogen cyanide and ammonia-52.2% and 47.8%-while the hydrogen cyanide production pathway from char is dominant over the volatiles-84.3% and 15.7% respectively. The obtained results on the ratio of ammonia to hydrogen cyanide during fuel nitrogen devolatilisation were used as input parameters in numerical simulations. The improved model shows good results in simulating pyrolysis, making it suitable for modelling and optimisation of thermal utilisation processes on industrial scales.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854347
F. Ascione, N. Bianco, T. Iovane, M. Mastellone, G. M. Mauro, F. Tariello
To achieve the goal of decarbonization by 2050, the existing buildings, both private and public, should be renovated. Concerning public buildings, the annual renovation rate of 3% envisaged by Directive 2012/27/EU should be increased to meet the objectives set at the European level in terms of energy efficiency. The stringent targets have been confirmed by the “fit for 55” package. In this paper, a university building in Naples (South Italy, typical Mediterranean Climate) is investigated. It is brought to the standard of nearly zero energy building through different energy efficiency measures. Based on the lifespan of the individual retrofit measure, a reasonable payback period is set. Then the incentive needed to get it is evaluated. What emerges is that greater incentives are required, even up to 80%, for interventions that have a longer lifespan, i.e., the thermal insulation of the building envelope. A form of incentive equal to 40% of the investment, on the other hand, would make it possible to pay off all the interventions in about 10 years, insulation of external vertical walls and roof, replacement of transparent building envelope and installed systems, installation of a photovoltaic system. This solution would make the building a nZEB allowing a reduction of the total primary energy consumption of about 41% and a reduction of CO2 emissions of 46%.
{"title":"Energy refurbishment of a University Mediterranean building: evaluation of the incentive share to achieve a cost-effective nZEB standard","authors":"F. Ascione, N. Bianco, T. Iovane, M. Mastellone, G. M. Mauro, F. Tariello","doi":"10.23919/SpliTech55088.2022.9854347","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854347","url":null,"abstract":"To achieve the goal of decarbonization by 2050, the existing buildings, both private and public, should be renovated. Concerning public buildings, the annual renovation rate of 3% envisaged by Directive 2012/27/EU should be increased to meet the objectives set at the European level in terms of energy efficiency. The stringent targets have been confirmed by the “fit for 55” package. In this paper, a university building in Naples (South Italy, typical Mediterranean Climate) is investigated. It is brought to the standard of nearly zero energy building through different energy efficiency measures. Based on the lifespan of the individual retrofit measure, a reasonable payback period is set. Then the incentive needed to get it is evaluated. What emerges is that greater incentives are required, even up to 80%, for interventions that have a longer lifespan, i.e., the thermal insulation of the building envelope. A form of incentive equal to 40% of the investment, on the other hand, would make it possible to pay off all the interventions in about 10 years, insulation of external vertical walls and roof, replacement of transparent building envelope and installed systems, installation of a photovoltaic system. This solution would make the building a nZEB allowing a reduction of the total primary energy consumption of about 41% and a reduction of CO2 emissions of 46%.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131183151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854219
Iakovos Pittaras, George C. Polyzos
The growing popularity and features of digital twins have made them key elements in Industry 4.0 and the Internet of Things (IoT). In this paper, we propose the use of digital twins as an indirection mechanism, instead of accessing directly the actual IoT devices, in order to offer secure sensing and actuation in IoT systems through Distributed Ledger Technologies (DLTs), which can enhance the security and transparency of such digital twins. In particular, we leverage advances in Web of Things (WoT) and permissioned blockchains to build flexible and secure digital twins. Specifically, we build smart contract-based digital twins of IoT devices that follow W3C's WoT standards. This architecture offers decentralization, immutability, auditability, and enhanced availability and reliability.
{"title":"Secure and Efficient Web of Things Digital Twins using Permissioned Blockchains","authors":"Iakovos Pittaras, George C. Polyzos","doi":"10.23919/SpliTech55088.2022.9854219","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854219","url":null,"abstract":"The growing popularity and features of digital twins have made them key elements in Industry 4.0 and the Internet of Things (IoT). In this paper, we propose the use of digital twins as an indirection mechanism, instead of accessing directly the actual IoT devices, in order to offer secure sensing and actuation in IoT systems through Distributed Ledger Technologies (DLTs), which can enhance the security and transparency of such digital twins. In particular, we leverage advances in Web of Things (WoT) and permissioned blockchains to build flexible and secure digital twins. Specifically, we build smart contract-based digital twins of IoT devices that follow W3C's WoT standards. This architecture offers decentralization, immutability, auditability, and enhanced availability and reliability.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133708883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854372
Francesco Nocera, Sergio Abascia, M. Fiore, A. Shah, M. Mongiello, Eugenio Di Sciascio, G. Acciani
Since the use of Cloud technologies has spread exponentially in the world, the use of Network intrusion detection system has become a field of vital importance in Cyber Security: with the endless growth of network traffic and the spread of new methods of attack, this type of technology has become a must that cloud environments cannot afford to ignore. The proposed approach of this work is based on machine learning and anomaly detection techniques highlights how the deep learning approach turns out to be the best weapon to identify and isolate this type of malicious attacks, surpassing in precision and accuracy approaches of pattern recognition and anomaly detection approaches more traditional like Support Vector Machine (SVM) or Decision Tree (DT). The obtained values of accuracy, precision and recall let us understand on which classes the model is able to be further improved, increasing even more already excellent values of predictions and instead underline the classes in which the model need of being improved with training data more distributed in classes that are performing below the average.
{"title":"Cyber-Attack Mitigation in Cloud-Fog Environment Using an Ensemble Machine Learning Model","authors":"Francesco Nocera, Sergio Abascia, M. Fiore, A. Shah, M. Mongiello, Eugenio Di Sciascio, G. Acciani","doi":"10.23919/SpliTech55088.2022.9854372","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854372","url":null,"abstract":"Since the use of Cloud technologies has spread exponentially in the world, the use of Network intrusion detection system has become a field of vital importance in Cyber Security: with the endless growth of network traffic and the spread of new methods of attack, this type of technology has become a must that cloud environments cannot afford to ignore. The proposed approach of this work is based on machine learning and anomaly detection techniques highlights how the deep learning approach turns out to be the best weapon to identify and isolate this type of malicious attacks, surpassing in precision and accuracy approaches of pattern recognition and anomaly detection approaches more traditional like Support Vector Machine (SVM) or Decision Tree (DT). The obtained values of accuracy, precision and recall let us understand on which classes the model is able to be further improved, increasing even more already excellent values of predictions and instead underline the classes in which the model need of being improved with training data more distributed in classes that are performing below the average.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122098581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854211
Raúl Miñón, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Gorka Zárate, Aitor Moreno-Fernandez-de-Leceta
In the last years, MLOps (Machine Learning Operations) paradigm is attracting the attention from the community, extrapolating the DevOps (Development and Operations) paradigm to the artificial intelligence (AI) development life-cycle. In this area, some challenges must be addressed to successfully deliver solutions since there are specific nuances when dealing with AI operationalization such as the model packaging or monitoring. Fortunately, interesting and helpful approaches, both from the research community and industry have emerged. However, further research is still necessary to fulfil key gaps. This paper presents a tool, MLPacker, for addressing some of them. Concretely, this tool provides mechanisms to package and deploy analytic pipelines both in REST APIs and in streaming mode. In addition, the analytic pipelines can be deployed atomically (i.e., the whole pipeline in the same machine) or in a distributed fashion (i.e., deploying each stage of the pipeline in distinct machines). In this way, users can take advantage from the cloud continuum paradigm considering edge-fog-cloud computing layers. Finally, the tool is decoupled from the training stage to avoid data scientists the integration of blocks of code in their experiments for the operationalization. Besides the package mode (REST API or streaming), the tool can be configured to perform the deployments in local or in remote machines and by using or not containers. For this aim, this paper describes the gaps this tool addresses, the detailed components and flows supported, as well as an scenario with three different case studies to better explain the research conducted.
{"title":"MLPacker: A Unified Software Tool for Packaging and Deploying Atomic and Distributed Analytic Pipelines","authors":"Raúl Miñón, Josu Díaz-de-Arcaya, Ana I. Torre-Bastida, Gorka Zárate, Aitor Moreno-Fernandez-de-Leceta","doi":"10.23919/SpliTech55088.2022.9854211","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854211","url":null,"abstract":"In the last years, MLOps (Machine Learning Operations) paradigm is attracting the attention from the community, extrapolating the DevOps (Development and Operations) paradigm to the artificial intelligence (AI) development life-cycle. In this area, some challenges must be addressed to successfully deliver solutions since there are specific nuances when dealing with AI operationalization such as the model packaging or monitoring. Fortunately, interesting and helpful approaches, both from the research community and industry have emerged. However, further research is still necessary to fulfil key gaps. This paper presents a tool, MLPacker, for addressing some of them. Concretely, this tool provides mechanisms to package and deploy analytic pipelines both in REST APIs and in streaming mode. In addition, the analytic pipelines can be deployed atomically (i.e., the whole pipeline in the same machine) or in a distributed fashion (i.e., deploying each stage of the pipeline in distinct machines). In this way, users can take advantage from the cloud continuum paradigm considering edge-fog-cloud computing layers. Finally, the tool is decoupled from the training stage to avoid data scientists the integration of blocks of code in their experiments for the operationalization. Besides the package mode (REST API or streaming), the tool can be configured to perform the deployments in local or in remote machines and by using or not containers. For this aim, this paper describes the gaps this tool addresses, the detailed components and flows supported, as well as an scenario with three different case studies to better explain the research conducted.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854225
P. Spagnolo, P. Mazzeo, Francesco Buccoliero, P. Carcagnì, C. Distante
Vehicle re-identification is currently one of the most important topics within the scientific community. Registration plate recognition may not be a sufficient solution in environments where the vehicle is observed from particular angles (e.g, laterally), or in low light conditions. For this reason, in this paper, we will focus on the study of alternative solutions, able to extract information useful for re-identification regardless of the license plate. Approaches based on the Convolutional Neural Network (CNN) will be analyzed in order to implement a methodology that can learn the salient characteristics of a vehicle and exploit them for the re-identification of the same in different areas, or at different times. The proposed approach will be tested on VeRI 776 datasets and it will be demonstrated that it overcomes the state-of-the-art approaches.
{"title":"A Deep Learning Approach for Vehicle Re-Identification","authors":"P. Spagnolo, P. Mazzeo, Francesco Buccoliero, P. Carcagnì, C. Distante","doi":"10.23919/SpliTech55088.2022.9854225","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854225","url":null,"abstract":"Vehicle re-identification is currently one of the most important topics within the scientific community. Registration plate recognition may not be a sufficient solution in environments where the vehicle is observed from particular angles (e.g, laterally), or in low light conditions. For this reason, in this paper, we will focus on the study of alternative solutions, able to extract information useful for re-identification regardless of the license plate. Approaches based on the Convolutional Neural Network (CNN) will be analyzed in order to implement a methodology that can learn the salient characteristics of a vehicle and exploit them for the re-identification of the same in different areas, or at different times. The proposed approach will be tested on VeRI 776 datasets and it will be demonstrated that it overcomes the state-of-the-art approaches.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"729 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114929777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854303
Tomislav Seser, V. Pleština, Frane Marjanica
In a web application, communication between the application and the database server is one of the most resource intensive operations which therefore requires optimization. Database optimization is a challenging task where even a minor change can have a big impact on overall application performance. Prepared statements bring two main advantages: security and consistency. They are often considered to also have a performance advantage but, in this paper, it will be shown how prepared statements can have decremental performance impact, and when they should and should not be used if resources and performance is a concern.
{"title":"Performance analysis of SQL Prepared Statements in CRUD operations","authors":"Tomislav Seser, V. Pleština, Frane Marjanica","doi":"10.23919/SpliTech55088.2022.9854303","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854303","url":null,"abstract":"In a web application, communication between the application and the database server is one of the most resource intensive operations which therefore requires optimization. Database optimization is a challenging task where even a minor change can have a big impact on overall application performance. Prepared statements bring two main advantages: security and consistency. They are often considered to also have a performance advantage but, in this paper, it will be shown how prepared statements can have decremental performance impact, and when they should and should not be used if resources and performance is a concern.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An energy community with photovoltaic (PV) gener-ation, Electric Vehicles (EV s), static storage and grid connection is considered. The problem of sizing (PV, static battery and grid connection) and operation of the community is addressed. The problem is posed as a two stage stochastic linear optimization problem with uncertainty, modeled through scenarios, in demand, energy prices and PV generation. The objective function is to minimize the total cost (investment + operation). The main question is how much static battery storage (endogenous variable) is needed in addition to the storage provided by the EV s. The EV s batteries size are data. The effect of demand side management is also studied, and a sensitivity analysis is performed on the amortization cost of PV and the static storage. Results are illustrated on a community with 11 homes and 11 EVs.
{"title":"How much static storage capacity is needed to maximize the profitability of an energy community with electric vehicles?","authors":"Ruben Martinez Martinez, Alejandro Lopez Bueno, Sebastián Martín","doi":"10.23919/SpliTech55088.2022.9854265","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854265","url":null,"abstract":"An energy community with photovoltaic (PV) gener-ation, Electric Vehicles (EV s), static storage and grid connection is considered. The problem of sizing (PV, static battery and grid connection) and operation of the community is addressed. The problem is posed as a two stage stochastic linear optimization problem with uncertainty, modeled through scenarios, in demand, energy prices and PV generation. The objective function is to minimize the total cost (investment + operation). The main question is how much static battery storage (endogenous variable) is needed in addition to the storage provided by the EV s. The EV s batteries size are data. The effect of demand side management is also studied, and a sensitivity analysis is performed on the amortization cost of PV and the static storage. Results are illustrated on a community with 11 homes and 11 EVs.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129832783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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