Jeronimo Ramos-Teodoro, M. Castilla, J. D. Álvarez, F. Rodríguez-Díaz, M. Berenguel
Energy and other resources management in production systems is a common topic in recent literature as many environmental and economic issues are related to the efficient use of their devices. In this sense, conversion and storage models based on input-output balances are helpful to determine the combination of resources that allow to operate a plant with the lowest possible cost. This paper is aimed at analyzing the optimal flows of resources that would meet the demands of a bioclimatic building, taking into account the characteristics of its facilities, which includes both photovoltaic modules and solar collectors to produce self-consumption electric and thermal energy. The simulation results for two different days of 2018 have been included. They verify the validity of the proposed model, which could be extended for carrying out analyses on similar buildings, modelled as an energy hub, in order to assess its optimality and proposing management policies.
{"title":"Economic dispatch of a bioclimatic office building considering thermal energy, electricity and water demands","authors":"Jeronimo Ramos-Teodoro, M. Castilla, J. D. Álvarez, F. Rodríguez-Díaz, M. Berenguel","doi":"10.24084/repqj18.435","DOIUrl":"https://doi.org/10.24084/repqj18.435","url":null,"abstract":"Energy and other resources management in production systems is a common topic in recent literature as many environmental and economic issues are related to the efficient use of their devices. In this sense, conversion and storage models based on input-output balances are helpful to determine the combination of resources that allow to operate a plant with the lowest possible cost. This paper is aimed at analyzing the optimal flows of resources that would meet the demands of a bioclimatic building, taking into account the characteristics of its facilities, which includes both photovoltaic modules and solar collectors to produce self-consumption electric and thermal energy. The simulation results for two different days of 2018 have been included. They verify the validity of the proposed model, which could be extended for carrying out analyses on similar buildings, modelled as an energy hub, in order to assess its optimality and proposing management policies.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75473006","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}
A. Eajal, A. Zidan, E. El-Saadany, M. Salama, H. Zeineldin, Advanced Power
{"title":"Reconfigurable Droop-Based DC Microgrids","authors":"A. Eajal, A. Zidan, E. El-Saadany, M. Salama, H. Zeineldin, Advanced Power","doi":"10.24084/repqj18.400","DOIUrl":"https://doi.org/10.24084/repqj18.400","url":null,"abstract":"","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87003908","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}
The paper presents a laboratory prototype of the three-phase voltage compensator with an energy storage based on supercapacitors. The system described is able to protect an isolated grid, e.g. in industry, against short voltage interruptions, dips and sags. An idea of a control method as well as a digital controller has been discussed. Experimental results are also included.
{"title":"Cascaded Multilevel Converter as a Voltage Compensator","authors":"J. Iwaszkiewicz, A. Muc","doi":"10.24084/repqj18.473","DOIUrl":"https://doi.org/10.24084/repqj18.473","url":null,"abstract":"The paper presents a laboratory prototype of the three-phase voltage compensator with an energy storage based on supercapacitors. The system described is able to protect an isolated grid, e.g. in industry, against short voltage interruptions, dips and sags. An idea of a control method as well as a digital controller has been discussed. Experimental results are also included.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83352930","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}
F. S. D. Silva, F. Santos, R. B. Otto, A. A. Braggio, M. Santos
{"title":"Proposal of the Communication Layer for a Renewable Energy Microgrid Testbed","authors":"F. S. D. Silva, F. Santos, R. B. Otto, A. A. Braggio, M. Santos","doi":"10.24084/repqj18.438","DOIUrl":"https://doi.org/10.24084/repqj18.438","url":null,"abstract":"","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79666203","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}
{"title":"Simulink model of a bifacial PV module based on the manufacturer datasheet","authors":"S. Vergura","doi":"10.24084/repqj18.456","DOIUrl":"https://doi.org/10.24084/repqj18.456","url":null,"abstract":"","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82049923","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}
M. J. Pérez-Molina, P. Eguía-López, M. Larruskain-Eskobal, A. Etxegarai-Madina, S. Apiñaniz Apiñaniz
The authors gratefully acknowledge the support from the Spanish Ministry of Economy, Industry and Competitiveness (project ENE2016-79145-R AEI/FEDER, UE), the Basque Government (GISEL research group IT1191-19), as well as from the University of the Basque Country UPV/EHU (research group funding GIU18/181).
{"title":"Fault detection based on ROCOV in a multi-terminal HVDC grid","authors":"M. J. Pérez-Molina, P. Eguía-López, M. Larruskain-Eskobal, A. Etxegarai-Madina, S. Apiñaniz Apiñaniz","doi":"10.24084/repqj18.260","DOIUrl":"https://doi.org/10.24084/repqj18.260","url":null,"abstract":"The authors gratefully acknowledge the support from the Spanish Ministry of Economy, Industry and Competitiveness (project ENE2016-79145-R AEI/FEDER, UE), the Basque Government (GISEL research group IT1191-19), as well as from the University of the Basque Country UPV/EHU (research group funding GIU18/181).","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74768401","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}
R. Matsuura, Kosuke Watanabe, Y. Yamauchi, H. Sato, R. Ohmura
. This paper reports theoretical performance analysis of the hydrate-based refrigeration system. The hydrate-based refrigerator transfers thermal energy through the cycle of following processes: adiabatic compression of guest compounds and water, hydrate formation, adiabatic expansion of hydrates, hydrate dissociation. The theoretical analyses and COP calculations were performed in the each of the following hydrate-forming systems: HFC-32+cyclopentane(CP) +water, Kr+CP+water, and HFC-41+CP+water system. Practical utility of hydrate-based refrigerator is discussed based on the comparison with the Carnot cycle.
{"title":"Theoretical performance analysis of hydrate-based refrigeration system","authors":"R. Matsuura, Kosuke Watanabe, Y. Yamauchi, H. Sato, R. Ohmura","doi":"10.24084/REPQJ17.238","DOIUrl":"https://doi.org/10.24084/REPQJ17.238","url":null,"abstract":". This paper reports theoretical performance analysis of the hydrate-based refrigeration system. The hydrate-based refrigerator transfers thermal energy through the cycle of following processes: adiabatic compression of guest compounds and water, hydrate formation, adiabatic expansion of hydrates, hydrate dissociation. The theoretical analyses and COP calculations were performed in the each of the following hydrate-forming systems: HFC-32+cyclopentane(CP) +water, Kr+CP+water, and HFC-41+CP+water system. Practical utility of hydrate-based refrigerator is discussed based on the comparison with the Carnot cycle.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91524900","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}
David Agis Cherta, Yolanda Vidal Seguí, F. P. Montero
This paper proposes a damage diagnosis strategy to detect and classify different type of damages in a laboratory offshore-fixed wind turbine model. The proposed method combines an accelerometer sensor network attached to the structure with a conceived algorithm based on principal component analysis (PCA) with quadratic discriminant analysis (QDA). The paradigm of structural health monitoring can be undertaken as a pattern recognition problem (comparison between the data collected from the healthy structure and the current structure to diagnose given a known excitation). However, in this work, as the strategy is designed for wind turbines, only the output data from the sensors is used but the excitation is assumed unknown (as in reality is provided by the wind). The proposed methodology is tested in an experimental laboratory tower modeling an offshore-fixed jacked-type wind turbine. The obtained results show the reliability of the proposed approach.
{"title":"Damage diagnosis for offshore fixed wind turbines","authors":"David Agis Cherta, Yolanda Vidal Seguí, F. P. Montero","doi":"10.24084/REPQJ16.200","DOIUrl":"https://doi.org/10.24084/REPQJ16.200","url":null,"abstract":"This paper proposes a damage diagnosis strategy to detect and classify different type of damages in a laboratory offshore-fixed wind turbine model. The proposed method combines an accelerometer sensor network attached to the structure with a conceived algorithm based on principal component analysis (PCA) with quadratic discriminant analysis (QDA). \u0000The paradigm of structural health monitoring can be undertaken as a pattern recognition problem (comparison between the data collected from the healthy structure and the current structure to \u0000diagnose given a known excitation). However, in this work, as the strategy is designed for wind turbines, only the output data from the sensors is used but the excitation is assumed unknown (as in reality is provided by the wind). \u0000The proposed methodology is tested in an experimental laboratory tower modeling an offshore-fixed jacked-type wind turbine. \u0000The obtained results show the reliability of the proposed approach.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89113015","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}
Nowadays, datacenters are one of the most consuming devices due to the increase in cloud, web-services and high performance computing demands all over the world. To be clean and without connection to the grid, datacenters projects tempt to feed electricity with renewable energy sources and storage elements. This power production needs an energy management providing power envelopes as a constraint to the datacenter management system. This paper presents an optimization module that optimizes the IT load under renewable energy constraints and outputs the power consumed by the computing resources of a datacenter. We are able to obtain a reduction of up to 73% in the tasks violations while respecting a given power envelope
{"title":"Smart Datacenter Electrical Load Model for Renewable Sources Management","authors":"S. Caux, G. Rostirolla, P. Stolf","doi":"10.24084/repqj16.231","DOIUrl":"https://doi.org/10.24084/repqj16.231","url":null,"abstract":"Nowadays, datacenters are one of the most consuming devices due to the increase in cloud, web-services and high performance computing demands all over the world. To be clean and without connection to the grid, datacenters projects tempt to feed electricity with renewable energy sources and storage elements. This power production needs an energy management providing power envelopes as a constraint to the datacenter management system. This paper presents an optimization module that optimizes the IT load under renewable energy constraints and outputs the power consumed by the computing resources of a datacenter. We are able to obtain a reduction of up to 73% in the tasks violations while respecting a given power envelope","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81123742","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}
F. S. Avelar, P. Fritzen, M.A.A. Furucho, R. Betini
A computational model for self-recovery of electricity distribution network was developed to simulate it, emulated by the IEEE 123 nodes model. The electrical system considered has automatic switches capable of identifying a momentary fault in the line and finding the best reconfiguration for its reclosing. An artificial neural network (ANN), backpropagation, was used to classify the type of failure and determine the best reconfiguration of the distribution network. Initially, five power failure scenarios were simulated in certain different parts of the power grid, and power flow analysis via OpenDSS was performed. Following, the most suitable switching was observed within the shortest time interval to restore the power supply. In this way it is possible to identify the faulted segment in order to isolate it, leaving the smallest number of consumers in the shortest possible time without power supply. With the results of the simulations, tests and analyzes were performed to verify their robustness and speed, in the expectation that the model developed, be faster than an experienced Operator of a Distribution Center.
{"title":"Model of Restoration of Distribution Network of Electrical Energy using Artificial Neural Networks","authors":"F. S. Avelar, P. Fritzen, M.A.A. Furucho, R. Betini","doi":"10.24084/REPQJ16.272","DOIUrl":"https://doi.org/10.24084/REPQJ16.272","url":null,"abstract":"A computational model for self-recovery of electricity distribution network was developed to simulate it, emulated by the IEEE 123 nodes model. The electrical system considered has automatic switches capable of identifying a momentary fault in the line and finding the best reconfiguration for its reclosing. An artificial neural network (ANN), backpropagation, was used to classify the type of failure and determine the best reconfiguration of the distribution network. Initially, five power failure scenarios were simulated in certain different parts of the power grid, and power flow analysis via OpenDSS was performed. Following, the most suitable switching was observed within the shortest time interval to restore the power supply. In this way it is possible to identify the faulted segment in order to isolate it, leaving the smallest number of consumers in the shortest possible time without power supply. With the results of the simulations, tests and analyzes were performed to verify their robustness and speed, in the expectation that the model developed, be faster than an experienced Operator of a Distribution Center.","PeriodicalId":21007,"journal":{"name":"Renewable energy & power quality journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73021488","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：