Pub Date : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850430
A. Hammoda, Mohammed Buamud, M. Nasr, M. Tamasas
The aim of this paper is to estimate and evaluate the dc/dc converters based on Energy factor and sub-sequential parameters to obtain mathematical model of power DC/DC converters (second order transfer function for any number of capacitors and inductors). The Elementary of positive output voltage-lift DC/DC Luo-converter and two stages positive output cascade boost converter super-lift DC/DC Luo-converter are chosen as the main focus case study of this paper. A computer simulation using NI SIMULINK results have been presented to verify the presented theoretical analysis.
{"title":"Estimation of advanced DC/DC Luo-converters based on Energy factor and sub-sequential parameters","authors":"A. Hammoda, Mohammed Buamud, M. Nasr, M. Tamasas","doi":"10.1109/ENERGYCON.2014.6850430","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850430","url":null,"abstract":"The aim of this paper is to estimate and evaluate the dc/dc converters based on Energy factor and sub-sequential parameters to obtain mathematical model of power DC/DC converters (second order transfer function for any number of capacitors and inductors). The Elementary of positive output voltage-lift DC/DC Luo-converter and two stages positive output cascade boost converter super-lift DC/DC Luo-converter are chosen as the main focus case study of this paper. A computer simulation using NI SIMULINK results have been presented to verify the presented theoretical analysis.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303207","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850520
M. Benatia, A. Louis, D. Baudry, B. Mazari, A. El Hami
Recently, wireless sensor networks are more and more used in smart building applications, due to their capability to collect data on all phenomena that happens in the building. The most important problem related to this kind of networks, is the limited lifetime of nodes, caused by their finite embedded source of energy (batteries). In order to reduce the impact of this problem, proper node model must be defined. In this work, we propose a behavior modeling of a sensor node. We evaluate the performance of our model and show the impact of the number of nodes and their placement on the maintenance cost of network. Presented results can provide guidelines for real sensor network deployment.
{"title":"WSN's modeling for a smart building application","authors":"M. Benatia, A. Louis, D. Baudry, B. Mazari, A. El Hami","doi":"10.1109/ENERGYCON.2014.6850520","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850520","url":null,"abstract":"Recently, wireless sensor networks are more and more used in smart building applications, due to their capability to collect data on all phenomena that happens in the building. The most important problem related to this kind of networks, is the limited lifetime of nodes, caused by their finite embedded source of energy (batteries). In order to reduce the impact of this problem, proper node model must be defined. In this work, we propose a behavior modeling of a sensor node. We evaluate the performance of our model and show the impact of the number of nodes and their placement on the maintenance cost of network. Presented results can provide guidelines for real sensor network deployment.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132352845","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850494
I. Ramljak, M. Majstrović, E. Sutlovic
Fire ignition as a consequence of conductor clashing has happened in many countries all over the world. These fires can cause severe environmental (forest fires) and financial damage, and even be potential life-threatening. The goal of the article is to describe the processes which occur when two live conductor clash together. The most dangerous product of conductor clashing are particles (sparks), which fall to the ground, while being hot enough to potentially start a fire. Primary, by defining of those sparks we can do the first step which would lead to the answer: “Is conductor clashing the cause of fires?” Conductor clashing was simulated in two environmental conditions. The first one was in a live low voltage electricity distribution network as line-to-line short circuit and the second one was in laboratory conditions. Al/Fe conductors of the same characteristics were used in both simulations. Simulations were recorded with high speed camera. Statistical analysis of particles and their probability density function (PDF) are presented in this paper. PDF calculation may be a part of additional criteria on power system protection adjustment.
{"title":"Statistical analysis of particles of conductor clashing","authors":"I. Ramljak, M. Majstrović, E. Sutlovic","doi":"10.1109/ENERGYCON.2014.6850494","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850494","url":null,"abstract":"Fire ignition as a consequence of conductor clashing has happened in many countries all over the world. These fires can cause severe environmental (forest fires) and financial damage, and even be potential life-threatening. The goal of the article is to describe the processes which occur when two live conductor clash together. The most dangerous product of conductor clashing are particles (sparks), which fall to the ground, while being hot enough to potentially start a fire. Primary, by defining of those sparks we can do the first step which would lead to the answer: “Is conductor clashing the cause of fires?” Conductor clashing was simulated in two environmental conditions. The first one was in a live low voltage electricity distribution network as line-to-line short circuit and the second one was in laboratory conditions. Al/Fe conductors of the same characteristics were used in both simulations. Simulations were recorded with high speed camera. Statistical analysis of particles and their probability density function (PDF) are presented in this paper. PDF calculation may be a part of additional criteria on power system protection adjustment.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199485","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850411
P. Tourou, C. Sourkounis
Asymmetrical voltage conditions in the grid can have significant negative effects on the performance of wind energy conversion systems (WECS) equipped with doubly-fed induction generators (DFIG). Transient peaks as well as steady-state second-order and higher frequency harmonics are introduced in the active and reactive output powers, in the DC-link voltage and in the toque produced by the WECS. These effects can decrease the lifetime of the system and in extreme cases they can lead to violation of the grid code requirements as the system will not be able to ride-through the fault. Protective measures must be taken so that the WECS remains connected to the grid and fulfills the low voltage ride-through requirements, without putting the reliability of the system at risk. In this paper the dynamic behavior of the DFIG-based WECS in the case asymmetrical voltage dips is analyzed. A control strategy is presented, which minimizes the negative effects of voltage dips on the WECS and enables it to `ride-through' the fault safely. With this strategy the wind energy conversion system can support the voltage recovery during and after the fault and it can fulfill the demanding grid code requirements.
{"title":"Investigation of fault ride-through behavior of DFIG-based wind energy conversion systems","authors":"P. Tourou, C. Sourkounis","doi":"10.1109/ENERGYCON.2014.6850411","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850411","url":null,"abstract":"Asymmetrical voltage conditions in the grid can have significant negative effects on the performance of wind energy conversion systems (WECS) equipped with doubly-fed induction generators (DFIG). Transient peaks as well as steady-state second-order and higher frequency harmonics are introduced in the active and reactive output powers, in the DC-link voltage and in the toque produced by the WECS. These effects can decrease the lifetime of the system and in extreme cases they can lead to violation of the grid code requirements as the system will not be able to ride-through the fault. Protective measures must be taken so that the WECS remains connected to the grid and fulfills the low voltage ride-through requirements, without putting the reliability of the system at risk. In this paper the dynamic behavior of the DFIG-based WECS in the case asymmetrical voltage dips is analyzed. A control strategy is presented, which minimizes the negative effects of voltage dips on the WECS and enables it to `ride-through' the fault safely. With this strategy the wind energy conversion system can support the voltage recovery during and after the fault and it can fulfill the demanding grid code requirements.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134405832","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850598
T. Sarikurt, Murat Ceylan, A. Balikci
Lithium-ion polymer batteries are getting popular in both renewable energy systems and electric vehicles thanks to their high power and energy density. Therefore, accurate battery models are vital in design and simulation of hybrid/electric vehicle propulsion systems. In this work a novel equivalent circuit-mathematical battery model whose parameters were extracted from experimental data is proposed. Also a method was proposed in order to estimate battery cycle number using ECE 15 driving cycle and to obtain state of health (SoH) of a battery using the cycle number is introduced. The results of both evaluation of the model and the method were compared with actual results obtained from a series of experiments carried out using an automotive-grade 11Ah Kokam SLBP lithium-ion polymer battery.
{"title":"A hybrid battery model and state of health estimation method for lithium-ion batteries","authors":"T. Sarikurt, Murat Ceylan, A. Balikci","doi":"10.1109/ENERGYCON.2014.6850598","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850598","url":null,"abstract":"Lithium-ion polymer batteries are getting popular in both renewable energy systems and electric vehicles thanks to their high power and energy density. Therefore, accurate battery models are vital in design and simulation of hybrid/electric vehicle propulsion systems. In this work a novel equivalent circuit-mathematical battery model whose parameters were extracted from experimental data is proposed. Also a method was proposed in order to estimate battery cycle number using ECE 15 driving cycle and to obtain state of health (SoH) of a battery using the cycle number is introduced. The results of both evaluation of the model and the method were compared with actual results obtained from a series of experiments carried out using an automotive-grade 11Ah Kokam SLBP lithium-ion polymer battery.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134373353","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850522
H. Cha, Jin-Young Choi, Dongjun Won
The demand response (DR) is a key technology in smart grid and can solve the transmission line congestion, defer generation plants construction, and increase the system stability. This paper proposes the operation scheme of an industrial load, which participates in DR, considering the electricity price and the labor costs. The proposed scheduling scheme economically shifts the operation time of the industrial load from the emergency DR (EDR) time to the off-peak time. The proposed algorithm is tested in a hardware in the loop Simulation (HILS) system with OPAL-RT. The HILS system was composed of agents to manage the distributed generation(DG), energy storage system (ESS), smart load, and MicroGrid Central Controller (MGCC) to control and monitor the whole system. The simulation results by MATLAB show that the proposed algorithm effectively manages the smart load in Real-time pricing and EDR and a communication test is performed in the HILS system.
{"title":"Smart load management in demand response using microgrid EMS","authors":"H. Cha, Jin-Young Choi, Dongjun Won","doi":"10.1109/ENERGYCON.2014.6850522","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850522","url":null,"abstract":"The demand response (DR) is a key technology in smart grid and can solve the transmission line congestion, defer generation plants construction, and increase the system stability. This paper proposes the operation scheme of an industrial load, which participates in DR, considering the electricity price and the labor costs. The proposed scheduling scheme economically shifts the operation time of the industrial load from the emergency DR (EDR) time to the off-peak time. The proposed algorithm is tested in a hardware in the loop Simulation (HILS) system with OPAL-RT. The HILS system was composed of agents to manage the distributed generation(DG), energy storage system (ESS), smart load, and MicroGrid Central Controller (MGCC) to control and monitor the whole system. The simulation results by MATLAB show that the proposed algorithm effectively manages the smart load in Real-time pricing and EDR and a communication test is performed in the HILS system.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132314003","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850439
P. Chusovitin, A. Pazderin
The paper presents results of the research devoted to PMU-based power system small-signal stability monitoring. Proposed method allows tracking in-phase groups of generators and critical generators in the groups by analyzing low-frequency oscillations. Further developed, method is able to identify proximity to power system stability boundary. The technique developed is based on power system equivalent model identification. Identification procedure exploits PMU data. In the paper, applicability of the technique is demonstrated using 9-node power system model.
{"title":"Small-signal stability monitoring using PMU","authors":"P. Chusovitin, A. Pazderin","doi":"10.1109/ENERGYCON.2014.6850439","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850439","url":null,"abstract":"The paper presents results of the research devoted to PMU-based power system small-signal stability monitoring. Proposed method allows tracking in-phase groups of generators and critical generators in the groups by analyzing low-frequency oscillations. Further developed, method is able to identify proximity to power system stability boundary. The technique developed is based on power system equivalent model identification. Identification procedure exploits PMU data. In the paper, applicability of the technique is demonstrated using 9-node power system model.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122538433","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850585
Edgar Galván-López, C. Harris, L. Trujillo, K. Rodríguez-Vázquez, S. Clarke, V. Cahill
Smart Grid (SG) technologies are becoming increasingly dynamic, motivating the use of computational intelligence to support the SG by predicting and intelligently responding to certain requests (e.g, reducing electricity costs given fluctuating prices). The presented work intends to do precisely this, to make intelligent decisions to switch on electric devices at times when the electricity price (prices that change over time) is the lowest while at the same time attempting to balance energy usage by avoiding turning on multiple devices at the same time, whenever possible. To this end, we use Monte Carlo Tree Search (MCTS), a real-time decision algorithm. MCTS takes into consideration what might happen in the future by approximating what other entities/agents (electric devices) might do via Monte Carlo simulations. We propose two variants of this method: (a) maxn MCTS approach where the competition for resources (e.g, lowest electricity price) happens in one single decision tree and where all the devices are considered, and (b) two-agent MCTS approach, where the competition for resources is distributed among various decision trees. To validate our results, we used two scenarios, a rather simple one where there are no constraints associated to the problem, and another more complex, and realistic scenario with equality and inequality constraints associated to the problem. The results achieved by this real-time decision tree algorithm are very promising, specially those achieved by the maxn MCTS approach.
{"title":"Autonomous Demand-Side Management system based on Monte Carlo Tree Search","authors":"Edgar Galván-López, C. Harris, L. Trujillo, K. Rodríguez-Vázquez, S. Clarke, V. Cahill","doi":"10.1109/ENERGYCON.2014.6850585","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850585","url":null,"abstract":"Smart Grid (SG) technologies are becoming increasingly dynamic, motivating the use of computational intelligence to support the SG by predicting and intelligently responding to certain requests (e.g, reducing electricity costs given fluctuating prices). The presented work intends to do precisely this, to make intelligent decisions to switch on electric devices at times when the electricity price (prices that change over time) is the lowest while at the same time attempting to balance energy usage by avoiding turning on multiple devices at the same time, whenever possible. To this end, we use Monte Carlo Tree Search (MCTS), a real-time decision algorithm. MCTS takes into consideration what might happen in the future by approximating what other entities/agents (electric devices) might do via Monte Carlo simulations. We propose two variants of this method: (a) maxn MCTS approach where the competition for resources (e.g, lowest electricity price) happens in one single decision tree and where all the devices are considered, and (b) two-agent MCTS approach, where the competition for resources is distributed among various decision trees. To validate our results, we used two scenarios, a rather simple one where there are no constraints associated to the problem, and another more complex, and realistic scenario with equality and inequality constraints associated to the problem. The results achieved by this real-time decision tree algorithm are very promising, specially those achieved by the maxn MCTS approach.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122815035","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850483
M. Moradzadeh, B. Zwaenepoel, J. Van de Vyver, L. Vandevelde
Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.
{"title":"Congestion-induced wind curtailment mitigation using energy storage","authors":"M. Moradzadeh, B. Zwaenepoel, J. Van de Vyver, L. Vandevelde","doi":"10.1109/ENERGYCON.2014.6850483","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850483","url":null,"abstract":"Allowing the connection of additional renewable energy sources (RES) in areas with limited transmission capacity is becoming of a serious concern. Building new transmission lines only provides a long-term solution to cope with this issue due to the fact that it takes much longer time (up to 5-10 years) compared to time needed to build new wind farms (about 1 year). Storage is proven to be an effective solution to make maximal use of existing grid infrastructures in the short-term. This paper proposes a cost-benefit optimization formulation for optimally sizing the storage in a wind-storage system which is connected to an external spot market via limited transmission lines. A small test system is studied in order to find the optimal size of storage to avoid congestion by allowing revenue to be generated only via reducing the congestion-induced wind curtailment. Additional revenue streams can be also included to maximize the monetary value of the wind-storage system.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127749216","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 : 2014-05-13DOI: 10.1109/ENERGYCON.2014.6850566
M. Celidonio, E. Fionda, L. Pulcini, E. Sergio, D. Di Zenobio
In the context of the FP7 CIP-ICT Programme, the EDISON project1 has the ambitious goal to introduce a new way of thinking lighting networks in buildings, for both retrofitting actions and new constructions. It proposes an innovative ICT-based solution for lighting infrastructure that aims to improve power efficiency, reduce CO2 emissions and encourage the use of small-scale renewable energy sources in public and private buildings. In particular, this paper focuses on a relevant aspect of the EDISON solution: the centralization of DC power supply in a LED lighting infrastructure. To this aim, a short analysis has been carried out in order to give evidence of the benefits arising from the application of this approach. Finally, preliminary results achieved in targeted Pilot actions, implemented in different European countries, have been reported.
{"title":"A centralised DC power supply solution for LED lighting networks","authors":"M. Celidonio, E. Fionda, L. Pulcini, E. Sergio, D. Di Zenobio","doi":"10.1109/ENERGYCON.2014.6850566","DOIUrl":"https://doi.org/10.1109/ENERGYCON.2014.6850566","url":null,"abstract":"In the context of the FP7 CIP-ICT Programme, the EDISON project1 has the ambitious goal to introduce a new way of thinking lighting networks in buildings, for both retrofitting actions and new constructions. It proposes an innovative ICT-based solution for lighting infrastructure that aims to improve power efficiency, reduce CO2 emissions and encourage the use of small-scale renewable energy sources in public and private buildings. In particular, this paper focuses on a relevant aspect of the EDISON solution: the centralization of DC power supply in a LED lighting infrastructure. To this aim, a short analysis has been carried out in order to give evidence of the benefits arising from the application of this approach. Finally, preliminary results achieved in targeted Pilot actions, implemented in different European countries, have been reported.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"90 2 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129178570","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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