Energy

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On specific energy consumption of conventional, series hybrid and fully electric buses


Making use of a specifically designed SW tool, the authors here presents the results of an activity for the evaluation of energy consumption of buses for urban applications. Both conventional and innovative transport means are considered to obtain interesting comparative conclusions. The SW tool simulates the dynamical behaviour of the vehicles on really measured paths making it possible to evaluate their energetic performances on a Tank to Wheel (TTW) basis. Those data, on such a wide and comparable range were still unavailable in literature.

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Dataset Details

Citation Author(s):
Submitted by:
Carlo Villante
Last updated:
Wed, 03/28/2018 - 10:51
DOI:
10.21227/H2M62R
 
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[1] , "On specific energy consumption of conventional, series hybrid and fully electric buses", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2M62R. Accessed: Jul. 17, 2018.
@data{h2m62r-17,
doi = {10.21227/H2M62R},
url = {http://dx.doi.org/10.21227/H2M62R},
author = { },
publisher = {IEEE Dataport},
title = {On specific energy consumption of conventional, series hybrid and fully electric buses},
year = {2017} }
TY - DATA
T1 - On specific energy consumption of conventional, series hybrid and fully electric buses
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2M62R
ER -
. (2017). On specific energy consumption of conventional, series hybrid and fully electric buses. IEEE Dataport. http://dx.doi.org/10.21227/H2M62R
, 2017. On specific energy consumption of conventional, series hybrid and fully electric buses. Available at: http://dx.doi.org/10.21227/H2M62R.
. (2017). "On specific energy consumption of conventional, series hybrid and fully electric buses." Web.
1. . On specific energy consumption of conventional, series hybrid and fully electric buses [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2M62R
. "On specific energy consumption of conventional, series hybrid and fully electric buses." doi: 10.21227/H2M62R

Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink


The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.

 

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:01
DOI:
10.21227/H2463S
Data Format:
Links:
 
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[1] , "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2463S. Accessed: Jul. 17, 2018.
@data{h2463s-17,
doi = {10.21227/H2463S},
url = {http://dx.doi.org/10.21227/H2463S},
author = { },
publisher = {IEEE Dataport},
title = {Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink},
year = {2017} }
TY - DATA
T1 - Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2463S
ER -
. (2017). Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H2463S
, 2017. Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink. Available at: http://dx.doi.org/10.21227/H2463S.
. (2017). "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." Web.
1. . Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2463S
. "Modeling and Simulation of Photovoltaic Arrays in Matlab and Simulink." doi: 10.21227/H2463S

Study on Three-Phase Photovoltaic Systems under Grid Faults


The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:17
DOI:
10.21227/H25633
Data Format:
Links:
 
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[1] , "Study on Three-Phase Photovoltaic Systems under Grid Faults", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H25633. Accessed: Jul. 17, 2018.
@data{h25633-17,
doi = {10.21227/H25633},
url = {http://dx.doi.org/10.21227/H25633},
author = { },
publisher = {IEEE Dataport},
title = {Study on Three-Phase Photovoltaic Systems under Grid Faults},
year = {2017} }
TY - DATA
T1 - Study on Three-Phase Photovoltaic Systems under Grid Faults
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H25633
ER -
. (2017). Study on Three-Phase Photovoltaic Systems under Grid Faults. IEEE Dataport. http://dx.doi.org/10.21227/H25633
, 2017. Study on Three-Phase Photovoltaic Systems under Grid Faults. Available at: http://dx.doi.org/10.21227/H25633.
. (2017). "Study on Three-Phase Photovoltaic Systems under Grid Faults." Web.
1. . Study on Three-Phase Photovoltaic Systems under Grid Faults [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H25633
. "Study on Three-Phase Photovoltaic Systems under Grid Faults." doi: 10.21227/H25633

300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems


This paper describes a set of 300 pseudo-random task graphs which can be used for evaluating Mobile Cloud, Fog and Edge computing systems. The pseudo-random task graphs are based upon graphs that have previously appeared in IEEE papers. The graphs are described in Matlab code, which is easy to read, edit and execute. Each task has an amount of computational work to perform, expressed in Mega-cycles per second. Each edge has an amount of data to transfer between tasks, expressed in Kilobits or Kilobytes of data.

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Citation Author(s):
Submitted by:
Ted Szymanski
Last updated:
Sun, 07/15/2018 - 20:41
DOI:
10.21227/kak5-8n96
Data Format:
Links:
 
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[1] , "300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/kak5-8n96. Accessed: Jul. 17, 2018.
@data{kak5-8n96-18,
doi = {10.21227/kak5-8n96},
url = {http://dx.doi.org/10.21227/kak5-8n96},
author = { },
publisher = {IEEE Dataport},
title = {300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems},
year = {2018} }
TY - DATA
T1 - 300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/kak5-8n96
ER -
. (2018). 300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems. IEEE Dataport. http://dx.doi.org/10.21227/kak5-8n96
, 2018. 300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems. Available at: http://dx.doi.org/10.21227/kak5-8n96.
. (2018). "300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems." Web.
1. . 300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/kak5-8n96
. "300 Pseudo-Random Task Graphs for Evaluating Mobile Cloud, Fog and Edge Computing Systems." doi: 10.21227/kak5-8n96

Optimized Power Source Integration (OPSI)


Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems

In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.

License: Creative Commons Attribution

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 22:50
DOI:
10.21227/H2D66D
Data Format:
Links:
 
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[1] , "Optimized Power Source Integration (OPSI)", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2D66D. Accessed: Jul. 17, 2018.
@data{h2d66d-18,
doi = {10.21227/H2D66D},
url = {http://dx.doi.org/10.21227/H2D66D},
author = { },
publisher = {IEEE Dataport},
title = {Optimized Power Source Integration (OPSI)},
year = {2018} }
TY - DATA
T1 - Optimized Power Source Integration (OPSI)
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2D66D
ER -
. (2018). Optimized Power Source Integration (OPSI). IEEE Dataport. http://dx.doi.org/10.21227/H2D66D
, 2018. Optimized Power Source Integration (OPSI). Available at: http://dx.doi.org/10.21227/H2D66D.
. (2018). "Optimized Power Source Integration (OPSI)." Web.
1. . Optimized Power Source Integration (OPSI) [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2D66D
. "Optimized Power Source Integration (OPSI)." doi: 10.21227/H2D66D

Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch

Dataset Files

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Dataset Details

Citation Author(s):
Submitted by:
Emanuele Ruffaldi
Last updated:
Fri, 12/22/2017 - 08:06
DOI:
10.21227/H2CD31
Data Format:
Links:
 
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[1] , "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2CD31. Accessed: Jul. 17, 2018.
@data{h2cd31-17,
doi = {10.21227/H2CD31},
url = {http://dx.doi.org/10.21227/H2CD31},
author = { },
publisher = {IEEE Dataport},
title = {Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch},
year = {2017} }
TY - DATA
T1 - Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2CD31
ER -
. (2017). Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch. IEEE Dataport. http://dx.doi.org/10.21227/H2CD31
, 2017. Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch. Available at: http://dx.doi.org/10.21227/H2CD31.
. (2017). "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch." Web.
1. . Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2CD31
. "Non-Resonant Kinetic Energy Harvesting using Macro-Fiber Composite Patch." doi: 10.21227/H2CD31

Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink


This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.

License: Creative Commons Attribution

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:18
DOI:
10.21227/H28W5P
Data Format:
Links:
 
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[1] , "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H28W5P. Accessed: Jul. 17, 2018.
@data{h28w5p-17,
doi = {10.21227/H28W5P},
url = {http://dx.doi.org/10.21227/H28W5P},
author = { },
publisher = {IEEE Dataport},
title = {Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink},
year = {2017} }
TY - DATA
T1 - Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H28W5P
ER -
. (2017). Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. IEEE Dataport. http://dx.doi.org/10.21227/H28W5P
, 2017. Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink. Available at: http://dx.doi.org/10.21227/H28W5P.
. (2017). "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." Web.
1. . Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H28W5P
. "Islanding Prevention Scheme for Grid-Connected Photovoltaic Systems in Matlab/Simulink." doi: 10.21227/H28W5P

A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems


This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.

License: Creative Commons Attribution

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:16
DOI:
10.21227/H2DP80
Data Format:
Links:
 
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[1] , "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2DP80. Accessed: Jul. 17, 2018.
@data{h2dp80-17,
doi = {10.21227/H2DP80},
url = {http://dx.doi.org/10.21227/H2DP80},
author = { },
publisher = {IEEE Dataport},
title = {A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2DP80
ER -
. (2017). A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H2DP80
, 2017. A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H2DP80.
. (2017). "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." Web.
1. . A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2DP80
. "A Study on Anti-Islanding Detection Algorithms for Grid-Tied Photovoltaic Systems." doi: 10.21227/H2DP80

Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods


This work aims to implement in Matlab and Simulink the perturb-and-observe (P&O) and incremental conductance Maximum Power Point Tracking (MPPT) algorithms that are published in the scientific literature.

License: Creative Commons Attribution

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:01
DOI:
10.21227/H2JD0F
Data Format:
Links:
 
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[1] , "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2JD0F. Accessed: Jul. 17, 2018.
@data{h2jd0f-17,
doi = {10.21227/H2JD0F},
url = {http://dx.doi.org/10.21227/H2JD0F},
author = { },
publisher = {IEEE Dataport},
title = {Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods},
year = {2017} }
TY - DATA
T1 - Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2JD0F
ER -
. (2017). Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. IEEE Dataport. http://dx.doi.org/10.21227/H2JD0F
, 2017. Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods. Available at: http://dx.doi.org/10.21227/H2JD0F.
. (2017). "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." Web.
1. . Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2JD0F
. "Comparative Analysis of the Perturb-and-Observe and Incremental Conductance MPPT Methods." doi: 10.21227/H2JD0F

Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems


Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems

This work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition.

License: Creative Commons Attribution

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Citation Author(s):
Submitted by:
Ioan Banu
Last updated:
Sat, 06/16/2018 - 23:15
DOI:
10.21227/H29W6C
Data Format:
Links:
 
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[1] , "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H29W6C. Accessed: Jul. 17, 2018.
@data{h29w6c-17,
doi = {10.21227/H29W6C},
url = {http://dx.doi.org/10.21227/H29W6C},
author = { },
publisher = {IEEE Dataport},
title = {Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems},
year = {2017} }
TY - DATA
T1 - Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H29W6C
ER -
. (2017). Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. IEEE Dataport. http://dx.doi.org/10.21227/H29W6C
, 2017. Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems. Available at: http://dx.doi.org/10.21227/H29W6C.
. (2017). "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." Web.
1. . Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H29W6C
. "Modeling of Maximum Power Point Tracking Algorithm for Photovoltaic Systems." doi: 10.21227/H29W6C