MINTernship-Programm Ausschreibung 2018_final... · Duration of the project up to six months (April...

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KIT Die Forschungsuniversität in der Helmholtz-Gemeinschaft www.kit.edu MINTernship-Programm Stipendien für Forschungspraktika an der University of North Carolina at Charlotte Das MINTernship-Programm des KIT wurde initiiert, um den Austausch von Studierenden mit strategischen Partnern zu fördern. Für 2018 besteht erneut die Möglichkeit, am Energy Production & Infrastructure Center (EPIC) der University of North Carolina at Charlotte (UNCC) ein über Stipendien finanziertes Forschungspraktikum zu absolvieren. Das sechsmonatige Praktikum beginnt am 2. April 2018. Das Stipendium Neben vielen neuen Erfahrungen und grenzüberschreitenden Kontakten bietet das Programm: - Ein zweistündiges Vorbereitungsseminar für den Aufenthalt in den USA am 16. Januar 2018 um 15:00 Uhr im International Students Office Adenauerring 2, 76131 Karlsruhe Geb. 50.20, Raum 005, Erdgeschoss - Teilnahme am Begleitprogramm der UNCC. - Eine monatliche Stipendienrate von USD 1.500 für die Dauer des Praktikums und eine Reisekostenpauschale (Flug, Transfers, Visa, Visabeschaffung etc.) von € 1.300. Die Anforderungen - Sie sind am KIT immatrikuliert und haben vor Praktikumsbeginn mindestens 4 Semester studiert. - Sie studieren Maschinenbau*, Wirtschaftsingenieurwesen, Energietechnik*, Elektrotechnik und Informationstechnik, Bauingenieurwesen, Bio- oder Chemieingenieurwesen mit deutlichem Bezug zur Energieforschung. - Sie sind offen, kommunikativ und beherrschen die englische Sprache auf gutem Niveau. - Sie werden nach Rückkehr aus den USA an einem verpflichtenden Feedback- Seminar teilnehmen, das am 17. Oktober 2018 von ca. 19:00 Uhr bis 21:30 Uhr und am 18. Oktober 2018 von 8:30 Uhr bis 12:15 Uhr stattfinden wird. - Sie werden einen zweiseitigen Erfahrungsbericht über den Aufenthalt bis zum 30. November 2018 einreichen. *Mit Ausnahme des Fachbereichs Maschinenbau (sowie der Energietechnik) wird das Forschungspraktikum als Pflichtpraktikum anerkannt. Internationales KIT-Zentrum für Energie International Students Office KIT School of Energy Adenauerring 2 Hermann-von-Helmholtz-Platz 1 76131 Karlsruhe 76344 Eggenstein-Leopoldshafen www.intl.kit.edu www.energie.kit.edu

Transcript of MINTernship-Programm Ausschreibung 2018_final... · Duration of the project up to six months (April...

Page 1: MINTernship-Programm Ausschreibung 2018_final... · Duration of the project up to six months (April – October) Type of research project Engineering study related to the power industry

KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft www.kit.edu

MINTernship-Programm

Stipendien für Forschungspraktika an der University of North Carolina at Charlotte

Das MINTernship-Programm des KIT wurde initiiert, um den Austausch von Studierenden

mit strategischen Partnern zu fördern. Für 2018 besteht erneut die Möglichkeit, am

Energy Production & Infrastructure Center (EPIC) der University of North Carolina at

Charlotte (UNCC) ein über Stipendien finanziertes Forschungspraktikum zu absolvieren.

Das sechsmonatige Praktikum beginnt am 2. April 2018.

Das Stipendium

Neben vielen neuen Erfahrungen und grenzüberschreitenden Kontakten bietet das

Programm:

- Ein zweistündiges Vorbereitungsseminar für den Aufenthalt in den USA am

16. Januar 2018 um 15:00 Uhr im

International Students Office

Adenauerring 2, 76131 Karlsruhe

Geb. 50.20, Raum 005, Erdgeschoss

- Teilnahme am Begleitprogramm der UNCC.

- Eine monatliche Stipendienrate von USD 1.500 für die Dauer des Praktikums und

eine Reisekostenpauschale (Flug, Transfers, Visa, Visabeschaffung etc.) von

€ 1.300.

Die Anforderungen

- Sie sind am KIT immatrikuliert und haben vor Praktikumsbeginn mindestens 4

Semester studiert.

- Sie studieren Maschinenbau*, Wirtschaftsingenieurwesen, Energietechnik*,

Elektrotechnik und Informationstechnik, Bauingenieurwesen, Bio- oder

Chemieingenieurwesen mit deutlichem Bezug zur Energieforschung.

- Sie sind offen, kommunikativ und beherrschen die englische Sprache auf gutem

Niveau.

- Sie werden nach Rückkehr aus den USA an einem verpflichtenden Feedback-

Seminar teilnehmen, das am 17. Oktober 2018 von ca. 19:00 Uhr bis 21:30 Uhr und

am 18. Oktober 2018 von 8:30 Uhr bis 12:15 Uhr stattfinden wird.

- Sie werden einen zweiseitigen Erfahrungsbericht über den Aufenthalt bis zum

30. November 2018 einreichen.

*Mit Ausnahme des Fachbereichs Maschinenbau (sowie der Energietechnik) wird das Forschungspraktikum als Pflichtpraktikum anerkannt.

Internationales KIT-Zentrum für Energie

International Students Office KIT School of Energy

Adenauerring 2 Hermann-von-Helmholtz-Platz 1

76131 Karlsruhe 76344 Eggenstein-Leopoldshafen

www.intl.kit.edu www.energie.kit.edu

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MINTernship – November 2017

Der Bewerbungsprozess

Folgende Bewerbungsunterlagen werden auf Englisch benötigt:

- CV (Bitte Aktivitäten außerhalb des Studiums und gesellschaftliches Engagement

angeben)

- Studienbescheinigung

- Notenspiegel

- Motivationsschreiben mit folgenden Informationen (nicht mehr als eine DIN-A4 Seite):

Warum möchten Sie ein Praktikum an der UNCC machen? Welche Stärken und

Fähigkeiten bringen Sie mit? Welche der aufgelisteten Forschungsprojekte am EPIC

interessieren Sie (bitte 3 Projekte angeben, siehe nächste Seiten)? Was erwarten Sie

vom Forschungspraktikum?

- Unterschriebene Einwilligungserklärung über die Weitergabe der personenbezogenen

Daten an den Mittelgeber (auf Deutsch)

Bitte reichen Sie Ihre Bewerbungsunterlagen zusammengefasst in einem PDF-

Dokument auf Englisch bis zum 06. Dezember 2017 unter [email protected] ein.

Sie werden spätestens am 20. Dezember 2017 über das Ergebnis des

Bewerbungsverfahrens informiert. Fragen zum Programm richten Sie bitte an

[email protected]. Die Ausschreibung finden Sie unter

www.intl.kit.edu/ostudent/9136.php.

Mit freundlicher Unterstützung folgender Organisationen:

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Informationen zum Datenschutz und Einwilligungserklärung Folgende personenbezogenen Daten werden vom KIT zum Zwecke der Stipendienvergabe erhoben: Ihre Kontaktdaten, die Lebenslaufdaten sowie Qualifikationsnachweise (die Bewerbungsunterlagen) und Ihre Bankverbindungsdaten. Diese Daten werden vom KIT im Rahmen der geltenden datenschutzrechtlichen Bestimmungen verarbeitet, soweit und solange dies für den Zweck der Abwicklung der Stipendienvergabe erforderlich ist. Ich erkläre hiermit bis auf Widerruf mein Einverständnis damit, dass an den Mittelgeber, die Reinhard Frank-Stiftung, Mönckebergstr. 11, 20095 Hamburg die von mir eingereichten Bewerbungsunterlagen durch das KIT weitergegeben werden. Des Weiteren erkläre ich mein Einverständnis, dass meine Unterlagen an das Energy Production & Infrastructure Center (EPIC) der University of North Carolina at Charlotte weitergegeben werden, damit vor Ort ein Praktikumsplatz angeboten werden kann, der meinen Qualifikationen entspricht. Diese Einwilligung kann bis zur Weitergabe der Daten jederzeit dem KIT gegenüber widerrufen werden. Nach bereits erfolgter Weitergabe an die Reinhard Frank-Stiftung bzw. an EPIC sind entsprechende Ansprüche - z.B. auf Löschung der Daten bei der Reinhard Frank-Stiftung bzw. beim EPIC - direkt an die Reinhard Frank-Stiftung bzw. an EPIC zu richten. Die Einwilligung ist freiwillig. Aus der Verweigerung der Einwilligung oder ihrem Widerruf entstehen keine Nachteile, insbesondere nicht hinsichtlich der Vergabe und Bewilligung von Stipendien.

Vorname Name

Ort, Datum Unterschrift

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Projects available at UNC Charlotte

1. Project Title: Novel Peer to Peer (P2P) Energy Trading Applications using Advance Data Analytics . 2

2. Project Title: Development of emulated electromagnetic and mechanical inertia inside the

controller of a grid-tied PV inverter .............................................................................................................. 4

3. Project Title: Wideband Current Sensors for High Frequency Power Electronics Applications ........... 5

4. Predicting Impact of Thermal Energy Storage on German Power Market ........................................... 7

5. Project Title: Optimal Energy Dispatch for Demand Response of Residential PV-Battery Systems ..... 9

6. Project Title: Development of Nondestructive Techniques and Tools for In-Service Condition

Assessment of Timber Electrical Distribution Poles ................................................................................... 11

7. Project Title: Fault Detection for Solid State Circuit Breakers ............................................................ 13

8. Project Title: Evaluation of Instruments for Large-scale Metrology ................................................... 15

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1. Project Title: Novel Peer to Peer (P2P) Energy Trading Applications using

Advance Data Analytics Energy Field Research Interest (please select from one of the options below)

1. Energy Markets and Analytics

2. Renewable Energy Devices and Integration

3. Power Grid Modernization

Abstract of the project In future the utilization of energy predictions systems

(incl. electricity price, renewable energy and load

forecasting models), distributed power generation and

consumption algorithms will be integrated into the

community based neighborhood energy infrastructure.

This will enable the distributed power procumers to

participate actively to the established / central power

markets and peer to peer energy markets. Thus

accurate and well-performing energy forecasting tools

are vital for the utilities, energy traders, power plant

operators and most importantly future procumer

market participants.

This project proposes to investigate the determining

the drivers of well-performing energy forecasting

applications such as further development of a multi-

model short-term electricity price forecasting,

renewable energy and energy demand forecasting

systems using advanced artificial intelligence and data

analytic techniques. Artificial neural networks (ANN),

statistical model and other artificial intelligence

methods will be tested and compared in terms of

performance. The model will include energy storage

units to optimize the power flow and trading. Therefore

in the final state an effective optimization algorithm will

be developed.

The models will be tested in a smart gird simulation

and power hardware-in the-loop (PHIL) environment in

the Duke Energy Smart Gird Laboratory.

Note: The first version of the electrical energy price

forecasting system was developed with a KIT

exchange student in the last term. First version of the

solar power forecasting is developed by the exchange

UNCC student who visited KIT last term. Therefore,

the next student will focus on further development of

existing algorithms but most importantly the main

target will be the development of optimization

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algorithm and implementation of the peer to peer

neighborhood trading scenario to IEEE bus bar

systems in Simulink and RT lab (HIL) environment.

Tasks Literature research

Investigation of the US and Germany Power markets

Understanding and further improvement of existing

wind power, solar power and electricity price

forecasting algorithms using advance data analytics

and machine learning techniques.

Development of a basic electrical demand forecasting

model.

Development of optimization algorithm.

Implementation of the P2P energy trading scenarios in

Matlab/Simulink and RT Lab environments.

Testing the developed model in the Duke Energy

Smart Grid Lab.

Requirements Fundamental knowledge about the power markets

Basic knowledge about smart grids

Preliminary programing experience preferably in

Matlab and Python

Basic knowledge/ experience in optimization

Language Skills Fluency in German and English

Software Skills MATLAB / Simulink /Python

Other skills

Duration of the project up to six months (April – October)

Type of research project

Responsible Professor Drs. Umit Cali, Sukumar Kamalasadan

Supervisor/Mentor of the project

Supervisor`s Telephone Number 704-687-6038

Supervisor`s Email [email protected]

Faculty, Institute or Company

Name

UNC Charlotte (partially in KIT)

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2. Project Title: Development of emulated electromagnetic and mechanical

inertia inside the controller of a grid-tied PV inverter Energy Field Research Interest (please select from one of the options below)

Renewable Energy Devices and Integration

Abstract of the project A suite of localized, autonomous algorithms is to be

built on top of that emulated inertia of a solar

photovoltaic system, and will be steered by a mid-level

supervisory control layer. The grid forming and grid

support capability (such as voltage and frequency

support) of this design is to be demonstrated in

simulation, and in a scaled down lab experiment.

Interactions of experimental hardware with varied

distribution networks running on RTDS/Opal RT will be

carried out in hardware in the loop simulation runs.

Tasks Literature survey; distribution network simulation

model for control validation in Matlab; HIL formulation

and testing; writing reports/papers; making

presentations.

Requirements Must have B.S degree in Electrical Engineering with

concentration in power and energy.

Language Skills English

Software Skills Matlab, python, power analysis software (PowerWorld,

or DigSilent, or ETAP, or PSCAD, etc.)

Other skills Good communication skills

Duration of the project up to six months (April – October)

Type of research project Engineering study related to the power industry

Responsible Professor Dr. Badrul Chowdhury

Supervisor/Mentor of the project Dr. Chowdhury and his doctoral students

Supervisor`s Telephone Number 704-687-1960

Supervisor`s Email [email protected]

Faculty, Institute or Company

Name

UNC-Charlotte

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3. Project Title: Wideband Current Sensors for High Frequency Power

Electronics Applications Energy Field Research Interest (please select from one of the options below)

1. Power Conversion and Power Electronics

Abstract of the project The objective of this research is to investigate on

contactless integrated current sensing techniques

needed for next generation high frequency high

voltage power electronics systems. This project will

investigate on materials and implementation methods

that are responding to the magnetic field produced by

the carrying current in a printed circuit board trace.

This research will address the challenges of

measurements due to asymmetrical current

distribution and significantly non-uniform magnetic field

around the trace at frequencies beyond 1MHz. It is

expected that the student develops a detailed

simulation model for such solutions along with

hardware prototypes to verify the proposed methods.

Tasks It is expected that the student develops a detailed

simulation model for such solutions along with

hardware prototypes to verify the proposed methods.

Requirements Knowledge at least one of the following is required:

1. Familiarity of Multi-Physic simulation software

such as Comsol, HFSS, etc.

2. Knowledge of hardware experimentations and

basic power electronics circuits is essential.

3. Mixed-signal IC design or fabrication

Interested candidates are encouraged to contact Prof.

Babak Parkhideh ([email protected]) for an

interview. Please visit:

http://coefs.uncc.edu/bparkhid/research/ to know more

about our research projects

Language Skills Good

Software Skills Required, as mentioned in the requirements

Other skills Hardware-oriented person

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Duration of the project up to six months (April – October)

Type of research project

Responsible Professor Dr. Babak Parkhideh

Supervisor/Mentor of the project Babak Parkhideh/

Shahriar Nibir, PhD Student, [email protected]

Supervisor`s Telephone Number 704-687-1959

Supervisor`s Email [email protected]

Faculty, Institute or Company

Name

Electrical and Computer Engineering Department

Photovoltaic Integration Laboratory (PiL)

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4. Predicting Impact of Thermal Energy Storage on German Power Market Energy Field Research Interest (please select from one of the options below)

Energy Storage and Energy Distribution

Abstract of the project Thermal energy storage is likely the most cost-

effective method to accommodate swings in output

from intermittent renewable energy power sources

(wind and solar) without curtailing or “spilling” that

power to other countries. Using data from the 2016

German Power compiled by the Fraunhofer Institute

for Solar Energy (https://www.energy-

charts.de/index.htm), an analysis will be carried out to

predict what the impact would be of adding various

amounts of the thermal energy storage at German coal

power plants. The goal will be to maximize the use in

Germany of power generated from renewable energy

sources while minimizing the operation of coal power

plants at part-load. The latter results in poorer thermal

efficiency and therefore higher CO2 emissions per

MWh. This project will require the creation of an

economic dispatch model for coal power plants. This

model will be used with the 2016 market data to

determine when it would have been more economic

for coal power plants to send energy to an energy

storage system rather than to sell power to the grid.

The model will also have to determine when the stored

energy should have been extracted in order to

minimize (or prevent) the operation of less efficient

and/or more expensive fossil power plants.

Tasks 1. Collection of data and background research on

thermal energy storage

2. Creation of economic dispatch model

3. Application of model to 2016 market data

4. Analysis of impact of adding varying amounts

of thermal energy storage

5. Reporting

Requirements A student from any engineering or physics-based

science program should be able to do this project.

The ability to create a computer program which can

process large amounts of data will be a key to success

in this project.

Language Skills English language skills will be required to interact with

the project advisors at UNCC

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Software Skills The specific software platform to be used in this

analysis will be selected by the student.

Other skills An ability to independently carry out research will be

important to success. This includes the ability to dig

into available literature to find information which may

be necessary to carry out the analysis.

Duration of the project up to six months (April – October)

Type of research project Project for Mechanical Engineering Department

student

Responsible Professor Dr. Nenad Sarunac

Supervisor/Mentor of the project Nenad Sarunac / Jeffrey Phillips

Supervisor`s Telephone Number (704) 687-1089 / 704-595-2738

Supervisor`s Email [email protected] / [email protected]

Faculty, Institute or Company

Name

Dr. Nenad Sarunac

EPIC Associate Professor of Mechanical Engineering

and Engineering Science

361 Duke Centennial Hall, UNCC, Charlotte, NC

28223

Dr. Jeffrey Phillips

Senior Program Manager, Electric Power Research

Institute, 1300 West WT Harris Blvd, Charlotte, NC

28262

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5. Project Title: Optimal Energy Dispatch for Demand Response of Residential

PV-Battery Systems Energy Field Research Interest (please select from one of the options below)

3: Energy Storage and Energy Distribution

Abstract of the project The strategy of battery charging and discharging has a

great impact on the system performance such as

annualized cost, self-consumption, and peak shaving

for demand response. Previous studies usually

assume a simple control strategy. Under the simple

control strategy, the battery is charged whenever the

PV power generation is greater than the load

requirement and the battery is not full; the battery is

discharged whenever the PV power generation is less

than the load requirement and the state of charge of

battery is higher than the minimum. This simple control

strategy may not leads to the optimal solution with

respect to minimizing cost and maximizing grid

benefits. For example, it is desired to discharge the

battery during the peak hours instead of the off-peak

hours but this goal cannot be realized with the

conventional operation strategy. Thus, an optimal

dispatch strategy of the battery needs to account for 1)

the reduction of peak demand and thereby the

demand charge (if applicable) and 2) the increased

energy charge due to the roundtrip charge losses

battery. In this study, a model predictive control (MPC)

strategy will be developed to optimize the PV-battery

system operation for peak power reduction and cost.

The MPC strategy is based on the predicted electric

load consumption and the predicted PV power

generation, both depend on the weather forecasts.

This project will focus on the MPC strategy

development instead of the approaches for electric

load prediction and PV power prediction. Therefore,

the known load profiles will be used for the ideal load

prediction and the known weather profiles will be used

to derive the ideal PV power prediction.

Tasks Control algorithm development, implementation and

simulation. Documentation of research findings.

Requirements Preferable a Master student with interest and

background in PV-battery systems and controls

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Language Skills Strong communication in English speaking and wiriting

Software Skills Proficient Matlab/Simulink

Other skills Knowledge of lithium-ion battery (preferred)

Duration of the project up to six months (April – October)

Type of research project Modeling and simulation

Responsible Professor Weimin Wang

Supervisor/Mentor of the project Weimin Wang

Supervisor`s Telephone Number 704-687-5066

Supervisor`s Email [email protected]

Faculty, Institute or Company

Name

Weimin Wang, PhD

Faculty Engineering Technology Department

Associate - Energy Production and Infrastructure

Center

University of North Carolina - Charlotte

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6. Project Title: Development of Nondestructive Techniques and Tools for In-

Service Condition Assessment of Timber Electrical Distribution Poles Energy Field Research Interest (please select from one of the options below)

Energy Storage and Energy Distribution

Abstract of the project The objective of this project is to explore low-cost and

rapid nondestructive evaluation (NDE) techniques for

condition assessment of timber electrical distribution

poles. The project proposed here builds on extensive

existing laboratory experimentation on full-scale

deteriorated timber poles and corresponding analytical

models to 1) develop prototypes of sensing hardware

and programmed embedded electronics for a routine

pole inspection tool; 2) perform field verification and

demonstration of the sensing hardware under a range

of operational conditions and environments; and 3)

analyze extensive laboratory and field test data to

facilitate the enhancement of the diagnostic

algorithms.

Tasks Project involves physical testing/data collection of

timber electrical distribution poles in the field and

potentially the laboratory. Signal processing

techniques and numerical models will be used to

correlate test data with the actual state of deterioration

in the poles to develop nondestructive assessment

techniques. Physical prototype systems for pole

condition assessment will also be designed,

fabricated, and programmed.

Requirements Must be able and willing to conduct laboratory and

field testing (must be in good physical condition and

willing to get dirty). Background in either structural

mechanics/dynamics, signal processing, or electrical

circuit design/fabrication/prototyping is necessary to be

able to offer contributions to the objective areas of this

project.

Language Skills Proficiency in English

Software Skills Familiarity with MATLAB; proficiency in C

programming language and familiarity with

microcontrollers is preferable

Other skills

Duration of the project April – October (6 Months)

Type of research project Applied Experimentation and Embedded Systems

Design/Development

Responsible Professor Matthew Whelan

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Supervisor/Mentor of the project Matthew Whelan

Supervisor`s Telephone Number 704-687-1239

Supervisor`s Email [email protected]

Faculty, Institute or Company

Name

University of North Carolina at Charlotte

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7. Project Title: Fault Detection for Solid State Circuit Breakers

Energy Field Research Interest (please select from one of the options below)

Power Conversion and Power Electronics

Abstract of the project Solid-state circuit breakers (SSCB) is an emerging technology that could potentially change the way how power is distributed and managed in the buildings. One of EPIC’s affiliate members, Atom Power (www.atompower.com) has developed the world’s first truly solid-state circuit breaker for the commercial and industrial building markets. The Atom Switch has transitioned the circuit breaker from mechanical to digital in the intelligent, dynamic, and fastest circuit breaker ever. Instead interrupting current in milliseconds (ms) for traditional circuit breakers, the SSCB can stop the current in a few microsends (us). The ultrafast interruption speed also poses significant challenges in the fault detections and breaker coordination.

This project will investigate different fault detection and coordination methods for solid state circuit breakers, including high impedance fault, ground fault and arc fault. The project will also develop solid state breaker modeling for detection algorithm verification (in micro-sec range), and building system modeling in Opal-RT for breaker protection and impact study.

After completion of the project is of interest to create documentation of the algorithms, demonstrations and lab capabilities into a collaboration IEEE format paper to be presented. Student that select the project will be expected receive help from the mentors as well as from other graduate students working in power electronics group. The student will also have the chance to interact with the industry leaders directly on this emerging technology development.

Tasks 1. Identify SSCB fault detection and coordination

challenges.

2. Evaluate different fault detection and

coordination methods for solid state circuit

breakers, including high impedance fault,

ground fault and arc fault

3. Complete SSCB modeling and system

modeling for fault detection and impact study.

4. Support developing hardware prototype for

fault detection verification.

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5. Summarize the findings in a presentation and

an IEEE format paper.

Requirements M.S. student in electrical engineering; familiarity with

principles of power electronics and power distribution,

familiarity with power electronic simulations.

Language Skills Strong oral and written communication skills.

Software Skills Matlab/Simulink or other power electronics simulation

software

Other skills Will prefer hands on experience but not required.

Duration of the project up to six months (April – October)

Type of research project Project for Electrical Engineering Department Student.

Responsible Professor Tiefu Zhao

Supervisor/Mentor of the project Tiefu Zhao (UNCC supervisor)

Ryan Kennedy, Denis Kouroussis (industry advisors)

Supervisor`s Telephone Number

704-687-0939

Supervisor`s Email [email protected]

Faculty, Institute or Company Name

Tiefu Zhao

Assistant Professor, Department of Electrical and

Computer Engineering

Associate, Energy Production and Infrastructure

Center (EPIC)

University of North Carolina at Charlotte

EPIC 1160, 8700 Phillips Rd, Charlotte, NC 28223

Tel: 704-687-0939

Email: [email protected]

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8. Project Title: Evaluation of Instruments for Large-scale Metrology Energy Field Research Interest (please select from one of the options below)

Energy Equipment Manufacturing

Abstract of the project Equipment used for electricity generation at the utility

scale is physically large and expensive, and must be

manufactured with high precision in order to achieve

desired levels of efficiency and durability.

Components and equipment are typically much too

large and heavy to be able to move to dedicated

precision measurement instruments. Recent

advances in portable technologies for large-scale

metrology offer the opportunity for simultaneous

improvements in both productivity and quality in the

manufacture of this equipment. A wide range of

competing technologies have emerged to support

large-scale metrology, including laser trackers,

theodolites and total stations, laser radar, structured

light scanners, articulated-arm CMMs, etc. It is difficult

for manufacturing engineers to meaningfully compare

the various technologies to determine which is best

suited to a particular task or application. The goal of

the project is to design and conduct experiments

aimed at comparing the various technologies. A

reconfigurable artifact is currently being designed for

this purpose. It will be sized to be able to fit in the 3m

X 2m X 1.6m work volume of our large Leitz CMM,

which will provide a best estimate of the true value of

the dimensions and locations of various features.

Those same features will then be measured in various

environments and support conditions using different

instruments, and the results compared in terms of

accuracy, sensitivity to environmental conditions, time

and effort required, and other factors.

Tasks 1. Learn to operate multiple portable metrology

instruments.

2. Design and conduct measurement experiments.

3. Analyze data using appropriate software tools.

4. Summarize results and write report.

Requirements Mechanical Engineering student preferred. Strong

interest and experience in hands-on, experimental

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work. Willingness to learn to operate new instruments

and software with minimal training.

Language Skills English required.

Software Skills Matlab, willingness to learn metrology software such

as Spatial Analyzer, GeoMagic, Polyworks, etc.

Other skills Interest in manufacturing

Duration of the project up to six months (April – October)

Type of research project Manufacturing technology, mechanical engineering.

Responsible Professor Edward Morse, John Ziegert

Supervisor/Mentor of the project Eward Morse, John Ziegert

Supervisor`s Telephone Number 704-687-8342, 704-687-8203

Supervisor`s Email [email protected], [email protected]

Faculty, Institute or Company

Name

Siemens Energy