Engineering Training Report Student Name

Engineering Training Report

Student Name: Fatima Rashid Al Mamari
Student ID: U14121706
Department: Sustainable and Renewable Energy Engineering

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Training Organization’s Name:
Dubai Electricity and Water Authority

Training Duration: Second September to 18 October
Date of report Submission: 27/11/2018

Table of Content:

Table of Figures: 2
Abstract: 3
Introduction (Institution Profile and Training Outline): 4
Internship Department: 4
Internship objective: 4
Activities and Tasks timetable: 4
Details of Work Accomplished: 4
R Studio: 5
Dust accumulation study: 5
The Outdoor Test Facility: 6
Conclusion: 8

Table of Figures:

Figure 1: Top 20 Technology Skills in Data Scientist Job….……………………………………… 5
Figure 2:Glass samples……………………………………………………………………………… 6
Figure 3:Spectrometer ………………………………………………………………………………6

Abstract:

This Report summarizes my internship program for Fall 2018, covering 240 hours. My time spent in Dubai Electricity and Water Authority (DEWA) was in the research and development center. I learned about the Departments and the work each department does. Most widely I worked as a Researcher during my internship, which helped me develop my researching, communication and teamwork skills.

Introduction (Institution Profile and Training Outline):

Dubai Electricity and Water Authority (DEWA), was developed in 1992, by that time DEWA accomplished several achievements, to be ranked one of the best utilities in the world, provides services to customers with a happiness rate 95% in 2016. DEWA’s mission and motto is a sustainable innovative world-class utility For Generations to come.

Internship Department:

My training period associated with The Research and Development Center in DEWA. The Center focus on four operations; integration of smart grid, Energy efficiency, Water and producing electricity using solar power.

Internship objective:

Learn about PV module failures in the field
Analyze the effect of dust on the solar spectrum
Gain knowledge in R-programming language that read, manipulate, analyze and visualize data
Design/develop a script in R-soft to analyze data
Perform data analysis on the data from the outdoor facility

Activities and Tasks timetable:
Internship plan
Week1 Learn about the spectrometer
Perform measurement on the samples on a weekly basis
Week 2 Research about photovoltaic
Week 3 Gain knowledge in R-programming language that read, manipulate, analyze and visualize data
Week 4 Design/develop a script in R-soft to analyze data
Week 5- 6 Perform data analysis on the data from the outdoor facility
Week 7 Perform data analysis on the data from the outdoor facility
Present the finding

Details of Work Accomplished:

The first step of my training program was to learn about the spectrometer and research about the following topic:
Solar radiation at the earth surface
Different PV module technologies
PV module manufacturing methods
Design of PV systems
IV curve parameters
Photovoltaic Module Failures in the Field

The second step was to get the Data from the spectrometer and the outdoor test facility and analysis it by using R language.

R Studio:
R is language used for graphics and statistical computing. Figure 1 shows that R is not far behind python language since it is easy to use that’s why R is used to analyze the Data in my internship.

Dust accumulation study:

Dust accumulation on glass plates and associated reductions in transmittance have been experimentally investigated over a period of 13 weeks under the climate conditions of the UAE region for 5 different locations (Al Quoz, Jebel Ali, OTF, Mohammed bin Rashid solar park phase 1), These plates were exposed to the ambient conditions and left without cleaning for a period of 13 Weeks see figure 2. The instrument that was used to measure the transmittance of light is spectrometer (specord 210) see figure 3.

The effect of soiling on transmittance was calculated by finding the difference between transmittance spectrum of cleaned and soiled glass.

%SL = %Tclean glass ? %Tsoild glass
The study showed that the OTF and 13 MW plant has the lowest soiling loss. However Al Quoz and Jebel Ali has the highest since its an industrial area that have higher pollution rate and the patical size is different .Moreover , Silicon module have a low band gap which makes it preform better to wavelength form visibale light to infrared .However, thin film module has higher band gap which makes it preform better in the ultravilot to visable wavelength , since the study showed lower transimtance result in the ultravilot range it is more considriable to use Monocrystalline , Polycrystalline and Bifacial technologies for locations such as Al Quoz and Jebel Ali.

The Outdoor Test Facility:

The performance, performance degradation and soiling loss of 18 photovoltaic (PV) modules with five different technologies are studied for different angles (5°, 25°, 90°) in the Deseret environment of UAE. The module technologies are Monocrystalline silicon (M08), polycrystalline silicon (M07 and M12: frameless), Copper Indium Gallium Selenide (M15) and Cadmium Telluride (M16).

Performance Ratio and Weather Corrected Performance Ratio:

The weather-corrected PR (wc-PR) is a metric that can be used to study the performance without the influence of ambient temperature and wind speed. This metric should be more or less constant in time if the PV modules do not show any significant degradation over the period.

wcPR=(??E_(dc_i) )/(???P_STC (G_(POA_i )/G_STC )(1-?/100 (T_(cell_typ_avg)- T_(cell_i) )?)

The study showed that the bifacial c-Si modules exhibit highest PR with values above 100% in 2016 and 2017 for different angles. This is expected as these types of modules collect reflected lights from the backside of the modules. Monocrystalline silicon modules as well as the CIGS module exhibited highest wc-PR (94.2%-93.4%) among the non-bifacial PV cell technology.
Note: The wc-PR for Angle 90° did not do the correction further investigation for the reason why should be done.
Degradation rate:

Degradation rate is an accurate quantification of power decline overtime. The methods used for degradation analysis are Loess to remove the seasonal trend for PR, Theil-Sen and linear regression to find the slop of degradation.

This study showed that Bifacial Module Degradation rate is the highest followed by CIGS, while the lowest degradation rate is shown in Polycrystalline and Monocrystalline modules, Furthermore Theil-sen method shows highest sensitivity to change.

Soiling Rate:
Soiling on Photovoltaic can decrease their PR, especially in UAE desert climate. The soiling on PV modules is dependent on the angle, orientation, coating and other many factors. The photovoltaic module was cleaned on a monthly basis. The analysis was done using the wc-PR to remove the seasonal effect (Temperature effect), since the duration of the cleaning was relatively short the loss in performance assumed to be mainly because of soiling.

As a Result Monocrystalline silicon has the highest soiling rate while the lowest is bifacial PV module. Moreover, the soiling rate increased as tilt angle decreased for example for angle 5° and 25° respectively is 0.41, 0.161 for Monocrystalline silicon.

Note: Graphs and Result obtained by these studies was added in the presentation

Conclusion:
After completing the internship, I would describe it as a positive and instructive experience. Throughout the internship, I learnt how to Research and use a new programing language to analyze data. Moreover I also learnt how to use spectrometer to measure the transmittance of dust samples from five different locations. In our final week in the internship program we visited the RO plant and learnt about the process and how the desalination using RO work in real life. Moreover I had great opportunity to work with R;D team; it developed communication, punctuality, commitment, talents and teamwork abilities.

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