Today all the members in our group had a meeting to accumulate the achievements from each one.
As a group leader, I studied the next two cases and recorded some information I found on the Internet. Mao Mengkai and Lu Huimin were asked to gather information for these two cases as well. Lu Huimin derived relevant data for the second case and Mao Mengkai did the same thing for the third case. Shan Xin optimized some data for the first case and revised the Matlab code.
2015年2月18日星期三
2015年2月16日星期一
MATLAB simulation
our group optimized
our design of micro power system regards on the Diavik Diamond Mine, which is
Canada's largest diamond mine. I was responsible for estimating the power in
load.
Figure 1 shows the primary load of Power Energy. The
load requires the specific power
consumption. However, we only has the data of
the total power consumption of a year in this case. Due to the limitation of
the data, Mento-Carlo medal was applied to simulate the power consumption in
each month.
Figure 2. Results
of MATLAB simulation
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Figure 4. Distribution of simulated power
According to the
data, Diavik Diamond Mine consumes 16977 MWH power each year, with peak power
in winter. Figure 2 to figure 4 shows the results that simulated by MATLAB.
Mento-Carlo method is applied to generate random data. According to the data
that the peak power in a city is two times the low demand period.
2015年2月15日星期日
Week 3: A group meeting
The first group meeting was held today in Harold Corhen Library. All the group members were present, and we discussed the updated information for our project.
The project is under construction these days, and the analysis for the first case Diavik Mine is completed, which is going to be improved for many times. By studying the situation of the load in a city of China, we decided to make some changes to our data, which is balancing the differences between the requirements of electricity each month. The wind speed situation in Canada is found on the Internet and we are going to adjust the original data.
I checked the logbooks for all the members and asked them to put the achievements they got in the last two weeks in the books.
New tasks are distributed for my team members:
Shan Xin is going to improve the Matlab function and derive more suitable data for the wind speed and load.
Lu Huimin will search for statistics for the second case.
Mao Mengkai will search for statistics for the third case.
The project is under construction these days, and the analysis for the first case Diavik Mine is completed, which is going to be improved for many times. By studying the situation of the load in a city of China, we decided to make some changes to our data, which is balancing the differences between the requirements of electricity each month. The wind speed situation in Canada is found on the Internet and we are going to adjust the original data.
I checked the logbooks for all the members and asked them to put the achievements they got in the last two weeks in the books.
New tasks are distributed for my team members:
Shan Xin is going to improve the Matlab function and derive more suitable data for the wind speed and load.
Lu Huimin will search for statistics for the second case.
Mao Mengkai will search for statistics for the third case.
2015年2月14日星期六
Week 2: The second lab
Yesterday was the day for the second lab, and the purpose of the lab for our group was to finish the establishment of the micro-grid for the first case, Diavik Mine in Canada.
With the general information of this case, we started building up the micro-grid for this region. As there is a big mine, fossil fuel was the main resource for producing electricity. While burning fossil fuels damages the environment, and the wind speed there is suitable for developing a electricity station of wind. Our group focused on designing the micro-grid under this case and optimizing the system.
On this day, I allocated different jobs for each member. Lu Huimin was asked to look for data of the wind turbines Enercon and GE 1.5sl, and she searched for information of the situation of using electricity in Diavik. Mao Mengkai was searching for information of the wind turbines GEV-MP-C and GEV-MP-R, and the information for several storage batteries. Shan Xin used Matlab to create random numbers to represent the energy consumed at the load for each month, with high consumption in January, Feburary and December.
I built up the microgrid and determined the parameters for each component by using the data derived from my teammates, and finished the simulation for the first case, and here are the results:
However, it is only the simplest model for this system, and we will optimize it by refining the data and delete unnecessary statistics to make it more realistic, and this is what we will do next week, and the establishments of the other two micro-grids must be finished until the end of the next week.
With the general information of this case, we started building up the micro-grid for this region. As there is a big mine, fossil fuel was the main resource for producing electricity. While burning fossil fuels damages the environment, and the wind speed there is suitable for developing a electricity station of wind. Our group focused on designing the micro-grid under this case and optimizing the system.
On this day, I allocated different jobs for each member. Lu Huimin was asked to look for data of the wind turbines Enercon and GE 1.5sl, and she searched for information of the situation of using electricity in Diavik. Mao Mengkai was searching for information of the wind turbines GEV-MP-C and GEV-MP-R, and the information for several storage batteries. Shan Xin used Matlab to create random numbers to represent the energy consumed at the load for each month, with high consumption in January, Feburary and December.
I built up the microgrid and determined the parameters for each component by using the data derived from my teammates, and finished the simulation for the first case, and here are the results:
However, it is only the simplest model for this system, and we will optimize it by refining the data and delete unnecessary statistics to make it more realistic, and this is what we will do next week, and the establishments of the other two micro-grids must be finished until the end of the next week.
2015年2月12日星期四
Week 2: The second meeting with Dr. Jiang
Today all the group members met Dr. Jiang and reported to him about our progress this week. Main achievements of this week are that the background information of several renewable energy resources and microgrids is collected, and the three cases for study are determined and relevant information is collected, and we learned how to use the software Homer Energy to analyse data for a microgrid. All the achievements have been attached to the blog.
However, there are some problems for our project, and Dr. Jiang gave us some advice. He strongly recommended that we record all the progresses in our log books and sort them out to make the ideas clear, which will be quite helpful for our report writing. The mannual of Homer Energy was not closely researched by us, and if we want to finish a good project, it is necessary for us to clearly research the instructions and white papers for this software. Homer Energy is a great software for investigating analysis, optimization and sensitivity for microgrids, and Dr. Jiang recommended us to use it wisely.
After this meeting, we decided to focus on designing and analysing the microgrids based on the different cases, and the title for our project may be changed when we write the report. The most important thing to do for the next step is closely learning the ways of using Homer Energy and then take advantage of it to analyse and optimize our designs.
However, there are some problems for our project, and Dr. Jiang gave us some advice. He strongly recommended that we record all the progresses in our log books and sort them out to make the ideas clear, which will be quite helpful for our report writing. The mannual of Homer Energy was not closely researched by us, and if we want to finish a good project, it is necessary for us to clearly research the instructions and white papers for this software. Homer Energy is a great software for investigating analysis, optimization and sensitivity for microgrids, and Dr. Jiang recommended us to use it wisely.
After this meeting, we decided to focus on designing and analysing the microgrids based on the different cases, and the title for our project may be changed when we write the report. The most important thing to do for the next step is closely learning the ways of using Homer Energy and then take advantage of it to analyse and optimize our designs.
2015年2月10日星期二
Week 2: information about third case St Paul Island, Alaska
The largest of the Pribilof Islands, St. Paul contains numerous young cinder cones. St. Paul Island consists of a 110 sq km area of coalescing small basaltic-to-trachybasaltic shield volcanoes capped by cinder cones, similar in style to the Snake Rive Plain volcanism in Idaho. The most widely exposed lava flows originated from E-W-trending vents in the Bogoslof Hill area in the center of the island and a NE-trending row of cinder cones in the Rush Hill area at the west side of the island. Subaerial activity at St. Paul began about 540,000 years ago and produced a basaltic lava platform. Later eruptions produced a series of monogenetic vents and two small shield volcanoes. Bogoslof Hill in the center of the island and Hutchinson Hill, forming isolated Northeast Point, which is connected by a low narrow isthmus to the rest of the island, were formed during the Pleistocene. The youngest vent is the Fox Hill cinder cone on the western side of the island that produced a lava flow about 3200 years ago that traveled into the sea at Southwest Point.
Here is the map for St Paul Island:
Information is available from:
http://www.volcano.si.edu/volcano.cfm?vn=314010
Here is the map for St Paul Island:
Information is available from:
http://www.volcano.si.edu/volcano.cfm?vn=314010
Week 2: information about second case Marble Bar, Australia
Marble Bar is a town located in Western Australia. It is well known for its extremely hot weather. Its population is almost 200 in 2006.
Here is the map for Marble Bar:
· The average annual temperature is 27.7 degrees Celsius (81.9 degrees Fahrenheit). See the temperatures page for a monthly breakdown and the fixed scale graph.
· Average monthly temperatures vary by 15 °C (27°F). This indicates that the continentality type is oceanic, subtype truly oceanic.
· Total annual Precipitation averages 340 mm (13.4 inches) which is equivalent to 340 Litres/m² (8.34 Gallons/ft²).
Information is available from:
http://www.marble-bar.climatemps.com/
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