HOW DOES THE COUNTRIES’ -TURKEY, THE NETHERLANDS AND THE USA- SOLAR POWER USAGE CORRELATE WITH THEIR ECONOMIC STATUS?
PERSONAL ENGAGEMENT
Solar energy can be
used for solar water heaters and house heating. The heat from solar energy
enables the production of food, chemicals, textiles, and it can also be used in
warm greenhouses, swimming pools, and livestock buildings. Furthermore,
providing a power source for electronic devices and even cooking can be
achieved by using solar energy[1].
Turkey is a country which might use the solar power
energy efficiently. However, in our country, although the solar energy is used
sporadically for hot water in domestic use and in some hotels in southern
Turkey, we can state that it is not widely applied as a sustainable and a clean
energy source. Unlike Turkey, the Netherlands uses the technological
opportunities really well, even though the country does not have an extreme
access of sun light[2].
On the contrary, United States of America has the opportunity to use solar
power, but this country lacks social awareness[3]. There
is no study comparing the solar power usage of these countries which all have a
different economic status and different degrees of social awareness.
By using solar panels, people may reduce the
emissions released into the air by reducing the dependence on fossil fuels,
which as a result will decrease the effects of pollution[4]. Therefore, in this study the
difference in the solar power usage among these countries will be investigated[5]. Generally,
the economic and technological opportunities as well as the social awareness
will be discussed during the project[6].
EXPLORATION
·
RESEARCH QUESTION
How does the countries’ -the Netherlands, United
States of America and Turkey- solar power usage correlate with their economic status
(their annual national income will be considered) by using the governmental
data of years from 2000 to 2020?
·
BACKGROUND
In the developing world, the energy supply is coming
an important problem. As of the year 2022, almost 8 billion people live on
earth[7],
all of which need energy to live. Most of this energy is supplied from the
fossil fuels[8].
However, the use of the fossil fuels has ended up with an environmental hazard:
the climate change with four key indicators – greenhouse gas
concentrations, sea level rise, ocean heat and ocean acidification[9]. On top this, due the
recent changes in the global politics the fossil fuel supply to European
countries has been restricted by Russia and the petroleum prizes get higher and
higher. All these changes make it necessary to create new energy options and to
reduce the importance of fossil fuels[10].
In solar panels, the sunlight is converted into
electrical energy via photovoltaic panels. This energy is used to generate
electricity or stored in batteries[11]. Fossil fuels
are made from decomposing of plants and animals which contain carbon and
hydrogen. Some examples are coal, oil and natural gas which are burned to
generate energy[12]. Sustainable
energy can be described as clean and renewable sources of energy which can provide
the necessary energy of both present and future generations. Solar power, wind
power, biomass and wave energy can be given as some examples[13]. Sustainable energy provides several benefits, such as energy
can be generated without releasing greenhouse gases, air pollution can be
minimized, new working areas and job opportunities are created.
The average data is calculated from approximately 10
years data. The data is gathered from the governments’ websites, some
well-known organisations’ websites and articles which are related about this
topic. The websites and articles used are given in the references part.
·
TURKEY
Turkey is located on the northern hemisphere. Its
climate zones are subtropical zone and temperate zone[14].
It has different types of climates: Mediterranean climate: summers are hot and
dry; winters are mild and rainy. Black Sea climate: summers are cool; winters
are warm in the coastal area, snowy and cold at higher regions. Terrestrial
climate: temperature differences between day-night, winter-summer are large.
Marmara climate: The mixture of all the other climates seen in Turkey[15].
Turkey is a sunny land with a lot of sun light
throughout the year. The precipitation in mm per day has a range between 0.9
and 2.9. The annual mean precipitation is 574 mm per year. The average is 1.57
mm[16]. Rainy
days per month has a range between 2.5 and 9.5[17].
Hours of sunlight per day has a range between 3.6 and 10.8[18].
Relative humidity percentage has a range between 55
and 75. The average is 72. The average annual temperature is 13.4°C[19].
The average cloudy weather is 40.0 percent per month. The average UV
index per month is 4.9 (This shows the Sun intensity, incoming solar energy, UV
radiation). National annual average income per capita in 2020 8597 US Dollars[20].
·
THE UNITED STATES OF AMERICA
The United States of America (U.S.A.) is located on
the northern hemisphere, and it has the widest area among the countries
investigated. In order to maximize the energy savings in a home, building
practices are done based on nine different climate zones[21].
The U.S.A. has different types of climates: Northeast:
humid summers, picturesque autumns, and extreme ice and snowstorms in the
winter. Northwest: wet climate, fog at higher elevations, snowy winters. West:
geographic features such as deserts to the east and high elevation mountain
ranges. Upper Midwest: is known for its seasonal extremes of temperature,
temperatures can drop to -30°F (-34°C) in January. Northern Rockies and Plains:
Continental climate of four distinct seasons including snowy winters and
sunny summers, low humidity and rainfall, high temperatures. Ohio valley:
continental climate region, summers rise up to 100°F (37.8°C) and winter lows
hover near −20°F (-28.9°C). The region encounters turbulent winds and
tornados. South: Mild winters and hot summers are observed. Southwest: The
hottest part of the country, where generally deserts are found. Southeast:
Humidity levels are high and many storms and hurricanes occur. It has a border
with the Atlantic Ocean, which affects its climate. Tropical zone: Hawaii’s
climate is included in this section. Its sub-zones range from monsoon to desert[22].
The average annual precipitation is 29.94 inches which
is equal to 760.476 mm per year. The average precipitation per day is 2.08 mm[23]. The average of
rainy days per year for the whole country is 150, which is equal to 12.5 days
per month[24].
The average hour of sunlight is 10.1 hours for the whole country per day[25].
While the northern region has an average of 75 percent
for relative humidity, the southern region has an average of 50 percent[26].
The average annual temperature is 52°F which
is equal to 11.11°C[27]
The average cloudy weather is 45.0 percent per month[28].
The total (average of the whole country is considered) UV index is calculated
as 89, which is equal to 7.4 UV index per month[29].
National annual average income per capita in 2020 67521 US Dollars[30].
·
THE NETHERLANDS
The Netherlands is located in the northern hemisphere.
Its climate zone is temperate maritime (oceanic) climate shaped by the North
Sea and Atlantic Ocean. Its climate is generally stable: Summers are cool and
winters are moderate. Daytime temperatures: It has a range of 2°C to 6°C in
winters; 17°C to 20°C in summers[31].
The Netherlands is the land of rain and water with quite
limited sunshine. The amount of precipitation in mm per day seasonally are:
Spring: 240.7 mm, summer: 219.6 mm, winter: 201.2 mm, autumn: 240.7 mm. Annual average
precipitation is 2.47 mm[32].
Average annual number of rainy days is 187.7 days which is equal to 15.6 days
per month[33].
The hours of sunlight per day seasonally are: Spring: 314.2 hours, summer:
587.6 hours, winter: 197.3 hours, autumn: 314.2 hours. Therefore, the average
is 6.2 hours per day[34].
The annual relative humidity percentage average is 79[35].
The average annual temperature is 10.9°C[36]. The average
cloudy weather is 50.5 percent per month[37].
The average UV index per month is calculated as 3.3. National annual average
income per capita in 2020 45900 Euros which is equal to 51873 US Dollars[38].
After the middle of the year 2022, the Europe has affected
by the energy crisis, which is a global environmental issue[39].
Due to this current situation, altering the energy sources is getting important
day by day. The whole world -especially Europe- is now aiming to increase the
usage of renewable energy sources. So far, one of the most popular renewable
energy source is the solar power. Therefore, investigating the countries
backgrounds about this topic is needed. The countries background is generally
shaped by their economic opportunities and the social awareness.
·
HYPOTHESIS
H1: There is statistically significant
difference between the solar power usage of three countries (the Netherlands,
the USA, Turkey) between 2000 and 2020.
H0: There is not statistically significant
difference between the solar power usage of three countries (the Netherlands,
the USA, Turkey) between 2000 and 2020.
·
VARIABLES
|
Type of variable |
Variable |
How is the
variable controlled? |
|
Independent |
The economic status (the annual national income) of
the countries Turkey, the United States and the Netherlands. |
The data is based on the countries’ national annual
average income per capita in 2020. The data is checked from the governments’
websites. |
|
Dependent |
The amount of usage of the solar powers in the
countries Turkey, The Netherlands and the United States. |
The data is based on the
countries governments’ websites. |
|
Controlled |
The chosen years are from 2000 to 2020 for each
country. |
The data is selected according to the chosen period
of time. |
Table 1.1 The
table of variables and how the variables are controlled.
METHOD AND METHODOLOGY
1.
Determining the topic
2.
Searching the background information
3.
Determining the variables
4.
Creating the hypothesis
5.
Determining the data needed
6.
Searching the data from reliable references (governments’
or well-known organisations’ websites, related articles)
7.
Collecting and gathering the raw data in tables,
charts and graphs
8.
Processing the data collected (calculating the mean
values of the raw data)
9.
Searching for the uncertainties and adding them into
the charts, graphs and tables
10. Interpreting the
processed data (r2 process will be checked for the statistics)
11. Discussing the
overall data and determining the reliability of the claimed hypothesis
12. Discussing the
limitations of data found and suggesting improvements
13. Summarizing the
general research
14. Discussing the reliability
of collected data and ethical considerations
RELIABILITY OF THE COLLECTED DATA
The information is gathered from the governments’ and
some well-known companies’ websites. For instance, some data is collected from
United Nations Human Rights while searching for the Netherlands’ climate
actions. Furthermore, some statistics about Turkey is gathered from Turkey’s
national statistics data portal (TÜİK). Therefore, all the information is
reliable.
The years from 2000 to 2020 is chosen because for the
last twenty years the technology has developed, the energy crisis was
encountered more frequently and the number of research done was higher when
compared to the years before 2020.
The independent variable is chosen as the economic status
of the selected countries. If a country has more annual income per capita, then
the amount of solar power usage will increase in that country. It is thought
that the country’s economy affects the solar power usage because the
construction of the solar panel systems needs considerable investment.
ETHICAL CONSIDERATIONS
While the data is collected, not only one website is
searched. In order to control the first information, some other websites are
also checked. As more than one websites are checked for each topic, the average
values are considered. Therefore, ethical implications of the actions done have
been considered in terms of intellectual rights. All the references used have
been added into the references part.
As the project consists of second hand data, it does
not include any experiments done on the species. Therefore, the environment is
not harmed during this process.
ANALYSIS
DATA COLLECTION
RAW DATA
|
|
TURKEY |
THE USA |
THE NETHERLANDS |
|
Number
of residences and workplaces using solar energy |
No
statistics could be found. |
Today,
the 2 million residential, commercial and utility-scale solar installations
produce enough electricity each year to power more than 12 million American
homes. By 2024, 2.5 percent of all U.S. homes will have a solar installation[40]. |
892 km2
of roof surface in The Netherlands is suitable for solar panels. This is the
equivalent of 125,000 soccer fields. The
Netherlands currently has a total of 9 million buildings of which only 4.4%
have solar panels on their roofs; a total installed base of 3 million solar
panels in 2017[41] |
|
Companies
working on using solar energy |
EkoRE Zorlu Energy ASUNİM |
Solar
Energy Industries Association (SEIA) U.S. Department
of Energy Solar Energy Technologies Office |
|
|
The
support given by the governments |
No
evident support could be found. |
Local,
state, and federal government entities in the United States looking to
procure solar for themselves or make it easier for their communities to
install solar can utilize best practices and resources already developed by
the U.S. Department of Energy Solar Energy Technologies Office: Local
government guide for solar deployment Procuring
solar for federal facilities Solar
technical assistants Energy-related
federal financial assistance programmes[43] |
Dutch
central government is promoting a 1.5% increase in energy savings per year in
order to cut CO2 emissions. It is making agreements on this with industry and
other economic sectors. Homeowners can get loans or grants to make their
homes energy-efficient[44]. |
|
Number
of articles published on this topic (numbers are based on “Google Scholar”) |
35 600 |
345 000 |
96 100 |
|
Slar
power based startups |
Solarify Enerji Atlası GTC Solar Solimpeks[45] |
Toledo Solar Violet
Power[46] |
Sundata |
Table 2.1
Comparison of the countries’ solar panel usage according to their applications
in daily life.
Table 2.2
Table of the Solar Energy Consumption of the Netherlands in GWh, the USA in
KWh, Turkey in MWh from the year 2000 to 2020[48],[49],[50],[51],[52]
|
|
Figure 1.1: The
Solar Energy Consumption of the Netherlands (GWh), the USA (MWh), Turkey (KWh) between
2000 – 2020[53],[54],[55],[56],[57]
PROCESSED DATA
Table 2.3
Table of the Solar Energy Consumption of the Netherlands, the USA, Turkey in
KWh from the year 2000 to 2020[58],[59],[60],[61],[62]
1 GWh = 1000000 KWh e.g.
7642 GWh = 7642000000 KWh
1 MWh = 1000 KWh e.g. 892 MWh = 892000 KWh
STATISTICAL
ANALYSIS
The statistical analysis was done with IBM
SPSS Statistics 24.0.
ONEWAY
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Notes |
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Output Created |
15-SEP-2022 14:09:50 |
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Comments |
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Input |
Data |
C:\Users\eren\Desktop\enerji tüketim.sav |
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Active Dataset |
DataSet1 |
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Filter |
<none> |
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|
Weight |
<none> |
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Split File |
<none> |
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N of Rows in Working Data File |
63 |
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Missing Value Handling |
Definition of Missing |
User-defined missing values are treated as missing. |
|
Cases Used |
Statistics for each analysis are based on cases with
no missing data for any variable in the analysis. |
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Syntax |
ONEWAY consumption BY groups /STATISTICS DESCRIPTIVES HOMOGENEITY /PLOT MEANS /MISSING ANALYSIS /POSTHOC=SNK TUKEY SCHEFFE LSD BONFERRONI DUNNETT
ALPHA(0.05). |
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Resources |
Processor Time |
00:00:00,25 |
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Elapsed Time |
00:00:00,19 |
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DESCRIPTIVES |
||||||||
|
consumption |
||||||||
|
|
N |
Mean |
Std. Deviation |
Std. Error |
95% Confidence Interval for Mean |
Minimum |
Maximum |
|
|
Lower Bound |
Upper Bound |
|||||||
|
Netherland |
21 |
1187,7143 |
2067,40831 |
451,14548 |
246,6413 |
2128,7873 |
8,00 |
7642,00 |
|
USA |
21 |
180,2857 |
278,65609 |
60,80774 |
53,4430 |
307,1284 |
5,00 |
892,00 |
|
Turkey |
21 |
18,5238 |
25,47473 |
5,55904 |
6,9279 |
30,1198 |
,00 |
83,00 |
|
Total |
63 |
462,1746 |
1294,56746 |
163,10017 |
136,1420 |
788,2072 |
,00 |
7642,00 |
|
TEST OF HOMOGENEITY OF VARIANCES |
|||||||||||
|
|
Levene Statistic |
df1 |
df2 |
Sig. |
|||||||
|
consumption |
Based on Mean |
18,761 |
2 |
60 |
,000 |
||||||
|
Based on Median |
5,648 |
2 |
60 |
,006 |
|||||||
|
Based on Median and with adjusted df |
5,648 |
2 |
20,723 |
,011 |
|||||||
|
Based on trimmed mean |
13,004 |
2 |
60 |
,000 |
|||||||
|
The homogeneity of
variance assumption is important so that the pooled estimate can be
used. The pooling of variances is done because the variances are assumed
to be equal and estimating the same quantity (the population variance) in the
first place. In this analysis,
there is no significant difference among the groups in terms of the
variances, which makes the variances in the analyzed data reliable. ANOVA |
|
||||||||||
|
consumption |
|
||||||||||
|
|
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|||||
|
Between Groups |
16856599,270 |
2 |
8428299,635 |
5,809 |
,005 |
|
|||||
|
Within Groups |
87049505,810 |
60 |
1450825,097 |
|
|
|
|||||
|
Total |
103906105,079 |
62 |
|
|
|
|
|||||
There is a
significant difference among the groups in terms of consumption. (p=0.005)
(ANOVA) This implies that my H1hypothesis was verified. (H1: There is statistically significant
difference between the solar power usage of three countries (the Netherlands,
the USA, Turkey) between 2000 and 2020.)
POST
HOC TESTS
|
MULTIPLE COMPARISONS |
|||||||
|
Dependent Variable:
consumption |
|||||||
|
|
(I) groups |
(J) groups |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
|
|
Lower Bound |
Upper Bound |
|||||
|
Tukey HSD |
Netherland |
USA |
1007,42857* |
371,71739 |
,023 |
114,1112 |
1900,7459 |
|
Turkey |
1169,19048* |
371,71739 |
,007 |
275,8731 |
2062,5078 |
||
|
USA |
Netherland |
-1007,42857* |
371,71739 |
,023 |
-1900,7459 |
-114,1112 |
|
|
Turkey |
161,76190 |
371,71739 |
,901 |
-731,5554 |
1055,0792 |
||
|
Turkey |
Netherland |
-1169,19048* |
371,71739 |
,007 |
-2062,5078 |
-275,8731 |
|
|
USA |
-161,76190 |
371,71739 |
,901 |
-1055,0792 |
731,5554 |
||
|
*. The mean
difference is significant at the 0.05 level. |
|||||||
|
|
|||||||
According to the Tukey HSD test (Tukey's honest
significance test,
or Tukey's HSD (honestly
significant difference) test, Post Hoc of ANOVA), when the countries are compared,
the solar energy consumption is significantly higher in the Netherlands than in
Turkey according to the available data (p=0.007). However, there is no
significant difference in terms of solar energy consumption between Turkey and
the USA (p=0.901) and between the Netherlands and the USA (p=0.023).
In conclusion, the data have shown that the solar
energy consumption is significantly higher in the Netherlands than in Turkey,
although there are much longer “sun hours per year” in Turkey. However,
although the consumption of solar energy is much lower in the U.S.A. compared
to the Netherlands, there was no significant difference in terms of solar
energy consumption between the Netherlands and the USA. Furthermore, although
the consumption of solar energy is much higher in the U.S.A. compared to
Turkey, there was no significant difference in terms of solar energy
consumption between Turkey and the USA.
DISCUSSION AND EVALUATION
LIMITATIONS OF THE DATA AND SUGGESTION
FOR THE IMPROVEMENT
The Netherlands is actually a country where the solar
energy is far less available when compared to the most parts of Turkey and the
USA. Although it may seem surprising that the solar energy consumption is
significantly higher in the Netherlands than in Turkey, this result needs
further analysis.
First of all, documentation of consumption of solar
energy is done accurately and thoroughly in the Netherlands, where plenty of
open-source documents are available. The data are kept and updated
continuously. This might be an important factor which makes the consumption in
the Netherlands seem to be higher. On the other hand, it has been quite
difficult to find officially verified documents of the Turkish government about
the solar energy consumption. It is very well possible that not every household
or industrial use, which has been increasing in the last decades, has been
registered officially. This has probably a negative effect on the available data
about the solar energy consumption.
APPLICATIONS
The usage of solar power usage mainly helps reducing
the global warming. From an anthropocentric view, we can create legislations in
order to increase the usage of solar energy. For instance, if governments
reduces the tax of the photovoltaic cells, people would be able to buy more. Also
campaigns and advertisements should be done in order to increase the awareness
of people. When governments take action about a topic, the citizens also pay
attention. Technically, when the governments reduce taxes and start campaigns a
new trend starts. Therefore, this suggestion would be effective. On the other
hand, when coal and other fossil fuels are cheaper than the photovoltaic cells,
people will prefer the cheaper one. Although, the governments, reduce the
taxes, solar panels might be still more expensive than fossil fuels. Therefore,
this can be considered as a limitation.
CONCLUSION
In conclusion, the data that is processed shows that
the usage of solar energy is significantly higher in the Netherlands compared
to Turkey, although they have much less exposure to the sunlight throughout the
year. It is obvious that the Netherlands invests in solar panel usage. The main
reasons for this difference might be the higher social awareness of
environmental issues and the higher annual national income in the Netherlands.
The USA also pays attention to the usage of solar
panels. However, the Netherlands has the highest usage. It can be considered
that the USA has a high annual national income, and they try to rise the social
awareness among the people. The USA is also a very big country with a variable
climate. It can be suggested that the use of solar panels is less common in the
parts with sunlight.
On the contrary, Turkey has a wonderful climate with a
very high number of sunny days which is an advantage for production of solar
energy. However, unfortunately, Turkey has a low national annual income.
Therefore, even if the society is aware of the importance of solar panel usage,
they cannot invest in that area.
As far as the application of the solar energy is
concerned, a lot of examples can be mentioned. Actually, solar energy can be used for water
heaters and house heating, for production of food, chemicals, textiles, and it
can also be used in warm greenhouses, swimming pools, and livestock buildings. The
usage of solar energy in these areas would not only supress the high costs of
the fossil fuels, but also offer a renewable and sustainable source of energy
which would fight against the environmental pollution and the global warming
with all its unwanted effects such as greenhouse gas
concentrations, sea level rise, ocean heat and ocean acidification.
Unfortunately, most of
these facilities with solar energy are not used in Turkey even though all these
items mostly do not require high technology. Being nicely located on the Earth,
Turkey has very long sun-hours. Therefore, we should investigate the
possibilities for investment for the usage of solar energy.
The data collected indicates that there is a
significant correlation between national annual income and solar panel usage.
Yet, exact data about social awareness could not be found. Further
investigation is necessary in that field. Probably, education of the Turkish
community about solar energy and its advantages will also make a difference in
awareness.
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(Date of Access: 25.01.2022)
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“Budget & Performance.” Energy.gov,
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