Clean Energy, A Sine Qua Non Condition for Sustainable Development


Citation Download PDF

International Journal of Innovation and Economic Development
Volume 4, Issue 5, December 2018, Pages 51-60

Clean Energy, a Sine Qua Non Condition for Sustainable Development

DOI: 10.18775/ijied.1849-7551-7020.2015.45.2005

 1 Georgeta Soava,  2 Anca Mehedintu,
 3 Mircea Raduteanu

 1 2 Faculty of Economics and Business Administration, University of Craiova, Romania
3 Procurement Directorate, University of Craiova, Romania

Abstract: Starting from the reality that Europe is in full transition, the aim of this study is to carry out an analysis to determine the contribution of renewable energy sources to primary energy production and also to determine the impact of the increase in the share of renewable energy on energy prices, on the economy. The study is based on the 2011 – 2015 information taken from the most recent studies conducted at EU and Romanian level on action plans on renewable energy sources and energy efficiency. On the basis of the data collected, the analysis focused on the share of renewable energy sources in energy production and primary energy production from renewable sources divided by individual sources and the structure of consumption on the main activities of the national economy to see how various factors influence the future of clean energy and the impact on energy prices. For analysis, a dynamic analysis tool was used, the Risk module in the Palisade software package, which through a series of simulations allows combining the identified uncertainties. The results of the analysis and simulations carried out made highlight the best scenarios of increasing the share of renewable sources in energy production, to lower energy prices and to sustainable economic growth.

Keywords: Renewable energy, Romania, Dynamic analysis, Support scheme, Sustainable growth, Energy potential, Green certificates

Clean Energy, A Sine Qua Non-Condition for Sustainable Development

1. Introduction

The 2015 Paris Agreement on the Global Climate Change has formalized EU’s goal to reduce greenhouse gas emissions by at least 40% by 2030, requiring EU Member States to take strong measures to support renewable energy sources. Renewable energies come from sources that either self-regenerates in a short time or are practically inexhaustible. Is the renewable form of energy produced by transfer of the energy resulting from renewable natural processes (European Parliament, 2016). The increase in demand for electricity in certain periods and the massive decline in other periods lead to the need for energy resources with a high degree of flexibility. Thus, the existence of reliable solutions for the storage of solar and wind energy is a sine qua non condition for the elimination of non-renewable sources as a source of electricity (YAO et al. 2016). The European Parliament is advocating renewable energy sources, and so by the resolution adopted in June 2016 suggested that the European Commission to increase up to 30% the EU’s objective for the use of energy from renewable sources that must be reach through national targets of the member states. Therefore, in 2016, more than one-quarter of the total EU-28 primary energy production comes from renewable energy sources and the increase in primary production from renewable energy sources has exceeded the production of all other types of energy (Eurostat, Statistics-explained, 2017).

The European Union through the Intelligent Energy-Europe Program (IEE), is at the forefront of promoting renewable energy, being leader in renewable energy technologies (holds 40% of global patents of renewable sources energy and almost half of the world’s renewable electricity production capacity), and wants to provide new options for a safe energy supply at reasonable costs (IEE 2012).

2. Literature Review

Primary energy production comes from processing natural resources are exploited (for example coal mines, crude oil fields, hydropower plants, or the fabrication of biofuels (Eurostat, 2017). Exhaustible primary energy sources are limited (in time and space), being able to meet the needs of human society for only a certain period (fossil and nuclear fuels). According to International Agency Energy (2015), electricity produced from renewable sources will grow by 45% over the period 2013-2020. According to the Bloomberg New Energy Finance Report (2016), in 2040, 70% of Europe’s and 44% of the US electricity production will be produced from renewable sources, reducing the share of natural gas in the energy mix from 33% to 31%, so expects that natural gas will be overtaken by renewable energies by 2027.

2015 marked a historic peak in renewable energy investments ($ 286 billion), so renewable energy plants exceeded conventional energy for the first time, the global green energy production capacity reached the equivalent of 55% of the capacity new installations, and for the first time the total installed capacity of renewable energy exceeded that of coal (the IEA report, 2016). The energy potential of Romania’s renewable energy sources consists of a diverse range of electricity productions resources (hydro, nuclear, natural gas, coal, renewable sources – wind, solar, biomass), but only a part of these resources can be used due to environmental restrictions, to the technologies necessary for the construction of the facilities and the storage of energy, to natural limitations leading to net electricity costs higher than those related to the use of fossil and nuclear fuel (except for large hydroelectric power plants) (PNAER, 2010).

In order to increase their sustainability, investments in renewable energy needed to be stimulated, and Romania has created a very generous support scheme for this purpose (introduced in 2008 to support the EU 2020 target for energy consumption from these sources), by means of which the corresponding authorities issued a certain number of green certificates for every megawatt of electricity produced, but the cost of these certificates was however reflected in the price paid by the final consumers. With the exponential increase in investment, the cost of electricity has become unsustainable, so the government has modified its support scheme, aiming at reducing the impact on final consumers’ invoices by staggering the financial effort of electricity consumers to support the promotion scheme and for a better functioning of the market mechanisms provided by the green certificates promotion scheme. The most affected are small power producers and those who do not have and other activities in the field, such as supply and distribution of energy (over 30% of all producers risk insolvency for this reason). According to economica.net (2017), 2016 was a bad year for the Romanian renewable energy industry, as over 40% of the producers being in bankruptcy.The global energy market is huge, so it is particularly important to identify the most energy-efficient energy sources. According to a study (Gaddy B., et. al., 2016) made in the summer of 2016, investments in renewable energy between 2006 and 2011 haven’t proved to bring any profits so far, it was estimated that investors lost more than half of the $25 billion invested. Thus, to achieve performance, it is necessary to invest long-term in new technologies that identify the best, the most efficient and cheaper energy sources. The use of the renewable source involves, besides the sources found in nature and the use of the appropriate technologies for the recycling of materials (Busch et al., 2017).

Mathews (2013) believes that the use of renewable energy technologies can lead to the emergence of new techno-economic paradigms. Therefore, energy storage may be a technology trend that will inspire new life in the energy sector, bringing both challenges and many opportunities and benefits for all stakeholders, both for producers and consumers. Renewable energy sources are still far from being as useful as fossil fuels are in everyday life, but through of a series of projects implemented in the past few years, the future can become cleaner and greener.

3. Methodology

In the study, we aim to analyze the contribution of renewable sources in the production of primary energy and to determine the impact of the increase of the share of renewable energy on energy price and thus on the economy.
Our research has started with the identification the necessity to the use of unconventional energy sources then we focused to the determination the share of renewables in the total energy production, and their evolution, so that we can analyze how various factors influence the future of clean energy and to determine their impact on energy price.

The information used in research have been taken from studies conducted at the level of the EU and in Romania for the period from 2011 to 2015, (Annual Report on the activity of the Romanian Energy Regulatory Authority, Monitoring report on the operation of the promotion system of electricity produced from renewable sources, Energy Balance and Energy Equipment Structure, Progress Report on National Energy Efficiency Goals), regarding the action plans for renewable energy sources and energy efficiency.
For predictive analytics, we will use a dynamic input data analysis tool, the Risk module included in the Palisade software package which, using several simulations, will allow combining the uncertain values identified in the model input data. The results of the analysis and simulations carried out have revealed the best scenarios to increase the share of renewables in energy production, to lower energy prices and to encourage sustainable growth.

4. Results and Discussion

Based on the data collected, we have conducted a series of analysis and simulations on the structure of primary and electric energy resources, the structure of energy consumption according to the main fields of activity of a country’s economy, the installed electrical capacity, production and evolution between 2011 and 2015, its impact on energy prices and the economy. The available energy resources declined in 2013 due to the drop in primary energy production and imports of energy products, after which there was an increase in these resources, mainly due to increases in hydro, wind, solar photovoltaic power resources (table 1).

Table 1: Energy resources in structure and main assortments

2011 2012 2013 2014 2015
RESOURCES OF ENERGY – TOTAL 44458 43403 40664 41695 42179
Primary energy production 27465 27112 25853 26314 26387
Coal (excluding coke) 8298 7846 6060 5736 5725
Oil 10426 9718 10141 11371 11513
Natural gas 12676 12582 11557 10943 10536
Import coke 505 470 451 465 503
Imported petroleum products 2280 2996
Hydroelectric, wind, solar photovoltaic and nuclear power 4101 4286 4591 5195 5096

 Source: Processing after Energy Balance and Structure of Energy Equipment (2011-2015)

The primary energy production during the analyzed period (2011-2015) has continued to preserve its significant share in total energy resources, accounting on average a 62.7% share, but even so, we can see that the figures have decreased after 2013 (table 2).

Table 2: The share of each type of source in the total primary energy production

2011 2012 2013 2014 2015
Coal (excluding coke) 30.21 28.94 23.44 21.80 21.70
Oil 37.96 35.84 39.23 43.21 43.63
Natural gas 46.15 46.41 44.70 41.59 39.93
Import coke 1.84 1.73 1.74 1.77 1.91
Imported petroleum products 8.66 11.35
Hydroelectric, wind, solar photovoltaic and nuclear power 14.93 15.81 17.76 19.74 19.31

 Source: Processing after Energy Balance and Structure of Energy Equipment (2011-2015)

However, we notice the changes of the electricity generation structure due to the development and integration policy of the renewable power plants the share of production of the plants using conventional sources of energy faced a significant drop every year in favor of renewable energy (table 3).

Table 3: Evolution of primary energy production structure by main energy sources (%)

2012/2011 2013/2012 2014/2013 2015/2014 2015/2011
Primary energy production 98.71 95.36 101.78 100.28 96.08
Coal (excluding coke) 94.55 77.24 94.65 99.81 68.99
Oil 93.21 104.35 112.13 101.25 110.43
Natural gas 99.26 91.85 94.69 96.28 83.12
Import coke 93.07 95.96 103.10 108.17 99.60
Imported petroleum products 131.40
Hydroelectric, wind, solar photovoltaic and nuclear power 104.51 107.12 113.16 98.09 124.26

 After the energy simulation process with the Risk module and upon choosing the most appropriate distribution (figure 1) in terms of the development of the production pattern according to the principal resources used (table 4), and depending on their development between 2011 and 2015, there has been an increase of the total production (62479.88).

Figure 1: Distribution of the production structure evolution on the principal resources with the Risk module

Table 4: Risk Fit Results

@RISK Fit Results
 Input  Gamma  Triang  Expon  Uniform
 Function RiskGamma (0.58237,37558)  RiskTriang (0,0,77190)  RiskExpon (21143)  RiskUniform (0,68582)
 Distribution Statistics
Minimum               –                      –               –               –               –
Maximum  66,296.00  +Infinity          77,190.49  +Infinity           68,582.07
Mean  21,143.63        21,872.72          25,730.16      21,143.63          34,291.03
Mode  012.0000 [est]                      –                      –                  –                        –
Median    9,699.50        11,261.55         22,608.57      14,655.65           34,291.03
Std. Deviation  23,624.37         28,661.87          18,193.97      21,143.63           19,797.94
Skewness          0.84                 2.62                 0.57              2.00                        –
 Kurtosis          2.11               13.30                  2.40              9.00                   1.80
5%          8.00             180.49            1,954.51        1,084.53            3,429.10
10%      420.00             597.60            3,961.16       2,227.70            6,858.21
15%    1,616.00          1,211.27            6,024.37        3,436.24          10,287.31
20%    1,982.00          2,011.71            8,149.22       4,718.07           13,716.41
25%    2,012.00          2,999.69          10,341.57       6,082.64           17,145.52
30%   2,014.00         4,182.99         12,608.29       7,541.40           20,574.62
35%   2,015.00          5,575.71          14,957.53        9,108.32          24,003.72
 40%   2,640.00          7,198.67          17,398.99      10,800.71           27,432.83
 45%    6,201.00          9,080.81          19,944.49     12,640.45           30,861.93
 50%   7,062.00        11,261.55          22,608.57     14,655.65           34,291.03
 55% 14,946.00        13,794.79          25,409.54      16,883.35           37,720.14
 60% 17,007.00        16,755.37          28,370.94     19,373.72          41,149.24
 65%  19,279.00        20,250.06          31,523.98     22,197.05           44,578.34
 70%  8,641.00        24,437.24          34,911.52     25,456.36           48,007.45
 75% 40,245.00        29,564.89          38,595.25     29,311.30           51,436.55
 80% 44,062.00        36,051.88          42,669.85     34,029.37           54,865.66
 85%  58,888.00        44,689.43          47,294.74     40,112.01           58,294.76
 90%  59,047.00        57,267.91          52,780.72      48,685.01           61,723.86
 95% 65,675.00        79,555.65          59,930.17     63,340.66          65,152.97

Applying the best distribution on each type of energy we get the fit variant. So, a steady decrease as far as renewable energy sources are concerned (hydropower: 15837.43, wind power: 3767 and solar power: 897.16) (table 5) and the increased production of thermoelectric energy (41904.01).

Table 5: Structure of electricity resources (Gwh)

2011 2012 2013 2014 2015 Fit Data
Hydropower 14946 12337 15307 19279 17007 15837.43
Wind power 1387 2640 4520 6201 7062 3767
Photovoltaic solar energy 0 8 420 1616 1982 897.1592
Thermal energy 45883 44062 38641 38579 40245 41904.01
Energy production 62216 59047 58888 65675 66296 62479.88

Significant increases in production recorded for all types of electricity from renewable sources: hydroelectricity increased by 13.79%, wind by 409.16%, and photovoltaic recorded the biggest increase compared to 2011 (Table 6).

Table 6: The share of each energy source in total output (%)

2012/2011 2013/2012 2014/2013 2015/2014 2015/2011
Production 94.91 99.73 111.53 100.95 106.56
Hydroelectric power 82.54 124.07 125.95 88.22 113.79
Wind power 190.34 171.21 137.19 113.88 509.16
Photovoltaic solar energy  5250.00 384.76 122.65
Thermal energy 96.03 87.70 99.84 104.32 87.71

Although the share of thermoelectric energy is declining steadily (less in 2015), the most significant resource remains (contributing an average of 66.7%) to electricity production. The share of energy from renewable sources in final gross consumption of electricity increased from 31.7% in 2011 to 44% in 2015. We note that the contribution of renewable sources to primary energy production increases significantly. Concerning the energy consumption is concerned, it has decreased in 2015 in comparison with 2011 by 3.75%, and the total while the one in industry faced the biggest decrease (9.23%) which has a significant share in the total consumption (about 30%), followed by the population (6.29%), with a weight of about 35% in the final energy consumption.

Figure 3: Energy use on the main activities of the economy

Thus, we notice that the closure or the diminution of some important sectors of the economy leads to a diminution in energy consumption, and this reduction is offset by the development of the tertiary sector of agriculture and transport, which have a cumulative share of 36.86% in the total final energy consumption, thereby, slightly offsetting the decreases of the final energy consumption in industry and households (with a cumulative share of over 65% in final energy consumption) (table 7).

Table 7: The share of each sector in total consumption (%)

2011 2012 2013 2014 2015
Agriculture and forestry 1.90 2.19 2.16 1.96 2.11
Industry (including construction) 31.18 29.85 28.82 29.70 29.40
Transport 23.35 23.50 24.51 25.25 25.53
Other activities 8.91 8.89 9.11 8.99 9.22
Population 34.65 35.56 35.40 34.10 33.74

Applying the best distribution on each type of energy we get the fit variant (table 8).

Table 8: Analysis of the structure of consumption on the main activities of the economy with Risk

2011 2012 2013 2014 2015 Fit Data
Agriculture and forestry 377.783 541.492 440.845 313.526 451.187 435.3225
Industry (including construction) 7624.36 5860.24 6397.78 6469.46 6275.95 6308.914
Transport 5080.84 5101.18 5141.33 5867.29 5352.78 5582.621
Other activities 2067.56 1883.54 1986.1 2187.57 2214.2 1948.816
Population 7177.07 8936.65 8183.74 7041.76 8243.16 7745.474
Final energy consumption 22750 22767 21885 21736 21896 22766.93

As far as the capacity of the plants using renewable resources is concerned (Table 9), there is a significant increase (only hydro has decreased) in 2015 in comparison to 2011 (356.7% for wind power stations, 424% for biomass power plants, whereas photovoltaic power stations experienced the biggest increase – from 1 MW, they reached 1226 MW). This is mainly due to the promotion system of clean energy using green certificates which has had an upwards share increase from 9.35% of the total production from renewable sources, reaching 31.44% in 2015 (table 10).

Table 9: Evolution of structure of installed electrical capacity (%)

Central type / year 2012/2011 2013/2012 2014/2013 2015/2014 2015/2011
Wind power stations 218.61 144.35 88.43 127.81 356.69
Hydro power stations 112.96 124.36 58.57 105.47 86.77
Central biomass, including waste gas fermentation plants and sludge fermentation gas from sewage treatment plants 112.00 235.71 151.52 106.00 424.00
Central photovoltaic 4600.00 2517.39 106.22 105.37 129600.00

Table 10: Production of energy from renewable sources

Centre type / year 2011 2012 2013 2014 2015
Total energy production from renewable sources 16142 14977 22362 24782 25822
Production sustains by promoting E-RES, out of which: 1510 3365 6279 7859 8118
wind power stations 1150 2640 4520 4556 4944
hydro power stations 280 560 905 1299 853
central biomass 79 157 445 685 724
central photovoltaic 1 8 409 1319 1597

Source: Processing after Energy Balance and Structure of Energy Equipment (2011-2015)

There were significant increases in electric energy production using hydropower, wind and photovoltaic solar energy until 2015 when the industry faced a 1.81% drop in comparison to 2014. Although the share of thermoelectric energy is continuously decreasing (except in 2015), it still is the most significant resource (with an average share of 66.7%) in the production of electric energy. The share of energy produced using renewable sources in gross final electric energy consumption recorded an increase from 31.7% in 2011 to 44% in 2015. We note that the contribution of renewables to primary energy production faces a significant increase.

An analysis of the costs related to electricity production has allowed us to identify a substantial decrease thereof due to the use of renewable energy sources, but even so, the price paid by the final consumers has increased. After analyzing the evolution of the impact of the use of the E-RES promotion system in electricity prices to the final consumer, we found that it has increased progressively starting with 2011 until 2013, when it faced a decrease due to both the reduction of the mandatory annual share of electricity produced from renewable energy sources benefiting from the green certificates promotion system, and the weighted average their price, the renewable energy support scheme being adjusted from 2014 onwards. The unit income of E-RES producers (which depends on the quantity of electric power being sold) benefiting from the promotion system (Euro/MWh) been continuously declining, while also lowering the share of green certificates within this income (from 60.24% down to 49.72%). Upon carrying out the sensitivity analysis and performing several simulations using various pre-determined scenarios (figure 3), we note that if renewable energy production decreases, based on the energy mix we use, energy prices will increase substantially (by 40 to 50%).

Figure 3: RISK – Output report for the average revenue of E-SRE and CV / 2011 -2015

As the production of equipment increases and clean energy technologies develop, the costs related to energy production from renewable sources will eventually face a decrease.

4. Conclusion

Electric energy consumption is influenced by a country’s level of economic development, by the living standards of the population and, last but not least, by the efficiency of the technologies used. Energy produced from renewable sources is increasingly used in everyday life, but the costs related to the use of renewables are still quite high, this is cause as the main reason that explains why people still need to carry on using energy from fossil fuels, and why electricity prices will continue determined in the future to a large extent depending on the fuel price. Assuming that renewable energy capacity will continue to develop in the following period, to create sustainable development based on the use of clean energy, we can say that without lowering the costs of producing for this type of energy and continuing the producer support scheme, and without eliminating coal subsidies, the use of this type of energy will not increase but will diminish, which isn’t beneficial for our country’s position at EU level. Finding the most appropriate and smart solutions for the storage of surplus green energy will bring many opportunities and benefits for all stakeholders, both for producers and consumers, and will have a direct impact on Romania’s position at a regional level.



Comments are closed.