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    Energy efficiency and conservation indicators in Yemen

    Author:

    Ali M. Al-Ashwal

    Department of Electrical Engineering, School of Engineering, Lebanese International University (LIU), Sana’a Campus, Sana’a, Yemen, YE
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    Abstract

    In this paper we assess energy conservation and analyse energy efficiency in various sectors in Yemen. Accordingly, the paper introduces Yemen energy profile, energy resources and performs calculations of a number of energy indicators for different sectors. Country-specific socio- economical characteristics are presented. The concerned energy indicators covered the following: macro level indicators and indicators of energy transformation, industry, tertiary, residential, transport, agriculture and fishing sectors. For each sector 8–12 indicators were calculated. For instance the macro level indicators include: energy dependency, intensity of primary energy, intensity of final energy, ratio of final energy consumption to primary energy, ratio of final energy bill to GDP, average emission factor, intensity of CO2, average primary energy consumption per habitant, average electricity consumption per habitant. Similarly other sectors have their relevant indicators. In total 50 indicators were calculated for a period of 7 years, 2003–2009. The results of calculations are discussed and analysed. The paper has shown the high potentials of Renewable Energy Resources. Further it was shown how low the energy efficiency and energy consumption in this country are. Finally the Paper has shown also that energy dependency is reaching zero soon and within few years can be positive which shall make the country in a difficult economical challenge due heavy subsidies on energy sector and expected increase of energy consumption. Here one can see the value of this work as an initial step to help in the development of an energy strategy for Yemen.
    Keywords: Energy conservation ,   Energy efficiency ,   Energy indicators ,   Energy intensity  
    How to Cite: Al-Ashwal, A.M., 2016. Energy efficiency and conservation indicators in Yemen. Future Cities and Environment, 2, p.3. DOI: http://doi.org/10.1186/s40984-016-0016-0
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      Published on 01 Apr 2016
    Peer Reviewed
     CC BY 4.0
     Accepted on 21 Mar 2016            Submitted on 4 Nov 2015

    Introduction

    This work is a summary of the main of Yemen’s contribution to a regional Middle East and North Africa (MENA) project titled “Energy Efficiency Indicators”. The project covered ten countries and started January 2011. The final Report was published on October 2012 [1]. The political unrest which erupted in many of the participating countries had led to delays in finalising the project.

    The political unrest and lack of a National Data Bank has made the data collection phase very tedious. Nevertheless the data availability has reached more than 63 % which provides a sufficiently good basis to perform the study. Accordingly the indicators were calculated and the work was performed.

    Since human activity is heavily dependent on energy usage and generation, energy indicators have long been used as a measure of a society’s development and sustainability. For example, in 1996 the United Nations Department for Policy Coordination and Sustainable Development complied over 130 indicators [2]. Such a large set can provide an accurate way to assess different aspects of sustainability and development [3–6].

    This paper introduces Yemen’s energy profile and energy resources. The energy profile shows that the transportation sector is the largest consumer of energy. Next, energy resources are presented, oil is the main source but its production has declined. On the other hand, gas is a promising resource and renewable energy resources have a very high potential. Then the paper presents and analyses a number of energy indicators in Yemen. Both macro level indicators and those for different sectors are discussed in order to assess energy conservation and find out energy efficiency in various sectors. Some of the indicators used are defined and the method to calculate them is presented in Appendix. To assist in the analysis country-specific socio-economical characteristics are presented. The energy indicators covered the following: macro level indicators and indicators of energy transformation, industry, tertiary, residential, transport, agriculture and fishing sectors. For each sector 8–12 indicators are calculated.

    In total 50 indicators were calculated covering a period of 7 years, 2003–2009. The civil unrest which started end of 2010 early 2011 has made it difficult to extend the analysis beyond 2009. The results of the calculations are discussed and analysed. The paper has shown that both energy efficiency and consumption are extremely low in Yemen. Finally, the paper shows also that energy dependency is reaching zero soon and within few years can be positive which shall make the country in a difficult economic situation due to heavy subsidies on energy sector and expected increase of energy consumption. Here one can see the value of this work as an initial step to help stakeholders of the sector to develop rational energy strategy for Yemen.

    Energy profile and energy resources

    Energy profile

    Energy demand was in 2009; 7423 thousand ton oil equivalent (ktoe) [7, 8]. This demand is met by local production and imported oil products of 4550 ktoe. However, Yemen exports crude oil and natural gas which reached 12,694 ktoe in 2009. Figure 1 shows the energy profile of the country. The grand total of energy production in 2009 reached 15,567 ktoe. The transport sector was accounted for 34 % of the consumption (most consumption), while minimum consumption was due to the tertiary sector. The profile structure can be explained by the fact that only 70 % of the country is covered by electricity, tourist industry is not strong due to the high security risk and biomass is not included in residential consumption.

    Fig. 1 

    Energy consumption of different sectors

    Energy resources

    The energy resources in Yemen consist of the following:

    1. Oil [2]: It is the main source of energy. Yemen has been exporting oil since the nineteen eighties. The amount of produced crude oil reached 400,000 barrel/day in nineteen nineties but in 2009 it was 284 barrel/day.
    2. Gas [2]: Currently, the certified gas reserved is 18.215 tcf. From this amount 9.5 tcf is allocated for export. The rest can be used for domestic needs or for export.
    3. Renewable Energy Resources: They have a high potential. A study carried out by the Consultants Lahmeyer International, Germany assessed these potentials and had the following findings [9]:
      1. Wind: preliminary estimates showed that around 14,214 MW could be developed at assessed windfarm sites. Economically attractive sites were those with more than 3500 full load hours per year. A capacity of around 2507 MW could be developed at these sites which could generate around 8293 GWh of electricity per year.
      2. Solar: The annual average solar insolation in Yemen ranges from 5.2 to 6.8 kWh/m2/day. The resource assessment study estimated a technical potential for different applications, e.g. solar heating, photovoltaic and solar thermal, that could reach 2210 MW.
      3. Geothermal: Yemen is situated near three tectonic boundaries which are among the most active in the world, viz. the Gulf of Aden, the Red Sea and the Eastern African Rift System. These three tectonic plates meet in a triple junction creating high geothermal gradient, and subsequently geothermal energy potential was estimated to be 28.5 GW.

    Yemen circumstances affecting energy indicators calculation

    Yemen has specific factors affecting calculation results of energy indicators. These factors are listed below:

    1. Electricity and oil products are heavily subsidised, the subsidies reached around US$2.7 Billion in 2014. This is approximately 6 % of the GDP. This situation affects Energy Intensity Indicators. For example, energy intensity could be high because the fuel is cheap, see Appendix Table 10.
    2. Shortage of power generation to meet demand is estimated to be 1200 MW. This shortage is around 30 %. In addition, more than 30 % of the country territory is not covered by electricity supply and many industries have their own power station which are not connected to the national grid. Therefore, the average electricity consumption is very low.
    3. Biomass (wood, firewood and/or charcoal, dang, etc.) has substantial participation in rural household energy consumption. This form of energy is not recorded and varies from 1 year to another depending on some factors such as liquid petroleum gas (LPG) availability, rainfall and unemployment in rural areas.
    4. Yemen’s GDP is considered to be very low. According to the IMF [4] Yemen’s GDP per capita in 2009 was USD 2475 and it was ranked 137 in the world, due to the political instability since 2011 the GDP has been dropping.

    Indicator analysis

    Data collection and main sources of data

    Appendix shows basic formulas for calculation of those indicators which require further clarification. In order to calculate the indicators, the necessary data had to be collected. During data collections a number of difficulties were faced some of which are listed below:

    • Access to data sources is not easy, moreover some data is considered secret.
    • The political unrest since 2011 has limited the data availability for these years.
    • There are no sector specific data.
    • There is no data history.
    • The available data contains discrepancies.
    • Complex routine and bureaucracy in all ministries and even private sector entities.
    • Involvement of various entities in the same task, for example transport sector.
    • The existing databases have limited capacity and capability and lack of MIS.
    • Unfortunately in Yemen there is no National Data Bank.

    In order to comprehensively carry out the task many sources were used, mainly:

    • Yearly Statistical Book [7].
    • Records of many ministries, entities, corporations and organization concerned in energy [10–15].
    • Records of some international agencies [16].

    Macro-level indicators

    Macro-level indicators are concerned with the country’s energy status and its impact on the economy, social development and the environment. The importance of macro-level indicators of energy of a country comes from the fact they reflect its level of economic and social development. In addition, macro-level indicators expose other aspects such as environmental issues and energy efficiency. The formulas need to calculate these indicators are presented in Appendix Table 10. In this study the macro level indicators include:

    • Energy dependency, which is related to energy import/export status and is an indicator of a country’s dependency on energy imports.
    • Intensity of primary energy, intensity of final energy and ratio of final energy consumption to primary energy. These three indicators are related to energy efficiency as explained [6].
    • Ratio of final energy bill to GDP, which is related to the country economy.
    • Average emission factor and intensity of CO2. These two indicators are related to environment.
    • Average primary energy consumption per inhabitant and average electricity consumption per inhabitant which are social indicators.

    From Table 1 and as shown in Fig. 2 one can see that first indicator energy dependence ratio (EDR) was −417 % in 2003, but in 2009 it climbed to −110 % which means that Yemen was independent in its energy resources until 2009. Furthermore, Yemen exports energy products (oil and gas). However, since the EDR indicator is increasing rapidly, one could conclude that Yemen could go into energy dependency phase within few years.

    Table 1

    Macro-level indicators

    Abb Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    EDR Energy dependence ratio % −417 % −438 % −300 % −286 % −168 % −135 % −110 %
    IPE Intensity of primary energy toe/106 YR 2.01 1.85 2.34 2.12 2.55 2.56 2.72
    IFE Intensity of final energy toe/106 YR 1.54 1.43 1.81 1.66 1.98 2.01 2.13
    RFEPE Ratio of final energy consumption to primary energy % 77 % 77 % 77 % 78 % 78 % 78 % 78 %
    REB Ratio of national energy bill to GDP % 8 % 9 % 13 % 12 % 14 % 16 % 11 %
    RPSE Ratio of public subsidies for energy to GDP % 0.07 % 0.21 % 0.73 % 1.1 % 1.5 % 3 % 3.6 %
    AEF Average emission factor teCO2/toe 3.06 3.05 3.03 3.02 3.02 3.00 3.00
    ICO2 Intensity of CO2 teCO2/106 YR 6.15 5.65 7.09 6.40 7.71 7.68 8.16
    AECH Average primary energy consumption per habitant ktoe/103 hab 0.218 0.203 0.263 0.241 0.296 0.300 0.325
    AELCH Average electricity consumption per habitant MWh/hab 0.143 0.149 0.162 0.173 0.190 0.203 0.203
    Fig. 2 

    Energy dependency ratio

    The second and third indicators are related to intensity of primary and final Energy (IPE &IFE1) which have small values not due high efficiency but because the energy consumption is comparatively low, the results are summarised in Fig. 3.

    Fig. 3 

    Primary and final energy intensity

    It is worth examining the fifth indicator, i.e. Ratio of National Energy Bill to GDP. The significant growth in this indicator is deemed a great challenge for Yemen. Thus it is essential for the State to reform its fuel subsidy policy.

    Unitary energy and electricity consumption indicators show low levels compared to other countries which reflect the overall low level of economic development in Yemen. In addition, they indicate that high demand for energy should be expected in the future as development programs are implemented. The results are summarized in Fig. 4.

    Fig. 4 

    Average primary energy and electricity consumption per capita

    Energy transformation sector indicators

    Energy transformation sector is related to all forms of energy conversion. In Yemen it includes all forms of electricity generation and oil refinery. Formulas to calculate these indicators are defined in Appendix Table 11.

    Electricity sector suffers from serious problems, mainly: shortage of available generating capacities to meet demand, low efficiency as shown in Table 2, low coverage of supply, low reliability, bad quality of services and mismanagement. The Sector needs to be reformed and the investment plans must be implemented.

    Table 2

    Electricity generation and consumption

    Units 2003 2004 2005 2006 2007 2008 2009
    Consumed electricity ktoe 235 253 283 312 351 387 399
    Generated electricity ktoe 355 375 410 459 519 563 581

    In Yemen there are two oil refineries. One was installed in Aden when it was British Colony, in the middle of last century. The monthly average crude oil refined in Aden Refinery is 2.161 MMbbls. The yearly production profile is shown in Table 3.

    Table 3

    Yearly Petroleum product production

    Product LPG Naphtha Kerosene Gasoline Diesel Fuel oil Asphalt
    Million Ton 50,144 59437 533,197 918,271 918,105 571,308 925,38

    The other oil refinery is located in Mareb which was installed in the nineteen eighties. The monthly average of crude oil refined in Mareb Refinery is 250,000 bbls, i.e. around 10 % of the capacity of Aden refinery and having almost the same spectrum of oil products.

    The Table 4 presents the main indicators calculated for transformation sector. The zero share of renewable energy electricity capacity indicator (SREC) shows that renewables are not utilized in spite of their high potentials (SREC) as discussed in section Energy resources.

    Table 4

    Indicators of energy transformation

    Abbreviation Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    SREC Share of installed renewable energy electricity capacity % 0 % 0 % 0 % 0 % 0 % 0 % 0 %
    URIC Usage rate of the installed power generation capacity % 47 % 45 % 49 % 54 % 59 % 61 % 50 %
    AETS Apparent efficiency of energy transformation sector % 78 % 77 % 78 % 75 % 77 % 74 % 74 %
    PGEFF Power generation efficiency of thermal plants % 30 % 31 % 32 % 32 % 33 % 33 % 33 %
    SCFFP Specific consumption of thermal power plants toe/GWh 283.1 281.1 270.1 265.7 259.1 258.6 263.2
    PGF Power generation efficiency % 30 31 32 32 33 33 33
    SCPG Specific consumption of power generation toe/GWh 283.1 281.1 270.1 265.7 259.1 258.6 263.2
    TDEE Transmission and distribution electricity system efficiency % 78 % 80 % 83 % 82 % 83 % 83 % 85 %
    PGEF Power generation emission factor teCO2/GWh 821 815 783 770 751 750 763
    ESEF Electricity sector emission factor teCO2/GWh 1169 1142 1006 999 965 950 951

    Usage rate of the installed power generation capacity (URIC) indicator reflects power station availability and utilization. It ranges between 47 and 61 %, which is significantly low. Noticeable sharp reduction of this indicator in 2009 is due to the fact that the Public Electricity Corporation (PEC) started in this year electricity purchase from private electricity producers.

    Apparent efficiency of energy transformation sector (AETS) indicator, Fig. 5, generally expresses whole energy efficiency. It ranges between 78 and 74 %, which is quite low. This fact should encourage concerned entities to work out initiatives to improve the efficiency.

    Fig. 5 

    Apparent efficiency of energy transformation sector

    Generation Emission (PGEF) indicator shows slight improvement in the emission reduction factor. However this indicator is still high compared to similar countries in the region. Specific Fuel Consumption (SCFFP) indicator shows a reduction in fuel consumption up to 2008. In 2009 it slightly increased possibly due to power shortage increases which led to the running of the thermal plants with lower efficiency.

    Indicators PGF and SCPG are replica of PGEFF & SCFFP indicators respectively, because power generation types in Yemen is limited to thermal power stations, see Fig. 6.

    Fig. 6 

    Transformation sector indicators: electricity sector emission factor and consumption of power generation

    Industrial sector indicators

    Industrial sector in Yemen is still at a low level of development, as the contribution of the industrial sector in the GDP for 2009 was around 24 %. This fact is clearly seen from the amount of energy consumed by the industry sector which reached 15.2 % (881 ktoe) of final energy consumption in 2009 year. Industries like steel and new cement plants were commissioned in 2011. But other heavy industries do not exist.

    Final energy intensity for industry is given by final energy consumption of industry sector divided by added value at a constant price. One can see that the intensity almost doubled between 2003 and 2009. But this increase occurred due to less increase rate of value added of the sector. Specific consumption for cement seems to be within the average in similar countries. The results are summarised in Table 5.

    Table 5

    Industrial sector indicators

    Abbreviation Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    BSEC Specific energy consumption for cement toe/t 0.101 0.099 0.115 0.103 0.110 0.110 0.109
    FEIIS Final energy intensity of industry sector toe/106 YR 5.335 5.086 6.548 6.233 7.977 8.358 9.120

    Tertiary sector indicators

    Due to unavailability of most of data for this sector, the indicators were not calculated except Energy Intensity which is defined as the final energy consumption of the tertiary sector divided by the tertiary sector added value at constant price, as shown in Table 6. Here we notice slight increase in energy intensity because value added increasing was less than energy consumption which indicates less efficiency.

    Table 6

    Tertiary sector indicators

    Year 2003 2004 2005 2006 2007 2008 2009
    Energy intensity Toe/106 YR 2.66 2.43 2.91 2.72 3.18 3.23 3.36

    Residential sector indicators

    The fact that around 40 % of the electricity output of distribution is consumed by household customers makes the residential sector of paramount importance. However, the number of dwellings using electricity supply represents less than 70 %. In order to meet the inhabitants’ demands for lighting, cooking, heating, cooling and other residential activities. This sector consumes other forms of energy, such as gas, kerosene, wood and biomass in addition to electricity. From Table 7 the following observations can be made:

    Table 7

    Indicators of residential sector

    Abbr. Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    UCED Unit consumption of energy per dwelling kgoe/Dw 183.40 179.39 226.09 216.54 257.68 266.74 283.16
    UEICD Unit consumption of electricity per dwelling kWh/Dw 398.78 415.80 447.32 486.02 532.88 561.83 562.52
    RIPE Intensity of residential sector toe/Million LC 2.66 2.57 3.21 2.84 3.14 3.14 3.04
    ERACR Equipment rate of air conditioning in residential sector Unit/Dw 0.111 0.111 0.113 0.112 0.114 0.123 0.120
    ERFR Equipment rate of refrigerator in residential sector Unit/Dw 0.217 0.230 0.244 0.254 0.275 0.288 0.303
    • ❖ The unit consumption of energy (kgoe/Dw) indicator is generally low but its average increase rate is high, almost 6 % per year. The low level is explained by the low economic development of the country.
    • ❖ Electricity consumption of household indicator is also low but its average increase rate is high, almost 4.8 % per year. It should be noticed that during these years and up to now there is severe power shortage. Which resulted in daily power cut-offs of at least 30 % of maximum demand. Therefore the figures shown in Table 7 are lower than what they should be.
    • ❖ Energy intensity, defined as final energy consumption of the residential sector divided by household expenses at a constant price, has increased probably due to the increase in the number of households which have been connected to electricity supply.
    • ❖ Although the energy products are subsidized, energy intensity indicator seems too low. This is because other forms of fuel were not included (biomass) which are used extensively in rural areas. In addition, some dwellings included in the total number may use negligible amount of energy and some may be not occupied by households.
    • ❖ Air-conditioning diffusion rate shows low figures, i.e. in 100 dwells there were only 11 air-conditioners for the year 2003. This figure increased up to 12 air-conditioners for year 2009. There is number of reasons behind this result:
      • ➢ Electricity Coverage is around 70 %.
      • ➢ Around 70 % of dwellings are located in rural areas where this equipment is considered a luxury.
      • ➢ High percentage of the population lives in the mountainous area, i.e. highlands having elevation higher than 1000 m above sea level and higher, where there is no need for air-conditioning.
    • ❖ Refrigerator Indicator (ERFR), compared with other countries in the region, shows a low rate, in 1000 dwells there were only 217 refrigerators for year 2003 and 304 units for year 2009. This situation is explained partially by above mentioned reasons of air-conditioning indicator. But these rates are higher than air-condition rate because:
      • ➢ A refrigerator is considered basic need for urban household.
      • ➢ Electricity consumption of refrigerator is lower than that of air-conditioners.
      • ➢ Refrigerators are needed in all areas of Yemen.

    Transport sector indicators

    It is worth noting that the transportation sector consumed around 34 % of final energy consumption for 2009. This fact shows the importance of initiating and developing energy saving policy in this sector.

    Referring to overall intensity of final energies, transport energy intensity indicator reflects the high energy consumption level of this sector (34 %). The intensity increased from 0.684 toe/Million RY in 2003 to 0.629 toe/Million YR in 2009 (see Table 8). This is more likely due the increase in the fuel price in that period. Share of household expenditure for transport indicator shows significant increase from less 16 to 19 % which negatively impacts household living quality. Motorization Rate (MR) indicator shows that the increase rate of vehicles was higher than population increase rate (see Table 8). Coupled with the very high population growth rate such a rapid increase is not sustainable.

    Table 8

    Indicators of transport sector

    Abb Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    TrFEI Final energy intensity of transport sector toe/Million YR 0.684 0.629 0.805 0.729 0.882 0.889 0.947
    STEHE Share of household expenditure for transport % 16 % 17 % 19 % 19 % 18 % 19 % 18 %
    EUCC Average energy unit consumption of cars kgeo/car/year 1518 1518 1518 1518 1518 1518 1518
    EUCC G Average energy unit consumption of gasoline cars kgeo/car/year 1755 1755 1755 1755 1755 1755 1755
    EUCC D Average energy unit consumption of diesel Cars kgeo/car/year 734 734 734 734 734 734 734
    AEFTS Average emission factor of transport sector teCO2/toe 2.9 2.9 2.9 2.9 2.9 2.9 2.9
    MR Motorization rate persons/Vehicle 61.1 56.9 52.8 50.8 48.7 47.4 45.0
    ICO2 CO2 intensity of transport sector kgeCO2/YR 1.99 1.82 2.33 2.12 2.56 2.58 2.75

    Agriculture and fishing sector indicators

    Agriculture and fishing sector is the most important sector for national economy because more that 70 % of population live in rural areas where agriculture and fishing are the main activities. Furthermore, great efforts are paid to restrict population flow from rural areas to urban areas. This goal cannot be achieved unless there is sustainable development in rural areas. Hence the main aspect should be the agriculture development. Therefore energy indicators for agriculture and fishing sector have particular importance to rural development and to the national economy. The indicators are defined in Appendix Table 13.

    From Table 9 the following observations can be made:

    Table 9

    Agriculture and fishing sector indicators

    Indicators Unit 2003 2004 2005 2006 2007 2008 2009
    Final energy intensity of agriculture toe/106YR 6.97 6.76 8.85 8.12 9.73 9.79 1.07
    Final energy intensity of fishing toe/106YR 7.85 7.73 6.76 6.88 8.61 1.02 1.01
    Specific consumption for fishing toe/tone 0.066 0.067 0.0721 0.0783 0.118 0.166 0.113
    Share of dry cultivated area % 47 % 47 % 48 % 49 % 50 % 49 % 47 %
    Share of irrigated cultivated area % 53 % 53 % 52 % 51 % 50 % 51 % 53 %
    Share of equipped wells with diesel pumps % 93 % 93 % 93 % 93 % 93 % 93 % 93 %
    Share of equipped wells with electric pumps % 7 % 7 % 7 % 7 % 7 % 7 % 7 %
    • Final energy Intensity for agriculture increased more than 53 % between 2003 and 2009. But this increase was due to less increase rate of added value of the sector.
    • Energy Indicators for fishing show the high economical value of this sector with respect to energy consumption and energy intensity. This is due energy subsidy and large amount of fishes in the Red Sea and Arab Sea.
    • More than 90 % of wells are equipped with diesel engine pumps rather than electrical pumps because most of rural areas are not covered by electricity supply.

    Conclusion

    This work presented a summary of the energy indicators for Yemen up to 2009. Further data could not be collected due to political unrest since 2011. For the first time such an exercise is performed in Yemen. This work can be considered a foundation upon which future reforms to the energy sector in Yemen can be built. This task can be considered one of most important due to expected impact of this study on the energy sector in particular and to the country development in general. Going through this exercise a number of observations may be pointed out:

    1. Most of the entities concerned are not enthusiastic about energy conservation and energy efficiency indicators.
    2. Data availability and data structure did not meet the standard formulation requirements of energy conservation and energy efficiency indicator calculation.
    3. Having analysed the energy profile, energy resources and the energy indicators one may conclude that:
      1. There is a high potential for renewable energy resources in Yemen, which imposes the necessity to take into account these resources in any future planning and energy strategy development.
      2. Energy dependency curve shows that the breakeven point (when the export and import of energy are equal) could take place within 2–3 years. This result is very alarming and decision makers must develop policies to meet the future energy needs of the country. The amount of exported oil is rapidly decreasing because of the drop in oil production and the increase in consumption. The depletion of oil is estimated to take place within 10–15 years
      3. Low level of energy consumption and electricity consumption compared with similar countries should warn decision makers about possible significant increase in energy demand of the country in the coming years.
      4. From the above two points it is clear that the existing level of state fuel subsidies is not sustainable.
      5. Calculated low energy efficiency in different energy sectors should encourage decision makers to invest in energy conservation research and studies.
      6. This paper has shown that the fishing sector is the most economical one, which should encourage decision makers to invest in the fishing industry.
      7. The paper also can be considered as a first initiative in establishing an energy indicator framework in Yemen. Therefore it would lead to open up a wide possibility for further research works in energy sector, for instance:
        • Establish a data bank suitable for calculation of energy indicators
        • Further development of the energy indicator framework to include more indicators and continuous update of the introduced indicators.
        • Link energy indicator framework to sustainable development in Yemen
        • Link energy indicators to energy demand forecast; hence help develop country energy strategy.

    Notes

    1GDP constant Price 1990 

    Acknowledgement

    The Author would like to express his deep gratitude to Plan-Blue of France for its financial and technical support. Special thanks for RCREEE, Alcor and all Yemeni concerned entities for their help and cooperation with the Author.

    References

      References

      1. Missaoui, R, Hassine, HB and Mourtada, A Energy efficiency indicators in the Southern and Eastern Mediterranean countries2012 

      2. Integrating environment and development in decision-making1996 

      3. Vera, I and Langlois, L Energy indicators for sustainable developmentEnergy2007326875882https://doi.org/10.1016/j.energy.2006.08.006 

      4. Energy indicators for sustainable development: guidelines and methodologies2005 

      5. Kemmler, A and Spren, D Energy indicators for tracking sustainability in developing countriesEnergy Policy200735424662480https://doi.org/10.1016/j.enpol.2006.09.006 

      6. Energy Efficiency Indicators: Fundamentals on Statistics2014 

      7. Central Organization of Statistics (2003–2009) Yearly statistical books. Central Organization Statistics, Sana’a 

      8. International Monitory Fund (IMF). World Economic Outlook Database [online]. International Monitory Fund (IMF). 2009. Available at http://www.imf.org/external/pubs/ft/weo/2009/02/weodata/download.aspx. Accessed 24 May 2015. 

      9. Lahmyer Group. Renewable energy resource assessment and renewable energy opportunities. Lahmyer Group; 2006. 

      10. Annual Reports2009Sana’aMinistry of Agriculture 

      11. Annual Reports2009Sana’aMinistry of Fishing 

      12. Records of Traffic Department2009Sana’aMinistry of Interior 

      13. Annual reports2013Sana’aMinistry of Oil and Minerals 

      14. Records of Public Electricity Corporation2009Sana’aPEC 

      15. Annual report2009Sana’aYemen Cement Corporation 

      16. World Bank. Household energy supply and use in Yemen. World Bank; 2009. 

    Appendix

    Indicator calculation

    Table 10

    Macro-level indicator

    No Indicator Unit Formula
    1 Energy dependence Ratio % Gross Energy Production in/Primary energy consumption
    2 Intensity of Primary Energy Toe/YR Primary energy consumption/GDP at constant price
    3 Intensity of Final Energy Toe/YR Final energy consumption/GDP at constant price
    4 Average emission factor Te/Toe Energy sector CO2 emissions/Primary energy consumption
    5 Intensity of CO2 Te/YR Energy sector CO2 emissions/GDP at constant price

    Table 11

    Transformation sector

    No Unit Formula
    1 Usage rate of the installed power generation capacity % Total generated electricity/Total installed generation capacity
    2 Apparent Efficiency of Energy Transformation Sector % Transformation Sector Energy Output Transformation Sector Energy Input
    3 Transmission and Distribution Electricity system Efficiency % Total Electricity Output of the Transmission and Distribution System/Total Electricity Input to the Transmission and Distribution System
    4 Power Generation Emission Factor Te/GW Electricity sector emissions/Total generated electricity
    5 Electricity Sector Emission Factor Te/GW Electricity sector emissions/Total Electricity Output of the Transmission and Distribution System

    Table 12

    Industrial sector

    No Unit Formula
    1 Final Energy Intensity of transport sector Toe/YR Final Energy Consumption of Transport Sector/GDP at constant price
    2 CO2 intensity of transport sector teCO2/YR Transport sector emissions/GDP at constant price

    Table 13

    Agriculture and fishing sector indicators

    No Unit Formula
    1 Final Energy Intensity of agriculture Toe/YR Final Energy Consumption of Agriculture sector/Added Value of agriculture sector at constant price
    2 Final Energy Intensity of fishing Toe /YR Final Energy Consumption of fishing sector/Added Value of fishing at constant price

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