This research work is directed to analyze the level of energy poverty and its consequences on the quality of life of the population of the Colombian Caribbean region, by doing a comparison of the results obtained in that area with data regarding the population of Bogotá, capital of Colombia, and of the rest of the country. The method of meeting absolute energy needs was used to determine the energy poverty index at households (EPH). Results obtained indicate that EPH exceeds 60% in urban areas, and 96% in rural zones, where it was also evidenced a clear link between energy poverty and school dropout.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
HOW THE GOVERNMENT OF BRAZIL CAN MAKE THE ENERGY SECTOR SUSTAINABLE.pdfFaga1939
This article aims to demonstrate how the government of Brazil can make the energy sector sustainable in order to collaborate in the fight against global warming and to bequeath the existing energy resources in the country to future generations. According to the International Energy Agency, oil, natural gas and coal are the energy sources most responsible for the emission of greenhouse gases in the atmosphere. In the world, the use and production of energy are responsible for 57% of the emission of greenhouse gases in the atmosphere. In Brazil, the energy sector is responsible for 21% of greenhouse gas emissions. The electricity sector in Brazil has 19.7% of energy sources based on fossil fuels (natural gas, petroleum derivatives and coal and derivatives) and 2.2% of energy sources based on nuclear power plants. In turn, Brazil's energy matrix as a whole has 53.3% of energy sources based on fossil fuels (oil and derivatives, natural gas and mineral coal) and 1.3% are energy sources based on nuclear power plants. For Brazil's energy sector to be sustainable, all these energy sources based on fossil fuels and nuclear power plants must be replaced by renewable energy sources (hydro, solar, wind, tidal, wave, biomass and hydrogen).
Coupling Universal Energy Access with Financial Sustainability: the Case of L...Jacopo Pendezza
Modern energy access is an essential precondition for economic development. It is essential for poverty reduction, improvement of human health, women’s empowerment, education. With access to reliable and affordable energy services, local entrepreneurs and companies of any size can generate local jobs, income and, thereby, promote local development, in particular in rural and peri- urban areas. The major barriers toward improving rural electricity connectivity in Africa include: absence of national grid in large part of the country, high cost of delivering electricity to rural areas, high upfront investment costs; scattered settlements in the rural areas leading to long and costly distribution lines. Other challenges are harsh terrains and inaccessibility due to underdeveloped infrastructure leading to high cost of rural electrification projects; high operating costs of grids in rural areas due to low population density.
For these reasons, several experts suggest that the extension of the main grid is not the most economical viable solution to grant energy access to rural communities. In most of the case, and especially in Tanzania, the best option is the realization of renewable source powered mini-grid (both grid-connected and off-grid). This option, if carefully analyzed, allows to reach more and more rural clients and at the same time to increase the share of renewable energy production.
Experience, however, has shown that it is not enough to simply create a new mini-grid and hope for local economic activities to pick up just by themselves. Countless electrification projects have suffered from a low demand response from the commercial sector that ended up affecting plans and expectations. This usually determines two significant consequences: First, the hoped-for impact of electrification programmes on the development of local communities often struggles to materialize. Secondly, the electrification schemes suffer from a lack of new customers able to pay for their electricity connection and use the new availability of electricity for productive purposes. Such developments have undermined the entire economic viability, and thus sustainability, of many electrification programs in developing countries. This paper explores the concrete steps to be put in place in order to increase the financial sustainability of a mini-grid, in order to couple universal access to modern energy services with sound financial sustainability of the systems providing electricity. To show that, it will take in account a feasibility study that CEFA is doing the Luganga site, Tanzania.
Investigating the residential electricity consumption-income nexus in Morocc...IJECEIAES
In a comprehensive LMDI-STIRPAT-ARDL framework, this research investigates the residential electricity consumption (REC)-income nexus in Morocco for the period 1990 to 2018. The logarithmic mean Divisia index (LMDI) results show that economic activity and electricity intensity are the leading drivers of Morocco’s REC, followed by population and residential structure. And then, the LMDI analysis was combined with stochastic impacts by regression on population, affluence, and technology (STIRPAT) analysis and the bounds testing approach to search for a long-run equilibrium relationship. The empirical results show that REC, economic growth, urbanization, and electricity intensity are cointegrated. The results further show that there exists a U-shaped relationship between per capita gross domestic product (GDP) and REC: an increase in per capita GDP reduces REC initially; but, after reaching a turning point (the GDPPC level of 17,145.22 Dh), further increases in per capita GDP increase REC. Regarding urbanization, the results reveal that it has no significant impact on Morocco’s REC. The stability parameters of the short and long-term coefficients of residential electricity demand function are tested. The results of these tests showed a stable pattern. Finally, based on the findings mentioned above, policy implications for guiding the country's development and electricity planning under energy and environmental constraints are given.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
HOW THE GOVERNMENT OF BRAZIL CAN MAKE THE ENERGY SECTOR SUSTAINABLE.pdfFaga1939
This article aims to demonstrate how the government of Brazil can make the energy sector sustainable in order to collaborate in the fight against global warming and to bequeath the existing energy resources in the country to future generations. According to the International Energy Agency, oil, natural gas and coal are the energy sources most responsible for the emission of greenhouse gases in the atmosphere. In the world, the use and production of energy are responsible for 57% of the emission of greenhouse gases in the atmosphere. In Brazil, the energy sector is responsible for 21% of greenhouse gas emissions. The electricity sector in Brazil has 19.7% of energy sources based on fossil fuels (natural gas, petroleum derivatives and coal and derivatives) and 2.2% of energy sources based on nuclear power plants. In turn, Brazil's energy matrix as a whole has 53.3% of energy sources based on fossil fuels (oil and derivatives, natural gas and mineral coal) and 1.3% are energy sources based on nuclear power plants. For Brazil's energy sector to be sustainable, all these energy sources based on fossil fuels and nuclear power plants must be replaced by renewable energy sources (hydro, solar, wind, tidal, wave, biomass and hydrogen).
Coupling Universal Energy Access with Financial Sustainability: the Case of L...Jacopo Pendezza
Modern energy access is an essential precondition for economic development. It is essential for poverty reduction, improvement of human health, women’s empowerment, education. With access to reliable and affordable energy services, local entrepreneurs and companies of any size can generate local jobs, income and, thereby, promote local development, in particular in rural and peri- urban areas. The major barriers toward improving rural electricity connectivity in Africa include: absence of national grid in large part of the country, high cost of delivering electricity to rural areas, high upfront investment costs; scattered settlements in the rural areas leading to long and costly distribution lines. Other challenges are harsh terrains and inaccessibility due to underdeveloped infrastructure leading to high cost of rural electrification projects; high operating costs of grids in rural areas due to low population density.
For these reasons, several experts suggest that the extension of the main grid is not the most economical viable solution to grant energy access to rural communities. In most of the case, and especially in Tanzania, the best option is the realization of renewable source powered mini-grid (both grid-connected and off-grid). This option, if carefully analyzed, allows to reach more and more rural clients and at the same time to increase the share of renewable energy production.
Experience, however, has shown that it is not enough to simply create a new mini-grid and hope for local economic activities to pick up just by themselves. Countless electrification projects have suffered from a low demand response from the commercial sector that ended up affecting plans and expectations. This usually determines two significant consequences: First, the hoped-for impact of electrification programmes on the development of local communities often struggles to materialize. Secondly, the electrification schemes suffer from a lack of new customers able to pay for their electricity connection and use the new availability of electricity for productive purposes. Such developments have undermined the entire economic viability, and thus sustainability, of many electrification programs in developing countries. This paper explores the concrete steps to be put in place in order to increase the financial sustainability of a mini-grid, in order to couple universal access to modern energy services with sound financial sustainability of the systems providing electricity. To show that, it will take in account a feasibility study that CEFA is doing the Luganga site, Tanzania.
Investigating the residential electricity consumption-income nexus in Morocc...IJECEIAES
In a comprehensive LMDI-STIRPAT-ARDL framework, this research investigates the residential electricity consumption (REC)-income nexus in Morocco for the period 1990 to 2018. The logarithmic mean Divisia index (LMDI) results show that economic activity and electricity intensity are the leading drivers of Morocco’s REC, followed by population and residential structure. And then, the LMDI analysis was combined with stochastic impacts by regression on population, affluence, and technology (STIRPAT) analysis and the bounds testing approach to search for a long-run equilibrium relationship. The empirical results show that REC, economic growth, urbanization, and electricity intensity are cointegrated. The results further show that there exists a U-shaped relationship between per capita gross domestic product (GDP) and REC: an increase in per capita GDP reduces REC initially; but, after reaching a turning point (the GDPPC level of 17,145.22 Dh), further increases in per capita GDP increase REC. Regarding urbanization, the results reveal that it has no significant impact on Morocco’s REC. The stability parameters of the short and long-term coefficients of residential electricity demand function are tested. The results of these tests showed a stable pattern. Finally, based on the findings mentioned above, policy implications for guiding the country's development and electricity planning under energy and environmental constraints are given.
Assessment of Energy Losses and Cost Implications in the Nigerian Distributio...Dr. Hachimenum Amadi
Energy shortages is the major challenge facing the industrial sector in Nigeria. This paper assessed the energy shortages due to technical losses in the Nigerian distribution network and the cost implications. The study was carried out based on network data collected over the period 2011-2015 from three electricity distribution companies (DisCos) drawn from the three major industrial cities of Nigeria. These data were simulated on the Electrical Transient Analysis program (ETAP) Version 12.6. The calculated energy losses for these cities for the said period are 108,959.87 MWH, 149,256 MWH and 72,743.08 MWH respectively. The corresponding revenue losses are N2,434,164,012, N3,538,754,758.8 and N1,699,751,530.1 respectively. The paper suggested remedial measures to reduce energy losses, mitigate losses arising from unannounced electricity cuts as well as achieve a more efficient and reliable electricity distribution network. The outcome of this research provides a data bank for policy makers and future researchers in the areas of electricity generation, transmission and distribution.
Analysis of Households’ Electricity Consumption with Ordered Logit Models: Ex...inventionjournals
Percentage of households’ electricity demand in total energy demand of households is increasing day by day. However, households’ electricity consumption fails to provide the added value to Gross National Product unlike industry sector. Therefore, the factors that increase the energy consumption of households should be analyzed and in this respect, required energy saving policies should be generated. In this paper, the ordered logit models examined the variables affecting the electricity consumption of households in Turkey. According to goodness of fit indicators, Partial Proportional Odds Model was determined as the best model that fits into our dataset. The results obtained from model show that electrically powered items and their quantities, household size, income, housing type and properties are important factors that increase households’ electricity consumption.
Before we kick-off a new line-up of insightful studies and conversations on energy this 2021, we take a snapshot of the previous working papers which were featured last year.
These studies were produced under the Access to Sustainable Energy Programme-Clean Energy Living Laboratories (ASEP-CELLs) project implemented by the Ateneo School of Government (ASOG), and funded by the European Union.
To receive updates on our latest events and publications, please subscribe to our mailing list through this link: http://bit.ly/ASEPCELLsMailingList
A Field Survey Based Study of Household Energy Use Patterns in Tertiary Insti...ijtsrd
The availability of energy sources, particularly electricity, is a basic requirement for living standards. The efficiency with which households use energy is critical not just for improving individual living conditions, but also for a countrys economic growth. There is a considerable imbalance between electricity demand and generation in Nigeria. The purpose of this survey is to investigate the energy related perceptions and awareness of household consumers in Ihiagwa and Nekede communities, and, to determine the level of alignment of this awareness with their actual preferences and behavior to derive insights for environmental and energy policy planning and management. We have collected the data in the form of questionnaires related, to personal profiles, behavior, and attitudes in the use of energy and electricity in 676 households in Nekede and Iheagwa. By analyzing the data, it was found that the Households 82.0 prefer electricity to other forms of energy. A large percentage of people 67.1 believed that their electric bill was causing them financial difficulties, and 80.2 had made efforts to reduce their electricity bill. Furthermore, the results suggest an attitude behavior gap in terms of energy sources and purpose of usage. Commercial energy is used and petroleum sources come as a stand in alternative source. The household features and average energy cost was correlated. The results show that ownership of the building factor had a statistically insignificant coefficient, a p value of 0.5586, income relationship with energy cost was a significant factor p value of 0.0009, and the number of family members and energy cost had a p value of 0.0004 respectively. The findings of this survey should be useful for future planning of household energy management in Imo State and Nigeria by extension. These would aid in the development of the national energy strategy plan, as well as in understanding current energy use and availability conditions. Obasi Ibe B. | Opabisi Adeyinka K | Agbakwuru Bruno C. "A Field Survey-Based Study of Household Energy-Use Patterns in Tertiary Institutions Communities in Imo State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd57479.pdf Paper URL: https://www.ijtsrd.com.com/other-scientific-research-area/other/57479/a-field-surveybased-study-of-household-energyuse-patterns-in-tertiary-institutions-communities-in-imo-state/obasi-ibe-b
Cost implications analysis of grid supplied electricity and solar source of e...TELKOMNIKA JOURNAL
Energy is a key component in the overall growth of every nation. Insufficient energy delivery hinders political growth, restricts social growth, limits economic growth, and negatively affects the standard of living of citizens, bothin urban and rural areas. Sufficient energy delivery increases food production, improves the standards of living of citizens, improves healthcare and enhancements in other human services, enhances industrial output, provides effective and efficient transportation not forgetting adequate shelter to the citizens of the nation. Currently, there is a significant level of deficiency in Nigeria’s energy sector. This study seeks to address this issue by analysing cost implications of conventional energy source and solar energy source. This study brings to focus the payback period of a solar powered home and the return on investment that might accrue during this time to the residential home owners. Furthermore, the best cost-effective load sharing option for residential owners considering two energy sources is also obtained.
Local development applied to the energy scheme using the geographic informat...IJECEIAES
The availability of endogenous energy resources in the province of Manabí can play an important role in achieving a diverse and sustainable territorial energy matrix. This research work shows the results of the project called geographic information system for sustainable development through the use of renewable energy sources. For the management of the project database, the geographic information system was used, and the information analysis took into account the works published in the main international databases on the use of renewable sources, planning energy, decision-making, and local development. The work allows revealing the energy potential that the territory of Manabí has in terms of the availability of renewable energy sources using the geographic information system, which can help in the decision-making process that contributes to the achievement of a diverse and sustainable territorial energy matrix.
Application of the ELECTRE III Method at the Moroccan Rural Electrification P...IJECEIAES
As part of the integrated strategy of the Moroccan state aimed at the social and economic development of the Moroccan rural community, an electrification program has been in place since the 90s. This program, called PEGR, has for main objective the improvement of the electrification rate for the national rural world. Given the large number of villages to be electrified and the colossal budget that will induce, several criteria have been retained to objectively distinguish the villages with the highest priority for electrification. Given the nature of this problem to be solved, which is a multicriteria decision aid problem, we propose in this article to use the multicriteria aggregation method ELECTRE III to rank the villages from the highest priority to the lowest priority for the electrification.
Promoting Massive Renewable Energy (RE) Projects
towards achieving Sustainable Development in Nigeria
Taiwo Benjamin
Carleton University, Canada
Presented at #naee2015
Electricity generation in South Africa is changing, but whether the electricity grid will be able to adapt to these changes is uncertain. This paper presents an alternative frame for the current electricity challenges by focusing on the electricity grid. Using the International Futures forecasting model, the African Futures Project has built three scenarios to 2050 to inform policymakers of the long-term implications of grid decisions. With coordinated planning, improved operational strategies and coherent policies, renewable energy can contribute significantly to the energy mix by 2050, help increase economic growth and benefit all South Africans. These interventions, however, will only be successful if there is a clear plan for the structure of the electricity sector.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
More Related Content
Similar to Measurement of energy poverty in the Colombian Caribbean region: a comparative analysis
Assessment of Energy Losses and Cost Implications in the Nigerian Distributio...Dr. Hachimenum Amadi
Energy shortages is the major challenge facing the industrial sector in Nigeria. This paper assessed the energy shortages due to technical losses in the Nigerian distribution network and the cost implications. The study was carried out based on network data collected over the period 2011-2015 from three electricity distribution companies (DisCos) drawn from the three major industrial cities of Nigeria. These data were simulated on the Electrical Transient Analysis program (ETAP) Version 12.6. The calculated energy losses for these cities for the said period are 108,959.87 MWH, 149,256 MWH and 72,743.08 MWH respectively. The corresponding revenue losses are N2,434,164,012, N3,538,754,758.8 and N1,699,751,530.1 respectively. The paper suggested remedial measures to reduce energy losses, mitigate losses arising from unannounced electricity cuts as well as achieve a more efficient and reliable electricity distribution network. The outcome of this research provides a data bank for policy makers and future researchers in the areas of electricity generation, transmission and distribution.
Analysis of Households’ Electricity Consumption with Ordered Logit Models: Ex...inventionjournals
Percentage of households’ electricity demand in total energy demand of households is increasing day by day. However, households’ electricity consumption fails to provide the added value to Gross National Product unlike industry sector. Therefore, the factors that increase the energy consumption of households should be analyzed and in this respect, required energy saving policies should be generated. In this paper, the ordered logit models examined the variables affecting the electricity consumption of households in Turkey. According to goodness of fit indicators, Partial Proportional Odds Model was determined as the best model that fits into our dataset. The results obtained from model show that electrically powered items and their quantities, household size, income, housing type and properties are important factors that increase households’ electricity consumption.
Before we kick-off a new line-up of insightful studies and conversations on energy this 2021, we take a snapshot of the previous working papers which were featured last year.
These studies were produced under the Access to Sustainable Energy Programme-Clean Energy Living Laboratories (ASEP-CELLs) project implemented by the Ateneo School of Government (ASOG), and funded by the European Union.
To receive updates on our latest events and publications, please subscribe to our mailing list through this link: http://bit.ly/ASEPCELLsMailingList
A Field Survey Based Study of Household Energy Use Patterns in Tertiary Insti...ijtsrd
The availability of energy sources, particularly electricity, is a basic requirement for living standards. The efficiency with which households use energy is critical not just for improving individual living conditions, but also for a countrys economic growth. There is a considerable imbalance between electricity demand and generation in Nigeria. The purpose of this survey is to investigate the energy related perceptions and awareness of household consumers in Ihiagwa and Nekede communities, and, to determine the level of alignment of this awareness with their actual preferences and behavior to derive insights for environmental and energy policy planning and management. We have collected the data in the form of questionnaires related, to personal profiles, behavior, and attitudes in the use of energy and electricity in 676 households in Nekede and Iheagwa. By analyzing the data, it was found that the Households 82.0 prefer electricity to other forms of energy. A large percentage of people 67.1 believed that their electric bill was causing them financial difficulties, and 80.2 had made efforts to reduce their electricity bill. Furthermore, the results suggest an attitude behavior gap in terms of energy sources and purpose of usage. Commercial energy is used and petroleum sources come as a stand in alternative source. The household features and average energy cost was correlated. The results show that ownership of the building factor had a statistically insignificant coefficient, a p value of 0.5586, income relationship with energy cost was a significant factor p value of 0.0009, and the number of family members and energy cost had a p value of 0.0004 respectively. The findings of this survey should be useful for future planning of household energy management in Imo State and Nigeria by extension. These would aid in the development of the national energy strategy plan, as well as in understanding current energy use and availability conditions. Obasi Ibe B. | Opabisi Adeyinka K | Agbakwuru Bruno C. "A Field Survey-Based Study of Household Energy-Use Patterns in Tertiary Institutions Communities in Imo State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd57479.pdf Paper URL: https://www.ijtsrd.com.com/other-scientific-research-area/other/57479/a-field-surveybased-study-of-household-energyuse-patterns-in-tertiary-institutions-communities-in-imo-state/obasi-ibe-b
Cost implications analysis of grid supplied electricity and solar source of e...TELKOMNIKA JOURNAL
Energy is a key component in the overall growth of every nation. Insufficient energy delivery hinders political growth, restricts social growth, limits economic growth, and negatively affects the standard of living of citizens, bothin urban and rural areas. Sufficient energy delivery increases food production, improves the standards of living of citizens, improves healthcare and enhancements in other human services, enhances industrial output, provides effective and efficient transportation not forgetting adequate shelter to the citizens of the nation. Currently, there is a significant level of deficiency in Nigeria’s energy sector. This study seeks to address this issue by analysing cost implications of conventional energy source and solar energy source. This study brings to focus the payback period of a solar powered home and the return on investment that might accrue during this time to the residential home owners. Furthermore, the best cost-effective load sharing option for residential owners considering two energy sources is also obtained.
Local development applied to the energy scheme using the geographic informat...IJECEIAES
The availability of endogenous energy resources in the province of Manabí can play an important role in achieving a diverse and sustainable territorial energy matrix. This research work shows the results of the project called geographic information system for sustainable development through the use of renewable energy sources. For the management of the project database, the geographic information system was used, and the information analysis took into account the works published in the main international databases on the use of renewable sources, planning energy, decision-making, and local development. The work allows revealing the energy potential that the territory of Manabí has in terms of the availability of renewable energy sources using the geographic information system, which can help in the decision-making process that contributes to the achievement of a diverse and sustainable territorial energy matrix.
Application of the ELECTRE III Method at the Moroccan Rural Electrification P...IJECEIAES
As part of the integrated strategy of the Moroccan state aimed at the social and economic development of the Moroccan rural community, an electrification program has been in place since the 90s. This program, called PEGR, has for main objective the improvement of the electrification rate for the national rural world. Given the large number of villages to be electrified and the colossal budget that will induce, several criteria have been retained to objectively distinguish the villages with the highest priority for electrification. Given the nature of this problem to be solved, which is a multicriteria decision aid problem, we propose in this article to use the multicriteria aggregation method ELECTRE III to rank the villages from the highest priority to the lowest priority for the electrification.
Promoting Massive Renewable Energy (RE) Projects
towards achieving Sustainable Development in Nigeria
Taiwo Benjamin
Carleton University, Canada
Presented at #naee2015
Electricity generation in South Africa is changing, but whether the electricity grid will be able to adapt to these changes is uncertain. This paper presents an alternative frame for the current electricity challenges by focusing on the electricity grid. Using the International Futures forecasting model, the African Futures Project has built three scenarios to 2050 to inform policymakers of the long-term implications of grid decisions. With coordinated planning, improved operational strategies and coherent policies, renewable energy can contribute significantly to the energy mix by 2050, help increase economic growth and benefit all South Africans. These interventions, however, will only be successful if there is a clear plan for the structure of the electricity sector.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Similar to Measurement of energy poverty in the Colombian Caribbean region: a comparative analysis (20)
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
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and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
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Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
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Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
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NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
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Measurement of energy poverty in the Colombian Caribbean region: a comparative analysis
1. International Journal of Electrical and Computer Engineering (IJECE)
Vol. 13, No. 6, December 2023, pp. 6016~6024
ISSN: 2088-8708, DOI: 10.11591/ijece.v13i6.pp6016-6024 6016
Journal homepage: http://ijece.iaescore.com
Measurement of energy poverty in the Colombian Caribbean
region: a comparative analysis
Etna Bayona-Velásquez1
, José Ricardo Nuñez-Alvarez2
, Ana Pirela-Ríos3
, Ever Marín-Giraldo1
1
Faculty of Business and Economic Sciences, Universidad del Magdalena, Santa Marta, Colombia
2
Department of Energy, Faculty of Engineering, Universidad de la Costa, Barranquilla, Colombia
3
Department of Economics, Universidad EAFIT, Medellín, Colombia
Article Info ABSTRACT
Article history:
Received Sep 24, 2022
Revised Apr 5, 2023
Accepted Apr 14, 2023
This research work is directed to analyze the level of energy poverty and its
consequences on the quality of life of the population of the Colombian
Caribbean region, by doing a comparison of the results obtained in that area
with data regarding the population of Bogotá, capital of Colombia, and of
the rest of the country. The method of meeting absolute energy needs was
used to determine the energy poverty index at households (EPH). Results
obtained indicate that EPH exceeds 60% in urban areas, and 96% in rural
zones, where it was also evidenced a clear link between energy poverty and
school dropout.
Keywords:
Energy poverty
Energy service
Fuel poverty
Household expenses
Multidimensional poverty This is an open access article under the CC BY-SA license.
Corresponding Author:
José Ricardo Nuñez-Alvarez
Department of Energy, Faculty of Engineering, Universidad de la Costa
Calle 58 No 55-66. Código Postal: 080002, Barranquilla, Atlántico, Colombia
Email: jnunez22@cuc.edu.co
1. INTRODUCTION
Lack of access and low quality of electrical energy supplied to a home to cover the basic needs of its
occupants constitute a dimension of energy poverty, including indicators like coverage of electricity, cost of
such energy, and possession of economic goods related to the final use of electricity [1]–[3]. The concept of
energy poverty emerged in the United Kingdom during the 1980s, taking into account the inhabitants´
difficulties in keeping adequate heating in their homes during the winter, seasons in which the number of
people affected by respiratory diseases increases [4], [5]. In 1991, Boardman stated that a household faces an
energy poverty situation when the cost of paying energy bills exceeds 10% of the family income [6].
Therefore, energy-poor families are increasingly vulnerable, since people's quality of life is affected when
they are forced to reduce their energy consumption [7].
In [8], it is stated that a household presents energy poverty when the sum of the total income of its
inhabitants is below 60% of the national average income, and the necessary expenses to achieve thermal
comfort are above the average level. In this way, energy poverty is defined as “Inability of a household to
meet the cost of its basic energy needs” [4]. Furthermore, energy poverty varies according to a country’s
level of development and geographical location. In developed countries, with high percentage of families
having access to electrical energy, this indicator focuses on the inability to keep thermal comfort at
household, while in developing countries that indicator is focused on the lack of connection to the electricity
service.
2. Int J Elec & Comp Eng ISSN: 2088-8708
Measurement of energy poverty in the Colombian Caribbean region … (Etna Bayona-Velásquez)
6017
Currently, 1,300 million people do not have access to electricity at their homes [4]. Consequently,
measuring energy poverty is essential for formulating and implementing governmental policies for social and
economic development. However, in Colombia, there is no statistical information on the subject, for that
reason, this study focuses on analyzing the level of energy poverty and its consequences on the quality of life
of the urban and rural population in the Caribbean region. Data from that region and from the rest of the
country are compared with the aim of analyzing energy poverty behavior in Colombia. Results obtained can
be used by decision-makers for them to have enough elements to develop plans and strategies directed to
reduce and eliminate energy poverty [9], [10].
Electric power improves the inhabitants' quality of life by facilitating access to education, health,
drinking water, and to many other benefits. Furthermore, the physical connection only to the electricity grid
is not enough, since electricity must be affordable, efficient, reliable, and safe. On the other hand, an
expensive and low-quality electricity service encourages families to take measures that may affect their
health and well-being if using energy substitutes without fulfilling the minimum standards and necessary
requirements [11], [12].
Economic and social growth leads to increase energy consumption, and, as there is a close
relationship between poverty reduction and improvement in energy services [13], the link between electricity
consumption and economic growth is expanded to the human development index (HDI) and the gross
domestic product (GDP) per capita because these indicators are directly related to energy consumption. Over
time, the role of access to electricity in a nation’s development has started to be better understood. The
interest of governments to expand coverage to the most remote areas of their territories has increased and
given rise to international initiatives, such as “Sustainable energies for all,” designed by the United Nations
Organization, seeking to guarantee universal access to modern energies by 2030. In 2010, a European
Commission recognized that “…energy poverty, which can deprive households, not only of heating or
cooling, but also hot water, electricity, and other essential domestic needs, is another manifestation of severe
deprivation.”
The main obstacles for a country to have full coverage of the electricity system are not concentrated
in financing or designing the system itself, but in the absence of efficient institutions, government
transparency, and appropriate regulations [14], [15]. Governments often excessively focus on reducing
energy poverty by means of energy subsidies, instead of implementing improvements in the electrical
services efficiency, and energy consumption reductions, leading, consequently, to subsidy reduction
[16]–[18].
According to social priorities, energy scenarios of each territory help in the process of decision-
making regarding the transformation of the energy supply system based on sustainability and renewable
energy sources [14]. Nowadays, energy is regarded as a strategic problem [15], manage and supplied by
centralized management, where, neither the local endogenous potentialities are adequately appreciated, nor
the alternatives for taking advantage of the local energy resources, a situation mainly accentuated in the
poorest territories [16].
The present document is grouped into five sections. The first one consists of a literary review of
energy poverty, including its importance, and consequences for the population. The methodology used to
characterize the energy landscape and the measurement of energy poverty according to [19] is given in the
second section. The third one shows the results obtained with the methods used, while a discussion about the
implications of energy poverty in the population of the Caribbean region is given in the fourth section. At the
end, the conclusions are detailed taking into account the results obtained.
2. RESEARCH METHOD
The lack of reliable statistics necessary for developing indicators, actions, and plans to reduce
energy poverty is one of the main obstacles to measuring this important index since those indicators
constitute tools for communicating and understanding energy problems, as well as for allowing institutions to
develop necessary policies to solve and reverse the situation [1], [20]. In Colombia, the quality of the
electricity supply is quantified by the system of average interruption frequency index (SAIFI) and system of
average interruption duration index (SAIDI), which allow calculating the average frequency and duration of
interruptions that users have in each period [21]. Analysis of the percentage of income households dedicated
to paying energy bills is in correspondence to the approach of [6]. In general, prospects for improving and
supplying energy to the different departments of the Caribbean region are not good, mainly because of no
public policies to help in solving this situation. Additionally, families must allocate a high percentage of their
income to pay energy bills in those departments, no matter having few electrical appliances to meet their
basic needs [22], [23].
In the region under study, the energy poverty index at household (EPH) was calculated using
expression (1). Obtained from the method to meet energy needs described in [19].
3. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 13, No. 6, December 2023: 6016-6024
6018
EPH=
1
n
∑ BEi
n
i=1 < 1 (1)
where EPH is energy poverty index at household, Bei is economic good i, and n is number of economic
goods.
According to [19], the EPH index will be less than 100% when a household lacks some essential
economic goods to satisfy its absolute energy needs. The number of goods (n) will change in relation to
the geographical region where the household is located, so value n in the equation will vary in every
locality where that index is applied. Figures for electricity coverage and possession of economic goods
were extracted from the great integrated household survey (GIHS) of the National Administrative
Department of Statistics (DANE) for 2018, reflecting the real situation of every department, whether in
urban or rural areas.
The SAIDI and SAIFI indexes were provided by the single information system of home public
services in September 2018. Data for analyzing income and expenses in energy bills were extracted from the
survey of monetary and multidimensional poverty in Colombia of the DANE for 2018, where the average per
capita income was determined not only in the capital but also in every department of the country. Figures
obtained were multiplied by the number of people living in a household, taking into account an average of
3.8 in the departments of the Caribbean region, 3.1 in Bogotá, and 3.3 in the rest of the country, resulting, in
this way, the average monthly income of the departments and the household members. The average monthly
income of families in the Caribbean region, Bogotá, and the rest of the country was determined by using the
income and expense approach [6]. Values of the average monthly bills for electricity service during 2018 are
shown in Table 1.
According to Table 1, the average value of the monthly income Colombians need for paying
electricity service bills is 5.2%, a proportion lower than the 10% threshold proposed in [6]. Households in
Bogotá have the lowest expenditure on electricity service bills in the country, with 2.3% of their income.
However, all departments of the Caribbean region, except the Atlantic, confront energy poverty since more
than 10% of the monthly income is spent on paying electricity bills, exceeding both, the Boardman limit, and
the national average.
Table 1. Comparing the average monthly income with the average monthly energy bill for electricity service
Department Average monthly
Income ($)
Average monthly
energy bill ($)
Monthly energy
expenditure (% of income)
Atlántico 2,216,308 185,205 8.4
Bolívar 1,690,856 167,255 10
Cesar 1,551,114 193,584 12.5
Córdoba 1,302,097 190,464 14.6
La Guajira 1,335,320 136,863 10.2
Magdalena 1,350,809 154,240 11.4
Sucre 1,396,819 149,189 10.7
Bogotá 3,263,035 74,531 2.3
National Average 2,061,827 108,292 5.2
3. RESULTS
According to figures from the GIHS, in 2018 the urban areas of Bogotá, the Caribbean region
departments, and all the others of the country, had 99.8% of electricity coverage, while in rural areas, the
behavior was completely different. In La Guajira, 44.6% of the rural population does not have an electrical
connection, while in Bolívar and Cesar, the coverage deficit at households reaches 18.8% and 26.6%,
respectively. Córdoba with 0.7%, Atlántico with 6.4%, and Sucre with 6.6% are the only departments in the
Caribbean Region below the national average of 6.8% as shown in Figure 1.
In the departments of the Caribbean region, 72.5 power outages were recorded, with a total duration
of 66.5 hours between January and September 2016 [21]. As shown in Figure 2, Córdoba is the department
with the most extended duration of electricity service interruptions, with 11.1 hours during September.
Negative behavior is also observed in Magdalena and Sucre when compared to the national average, with
9.7 and 8.7 hours, respectively, while lower values are reported in the other departments of the Caribbean
region.
Figure 3 shows that, following Córdoba, with 13.8 times electrical interruptions, Magdalena, with an
average of 11 times, is the second department with the highest frequency of interruptions. Sucre follows with
an average of 10.6 times, and Cesar with a value of 9.5. Electricity service interruptions in these four
departments are above the national average frequency of 9.19 times.
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Figure 1. Electricity coverage deficit in rural areas of departments of the Caribbean region compared to the
national average deficit
Figure 2. Duration of electricity service interruptions in the Caribbean region compared to the national
average
Figure 3. Frequency of electricity service interruptions in the Caribbean region compared to the national
average
3.1. Energy poverty index at household
Results of calculating the EPH index in 2018 in many urban areas of the departments of the
Caribbean region when compared to the national average are shown in Figure 4. More than 60% of
households in the Colombian Caribbean urban areas report energy poverty. Atlántico is the only department
having EPH values below the national average.
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Figure 5 shows the geographical distribution of the different departments of the Caribbean region and
the percentage of energy poverty in each department. Sucre has the most critical situation, with an EPH index of
81%. The Atlántico Department reports 64%, being the only one below the national average of 67.8%.
Figure 4. Energy poverty index at households (EPH) in urban areas of Bogotá and Caribbean region
compared to the national average
Figure 5. EPH index in urban areas of the Caribbean region
Regarding the EPH index in rural areas, the situation is really alarming in comparison with the
national average of 90.52%. Analysis showed that all departments of the Caribbean region report levels
above that number. The lowest EPH value (96%) is reported in the Atlántico Department, while Sucre
presents the highest value (98.5%) as shown in Figure 6.
Figure 7 shows that in all departments of the Caribbean region, the percentage of the EPH index is
high. Sucre has the most critical situation with an index of 98.54%. The Atlántico Department reports, no
matter high, the lowest EPH index (96.03%).
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Figure 6. EPH index in rural areas of the Caribbean region compared to the national average
Figure 7. Households in rural areas of the Caribbean region with energy poverty
3.2. Links between EPH and school dropout
A low index of energy poverty in households may lead to poor conditions for guaranteeing adequate
education, for example, low or poor lighting quality, thermal comfort, use of the computer, and different
technological devices, among others. For those reasons, it may be difficult to study, increasing the possibility
of school dropout [24], [25]. The DANE Formal Education Survey [26] recorded the number of students who
left school in both, urban and rural institutions, and from preschool to high school, Table 2. In general, the
dropout rate in rural areas exceeds that of urban areas, with departments of Sucre and Magdalena having the
highest school dropout rates in the Caribbean Region.
Using the data obtained, a linear regression was adjusted by ordinary least squares (OLS) between
the school dropout rate and the percentage of the population in energy poverty in rural areas of the Caribbean
departments. Table 3 shows the regression results, indicating that energy poverty significantly increases the
student dropout rate. Living in rural areas, although not statistically significant, has also influenced school
dropout.
The previous results correspond to studies [27]–[33], stating that access to an electrical service of
high quality, combined with possession of economic goods which satisfy basic needs, is essential to have
access to education, favoring the creation of a comfortable environment to improve academic performance
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and to reduce household expenses on inefficient fuels, in increasing, as a result, family possibilities to invest
in education for all its members, mainly for children and youngsters.
Table 2. The school dropout rate in urban and rural zones of departments of the Caribbean region and Bogotá
compared to the national average
Department
Urban Zone Rural Zone
School dropout rate (%) School dropout rate (%)
Atlántico 3.3 3.5
Bolívar 3.4 4.4
Cesar 3.0 4.0
Córdoba 3.7 3.9
La Guajira 3.6 3.3
Magdalena 3.2 4.5
Sucre 4.9 5.5
Bogotá 2.2 1.3
National Average 3.2 4.2
Table 3. Result of the simple linear regression between the school dropout rate and energy poverty in rural
zones
Coefficient Standard error p-value
EPH 0.034 0.007 0.001
Rural zone 0.014 0.362 0.778
4. DISCUSSION
The absence of electrical connection in 117,213 homes in the Caribbean region leads to energy
poverty and low quality of life since those families cannot meet their basic energy needs. When applying the
SAIDI and SAIFI indicators, results showed adverse effects on productivity and on the inhabitants’ quality of
life due to frequent and prolonged electricity interruptions, which affected, at the same time, many economic,
social, commercial, and industrial activities.
According to the approach of [4], the higher the percentage of income a family spends on electricity
bills, the more difficulties it will have to guarantee minimum comfort. At a national level, households in the
capital, having higher income levels, spend only 2.3% on electricity bills. In the Caribbean region, the
Atlántico Department presents the lowest bill spending, only 8.4%, and the highest income in the area, being
both above the national average. On the contrary, Córdoba and Magdalena's departments present the last
positions in terms of bill payment, having one of the highest levels of energy expenditure, with 14.6% and
11.4%, respectively.
The figures for possession of home appliances show gaps in the quality of life between urban and
rural families. While many families living in urban areas have adequate equipment for cooking and
refrigerating food, entertainment, thermal comfort, and access to ICTs, families living in rural areas have a
low percentage of devices and home appliances.
Rural households which cook with fuels derived from biomass and do not refrigerate their food are
more likely to suffer from diseases of the digestive and respiratory systems, caused by food decomposition
and the harmful gases emitted by burning those kinds of fuels. In 2016, respiratory tract infections were
among the ten main causes of death in urban and rural areas in Colombia, with 15.73 and 9.76 people per
100,000 inhabitants, respectively [27]. This type of risk to people in rural areas is in correspondence to a
higher EPH index, exceeding 96% in the Caribbean region, because of the lack of essential home appliances.
The Atlántico Department has the best situation in the Caribbean region, with a coverage deficit of
6.4%, rare electricity interruptions, and the highest percentage of households in urban and rural areas with
good means for cooking, entertainment, and thermal comfort, among others. Consequently, that department
reports the lowest urban and rural EPH indexes in the entire region, being below the national average in
urban areas, and the least number of students who dropped out of their studies in rural areas. In contrast, the
La Guajira department has the second-highest urban EPH in the region, with 79%, and 96.8% in rural zones.
Additionally, La Guajira presents the most significant school dropout in rural areas, with 5,489 cases in 2016.
5. CONCLUSION
The high levels of energy poverty in urban and rural areas of the Caribbean region represent an
obstacle to improving the inhabitants’ quality of life because their basic needs, such as food, health, education,
free time, and social activities are directly affected. Daily life is very difficult for people who do not have an
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electrical connection or have a low-quality service, apart from the negative effects on their income, personal and
family development, and the sustainable progress of the territory. A direct relationship between energy poverty
and school dropout is mainly due to the lack of minimum necessary conditions to encourage children and young
people to feel comfortable with their studies, favoring school dropout.
Results of this study show the existence of energy poverty in all departments of the Caribbean
region, having the most significant impact in the rural areas, where more than 96% of the households present
deprivation in their basic energy needs, exceeding the 90.7% of the national average, which is a high value.
Therefore, formulation and implementation of governmental policies and strategies in the Caribbean region
are essential to expand, access, coverage, and quality improvement of the electricity service. In that way, the
gap existing in the quality of life of inhabitants of the Colombian Caribbean region in relation to the
population of the rest of the country can be reduced.
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BIOGRAPHIES OF AUTHORS
Etna Bayona-Velásquez Doctor in Economics from the National Autonomous
University of Mexico-UNAM. Master’s in economics from the National University of
Colombia. Professor at the Department of Economics at the Universidad del Magdalena, Santa
Marta, Colombia. Junior researcher and evaluator recognized by the Ministry of Science,
Technology, and Innovation-Minciencias. She currently works as a full-time professor at the
Universidad del Magdalena, Faculty of Business and Economic Sciences, and a member of the
Analysis in Economic Sciences Research Group (GACE). Since 2021 she is the Director of
Research and Extension of the Faculty of Business and Economic Sciences. She can be
contacted by email: ebayona@unimagdalena.edu.co.
José Ricardo Núñez-Álvarez received a B.Eng. in Electrical Engineering from
the Universidad de Oriente, Santiago de Cuba, Cuba, in 1994 and an M.S. degree in Automatic
Engineering at the Universidad de Oriente, Santiago de Cuba, Cuba, in 2014. Currently, he is a
full-time professor of the Electrical Engineering Career attached to the Department of Energy
at the Universidad de la Costa (CUC), Barranquilla, Colombia. His research interests include
renewable energy, power quality, power generation, power grids, power supply quality, power
conversion, power transmission reliability, power system stability, power transmission lines,
power transmission planning, power transmission protection, load flow control, and protection
of electrical systems. He can be contacted by email: jnunez22@cuc.edu.co.
Ana Pirela-Ríos master’s in Economics from Universidad EAFIT, Medellín,
Colombia, and B.A. in Economics from Universidad del Magdalena, Santa Marta, Colombia.
She has experience in microdata processing, geospatial information, and data mining. She has
participated as a member in applied economics projects, particularly on issues related to
agriculture, the environment, conflict, and gender. She is currently a consultant at Universidad
EAFIT. She can be contacted by email: ampirelar@eafit.edu.co.
Ever Marín-Giraldo graduated as an Economist at the University of Magdalena,
Santa Marta Colombia. He has participated in research projects related to applied economics in
the industrial sector. He currently works as administrator of the Company Inversiones Paisas
S.A.S. He can be contacted by email: evermgir@gmail.com.