Medium-Term Electricity Demand Forecasting Model Divided by Sector in Vietnam Based on Electricity Saving Variables and Energy Efficiency Index DOI
Cao Xuan Thang,

Khai Phan Van,

Ngô Thị Thu Trang

et al.

Published: Nov. 13, 2023

The electricity sector is among the Vietnamese economy's significant and strategic. Prime Minister Directive for enhancing savings from 2020 through 2025 (Directive 20) seeks at least a 2% annual improvement in energy efficiency of total consumption. To achieve this goal, requests ministries, ministerial-level agencies, government People's Committees provinces central cities, enterprises, mass-social organizations to implement 5 following sources: offices, public lighting, advertising outdoor decoration, households, commercial service manufacturing enterprises. meet saving targets 5% office buildings, 20% advertisement, consumption per product unit by key users. Using Vietnam as case study, study aims provide index (ODEX) amount demand forecast models three major sectors during transition period. results forecasting model show that R-squared reaches 0.99 with high accuracy MAPE error 0.21%, 0.81%, 0.69% Industry Construction; Agriculture, Forestry Fishing; Trading Services, respectively.

Language: Английский

The research of the impact of energy efficiency on mitigating greenhouse gas emissions at the national level DOI

T. J. Pavel,

Samuseva Polina,

Nikolaychuk Liubov

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 314, P. 118671 - 118671

Published: June 22, 2024

Language: Английский

Citations

16
Assessing China's energy‐related efficiency towards SDG7 and influencing factors DOI Creative Commons
Lina Zhang, Sai Liu, Yung‐ho Chiu

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: May 13, 2024

Abstract With scholars paying increasing attention to energy sustainability, integrating sustainable utilization into the energy‐related assessment framework is particularly useful for achieving SDG7. This study empirically assesses efficiency ( EE ) comprised of utilize stage and in China using a dynamic two‐stage data envelopment analysis model, its influencing factors including digital economy with fixed‐effect models. The findings reveal slight downward trend from 2011 2020, primarily due poor performance stage. subregional illustrates that clean use (CEU) more beneficial than reducing carbon emissions (CER). Dagum Gini coefficients indicate growing disparity between regions. Additionally, “U‐shaped” relationship found, but two‐thirds provinces have not yet surpassed turning point. Moreover, different degrees CEU CER will influence impact on . Environmental regulations green technology innovation play positive moderating roles relationship. recommends stimulate through higher adoption sources reduction, as well highlight value economy.

Language: Английский

Citations

2
Improving energy-related efficiency towards SDG7 in China: What role does energy poverty play? DOI
Lina Zhang,

G Xiong,

Ruiqing Ni

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 369, P. 122289 - 122289

Published: Aug. 29, 2024

Language: Английский

Citations

2
Application of DEA Models to Develop Strategies for Improving the Energy Efficiency of National Economies: Focusing on SDGs and Best Practices in European Countries DOI
Bohdan Kyshakevych, Stepan Nastoshyn, Nataliia Maksyshko

et al.

Journal of Lifestyle and SDGs Review, Journal Year: 2024, Volume and Issue: 4(4), P. e02678 - e02678

Published: Oct. 17, 2024

Objective: This study aims to develop a strategy for improving the energy efficiency of national economies through application DEA (Data Envelopment Analysis) models. The research focuses on adopting best practices from European countries in context SDGs. Theoretical Framework: is grounded framework sustainable development and efficiency, focusing UN Sustainable Development Goals (SDG 12). models are utilized assess across various economies, considering economic, environmental, energy-related factors. Method: were applied by analyzing input variables such as intensity, CO₂ emissions, consumption. model used comparative analysis 38 countries, with special attention weights (λ) VRS model, allowing variable returns scale. data sourced Eurostat World Bank. Results Discussion: results indicated that like Ireland Albania serve key reference units Ukraine, highlighting effectiveness transitioning renewable sources reducing dependence fossil fuels. demonstrated inefficient could improve their performance following strategies units, specifically consumption emissions. Research Implications: provides practical insights into how less efficient can enhance policies successful nations, ultimately contributing global sustainability goals. Originality/Value: contributes literature offering structured methodology enhancing modeling. It emphasizes significance presents applicable broad range countries.

Language: Английский

Citations

2
Effects of Energy Economic Variables on the Economic Growth of the European Union (2010–2019) DOI Creative Commons
László Török

Energies, Journal Year: 2023, Volume and Issue: 16(16), P. 6094 - 6094

Published: Aug. 21, 2023

The economic downturn caused by the financial crisis of 2008–2009 and intensifying global climate policy trends forced changes in energy management European Union. study examined how most relevant variables affected growth E.U. between 2010–2019. used PSL-PM methodology to explore relationship G.D.P. (dependent variable) consumption, greenhouse gas emissions, average price, renewable use (independent variables). main findings are: is negatively correlated with CO2 showing that economy still highly dependent on fossil fuels; increase proportion consumption contributed E.U.’s G.D.P.; price are more critical member states a lower balance essential countries where emphasis placed replacing traditional sources reducing dependence; there strong positive correlation use, indicating this type effectively supports growth. results multicollinearity test show also linear dependence independent variables. One significances presented analyzed relationships them can contribute optimizing currently

Language: Английский

Citations

3
Asymmetric Effects of Energy Management Variables on the Economic Growth of the European Union (2010-2019) DOI Open Access
László Török

Published: June 9, 2023

The economic downturn caused by the financial crisis of 2008-2009 and intensifying glob-al climate policy trends forced changes in energy management European Union. study examined how most relevant variables affected growth EU between 2010-2019. relationship GDP (dependent variable) consumption, greenhouse gas emissions, average price, renewable use (independent variables) using PSL-PM methodology. results show an asymmetric picture because independent influenced eco-nomic period with different correlations strengths. One significances is that presented analyzed variables, as well relationships them, can contribute to optimization EU's currently critical growth.

Language: Английский

Citations

2
Evaluation of the Energy Efficiency Class of an Industrial Facility: A Rating System and a Scale of Sustainable Development DOI Open Access
Natalia Verstina, Natalia Solopova, Natalia Taskaeva

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(22), P. 15799 - 15799

Published: Nov. 9, 2023

This article examines the issues in assessment of energy efficiency industrial facilities, which have not yet been scientifically resolved, contrast to widely used approaches assessing residential buildings, are similar many countries world. The sequence study was determined combination with characteristics methods used, leading expert survey method. Based on analysis collected statistical information, significance indicators agreed upon and assessed for three groups: first—industrial building, second—technological processes, third—ensuring environmental friendliness an facility. weight each group also based survey. made it possible calculate specific weights formulate a rating scale. principle assigning points indicator is depending deviation actual values from standard quantitative according object qualitative indicators. result positioning classes scale within established boundaries experimental data.

Language: Английский

Citations

1
Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector DOI Open Access
Yingying Zhou, Ning Yang, Panpan Meng

et al.

Proceedings of Business and Economic Studies, Journal Year: 2023, Volume and Issue: 6(6), P. 24 - 29

Published: Dec. 22, 2023

The report from the 20th National Congress of China emphasizes importance focusing on clean, low-carbon, and efficient use energy, increasing financial support, promoting green upgrading within industrial sector. This paper, based annual data, employs entropy weight method to construct a comprehensive index reflecting impact in sectors. To delve deeper, it utilizes DEA model measure energy efficiency its subdivision BCC break down into technical scale efficiency. support landscape is examined vantage points both direct indirect financing. Using multivariate time series model, this paper thoroughly investigates influence findings reveal significant positive industries. Notably, emerges as primary driver Moreover, financing proves be more effective than empirical results retain their robustness even after substituting explanatory variables. study concludes by contextualizing research current real-world scenario, offering practical insights, proposing specific recommendations.

Language: Английский

Citations

0
Medium-Term Electricity Demand Forecasting Model Divided by Sector in Vietnam Based on Electricity Saving Variables and Energy Efficiency Index DOI
Cao Xuan Thang,

Khai Phan Van,

Ngô Thị Thu Trang

et al.

Published: Nov. 13, 2023

The electricity sector is among the Vietnamese economy's significant and strategic. Prime Minister Directive for enhancing savings from 2020 through 2025 (Directive 20) seeks at least a 2% annual improvement in energy efficiency of total consumption. To achieve this goal, requests ministries, ministerial-level agencies, government People's Committees provinces central cities, enterprises, mass-social organizations to implement 5 following sources: offices, public lighting, advertising outdoor decoration, households, commercial service manufacturing enterprises. meet saving targets 5% office buildings, 20% advertisement, consumption per product unit by key users. Using Vietnam as case study, study aims provide index (ODEX) amount demand forecast models three major sectors during transition period. results forecasting model show that R-squared reaches 0.99 with high accuracy MAPE error 0.21%, 0.81%, 0.69% Industry Construction; Agriculture, Forestry Fishing; Trading Services, respectively.

Language: Английский

Citations

0