Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach

Barros, Carlos Pestana; Dumbo, Silvestre; Manso, José Pires

doi:10.1016/j.rser.2017.04.100

Cited by 28 publications

(12 citation statements)

References 36 publications

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“…Design value of amount of electric power for traction in freight and passenger traffic in total without taking into account unbalance in the design period for the i-th variant of the schedule, thousand kW•h: (16) Design absolute value of unbalance related to freight and passenger traffic in the design period for the i-th variant of the schedule, thousand kW•h: (17) A comparison of the power consumption for the i-th variant of the schedule with another or basic variant allows determining the traffic schedule with the greatest energy efficiency. The effect is determined in absolute terms by the following expression, thousand kW•h: (18) The relative value of a change in the volume of electric power taking into account the unbalance in the design period relative to the base for the i-th variant of the schedule is determined by the expression,%: (19) The results of comparison of different variants of traffic schedules in the simulation modeling of power consumption processes for traction and the level of unbalance of electric power at the sections of DC and AC with different types of track profile show the influence on them of the parameters of the train schedule.…”

Section: Application Of the Resultsmentioning

confidence: 99%

Simulation of processes of electric power consumption for traction in conditions of changing the traffic schedule of freight trains at the electrified sections

2018

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The paper is devoted to the solution of the problem of increasing the energy efficiency of the transportation process on the electrified sections of the railways. The task is considered in the aspect of energy efficiency when comparing forecasted traffic schedules with each other and assessing the effectiveness of implementing the forecasted and executed schedule of train traffic at the section. The basis for the calculations is a simulation modeling of the interaction between the electric rolling stock and the traction power supply system at the sections with different track profiles. Simulation modeling was carried out for the conditions of changing the traffic schedule of freight trains and maintaining the amount of traffic and the amount of work unchanged. The results of the change in the amount of electric power for traction and the level of unbalance of energy for existing sections of constant and alternating current are used as the basis for construction of approximating models, in the function of which regression and neural network models are used. Comparison of the results of approximation of the considered models for the estimation of changes in amount of electric power for traction and unbalance is made. Models with the best results of approximation to simulation results are determined.

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Section: Application Of the Resultsmentioning

confidence: 99%

Simulation of processes of electric power consumption for traction in conditions of changing the traffic schedule of freight trains at the electrified sections

2018

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“…For example, Barros [24] applied DEA to measure and decompose the efficiency of EDP (Portugal Electricity Company) and its hydroelectric energy generating plants, showing that hydropower stations have improved in terms of technical efficiency and technological progress. Barros et al [25] employed the Virtual Frontier Dynamic Range Adjusted Model (VDRAM) DEA to evaluate the efficiency of Angolan hydropower plants. The study considered that efficiency analysis is important and can promote the level of energy utilization in order to achieve good management and sustainable development.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Compared to 2013, the technology gap ratio values and rankings of the eastern provinces in 2017 have decreased significantly. Among them, Hebei, Liaoning, Jiangsu, Zhejiang, and Hainan dropped 19,22,16,25, and 23 places, respectively, and efforts must thus be made to improve their efficiency and technology of hydropower generation. Compared with 2013, the rankings of provinces in the central region in 2017 are relatively stable, and the rankings of provinces in the western region have risen relatively.…”

Section: Technology Gap Ratio (Tgr) Scores and Ranks Of Thermal Powermentioning

confidence: 99%

Comparison and Optimization of energy efficiency between Hydropower and thermal power in China

Tian

Wang

Ren

2021

Preprint

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Background: As the two main forces of China’s power electricity, the energy generation efficiencies of thermal power and hydropower are important factors affecting the energy conservation, emissions reduction, and green development of the country’s whole power industry.Methods: Considering regional differences and multiple effective decision-making units, this research uses the Meta-SE-SBM undesirable model to comprehensively evaluate the efficiencies of hydropower and thermal power generation in China, taking CO2 emissions of thermal power generation as the undesirable output.Results: The average group efficiency of thermal power generation in the central region has greatly improved, the eastern and western regions also show an upward trend, but there is a slight downward trend for hydropower in the three regions. The hydropower technological gaps in the three regions have slightly expanded, but their thermal power technology gaps have gradually narrowed. From the perspective of input-output non-efficiency level, the undesirable output CO2 of thermal power energy efficiency in the eastern, central, and western regions is in a surplus, the redundancy of equipment utilization hours, energy input, and installed capacity in the western region are all high, but generation in the western region is insufficient, leading to relatively low efficiency of thermal power generation there. In the eastern region the redundancy of equipment utilization hours, number of employees, and installed capacity are all high, but the generation of hydropower in the eastern and central regions is insufficient, leading to relatively low hydropower efficiency in these two regions.Conclusions: When formulating policies to promote China’s power efficiency improvement and green development, the government and power industry managers should fully consider regional differences in the efficiencies of hydropower and thermal power. The thermal power industry is relatively mature, but its CO2 emissions should be reduced and the scale of thermal power cannot be blindly expanded. The hydropower industry needs further policy support to increase market share and to enhance the local power industry’s competitiveness under the condition of its resource endowments.

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“…DEA is an effective method to evaluate the industrial performance and unravel the mechanism of determinants, which can show how economic outputs are maximized in accordance with minimal resource inputs. This method has been widely used to evaluate the input–output efficiency of multiple sectors, including banking (Chang et al , 2019), electricity (Barros et al , 2017), agriculture (Geng et al , 2019a), manufacturing (Li and Lin, 2016), natural resources (Liu et al , 2019), infrastructure (Dong et al , 2018), tourism and hospitality (Ruan et al , 2019). In the construction domain, DEA has been conducted from environmental and economic perspectives.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network

Yuan

Tang

Hong

2020

ECAM

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PurposeThe objective of this study is to evaluate the overall technical efficiency, labor efficiency, capital efficiency and equipment efficiency of 30 Chinese construction sectors to foster sustainable economic growth in the construction industry.Design/methodology/approachThis study employed the super-efficiency data envelopment analysis (SE-DEA) and artificial neural network model (ANN) to evaluate the industrial performance and improvement potential of the Chinese regional construction sectors from 2000 to 2017.FindingsResults showed that the overall technical and capital efficiencies displayed relatively stable patterns. Equipment efficiency presented a relatively huge fluctuation during the sample period. Meanwhile, labor, capital and equipment efficiencies could potentially improve in the next five years. A spatial examination of efficiencies implied that the economic level was still a major factor in determining the efficiency performance of the regional construction industry. Beijing, Shanghai and Zhejiang were consistently the leading regions with the best performance in all efficiencies. Shandong and Hubei were critical regions with respect to their large reduction potential of labor, capital and equipment.Research limitations/implicationsThe study focused on the regional efficiency performance of the construction industry; however, it failed to further deeply discover the mechanism that captured the regional inefficiency. In addition, sample datasets used to predict might induce the accuracy of prediction results. Qualitative policy implications failed to regress the efficiency performance of the industrial policy variables. These limitations will be discussed in our further researches.Practical implicationsEnhancing the overall performance of the Chinese construction industry should focus on regions located in the western areas. In comparison with labor and capital efficiencies, equipment efficiency should be given priority by eliminating outdated equipment and developing high technology in the construction industry. In addition, the setting of the national reduction responsibility system should be stratified to account for regional variations.Originality/valueThe findings of this study can provide a systematic understanding for the current and future industry performance of the Chinese construction industry, which would help decision makers to customize appropriate strategies to improve the overall industrial performance with the consideration of regional differences.

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Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach

Cited by 28 publications

References 36 publications

Simulation of processes of electric power consumption for traction in conditions of changing the traffic schedule of freight trains at the electrified sections

Simulation of processes of electric power consumption for traction in conditions of changing the traffic schedule of freight trains at the electrified sections

Comparison and Optimization of energy efficiency between Hydropower and thermal power in China

Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network

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