Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis

Sözen, Adnan; Alp, İhsan; Kılınç, Cuma

doi:10.1016/j.renene.2012.03.021

Cited by 51 publications

(22 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Some years later, Sozen et al. () investigated both production and energy cost performances of the 10 hydropower plants operated by the state‐owned electricity generation company. The analysis was conducted using DEA for the periods 2007–2009.…”

Section: Literature Review On Performance Assessment Of Hydropower Plmentioning

confidence: 99%

The use of composite indicators to evaluate the performance of Brazilian hydropower plants

Calabria

Camanho

Zanella

2016

Int Trans Operational Res

View full text Add to dashboard Cite

This paper investigates the performance of the largest Brazilian hydropower plants. This study covers 78% of the total installed capacity from hydros in the country, and considers indicators reflecting operational and maintenance costs as well as quality of service. The assessment was conducted using a new approach for the construction of composite indicators, based on a directional distance function model. First, we assessed the hydropower plants allowing for complete flexibility in the definition of weights, enabling the identification of underperforming plants, and quantification of their potential for improvement. Next, we assessed the plants considering different perspectives regarding the importance attributed to each indicator. This allowed reflecting different points of view, focusing primarily on operation and maintenance costs or quality issues. The results identify the hydropower plants that can be considered benchmarks in different scenarios, and allow testing the robustness of plants' classification as benchmarks in the unrestricted model. exploitation occurs through concession or authorization. Transmission services are provided under the concession regime, while electricity distribution is carried out through concession or permission. 1 According to the current legislation, all hydropower plants with installed capacity more than 50 MW are given a concession grant. These hydros participate in public auctions, which operate through competition with a single buyer or purchasing agency, and where companies offer price bids considering that both fixed and variable costs will be recovered along the concession period.Recently, the Brazilian Government gave a referral to the issue of the renewal of the electricity generation concessions through the provisional measure no. 579/2012, converted into the law no. 12.783, of 11 January 2013 (Brazilian Presidency of the Republic, 2013). This norm enables the extension of the generation concession contracts for a period up to 30 years, provided that, among other conditions, the remuneration of assets fully depreciated or amortized is reduced until this compensation reaches the point to pay only the costs of operation and maintenance.Regarding the electrical generation activities, about 20% of the total hydro installed capacity of the country (equivalent of 22 GW) should be extended under this standard or tendered by public auctions. At the end of this process, the generation companies that passed through the process of granting extension are remunerated by a tariff stipulated by the Brazilian Electrical Regulatory Agency (ANEEL). Moreover, the normative resolution ANEEL no. 541 of 12 March 2013 (Brazilian Electricity Regulatory Agency, 2013), which establishes the standard quality of service that should be provided by these utilities, states that hydros observed performance should be taken into account for the calculation of their allowed revenue in each annual adjustment and review process. In other words, those that accept the conditions for the concession ren...

show abstract

Section: Literature Review On Performance Assessment Of Hydropower Plmentioning

confidence: 99%

The use of composite indicators to evaluate the performance of Brazilian hydropower plants

Calabria

Camanho

Zanella

2016

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Gross production value (y d ) represents actual economic results at the field level. Previous studies have considered the gross production value (y g ) as the industrial output (e.g., [54][55][56][57]). This paper uses the outputs of gross production value (y d ) and the three workplace injury rates (being wounded or ill (y u 1 ), disability (y u 2 ), and death (y u 3 )).…”

Section: Data Sources and Variablesmentioning

confidence: 99%

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Yeh

2017

Sustainability

View full text Add to dashboard Cite

Abstract:The severity of workplace injuries varies by industry. Information on workplace injuries can enable firms and governments to effectively improve their safety performance based on the specific contexts of each industry. Incorporating the three workplace injury rates (being wounded or ill, disability, and death), a data envelopment analysis (DEA) model is developed to evaluate the safety performance of 17 industrial sectors in Taiwan. The results suggest that the Taiwanese government should pay particular attention to the mining and quarrying industry, which has the lowest safety performance. Additionally, the results provide abundant information for the Taiwanese government to design industry safety regulations in a way that may prompt firms to develop a sustainable economy by improving their health and safety practices and enhancing their overall safety performance.

show abstract

“…DEA and window analysis (WA) were applied by Sözen et al [24] for efficiency assessment of ten hydro-power plants. They used DEA with respect to the production and energy unit cost in order to optimize hydro-power plants.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance evaluation of Iranian electricity distribution units by using stochastic data envelopment analysis

Azadeh

Haghighi

Zarrin

et al. 2015

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

a b s t r a c tThis paper introduces an approach based on stochastic data envelopment analysis (SDEA) for performance assessment of electricity distribution units. A new approach is applied for assessment of Iranian distribution units from 2001 to 2011 in this paper. There are usually incomplete and stochastic data or lack of data with respect to electricity distribution companies. Due to lack of information about some parameters, theory of probability is imported to the model. Different Iranian distribution units are considered as decision making units (DMUs). Network length, transport capacity and the number of employees are chosen as inputs while number of customers and total electricity sales are chosen as stochastic outputs. Then, the best electricity distributions units are selected with respect to efficiency scores in stochastic environment. Also, SDEA model is performed for each input, separately to identify the most important input indicators by comparing the results of associated efficiencies with SDEA model. The empirical results show that network length is the most important and influential input factor in this particular case study. To the best of our knowledge this is the first paper that examines stochastic outputs for assessment of electricity distribution units by SDEA in Iran.

show abstract

Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis

Cited by 51 publications

References 15 publications

The use of composite indicators to evaluate the performance of Brazilian hydropower plants

The use of composite indicators to evaluate the performance of Brazilian hydropower plants

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Performance evaluation of Iranian electricity distribution units by using stochastic data envelopment analysis

Contact Info

Product

Resources

About