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

2012 ◽  
Vol 46 ◽  
pp. 192-202 ◽  
Author(s):  
Adnan Sözen ◽  
İhsan Alp ◽  
Cuma Kilinc
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Data Envelopment ◽  
Hydro Power ◽  
Efficiency Assessment ◽  
Hydro Power Plants ◽  
Using Data

scholarly journals Contested Development Paths and Rural communities: Sustainable Energy or Sustainable Tourism in Iceland?

2019 ◽  
Vol 11 (13) ◽  
pp. 3642 ◽  
Author(s):  
Anna Dóra Sæþórsdóttir ◽  
C. Michael Hall
Keyword(s):  
Rural Communities ◽  
Transmission Lines ◽  
Power Plants ◽  
Similar Proportion ◽  
Hydro Power ◽  
Face To Face ◽  
Interior Highlands ◽  
Hydro Power Plants ◽  
Using Data ◽  
Development Paths

The Icelandic economy has transitioned from being dependent on fishing and agriculture to having tourism and refined aluminum as its main exports. Nevertheless, the new main industries still rely on the country’s natural resources, as the power intensive industry uses energy from rivers and geothermal areas whereas tourism uses the natural landscape, where geysers, waterfalls and thermal pools are part of the attraction to visitors. Although both industries claim to contribute to sustainability they utilize the same resources, and land-use conflicts can be expected, illustrating the contestation that can occur between different visions and understandings of sustainability. This paper focuses on the attitudes of Icelandic tourism operators towards power production and proposed power plants using data from questionnaires and face-to-face interviews. Results show that the majority of Icelandic tourism operators assume further power utilization would be in conflict with nature-based tourism, and they are generally negative towards all types of renewable energy development and power plant infrastructure. Respondents are most negative towards transmission lines, reservoirs and hydro power plants in the country’s interior Highlands. About 40% of the respondents perceive that existing power plants have negatively affected tourism, while a similar proportion think they had no impact. According to the respondents, the two industries could co-exist with improved spatial planning, management and inter-sectoral cooperation.

Comparative Efficiency Assessment of Primary Care Service Delivery Models Using Data Envelopment Analysis

2011 ◽  
Vol 37 (1) ◽  
pp. 85-109 ◽  
Author(s):  
Olga Milliken ◽  
Rose Anne Devlin ◽  
Victoria Barham ◽  
William Hogg ◽  
Simone Dahrouge ◽  
...  
Keyword(s):  
Primary Care ◽  
Data Envelopment Analysis ◽  
Service Delivery ◽  
Care Service ◽  
Data Envelopment ◽  
Comparative Efficiency ◽  
Service Delivery Models ◽  
Efficiency Assessment ◽  
Using Data ◽  
Delivery Models

scholarly journals Data envelopment analysis with fuzzy complex numbers; with an empirical case on power plants of Iran

2020 ◽  
Author(s):  
Mahmood Esfandiari ◽  
Saber Saati
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Complex Numbers ◽  
Complex Data ◽  
Data Envelopment ◽  
Steam Power ◽  
Dea Model ◽  
Steam Power Plants ◽  
Using Data ◽  
Α Level

Using Data Envelopment Analysis (DEA) in complex environment is an idea that has recently presented for measuring the relative efficiencies of a set of Decision Making Units (DMUs) with complex inputs and outputs. The values of the input and output data in real-world problems appear sometimes as fuzzy complex number. For dealing with these types of data in DEA, we need to design a new model. This paper proposes a DEA model with triangular fuzzy complex numbers and solve it by using the concept of the data size and the α-level approach. This method transforms DEA model with fuzzy complex data to a linear programing problem with crisp data. In the following, a ranking model is also developed using the above approach to rank the efficient DMUs. The proposed method is presented for the first time by the authors and there is no similar method. Finally, we present a case study in the generators of the steam power plants to demonstrate the applicability of the proposed methods in the power industry.

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