Multi-criteria analysis of electricity generation technologies in Lithuania

被引：148

作者：

Streimikiene, Dalia ^{[1
]}

Sliogeriene, Jurate ^{[2
]}

Turskis, Zenonas ^{[2
]}

机构：

[1] Lithuanian Energy Inst, LT-44403 Kaunas, Lithuania

[2] Vilnius Gediminas Tech Univ, LT-2040 Vilnius, Lithuania

来源：

RENEWABLE ENERGY | 2016年 / 85卷

关键词：

Electricity generation technologies; Scenarios; Multiple criteria analysis; AHP (Analytic Hierarchy Process); ARAS (Additive Ratio Assessment); Lithuanian case study; DECISION-MAKING; ENERGY; SELECTION; TOPSIS; VIKOR;

D O I：

10.1016/j.renene.2015.06.032

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The paper presents the process of choice of electricity generation technologies, which has been solved using a case of Lithuania's power sector and such multiple criteria mathematical methods as AHP (Analytic Hierarchy Process) and ARAS (Additive Ratio Assessment method). Having considered the impact of environment, a set of evaluation criteria was compiled for electricity generation technologies. Analysis of qualitative and quantitative criteria helped to rate the electricity generation technologies considering their economic, technological, environmental social and political aspects and rank them in order of priority. The derived results show that in case of Lithuania it is viable to consider further development of the nuclear power generation capacity. Among the electricity generation technologies related to renewable energy sources a clear priority is assigned to biomass technologies. Sensitivity analysis performed by applying multi criteria method ARAS, has confirmed this result. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：148 / 156

页数：9

共 36 条

[1] Methods and tools to evaluate the availability of renewable energy sources [J].

Angelis-Dimakis, Athanasios ;

Biberacher, Markus ;

Dominguez, Javier ;

Fiorese, Giulia ;

Gadocha, Sabine ;

Gnansounou, Edgard ;

Guariso, Giorgio ;

Kartalidis, Avraam ;

Panichelli, Luis ;

Pinedo, Irene ;

Robba, Michela .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (02) :1182-1200

[2] Multi-criteria selection for a wind observation station location using analytic hierarchy process [J].

Aras, H ;

Erdogmus, S ;

Koç, E .

RENEWABLE ENERGY, 2004, 29 (08) :1383-1392

[3] Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology [J].

Beccali, M ;

Cellura, M ;

Mistretta, M .

RENEWABLE ENERGY, 2003, 28 (13) :2063-2087

[4] A state-of the-art survey of TOPSIS applications [J].

Behzadian, Majid ;

Otaghsara, S. Khanmohammadi ;

Yazdani, Morteza ;

Ignatius, Joshua .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (17) :13051-13069

[5] Multi-source energy systems analysis using a multi-criteria decision aid methodology [J].

Catalina, Tiberiu ;

Virgone, Joseph ;

Blanco, Eric .

RENEWABLE ENERGY, 2011, 36 (08) :2245-2252

[6] A comparative assessment of thin-film photovoltaic production processes using the ELECTRE III method [J].

Cavallaro, Fausto .

ENERGY POLICY, 2010, 38 (01) :463-474

[7] Extensions of the TOPSIS for group decision-making under fuzzy environment [J].

Chen, CT .

FUZZY SETS AND SYSTEMS, 2000, 114 (01) :1-9

[8] Evaluation of energy storage technologies for integration with renewable electricity: Quantifying expert opinions [J].

Daim, Tugrul U. ;

Li, Xin ;

Kim, Jisun ;

Simms, Scott .

ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS, 2012, 3 :29-49

[9]

Das ManikChandra., 2012, Socio-Economic Planning Sciences, V46, P230, DOI DOI 10.1016/J.SEPS.2011.12.001

[10] Energy futures: Diversity and the need for assessment [J].

Grunwald, Armin .

FUTURES, 2011, 43 (08) :820-830

← 1 2 3 4 →