A framework for the selection of the right nuclear power plant

被引:43
作者
Locatelli, Giorgio [1 ]
Mancini, Mauro [1 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn, I-20133 Milan, Italy
关键词
non-monetary factors; life cycle evaluation; AHP; multi-attribute evaluation; nuclear power; SMR; MULTIATTRIBUTE DECISION-MAKING; EXTENT ANALYSIS METHOD; ANALYTIC HIERARCHY PROCESS; FUZZY AHP; ENERGY; RANKING; AID; ALTERNATIVES; PROJECTS;
D O I
10.1080/00207543.2012.657965
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Civil nuclear reactors are used for the production of electrical energy. In the nuclear industry vendors propose several nuclear reactor designs with a size from 35-45 MWe up to 1600-1700MWe. The choice of the right design is a multidimensional problem since a utility has to include not only financial factors as levelised cost of electricity (LCOE) and internal rate of return (IRR), but also the so called "external factors" like the required spinning reserve, the impact on local industry and the social acceptability. Therefore it is necessary to balance advantages and disadvantages of each design during the entire life cycle of the plant, usually 40-60 years. In the scientific literature there are several techniques for solving this multidimensional problem. Unfortunately it does not seem possible to apply these methodologies as they are, since the problem is too complex and it is difficult to provide consistent and trustworthy expert judgments. This paper fills the gap, proposing a two-step framework to choosing the best nuclear reactor at the pre-feasibility study phase. The paper shows in detail how to use the methodology, comparing the choice of a small-medium reactor (SMR) with a large reactor (LR), characterised, according to the International Atomic Energy Agency (2006), by an electrical output respectively lower and higher than 700 MWe.
引用
收藏
页码:4753 / 4766
页数:14
相关论文
共 63 条
[1]  
Adler R.W., 2000, Business Horizons, V43, P15, DOI DOI 10.1016/S0007-6813(00)80017-8
[2]  
Agalgaonkar AP, 2005, IEEE POWER ENG SOC, P2985
[3]   Multi-criteria selection of electric power plants using analytical hierarchy process [J].
Akash, BA ;
Mamlook, R ;
Mohsen, MS .
ELECTRIC POWER SYSTEMS RESEARCH, 1999, 52 (01) :29-35
[4]  
Al-Subhi Al-Harbi K. M., 2001, International Journal of Project Management, V19, P19, DOI 10.1016/S0263-7863(99)00038-1
[5]  
[Anonymous], 1997, Journal of Multi-Criteria Decision Analysis, DOI [https://doi.org/10.1002/(SICI)1099-1360(199711)6:6<309::AID-MCDA163>3.0.CO
[6]  
2-2, DOI 10.1002/(SICI)1099-1360(199711)6:6<309::AID-MCDA163>3.0.CO
[7]  
2-2, DOI 10.1002/(SICI)1099-1360(199711)6:63.0.CO
[8]  
2-2]
[9]   Ranking of enterprises based on multicriterial analysis [J].
Babic, Z ;
Plazibat, N .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1998, 56-7 :29-35
[10]   Decision making in energy planning: The ELECTRE multicriteria analysis approach compared to a fuzzy-sets methodology [J].
Beccali, M ;
Cellura, M ;
Ardente, D .
ENERGY CONVERSION AND MANAGEMENT, 1998, 39 (16-18) :1869-1881