System for assessing the sustainability conditions of small hydro plants by fuzzy logic

被引:1
作者
Clauberg, Ana Paula Coelho [1 ]
de Mello, Renato [1 ]
Simioni, Flavio Jose [1 ]
Sehnem, Simone [2 ,3 ]
机构
[1] Univ Estado Santa Catarina, Dept Engn, Florianopolis, SC, Brazil
[2] Univ Oeste Santa Catarina, Div Sustainabil, Dept Management, Joacaba, Brazil
[3] Univ Sul Santa Catarina, Dept Management, Florianopolis, SC, Brazil
关键词
decision support system; environmental licensing; fuzzy expert system; fuzzy logic; soft decision tree; sustainability indicators; RENEWABLE ENERGY; EXPERT-SYSTEM; INDICATORS; DELPHI; UNCERTAINTY; ENVIRONMENT; MANAGEMENT; DEPLOYMENT; DYNAMICS; IMPACT;
D O I
10.1002/sd.2146
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
This work presents a system for an integrated evaluation of the implementation of small hydroelectric power plants (SHPs), based on a soft decision tree. The method generates the enterprise's sustainability index, where economic, environmental, and social aspects are considered in its interactions, with indicators measured in the field, sectoral indexes, and final index generated by fuzzy logic rule blocks. The methodology used to select the indicators and indexes followed four phases. First, a fuzzy expert system (FES) was developed in the form of a soft decision tree. Then, the array of suggested variables and weights were submitted to expert analysis using the Delphi methodology, and their assessments were collected. The third phase was the improvement of the system, taking into account the obtained considerations. In the fourth phase, the system was applied to a case study based on the installation of an SHP in the southern region of Brazil. The results obtained in the case study showed the sustainability of the enterprise. The presented method can have a significant contribution in supporting decisions regarding the licensing of hydroelectric projects.
引用
收藏
页码:300 / 317
页数:18
相关论文
共 67 条
[31]  
International Energy Agency, 1988, BEN EN ENV IMPL REN, P122
[32]  
Jackson P., 1990, Introduction to expert systems, V2nd
[33]   Assessing Renewables-to-Electricity Systems: a fuzzy Expert System model [J].
Kaminaris, SD ;
Tsoutsos, TD ;
Agoris, D ;
Machias, A .
ENERGY POLICY, 2006, 34 (12) :1357-1366
[34]   Project deployment strategies for community renewable energy: A dynamic multi-period planning approach [J].
Karunathilake, Hirushie ;
Hewage, Kasun ;
Prabatha, Tharindu ;
Ruparathna, Rajeev ;
Sadiq, Rehan .
RENEWABLE ENERGY, 2020, 152 (152) :237-258
[35]   Earned Green Value management for project management: A systematic review [J].
Koke, Benjamin ;
Moehler, Robert C. .
JOURNAL OF CLEANER PRODUCTION, 2019, 230 :180-197
[36]  
Krishnamoorthy C. S., 1996, ARTIF INTELL, P320
[37]   Power quality improvement of grid-connected wind energy system using facts devices [J].
Kumar, L. ;
Indragandhi, V. .
INTERNATIONAL JOURNAL OF AMBIENT ENERGY, 2020, 41 (06) :631-640
[38]  
Linder HL, 2017, ECOL INDIC, V83, P178, DOI 10.1016/j.ecolind.2017.07.015
[39]   General indicator for techno-economic assessment of renewable energy resources [J].
Liu, Gang ;
Li, Mengsi ;
Zhou, Bingjie ;
Chen, Yingying ;
Liao, Shengming .
ENERGY CONVERSION AND MANAGEMENT, 2018, 156 :416-426
[40]   Sustainability in hydropower development-A case study [J].
Liu, Jian ;
Zuo, Jian ;
Sun, Zhiyu ;
Zillante, George ;
Chen, Xianming .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 19 :230-237