Towards next-generation energy planning decision-making: An expert based framework for intelligent decision support

被引:30
作者
Sellak, Hamza [1 ]
Ouhbi, Brahim [1 ]
Frikh, Bouchra [2 ]
Palomares, Ivan [3 ]
机构
[1] Moulay Ismail Univ, Natl Higher Sch Arts & Crafts, Ind Engn & Prod Dept, Meknes, Morocco
[2] Sidi Mohamed Ben Abdellah Univ, Higher Sch Technol, Comp Sci Dept, Fes, Morocco
[3] Univ Bristol, Merchant Venturers Sch Engn, Bristol, Avon, England
关键词
Energy planning; Decision-making; Uncertainty; Artificial intelligence; Knowledge management; Intelligent decision support systems; Expert systems; DEMAND-SIDE MANAGEMENT; FUZZY COGNITIVE MAPS; FARM SITE SELECTION; RENEWABLE ENERGY; MULTIPLE CRITERIA; POWER-PLANT; MULTICRITERIA EVALUATION; SUSTAINABLE DEVELOPMENT; MULTIOBJECTIVE APPROACH; DISTRIBUTED GENERATION;
D O I
10.1016/j.rser.2017.07.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Achieving sustainable energy planning and development involves complex decision-making processes. The energy planning decision-making (EPDM) field relies on a plethora of decision analysis methods that offered many solutions to process a variety of energy management and strategic decision-making problems. However, current EPDM solutions are unable to overcome the increasing complexity of strategic energy planning situations involving a large number of stakeholders in uncertain, dynamic, and distributed environments. This raises significant new challenges for researchers in both decision sciences and renewable and sustainable energy planning. On the basis of a representative assortment of peer-reviewed related literature selected by querying multiple electronic databases and indexed in Scopus and Web of Science databases domain journals over the last 12 years, this paper exhaustively highlights and discusses limitations of existing strategic EPDM solutions. The analysis is based on a classification specially developed by holistically harmonizing important domain concepts to categorize the considered representative sample of the field of interest. Additionally, this paper integrates results and conclusions from some recent and most cited literature reviews to (i) formulate essential evidence as well as practical and conclusive literature's support alongside with the formulated representative sample to this paper's subsequent insights and statements, and (ii) guarantee that no relevant articles have been excluded. A total of 78 related works is gathered and analyzed to provide a general view and discussion on major complexities found in classical/traditional strategic EPDM solutions and challenges for next-generation EPDM solutions. Moreover, a comparative analysis of the two solutions and a set of "quality indexes" of a next generation EPDM solution were identified and some proposals were made to improve future applicative research. As an original result coming from the "quality indexes" identified through the review process, an intelligent expert-based framework for next-generation EPDM solutions is developed for enhanced renewable and sustainable energy planning.
引用
收藏
页码:1544 / 1577
页数:34
相关论文
共 241 条
[1]   Developing a novel risk-based methodology for multi-criteria decision making in marine renewable energy applications [J].
Abaei, Mohammad Mandi ;
Arzaghi, Ehsan ;
Abbassi, Rouzbeh ;
Garaniya, Vikram ;
Penesis, Irene .
RENEWABLE ENERGY, 2017, 102 :341-348
[2]   Fuzzy rule-based models for decision support in ecosystem management [J].
Adriaenssens, V ;
De Baets, B ;
Goethals, PLM ;
De Pauw, N .
SCIENCE OF THE TOTAL ENVIRONMENT, 2004, 319 (1-3) :1-12
[3]   Evaluation of natural gas supply options for Southeast and Central Europe: Part 2. Multi-criteria assessment [J].
Afgan, Naim H. ;
Carvalho, Maria G. ;
Pilavachi, Petros A. ;
Martins, Nelson .
ENERGY CONVERSION AND MANAGEMENT, 2008, 49 (08) :2345-2353
[4]   Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives [J].
Afsordegan, A. ;
Sanchez, M. ;
Agell, N. ;
Zahedi, S. ;
Cremades, L. V. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2016, 13 (06) :1419-1432
[5]   The Evaluation of Power Plants Investment Alternatives with Grey Relational Analysis Approach for Turkey [J].
Akay, D. ;
Boran, F. E. ;
Yilmaz, M. ;
Atak, M. .
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2013, 8 (01) :35-43
[6]   Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications [J].
Aktas, Ahmet ;
Erhan, Koray ;
Ozdemir, Sule ;
Ozdemir, Engin .
ELECTRIC POWER SYSTEMS RESEARCH, 2017, 144 :185-196
[7]   Potential energy saving in urban and rural households of Mexico by use of solar water heaters, using geographical information system [J].
Alberto Rosas-Flores, Jorge ;
Rosas-Flores, Dionicio ;
Fernandez Zayas, Jose Luis .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 53 :243-252
[8]   Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making [J].
Alfaro, Jose F. ;
Miller, Shelie ;
Johnson, Jeremiah X. ;
Riolo, Rick R. .
ENERGY POLICY, 2017, 101 :317-331
[9]   Integration of renewable energy sources in smart grids by means of evolutionary optimization algorithms [J].
Alonso, Monica ;
Amaris, Hortensia ;
Alvarez-Ortega, Carlos .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (05) :5513-5522
[10]  
[Anonymous], LOCAT SCI