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An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making
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- Perera, A. T. D. (author)
- University of Moratuwa,Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Swiss Federal Institute of Technology
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- Nik, Vahid, 1979 (author)
- Chalmers University of Technology,Lund University,Lunds universitet,Avdelningen för Byggnadsfysik,Institutionen för bygg- och miljöteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,Division of Building Physics,Department of Building and Environmental Technology,Departments at LTH,Faculty of Engineering, LTH
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- Mauree, D. (author)
- Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Swiss Federal Institute of Technology
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- (creator_code:org_t)
- Elsevier BV, 2017
- 2017
- English.
- In: Energy. - : Elsevier BV. - 0360-5442 .- 1873-6785. ; 134, s. 103-120
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- An integrated approach is presented in this study to design electrical hubs combining optimization, multi-criterion assessment and decision making. Levelized Energy Cost (LEC), Initial Capital Cost (ICC), Grid Integration Level (GI), Levelized CO2 emission (LCO2), utilization of renewable energy, flexibility of the system, loss of load probability (LOLP) are considered as criteria used to assess the design. The novel approach consists of several steps. Pareto analysis is conducted initially using 2D Pareto fronts to reduce the dimensions of the optimization problem. Subsequently, Pareto multi objective optimization is conducted considering EEC, GI and ICC which were identified as the best set of objective functions to represent the design requirements. Next, fuzzy TOPSIS and level diagrams are used for multi-criterion decision making (MCDM) considering the set of criteria and the boundary matrix that represents the design requirements of the application. Pareto analysis shows that 5D optimization problem can be reduced to a 3D optimization problem when considering LEC, ICC and GI as the objective functions. Finally, results obtained from the case study shows that the novel method can be used design distributed energy systems considering a set of criteria which is beyond the reach of Pareto optimization with different priority levels.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Other Civil Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)
Keyword
- Variable
- Grid Rural Electrification
- Virtual Power-Plant
- Prime Mover
- Multi-objective optimization
- Selection
- Operational Flexibility
- Multiobjective Optimization
- Hybrid Energy-Systems
- Multi-criterion assessment
- Smart-Microgrids
- Decision making
- Evolutionary Algorithms
- Distributed energy system
- Stand-Alone
- Renewables
- Distributed energy system
- Multi-objective optimization
- Multi-criterion assessment
- Decision making
- Electrical hub
- Fuzzy TOPSIS
Publication and Content Type
- art (subject category)
- ref (subject category)
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- Energy
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- Chalmers University of Technology
- Lund University
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