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Sökning: id:"swepub:oai:research.chalmers.se:2f224046-88a3-402a-afdf-194b6f81d555" > An integrated appro...

An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making

Perera, A. T. D. (författare)
University of Moratuwa,Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Swiss Federal Institute of Technology
Nik, Vahid, 1979 (författare)
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
Mauree, D. (författare)
Ecole Polytechnique Federale de Lausanne (EPFL),Swiss Federal Institute of Technology in Lausanne (EPFL),Swiss Federal Institute of Technology
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Scartezzini, J. L. (författare)
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
Engelska.
Ingår i: Energy. - : Elsevier BV. - 0360-5442. ; 134, s. 103-120
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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.

Ämnesord

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)

Nyckelord

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

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