Power generation expansion planning in an autonomous island system using multi-objective programming: the case of Milos Island

This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those economic and environmental objectives which typically conflict (cost minimization vs. CO 2 emission reduction maximization) subject to a num...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Operational research Ročník 10; číslo 1; s. 109 - 132
Hlavní autori:	Kourempele, Maria, Mavrotas, G., Geronikolou, L., Rozakis, S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer-Verlag 01.05.2010 Springer Nature B.V
Predmet:	Business and Management Carbon dioxide Computational Intelligence Decision making Demand Electric power Electricity distribution Energy consumption Energy economics Fuzzy logic Fuzzy sets Islands Linear programming Load Management Science Marketing Mathematical models Mathematical programming Maximization Methods Operations Research Operations Research/Decision Theory Original Paper Pollutants Power generation Power supply Studies Sustainability Sustainable development Turbines Variables Greece Fuzzy demand Multi-objective mixed integer linear programming Reference point Augmented ε-constraint method Energy regional planning
ISSN:	1109-2858, 1866-1505
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those economic and environmental objectives which typically conflict (cost minimization vs. CO 2 emission reduction maximization) subject to a number of constraints. Due to uncertainties in future power demand, the latter is handled as a fuzzy parameter. Fuzziness is dealt with by the addition of a third objective function, the maximization of the degree of demand satisfaction. The MOLP model developed is solved in two ways. First, the use of the augmented ε-constraint method which produces the trade offs between cost and CO 2 for different values of the degree of demand satisfaction, and second the reference point framework, a generation and an interactive method, respectively. In the second approach decision makers set their aspiration levels concerning the different criteria, converging after a number of iterations in a compromise solution, whereas in the augmented ε-constraint generation method the decision makers have to choose their preferred solution between all the efficient points depicted in the trade-offs. A comparative analysis of the above methods concludes the paper, highlighting advantages and shortcomings.
AbstractList	This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those economic and environmental objectives which typically conflict (cost minimization vs. CO sub(2) emission reduction maximization) subject to a number of constraints. Due to uncertainties in future power demand, the latter is handled as a fuzzy parameter. Fuzziness is dealt with by the addition of a third objective function, the maximization of the degree of demand satisfaction. The MOLP model developed is solved in two ways. First, the use of the augmented epsilon -constraint method which produces the trade offs between cost and CO sub(2) for different values of the degree of demand satisfaction, and second the reference point framework, a generation and an interactive method, respectively. In the second approach decision makers set their aspiration levels concerning the different criteria, converging after a number of iterations in a compromise solution, whereas in the augmented epsilon -constraint generation method the decision makers have to choose their preferred solution between all the efficient points depicted in the trade-offs. A comparative analysis of the above methods concludes the paper, highlighting advantages and shortcomings. This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those economic and environmental objectives which typically conflict (cost minimization vs. CO 2 emission reduction maximization) subject to a number of constraints. Due to uncertainties in future power demand, the latter is handled as a fuzzy parameter. Fuzziness is dealt with by the addition of a third objective function, the maximization of the degree of demand satisfaction. The MOLP model developed is solved in two ways. First, the use of the augmented ε-constraint method which produces the trade offs between cost and CO 2 for different values of the degree of demand satisfaction, and second the reference point framework, a generation and an interactive method, respectively. In the second approach decision makers set their aspiration levels concerning the different criteria, converging after a number of iterations in a compromise solution, whereas in the augmented ε-constraint generation method the decision makers have to choose their preferred solution between all the efficient points depicted in the trade-offs. A comparative analysis of the above methods concludes the paper, highlighting advantages and shortcomings. This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those economic and environmental objectives which typically conflict (cost minimization vs. CO2 emission reduction maximization) subject to a number of constraints. Due to uncertainties in future power demand, the latter is handled as a fuzzy parameter. Fuzziness is dealt with by the addition of a third objective function, the maximization of the degree of demand satisfaction. The MOLP model developed is solved in two ways. First, the use of the augmented [straight epsilon]-constraint method which produces the trade offs between cost and CO2 for different values of the degree of demand satisfaction, and second the reference point framework, a generation and an interactive method, respectively. In the second approach decision makers set their aspiration levels concerning the different criteria, converging after a number of iterations in a compromise solution, whereas in the augmented [straight epsilon]-constraint generation method the decision makers have to choose their preferred solution between all the efficient points depicted in the trade-offs. A comparative analysis of the above methods concludes the paper, highlighting advantages and shortcomings. [PUBLICATION ABSTRACT]
Author	Rozakis, S. Kourempele, Maria Mavrotas, G. Geronikolou, L.
Author_xml	– sequence: 1 givenname: Maria surname: Kourempele fullname: Kourempele, Maria email: mkou38@yahoo.gr organization: Laboratory of Industrial and Energy Economics, School of Chemical Engineering, National Technical University of Athens – sequence: 2 givenname: G. surname: Mavrotas fullname: Mavrotas, G. organization: Laboratory of Industrial and Energy Economics, School of Chemical Engineering, National Technical University of Athens – sequence: 3 givenname: L. surname: Geronikolou fullname: Geronikolou, L. organization: Agricultural University of Athens – sequence: 4 givenname: S. surname: Rozakis fullname: Rozakis, S. organization: Agricultural University of Athens
BookMark	eNp9UU1rFTEUDVLBWvsD3AU3rqbme2bcSdFaqOiiXYdM5s4zj5nkmZtRu_G3m-kThIKGhHvhnHM5uec5OYkpAiEvObvgjLVvkAupecNYX5-RjX5CTnlnTMM10ye15xURne6ekXPEPatHirZT3Sn59SX9gEx3ECG7ElKk8PPgIm7dYXYxhrijIVJX71pSTEtakQas0EjxHgssdMWNtKxzCU0a9uBL-A70kNMuu2Wp2FtavgL1DoGmiX4Kc0J6_TDiBXk6uRnh_E89I3cf3t9efmxuPl9dX767abw0TDdqchKMMJ0ZjB6MAqbASSYGV3EzKM6lc0KoduRictNoOs-ZkuPoJ678oOUZeX2cW119WwGLXQJ6mKsHqB-yPe971tc9VearR8x9WnOs5mzXcsWlZhupPZJ8TogZJutDeVhfyS7MljO7BWOPwdgajN2CsZsR_kh5yGFx-f6_GnHUYOXGHeS_lv4t-g3pHKNr
CitedBy_id	crossref_primary_10_1007_s12351_022_00696_z crossref_primary_10_1016_j_jclepro_2025_145636 crossref_primary_10_1002_etep_1861
Cites_doi	10.1002/er.4440190809 10.1016/0377-2217(87)90211-6 10.1007/0-387-23081-5_21 10.1111/j.1475-3995.1999.tb00153.x 10.1016/0377-2217(84)90124-3 10.1016/0895-7177(89)90364-6 10.1016/0167-188X(85)90013-8 10.1002/er.4440190507 10.1016/S1364-0321(03)00004-2 10.1007/978-3-642-45511-7 10.1111/j.1475-3995.1996.tb00055.x 10.1016/0165-0114(92)90318-X 10.1016/S0377-2217(03)00159-0 10.1006/jema.1999.0264 10.1057/palgrave.jors.2600944 10.1007/978-1-4615-1495-4 10.1016/0306-2619(85)90004-2 10.1016/S0305-0483(01)00059-7 10.1016/0377-2217(95)00008-9 10.1016/j.energy.2003.10.012 10.1016/0377-2217(83)90219-9 10.1016/j.enpol.2008.01.011 10.1007/978-1-4615-4477-7 10.1007/0-387-25352-1_8 10.1016/0005-1098(80)90022-9 10.1016/0270-0255(82)90038-0
ContentType	Journal Article
Copyright	Springer-Verlag 2009 Springer-Verlag 2010
Copyright_xml	– notice: Springer-Verlag 2009 – notice: Springer-Verlag 2010
DBID	AAYXX CITATION 3V. 7TB 7WY 7WZ 7XB 87Z 8FD 8FE 8FG 8FK 8FL ABJCF ABUWG AFKRA BENPR BEZIV BGLVJ CCPQU DWQXO FR3 FRNLG F~G HCIFZ K60 K6~ K8~ KR7 L.- L.0 L6V M0C M7S PHGZM PHGZT PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PRINS PTHSS Q9U
DOI	10.1007/s12351-009-0063-5
DatabaseName	CrossRef ProQuest Central (Corporate) Mechanical & Transportation Engineering Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Business Premium Collection ProQuest Technology Collection ProQuest One Community College ProQuest Central Engineering Research Database Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) SciTech Premium Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection DELNET Management Collection Civil Engineering Abstracts ABI/INFORM Professional Advanced ABI/INFORM Professional Standard ProQuest Engineering Collection ABI/INFORM Global Engineering Database Proquest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection ProQuest Central Basic
DatabaseTitle	CrossRef ABI/INFORM Global (Corporate) ProQuest Business Collection (Alumni Edition) ProQuest One Business Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ABI/INFORM Complete ProQuest Central ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest Engineering Collection ABI/INFORM Professional Standard ProQuest Central Korea ProQuest Central (New) ABI/INFORM Complete (Alumni Edition) Engineering Collection Business Premium Collection Civil Engineering Abstracts ABI/INFORM Global Engineering Database ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection ProQuest One Academic UKI Edition ProQuest DELNET Management Collection Materials Science & Engineering Collection ProQuest One Business (Alumni) Engineering Research Database ProQuest One Academic ProQuest Central (Alumni) Business Premium Collection (Alumni) ProQuest One Academic (New)
DatabaseTitleList	Civil Engineering Abstracts ABI/INFORM Global (Corporate)
Database_xml	– sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1866-1505
EndPage	132
ExternalDocumentID	2373066081 10_1007_s12351_009_0063_5
Genre	Feature
GeographicLocations	Greece
GeographicLocations_xml	– name: Greece
GroupedDBID	-57 -5G -BR -EM -Y2 -~C .VR 06D 0R~ 0VY 123 1N0 203 29N 2J2 2JN 2JY 2KG 2KM 2LR 2VQ 30V 3V. 4.4 406 408 40D 40E 5VS 67Z 6NX 7WY 875 8FE 8FG 8FL 8TC 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABDZT ABECU ABFTV ABHQN ABJCF ABJNI ABJOX ABKCH ABMNI ABMQK ABNWP ABQBU ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACPIV ACSNA ACZOJ ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARMRJ AXYYD AYQZM B-. BA0 BAPOH BDATZ BENPR BEZIV BGLVJ BGNMA BPHCQ CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP DWQXO EBLON EBS EIOEI EJD ESBYG FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNWQR GQ6 GQ7 GROUPED_ABI_INFORM_COMPLETE H13 HCIFZ HF~ HG6 HLICF HMJXF HRMNR HZ~ IKXTQ IWAJR IXD I~X I~Z J-C J0Z JBSCW JZLTJ K60 K6~ K8~ KOV L6V LLZTM M0C M4Y M7S MA- NPVJJ NQJWS NU0 O9- O93 O9G O9J P9M PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PTHSS Q2X QOS R89 R9I ROL RPX RSV S16 S1Z S27 S3B SAP SBE SDH SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TUC U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W48 WK8 YLTOR Z45 Z5O Z81 ZMTXR ~A9 AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC AEZWR AFDZB AFFHD AFHIU AFOHR AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION PHGZM PHGZT PQGLB 7TB 7XB 8FD 8FK FR3 KR7 L.- L.0 PKEHL PQEST PQUKI PRINS Q9U
ID	FETCH-LOGICAL-c3605-4fa3e62686b65b64e04ea302bac366b4113aa2247d12fafd68c1043ddcf14cb53
IEDL.DBID	RSV
ISSN	1109-2858
IngestDate	Sun Nov 09 13:06:34 EST 2025 Tue Nov 04 19:43:54 EST 2025 Tue Nov 18 22:30:37 EST 2025 Sat Nov 29 05:50:47 EST 2025 Fri Feb 21 02:34:54 EST 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Keywords	Fuzzy demand Multi-objective mixed integer linear programming Reference point Augmented ε-constraint method Energy regional planning
Language	English
License	http://www.springer.com/tdm
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c3605-4fa3e62686b65b64e04ea302bac366b4113aa2247d12fafd68c1043ddcf14cb53
Notes	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
OpenAccessLink	http://doi.org/10.1007/s12351-009-0063-5
PQID	871413500
PQPubID	326268
PageCount	24
ParticipantIDs	proquest_miscellaneous_919909110 proquest_journals_871413500 crossref_citationtrail_10_1007_s12351_009_0063_5 crossref_primary_10_1007_s12351_009_0063_5 springer_journals_10_1007_s12351_009_0063_5
PublicationCentury	2000
PublicationDate	20100500
PublicationDateYYYYMMDD	2010-05-01
PublicationDate_xml	– month: 5 year: 2010 text: 20100500
PublicationDecade	2010
PublicationPlace	Berlin/Heidelberg
PublicationPlace_xml	– name: Berlin/Heidelberg – name: Heidelberg
PublicationSubtitle	An International Journal
PublicationTitle	Operational research
PublicationTitleAbbrev	Oper Res Int J
PublicationYear	2010
Publisher	Springer-Verlag Springer Nature B.V
Publisher_xml	– name: Springer-Verlag – name: Springer Nature B.V
References	Mavrotas G (2000) Multiple objective programming under uncertainty. Development of a DSS and implementation to energy planning. PhD thesis, Athens (in Greek) RozakisSSoldatosPKallivroussisLNicolaouIMultiple criteria analysis of bio-energy projects: evaluation of bio-electricity production in Farsala Plain, GreeceJ Geogr Inf Dec Anal2001514964 Mavrotas G (2006) Generation of efficient solutions in multiobjective mathematical programming problems using GAMS. Effective implementation of the ε-constraint method. Technical report available in: http://www.gams.com/modlib/adddocs/epscm.pdf HobbsBFMeierPEnergy Decisions and the Environment: A Guide to the Use of Multicriteria Methods2000DordrechtKluwer Academic Publishers Antunes CH, Martins AG (eds) (2003) OR models for energy policy, planning and management. Ann Oper Res 120(12) BeltonVStewartTJMultiple criteria decision analysis: an integrated approach2002BostonKluwer Academic Publishers ZiontsSDeshpandeDNijkampPSpronkJEnergy planning using a multiple criteria decision methodMultiple criteria analysis: operational methods1981LondonGower Press153162 KavrakogluIEnergy modelsEur J Oper Res19872812113110.1016/0377-2217(87)90211-6 OliveiraCAntunesCHA multiple objective model to deal with economy–energy–environment interactionsEur J Oper Res200315337037510.1016/S0377-2217(03)00159-0 LaiYJHwangCLA new approach to some possibilistic linear programming problemsFuzzy Sets Syst19924912113310.1016/0165-0114(92)90318-X AntunesCHMartinsAGBritoIA multiple objective mixed integer linear programming model for power generation expansion planningEnergy20042961362710.1016/j.energy.2003.10.012 Mavrotas G, Diakoulaki D (2005) A mixed integer multiple objective linear programming model for capacity expansion in an autonomous power generation system. In: Loulou R, Wauub JP, Zaccour G (eds) Energy Environ, Springer, pp 191–210 TeghemJKunschPApplication of multiobjective stochastic linear programming to power systems planningEng Costs Prod Econ19859838910.1016/0167-188X(85)90013-8 Stoll HG (1989) Least-cost electricity utility planning. Wiley, New York ChattopadhyayDCost versus emissions minimization in thermal electricity generation: a case of SO2 emissions reduction from the Indian power systemInt J Energy Res19951972172710.1002/er.4440190809 DiakoulakiDAntunesCHMartinsAGFigueiraJGrecoSEhrgottMMCDA and energy planningMultiple criteria decision analysis: state of the art surveys2005BerlinSpringer859898 CormioCDicoratoMMinoiaATrovatoMA regional energy planning methodology including renewable energy sources and environmental constraintsRenewable Sustainable Energy Rev200379913010.1016/S1364-0321(03)00004-2 MartinsAGCoelhoDAntunesCHClímacoJA multiple objective linear programming approach to power generation planning with demand—side managementInt Trans Oper Res1996330531710.1111/j.1475-3995.1996.tb00055.x MavrotasGDiakoulakiDPapayannakisLAn energy planning approach based on mixed 0–1 MOLPInt Trans Oper Res1999623124410.1111/j.1475-3995.1999.tb00153.x CohonJMultiobjective programming and planning1978New YorkAcademic Press LinaresPRomeroCAggregation of preferences in an environmental economics context: a goal-programming approachOmega200230899510.1016/S0305-0483(01)00059-7 WierzbickiAPA mathematical basis for satisfying decision makingMath Modell1982339140510.1016/0270-0255(82)90038-0 HwangCLMasudAMultiple objective decision making. Methods and Applications: A state of the art survey. Lecture Notes in Economics and Mathematical Systems1979BerlinSpringer-Verlag KavrakogluIModels for national energy policyAutomatica19801637939210.1016/0005-1098(80)90022-9 SchulzVStehfestHRegional energy supply optimization with multiple objectivesEur J Oper Res19841730231210.1016/0377-2217(84)90124-3 LinaresPRomeroCA multiple criteria decision making approach for electricity planning in Spain: economic versus environmental objectivesJ Oper Res Soc200051736743 SteuerREMultiple criteria optimization. Theory, computation and application19892MalabarKrieger VanderpootenDVinckePDescription and analysis of some representative interactive multicriteria proceduresMath Comput Modell19891210/111221123810.1016/0895-7177(89)90364-6 QuaddusMGohTElectric power generation expansion planning with multiple objectivesAppl Energy19851930131910.1016/0306-2619(85)90004-2 RommelfangerHFuzzy linear programming and applicationsEur J Oper Res19969251252710.1016/0377-2217(95)00008-9 Cheol-JooCThe economic–energy–environmental policy problem: an application of the interactive multiobjective decision method for Chungbuk ProvinceJ Environ Manage19995611913110.1006/jema.1999.0264 ClímacoJAntunesCHMartinsAGAlmeidaATA multiple objective linear programming model for power generation expansion planningInt J Energy Res19951941943210.1002/er.4440190507 KavrakogluIKiziltanGMultiobjective strategies in power systems planningEur J Oper Res19831215917010.1016/0377-2217(83)90219-9 MavrotasGDiakoulakiDFloriosKGeorgiouPA mathematical programming framework for energy planning in services’ sector buildings under uncertainty in load demand: the case of a hospital in AthensEnergy Policy2008362415242910.1016/j.enpol.2008.01.011 63_CR1 J Clímaco (63_CR6) 1995; 19 RE Steuer (63_CR28) 1989 CL Hwang (63_CR11) 1979 H Rommelfanger (63_CR25) 1996; 92 63_CR29 C Cheol-Joo (63_CR5) 1999; 56 D Diakoulaki (63_CR9) 2005 S Zionts (63_CR33) 1981 G Mavrotas (63_CR21) 1999; 6 S Rozakis (63_CR26) 2001; 5 M Quaddus (63_CR24) 1985; 19 C Oliveira (63_CR23) 2003; 153 J Cohon (63_CR7) 1978 V Schulz (63_CR27) 1984; 17 C Cormio (63_CR8) 2003; 7 63_CR20 63_CR34 AP Wierzbicki (63_CR32) 1982; 3 YJ Lai (63_CR15) 1992; 49 P Linares (63_CR16) 2000; 51 D Vanderpooten (63_CR31) 1989; 12 V Belton (63_CR3) 2002 P Linares (63_CR17) 2002; 30 63_CR19 CH Antunes (63_CR2) 2004; 29 I Kavrakoglu (63_CR13) 1987; 28 BF Hobbs (63_CR10) 2000 I Kavrakoglu (63_CR14) 1983; 12 I Kavrakoglu (63_CR12) 1980; 16 G Mavrotas (63_CR22) 2008; 36 D Chattopadhyay (63_CR4) 1995; 19 AG Martins (63_CR18) 1996; 3 J Teghem (63_CR30) 1985; 9
References_xml	– reference: Cheol-JooCThe economic–energy–environmental policy problem: an application of the interactive multiobjective decision method for Chungbuk ProvinceJ Environ Manage19995611913110.1006/jema.1999.0264 – reference: MartinsAGCoelhoDAntunesCHClímacoJA multiple objective linear programming approach to power generation planning with demand—side managementInt Trans Oper Res1996330531710.1111/j.1475-3995.1996.tb00055.x – reference: LaiYJHwangCLA new approach to some possibilistic linear programming problemsFuzzy Sets Syst19924912113310.1016/0165-0114(92)90318-X – reference: LinaresPRomeroCAggregation of preferences in an environmental economics context: a goal-programming approachOmega200230899510.1016/S0305-0483(01)00059-7 – reference: CormioCDicoratoMMinoiaATrovatoMA regional energy planning methodology including renewable energy sources and environmental constraintsRenewable Sustainable Energy Rev200379913010.1016/S1364-0321(03)00004-2 – reference: SteuerREMultiple criteria optimization. Theory, computation and application19892MalabarKrieger – reference: ChattopadhyayDCost versus emissions minimization in thermal electricity generation: a case of SO2 emissions reduction from the Indian power systemInt J Energy Res19951972172710.1002/er.4440190809 – reference: KavrakogluIModels for national energy policyAutomatica19801637939210.1016/0005-1098(80)90022-9 – reference: RommelfangerHFuzzy linear programming and applicationsEur J Oper Res19969251252710.1016/0377-2217(95)00008-9 – reference: ZiontsSDeshpandeDNijkampPSpronkJEnergy planning using a multiple criteria decision methodMultiple criteria analysis: operational methods1981LondonGower Press153162 – reference: SchulzVStehfestHRegional energy supply optimization with multiple objectivesEur J Oper Res19841730231210.1016/0377-2217(84)90124-3 – reference: KavrakogluIEnergy modelsEur J Oper Res19872812113110.1016/0377-2217(87)90211-6 – reference: MavrotasGDiakoulakiDFloriosKGeorgiouPA mathematical programming framework for energy planning in services’ sector buildings under uncertainty in load demand: the case of a hospital in AthensEnergy Policy2008362415242910.1016/j.enpol.2008.01.011 – reference: WierzbickiAPA mathematical basis for satisfying decision makingMath Modell1982339140510.1016/0270-0255(82)90038-0 – reference: HobbsBFMeierPEnergy Decisions and the Environment: A Guide to the Use of Multicriteria Methods2000DordrechtKluwer Academic Publishers – reference: MavrotasGDiakoulakiDPapayannakisLAn energy planning approach based on mixed 0–1 MOLPInt Trans Oper Res1999623124410.1111/j.1475-3995.1999.tb00153.x – reference: Antunes CH, Martins AG (eds) (2003) OR models for energy policy, planning and management. Ann Oper Res 120(12) – reference: HwangCLMasudAMultiple objective decision making. Methods and Applications: A state of the art survey. Lecture Notes in Economics and Mathematical Systems1979BerlinSpringer-Verlag – reference: OliveiraCAntunesCHA multiple objective model to deal with economy–energy–environment interactionsEur J Oper Res200315337037510.1016/S0377-2217(03)00159-0 – reference: RozakisSSoldatosPKallivroussisLNicolaouIMultiple criteria analysis of bio-energy projects: evaluation of bio-electricity production in Farsala Plain, GreeceJ Geogr Inf Dec Anal2001514964 – reference: BeltonVStewartTJMultiple criteria decision analysis: an integrated approach2002BostonKluwer Academic Publishers – reference: Mavrotas G, Diakoulaki D (2005) A mixed integer multiple objective linear programming model for capacity expansion in an autonomous power generation system. In: Loulou R, Wauub JP, Zaccour G (eds) Energy Environ, Springer, pp 191–210 – reference: Mavrotas G (2006) Generation of efficient solutions in multiobjective mathematical programming problems using GAMS. Effective implementation of the ε-constraint method. Technical report available in: http://www.gams.com/modlib/adddocs/epscm.pdf – reference: CohonJMultiobjective programming and planning1978New YorkAcademic Press – reference: TeghemJKunschPApplication of multiobjective stochastic linear programming to power systems planningEng Costs Prod Econ19859838910.1016/0167-188X(85)90013-8 – reference: ClímacoJAntunesCHMartinsAGAlmeidaATA multiple objective linear programming model for power generation expansion planningInt J Energy Res19951941943210.1002/er.4440190507 – reference: QuaddusMGohTElectric power generation expansion planning with multiple objectivesAppl Energy19851930131910.1016/0306-2619(85)90004-2 – reference: AntunesCHMartinsAGBritoIA multiple objective mixed integer linear programming model for power generation expansion planningEnergy20042961362710.1016/j.energy.2003.10.012 – reference: DiakoulakiDAntunesCHMartinsAGFigueiraJGrecoSEhrgottMMCDA and energy planningMultiple criteria decision analysis: state of the art surveys2005BerlinSpringer859898 – reference: Mavrotas G (2000) Multiple objective programming under uncertainty. Development of a DSS and implementation to energy planning. PhD thesis, Athens (in Greek) – reference: KavrakogluIKiziltanGMultiobjective strategies in power systems planningEur J Oper Res19831215917010.1016/0377-2217(83)90219-9 – reference: LinaresPRomeroCA multiple criteria decision making approach for electricity planning in Spain: economic versus environmental objectivesJ Oper Res Soc200051736743 – reference: Stoll HG (1989) Least-cost electricity utility planning. Wiley, New York – reference: VanderpootenDVinckePDescription and analysis of some representative interactive multicriteria proceduresMath Comput Modell19891210/111221123810.1016/0895-7177(89)90364-6 – volume: 19 start-page: 721 year: 1995 ident: 63_CR4 publication-title: Int J Energy Res doi: 10.1002/er.4440190809 – volume: 28 start-page: 121 year: 1987 ident: 63_CR13 publication-title: Eur J Oper Res doi: 10.1016/0377-2217(87)90211-6 – start-page: 859 volume-title: Multiple criteria decision analysis: state of the art surveys year: 2005 ident: 63_CR9 doi: 10.1007/0-387-23081-5_21 – volume: 6 start-page: 231 year: 1999 ident: 63_CR21 publication-title: Int Trans Oper Res doi: 10.1111/j.1475-3995.1999.tb00153.x – ident: 63_CR34 – volume: 17 start-page: 302 year: 1984 ident: 63_CR27 publication-title: Eur J Oper Res doi: 10.1016/0377-2217(84)90124-3 – volume: 12 start-page: 1221 issue: 10/11 year: 1989 ident: 63_CR31 publication-title: Math Comput Modell doi: 10.1016/0895-7177(89)90364-6 – volume: 9 start-page: 83 year: 1985 ident: 63_CR30 publication-title: Eng Costs Prod Econ doi: 10.1016/0167-188X(85)90013-8 – volume: 19 start-page: 419 year: 1995 ident: 63_CR6 publication-title: Int J Energy Res doi: 10.1002/er.4440190507 – volume: 5 start-page: 49 issue: 1 year: 2001 ident: 63_CR26 publication-title: J Geogr Inf Dec Anal – volume: 7 start-page: 99 year: 2003 ident: 63_CR8 publication-title: Renewable Sustainable Energy Rev doi: 10.1016/S1364-0321(03)00004-2 – volume-title: Multiple objective decision making. Methods and Applications: A state of the art survey. Lecture Notes in Economics and Mathematical Systems year: 1979 ident: 63_CR11 doi: 10.1007/978-3-642-45511-7 – volume: 3 start-page: 305 year: 1996 ident: 63_CR18 publication-title: Int Trans Oper Res doi: 10.1111/j.1475-3995.1996.tb00055.x – volume-title: Multiple criteria optimization. Theory, computation and application year: 1989 ident: 63_CR28 – volume: 49 start-page: 121 year: 1992 ident: 63_CR15 publication-title: Fuzzy Sets Syst doi: 10.1016/0165-0114(92)90318-X – volume: 153 start-page: 370 year: 2003 ident: 63_CR23 publication-title: Eur J Oper Res doi: 10.1016/S0377-2217(03)00159-0 – volume: 56 start-page: 119 year: 1999 ident: 63_CR5 publication-title: J Environ Manage doi: 10.1006/jema.1999.0264 – ident: 63_CR29 – start-page: 153 volume-title: Multiple criteria analysis: operational methods year: 1981 ident: 63_CR33 – volume: 51 start-page: 736 year: 2000 ident: 63_CR16 publication-title: J Oper Res Soc doi: 10.1057/palgrave.jors.2600944 – volume-title: Multiple criteria decision analysis: an integrated approach year: 2002 ident: 63_CR3 doi: 10.1007/978-1-4615-1495-4 – ident: 63_CR19 – ident: 63_CR1 – volume: 19 start-page: 301 year: 1985 ident: 63_CR24 publication-title: Appl Energy doi: 10.1016/0306-2619(85)90004-2 – volume: 30 start-page: 89 year: 2002 ident: 63_CR17 publication-title: Omega doi: 10.1016/S0305-0483(01)00059-7 – volume: 92 start-page: 512 year: 1996 ident: 63_CR25 publication-title: Eur J Oper Res doi: 10.1016/0377-2217(95)00008-9 – volume: 29 start-page: 613 year: 2004 ident: 63_CR2 publication-title: Energy doi: 10.1016/j.energy.2003.10.012 – volume-title: Multiobjective programming and planning year: 1978 ident: 63_CR7 – volume: 12 start-page: 159 year: 1983 ident: 63_CR14 publication-title: Eur J Oper Res doi: 10.1016/0377-2217(83)90219-9 – volume: 36 start-page: 2415 year: 2008 ident: 63_CR22 publication-title: Energy Policy doi: 10.1016/j.enpol.2008.01.011 – volume-title: Energy Decisions and the Environment: A Guide to the Use of Multicriteria Methods year: 2000 ident: 63_CR10 doi: 10.1007/978-1-4615-4477-7 – ident: 63_CR20 doi: 10.1007/0-387-25352-1_8 – volume: 16 start-page: 379 year: 1980 ident: 63_CR12 publication-title: Automatica doi: 10.1016/0005-1098(80)90022-9 – volume: 3 start-page: 391 year: 1982 ident: 63_CR32 publication-title: Math Modell doi: 10.1016/0270-0255(82)90038-0
SSID	ssj0000327848 ssib004298988
Score	1.7878286
Snippet	This paper presents the application of multiple objective linear programming for power generation expansion planning on Milos island. The model considers those...
SourceID	proquest crossref springer
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	109
SubjectTerms	Business and Management Carbon dioxide Computational Intelligence Decision making Demand Electric power Electricity distribution Energy consumption Energy economics Fuzzy logic Fuzzy sets Islands Linear programming Load Management Science Marketing Mathematical models Mathematical programming Maximization Methods Operations Research Operations Research/Decision Theory Original Paper Pollutants Power generation Power supply Studies Sustainability Sustainable development Turbines Variables
SummonAdditionalLinks	– databaseName: ProQuest Central dbid: BENPR link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7BlgM9UJ5iaUFz4ASySGI7yXJBFLUCCVYrBKi3KH6k2gqSbbOLOPHbO-N1dgsSvSBFudhxlHz2PDzjbwCeW6YcKZwSKs-tUE2jRWnTTFhXlpOmoHvg6f72sZhOy5OTySzm5vQxrXKQiUFQu87yHvkrMuxJ3uokebM4F1w0ioOrsYLGTdhhojI1gp3Do-ns81VhWw58XEE0S46zheNxKUcWSl0Okc5wnC6TmpxrDheQ5hb6T121NUD_ipkGVXS8958fcRfuRBsU364nzT244dv7sHuFmfAB_J5x9TQ8DaTUjB36XyQ3eGsNF7HOEc5brOlaLflgRLfqcd5zniSu2aGRU-pPMWQsis6crSUrxoSwH9T2Gsn6REt6FLsGP3FNBfwQhngIX4-Pvrx7L2KpBmElOUQEci09-UZlbnJtcuUT5WuZZKam9tyoNJV1TdZC4dKsqRuX04RIlHTONqmyRstHMGq71j8GJIPQ68KTY2esSpwzyuaO7TavTJFJOYZkAKWykcecy2l8r7YMzIxjRThWjGOlx_Bi88hiTeJxXef9Absqrue-2gA3Bty00kLk6ErdevrF1SQlxU6qg7q8HObHdoB_vu7Jta_bh9tDukKSHsBoebHyT-GW_bmc9xfP4nS_BC8hBSU priority: 102 providerName: ProQuest
Title	Power generation expansion planning in an autonomous island system using multi-objective programming: the case of Milos Island
URI	https://link.springer.com/article/10.1007/s12351-009-0063-5 https://www.proquest.com/docview/871413500 https://www.proquest.com/docview/919909110
Volume	10
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVPQU databaseName: ABI/INFORM Collection customDbUrl: eissn: 1866-1505 dateEnd: 20161231 omitProxy: false ssIdentifier: ssj0000327848 issn: 1109-2858 databaseCode: 7WY dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 1866-1505 dateEnd: 20161231 omitProxy: false ssIdentifier: ssj0000327848 issn: 1109-2858 databaseCode: M0C dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1866-1505 dateEnd: 20161231 omitProxy: false ssIdentifier: ssj0000327848 issn: 1109-2858 databaseCode: M7S dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1866-1505 dateEnd: 20161231 omitProxy: false ssIdentifier: ssj0000327848 issn: 1109-2858 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1866-1505 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000327848 issn: 1109-2858 databaseCode: RSV dateStart: 20010101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3da9RAEB9s64M-1M_Sa_WYB5-UwCa7m-z5pqVFwR5Hq7U-hexHyonNleZOfOrf3pm9pFdFBYWwEHazCTvZ-diZ-Q3AC8eQI4VXicpzl6i61olxaZY4b8yoLqiNON0nH4rx2JyejiZdHnfbR7v3LsnIqVfJbpnUZPryYT7J1USvwQZJO8O78ej45DaDNT0GV2THkn1rMSUuZW-C0ab3bv5u1p_l00rp_MVPGsXPwYP_-vCHsNlpm_hm-Xs8gjuheQz3b2EQPoGrCddJw7MIP81UwvCDOAQfouFFV9EIpw1WdC3mnAIxW7Q4bTkiEpc40MjB82cYYxOTmf265KHYhX6dU99rJD0THUlMnNV4yNUT8H2c4il8Otj_uPcu6YoyJE6S6UPkrGQgK8jkNtc2V0GoUEmR2Yr6c6vSVFYV6QWFT7O6qn1OpBdKeu_qVDmr5RasN7MmbAOS6hd0EciEs04J761yuWcNLShbZFIOQPSkKF2HWM6FM76VK6xlXtqSlrbkpS31AF7ePHKxhOv42-Ddnr5lt3PbkgxIkutaiAHgTS9tOfajVE2gJS5HKYlwEhI05FVP8dUEf3zdzj-N3oV7faCCSJ_B-vxyEZ7DXfd9Pm0vh7BWfP4yhI23--PJEd0dij1ui-Nh3AzXWL7-SQ
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEF5VBQl64I0aSmEOcAGtWHvXjyAhVBWqRk2jHgrqbfE-XAWBHeqEx4V_xH9kZm0nBYneekCyfFnHtjbfznzrmfmGsSeWJEcyp7hKU8tVWSY8t1HMrcvzYZnhOeh0vx9nk0l-cjI8WmO_-loYSqvsbWIw1K629I38BRJ7tLeJEK9nXzg1jaLgat9Bo0XFgf_xDXdszavRG_x7n8bx3tvj3X3eNRXgViJ1x9cppEcWn6cmTUyqvFC-kCI2BY6nRkWRLAr0a5mL4rIoXYqvLpR0zpaRsoaaRKDFv6IUrgbKFBS750173qt_BUcgKaoXivEiimPkSd7HVUPxXiwT3MpTcAJ5Ak_-9IwruvtXhDY4vr2b_9mU3WI3OoYNO-2SuM3WfHWHbZzTXbzLfh5Rbzg4DZLbhEzw39Eq0odDmHVdnGBaQYHHYk5lH_WigWlDWaDQal8DFQycQsjH5LX52PoN6NLdPuPYS0BuDRZZAtQlHFLHCBiFW9xj7y5lAu6z9aqu_CYDpLs-yTxuW41VwjmjbOqIlXplsljKARM9CLTtVNqpWcgnvdKXJtxoxI0m3OhkwJ4tfzJrJUouunirx4rurFWjl0AZMFiOopmh2FFReZxiPYyQtqBjxEue93hc3eCfj3tw4eMes2v7x4djPR5NDrbY9T4xQ0QP2fr8bOG32VX7dT5tzh6FhQbsw2XD9DfZNmAs
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEF5VBSE48EaE8pgDXECr2t71I0gIIUpE1BLlwKOcFu_DVapihzrhceF_8e-YWXuTgkRvPSBFuawfyfrbmW89M98w9tCQ5EhuJZdZZrisqpQXJk64sUUxrHL89jrd7_fyyaTY3x9ON9ivUAtDaZXBJnpDbRtD78i3kdijvU2jaLvqsyKmO6Pn8y-cGkhRoDV00-gQsut-fMPdW_tsvIOP-lGSjF69ffma9w0GuBFI4_GnlcIhoy8ynaU6ky6SrhRRokscz7SMY1GW6ONyGydVWdkM_0YkhbWmiqXR1DACrf-5nGCPSyn_8PGkmS-CEph3CoIifL4wL6aYRpEWIcbqC_kSkeK2ngIVyBl4-qeXXFPfv6K13gmOrvzH03eVXe6ZN7zolso1tuHq6-zSCT3GG-znlHrGwYGX4ibEgvuO1pJeKMK87-4EsxpK_CwXVA7SLFuYtZQdCp0mNlAhwQH4PE3e6MPOn0CfBvcZx54Ccm4wyB6gqeANdZKAsb_ETfbuTCbgFtusm9rdZoA02KW5w-2sNjKyVkuTWWKrTuo8EWLAogAIZXr1dmoicqTWutOEIYUYUoQhlQ7Y49Up80665LSDtwJuVG_FWrUCzYDBahTND8WUytrhFKthjHQGHSYe8iRgc32Bf97uzqm3e8AuIDrV3niyu8UuhnyNKL7LNhfHS3ePnTdfF7P2-L5fc8A-nTVKfwNmUGlJ
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Power+generation+expansion+planning+in+an+autonomous+island+system+using+multi-objective+programming%3A+the+case+of+Milos+Island&rft.jtitle=Operational+research&rft.au=Kourempele%2C+Maria&rft.au=Mavrotas%2C+G.&rft.au=Geronikolou%2C+L.&rft.au=Rozakis%2C+S.&rft.date=2010-05-01&rft.pub=Springer-Verlag&rft.issn=1109-2858&rft.eissn=1866-1505&rft.volume=10&rft.issue=1&rft.spage=109&rft.epage=132&rft_id=info:doi/10.1007%2Fs12351-009-0063-5&rft.externalDocID=10_1007_s12351_009_0063_5
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1109-2858&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1109-2858&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1109-2858&client=summon