Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach
•Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness...
Saved in:
| Published in: | Applied energy Vol. 258; p. 114022 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
15.01.2020
|
| Subjects: | |
| ISSN: | 0306-2619, 1872-9118 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | •Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness of the proposed approach.
This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations. |
|---|---|
| AbstractList | This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations. •Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in the ports.•Proposed a set of Smart Port Index metrics to assess the port performance.•Barbours Cut terminal case study showed the effectiveness of the proposed approach. This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating sustainable value through purposeful planning. We focus on demonstrating how a set of Smart Port Index (SPI) metrics can be incorporated into the port microgrid planning process in the proposed framework to holistically improve the smartness of the port. A two-stage stochastic mixed-integer programming model is developed to explain how the use of microgrid at a port can effectively enhance the port’s performance in four key activity domains: operations, environment, energy, safety and security under operation uncertainty. The proposed model consists of an investment master problem on the first stage and a multi-objective operation planning subproblem on the second stage. Benders decomposition is implemented for solving the two-stage stochastic model, and Lexicographic Goal Programming is applied to the subproblem to deal with multiple objectives. Simulation results, compared with the minimum cost planning approach, indicate that the proposed framework is capable of guaranteeing an improvement in productivity, sustainability, and reliability of port operations. |
| ArticleNumber | 114022 |
| Author | Molavi, Anahita Wu, Yiwei Lim, Gino J. Shi, Jian |
| Author_xml | – sequence: 1 givenname: Anahita surname: Molavi fullname: Molavi, Anahita email: amolavi@uh.edu organization: Department of Industrial Engineering, University of Houston, United States – sequence: 2 givenname: Jian orcidid: 0000-0001-5777-3678 surname: Shi fullname: Shi, Jian email: jshi23@central.uh.edu organization: Department of Engineering Technology, University of Houston, United States – sequence: 3 givenname: Yiwei surname: Wu fullname: Wu, Yiwei email: ywu41@uh.edu organization: Department of Industrial Engineering, University of Houston, United States – sequence: 4 givenname: Gino J. surname: Lim fullname: Lim, Gino J. email: ginolim@central.uh.edu organization: Department of Industrial Engineering, University of Houston, United States |
| BookMark | eNqFkE9rGzEUxEVIoI7br1B0zGUd_dnVWqGHhuCmgUAuzVk8aZ_XMrvSRpJb8u27rttLLz4ND2bmMb9rchliQEI-c7bijKvb_QomDJj695VgXK84r5kQF2TB162oNOfrS7JgkqlKKK4_kOuc94wxwQVbkH4TwA4-9DSPkAqdYiqZll2Kh343K1IfCvYJio-Bxi0dvUuxT77Ld_Sell-xygV6pLlEt4NcvKPT0QDjeGyFab7A7T6Sqy0MGT_91SV5_bb58fC9en55fHq4f66c1LJUtoWm5mu0upHYdKqpO8mg6RhqrhG0VtJBa5XVaDsA3La2W3NrnQVVoxJySW5OvfPbtwPmYkafHQ4DBIyHbIRsRC1ayZrZ-uVknQflnHBrnC9_dpYEfjCcmSNfszf_-JojX3PiO8fVf_Ep-Znh-_ng11MQZw4_PSaTncfgsPMJXTFd9OcqfgMvbZ6j |
| CitedBy_id | crossref_primary_10_1049_rpg2_12401 crossref_primary_10_1108_JM2_03_2021_0071 crossref_primary_10_1016_j_ocecoaman_2022_106318 crossref_primary_10_1016_j_ress_2020_106977 crossref_primary_10_1007_s40815_024_01897_8 crossref_primary_10_1111_itor_13027 crossref_primary_10_1016_j_apenergy_2025_125451 crossref_primary_10_3390_en13051255 crossref_primary_10_1016_j_engappai_2025_112127 crossref_primary_10_1051_ro_2025098 crossref_primary_10_1080_03088839_2023_2248985 crossref_primary_10_1016_j_tre_2023_103098 crossref_primary_10_2478_ttj_2021_0026 crossref_primary_10_1016_j_energy_2020_118571 crossref_primary_10_1016_j_aei_2024_102391 crossref_primary_10_1016_j_apenergy_2021_116892 crossref_primary_10_1016_j_rser_2023_113243 crossref_primary_10_1016_j_ijepes_2023_109316 crossref_primary_10_1177_21582440251363339 crossref_primary_10_3390_systems11020088 crossref_primary_10_1016_j_epsr_2024_110297 crossref_primary_10_1057_s41278_022_00211_3 crossref_primary_10_1007_s40866_024_00218_0 crossref_primary_10_1016_j_apenergy_2024_124990 crossref_primary_10_1016_j_ijepes_2024_109937 crossref_primary_10_1016_j_epsr_2024_111191 crossref_primary_10_1007_s00500_022_06898_z crossref_primary_10_1016_j_scs_2025_106485 crossref_primary_10_1108_MABR_12_2023_0083 crossref_primary_10_1016_j_energy_2021_121840 crossref_primary_10_24006_jilt_2021_19_3_133 crossref_primary_10_1016_j_esr_2021_100727 crossref_primary_10_1002_advs_202306574 crossref_primary_10_1016_j_apenergy_2021_118386 crossref_primary_10_1016_j_scs_2021_102801 crossref_primary_10_1016_j_apenergy_2020_115188 crossref_primary_10_1080_03088839_2025_2506632 crossref_primary_10_1016_j_apenergy_2022_118856 crossref_primary_10_1016_j_egyr_2024_05_053 crossref_primary_10_3390_en13205314 crossref_primary_10_3389_fenrg_2023_1120636 crossref_primary_10_1109_TSG_2020_3003244 crossref_primary_10_1016_j_segan_2025_101978 crossref_primary_10_3390_math11173674 crossref_primary_10_1016_j_simpat_2023_102747 crossref_primary_10_1016_j_scs_2022_103709 crossref_primary_10_3390_su17010153 crossref_primary_10_1016_j_ijhydene_2025_150202 crossref_primary_10_3390_su14084551 crossref_primary_10_3390_en18081941 crossref_primary_10_3390_su152015019 crossref_primary_10_3390_su16093636 crossref_primary_10_1016_j_susoc_2021_04_002 crossref_primary_10_1109_ACCESS_2021_3081430 crossref_primary_10_1109_ACCESS_2022_3142810 crossref_primary_10_1016_j_apenergy_2022_118821 crossref_primary_10_1109_TITS_2023_3340125 crossref_primary_10_3390_su142114014 crossref_primary_10_1016_j_procs_2022_07_123 crossref_primary_10_1016_j_susoc_2025_05_003 crossref_primary_10_3390_land12040901 crossref_primary_10_3390_logistics8010028 crossref_primary_10_1007_s11356_023_25403_z |
| Cites_doi | 10.1109/TIA.2015.2461176 10.1016/j.apenergy.2008.12.026 10.1109/ACCESS.2019.2899293 10.1109/MPAE.2007.376583 10.1109/MELE.2016.2544203 10.1109/TPWRS.2014.2361094 10.1016/j.apenergy.2016.02.053 10.1109/TSTE.2017.2763605 10.1109/CoDIT.2018.8394778 10.1109/EEEIC.2018.8494428 10.1109/TDC.2016.7520030 10.1016/j.apenergy.2018.07.114 10.1080/10485236.2017.11907880 10.1109/TPWRS.2015.2513395 10.1016/j.tre.2018.06.003 10.1109/TPWRS.2017.2768302 10.1016/j.conbuildmat.2013.01.023 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd |
| Copyright_xml | – notice: 2019 Elsevier Ltd |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.apenergy.2019.114022 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Environmental Sciences |
| EISSN | 1872-9118 |
| ExternalDocumentID | 10_1016_j_apenergy_2019_114022 S030626191931709X |
| GroupedDBID | --K --M .~1 0R~ 1B1 1~. 1~5 23M 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAHCO AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AARJD AAXUO ABJNI ABMAC ABYKQ ACDAQ ACGFS ACRLP ADBBV ADEZE ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHIDL AHJVU AIEXJ AIKHN AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BELTK BJAXD BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FIRID FNPLU FYGXN G-Q GBLVA IHE J1W JARJE JJJVA KOM LY6 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 ROL RPZ SDF SDG SES SPC SPCBC SSR SST SSZ T5K TN5 ~02 ~G- 9DU AAHBH AAQXK AATTM AAXKI AAYWO AAYXX ABEFU ABFNM ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS FEDTE FGOYB G-2 HVGLF HZ~ R2- SAC SEW WUQ ZY4 ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c393t-b7a5418eb953e5d654d30a5d0e919ea9963ca7b6b9ebdaaef7bd81bbcba64e623 |
| ISICitedReferencesCount | 73 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000506575100023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0306-2619 |
| IngestDate | Mon Sep 29 06:24:01 EDT 2025 Sat Nov 29 07:20:49 EST 2025 Tue Nov 18 21:42:04 EST 2025 Fri Feb 23 02:48:35 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Smart ports Ports Maritime transportation Microgrid Renewable energy Sustainability |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c393t-b7a5418eb953e5d654d30a5d0e919ea9963ca7b6b9ebdaaef7bd81bbcba64e623 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0001-5777-3678 |
| PQID | 2352427305 |
| PQPubID | 24069 |
| ParticipantIDs | proquest_miscellaneous_2352427305 crossref_citationtrail_10_1016_j_apenergy_2019_114022 crossref_primary_10_1016_j_apenergy_2019_114022 elsevier_sciencedirect_doi_10_1016_j_apenergy_2019_114022 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-01-15 |
| PublicationDateYYYYMMDD | 2020-01-15 |
| PublicationDate_xml | – month: 01 year: 2020 text: 2020-01-15 day: 15 |
| PublicationDecade | 2020 |
| PublicationTitle | Applied energy |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Rosenthal RE. GAMS: A Users Guide, 2016. GAMS Development Corporation, Washington, DC, USA. Khayatian A, Barati M, Lim GJ. Market-based and resilient coordinated microgrid planning under uncertainty. In: 2016 IEEE/PES transmission and distribution conference and exposition (T D); May 2016. p. 1–5. Binti Ahamad NB, Guerrero JM, Su C, Vasquez JC, Zhaoxia X. Microgrids technologies in future seaports. In: 2018 IEEE international conference on environment and electrical engineering and 2018 IEEE industrial and commercial power systems Europe (EEEIC/ I CPS Europe); June 2018. p. 1–6. Bernacchi R. Shore-to-ship power & Smart Ports; April 2017. Retrieved from Petermann T, Bradke H, Lullmann A, Poetzsch M, Riehm U. What Happens during a Blackout: Consequences of a Prolonged and Wide-Ranging Power Outage. BoD-Books on Demand; 2014. Jin, Sulligoi, Cuzner, Meng, Vasquez, Guerrero (b0095) 2016; 4 Sreedharan, Farbes, Cutter, Woo, Wang (b0090) 2016; 169 GAMS Development Corporation. Scenred, 2002. Retrieved from Khodaei, Bahramirad, Shahidehpour (b0135) 2015; 30 Port of Houston. Annual Report 2017 - Year in Review, 2017. Retrieved from Molavi, Lim, Race (b0005) 2019 Burger A. Port of Los Angeles Microgrid Project Nears Finish Line; 2018. Retrieved from [accessed April 13, 2019]. IBM. CPLEX Optimizer, 2008. Retrieved from Ahmadian, Tang, Malki, Han (b0100) 2019; 7 Jones, Tamiz (b0125) 2010 Tweed K. Can Rotterdam’s Port Become a Virtual Power Plant?; 2013. Retrieved from EcoDesign. Solar Radiation Data: Houston, TX. Retrieved from Page BM. Port of San Diego to Install a Solar-Powered Microgrid with $5 Million Grant from California Energy Commission; 2018. Retrieved from Eastern Research Group. 2013 Goods Movement Air Emissions Inventory; March 2017. Shavuka, Awodele, Chowdhury, Chowdhury (b0170) 2010 Smythe TC. Assessing the Impacts of Hurricane Sandy on the Port of New York and New Jersey’s Maritime Responders and Response infrastructure. Natural Hazards Center; 2013. Wu, Barati, Lim (b0145) 2018 Muni-Fed Antea Group Energy Partners, LLC and The Port of Long Beach. Microgrid Technology White Paper-Port of Long Beach; August 2016. Retrieved from Khayatian, Barati, Lim (b0185) 2017; 33 Khooban, Dragicevic, Blaabjerg, Delimar (b0085) 2018; 9 [accessed April 15, 2019]. Shahidehpour M, Clair JF. A functional microgrid for enhancing reliability, sustainability, and energy efficiency. Wu, Zeng, Zhang, Zhou (b0155) 2016; 31 World Weather and Climate Information. Average Wind Speed in Houston (Texas). Retrieved from Ahmadian S, Malki H, Sadat AR. Modeling time of use pricing for load aggregators using new mathematical programming with equality constraints. In: 2018 5th International conference on control, decision and information technologies (CoDIT); April 2018. p. 38–44. Torkjazi, Huynh, Shiri (b0060) 2018; 116 Mancarella, Chicco (b0070) 2009; 86 Kruschwitz, Loffler (b0130) 2006 Parise, Parise, Martirano, Chavdarian, Su, Ferrante (b0020) 2015; 52 CenterPoint Energy. Reliability Indexes. Retrieved from Grover-Silva, Heleno, Mashayekh, Cardoso, Girard, Kariniotakis (b0120) 2018; 229 [accessed April 18, 2019]. Ahamad, Othman, Vasquez, Guerrero, Su (b0065) 2018 Misra, Venkataramani, Gowrishankar, Ayyasam, Ramalingam (b0075) 2017; 37 McKay, Beckman, Conover (b0180) 1979; 21 Hatziargyriou, Asano, Iravani, Marnay (b0010) 2007; 5 Turner, Collins (b0115) 2013; 43 10.1016/j.apenergy.2019.114022_b0105 10.1016/j.apenergy.2019.114022_b0045 10.1016/j.apenergy.2019.114022_b0165 10.1016/j.apenergy.2019.114022_b0025 Shavuka (10.1016/j.apenergy.2019.114022_b0170) 2010 10.1016/j.apenergy.2019.114022_b0200 Molavi (10.1016/j.apenergy.2019.114022_b0005) 2019 Sreedharan (10.1016/j.apenergy.2019.114022_b0090) 2016; 169 Kruschwitz (10.1016/j.apenergy.2019.114022_b0130) 2006 Ahmadian (10.1016/j.apenergy.2019.114022_b0100) 2019; 7 McKay (10.1016/j.apenergy.2019.114022_b0180) 1979; 21 Khayatian (10.1016/j.apenergy.2019.114022_b0185) 2017; 33 10.1016/j.apenergy.2019.114022_b0140 10.1016/j.apenergy.2019.114022_b0040 Ahamad (10.1016/j.apenergy.2019.114022_b0065) 2018 Parise (10.1016/j.apenergy.2019.114022_b0020) 2015; 52 Jin (10.1016/j.apenergy.2019.114022_b0095) 2016; 4 10.1016/j.apenergy.2019.114022_b0080 Torkjazi (10.1016/j.apenergy.2019.114022_b0060) 2018; 116 10.1016/j.apenergy.2019.114022_b0160 Khodaei (10.1016/j.apenergy.2019.114022_b0135) 2015; 30 10.1016/j.apenergy.2019.114022_b0015 Wu (10.1016/j.apenergy.2019.114022_b0145) 2018 Hatziargyriou (10.1016/j.apenergy.2019.114022_b0010) 2007; 5 10.1016/j.apenergy.2019.114022_b0055 10.1016/j.apenergy.2019.114022_b0110 10.1016/j.apenergy.2019.114022_b0035 Turner (10.1016/j.apenergy.2019.114022_b0115) 2013; 43 Mancarella (10.1016/j.apenergy.2019.114022_b0070) 2009; 86 Misra (10.1016/j.apenergy.2019.114022_b0075) 2017; 37 Jones (10.1016/j.apenergy.2019.114022_b0125) 2010 Wu (10.1016/j.apenergy.2019.114022_b0155) 2016; 31 Grover-Silva (10.1016/j.apenergy.2019.114022_b0120) 2018; 229 10.1016/j.apenergy.2019.114022_b0030 10.1016/j.apenergy.2019.114022_b0195 Khooban (10.1016/j.apenergy.2019.114022_b0085) 2018; 9 10.1016/j.apenergy.2019.114022_b0150 10.1016/j.apenergy.2019.114022_b0175 10.1016/j.apenergy.2019.114022_b0190 10.1016/j.apenergy.2019.114022_b0050 |
| References_xml | – reference: World Weather and Climate Information. Average Wind Speed in Houston (Texas). Retrieved from < – reference: Petermann T, Bradke H, Lullmann A, Poetzsch M, Riehm U. What Happens during a Blackout: Consequences of a Prolonged and Wide-Ranging Power Outage. BoD-Books on Demand; 2014. – reference: Khayatian A, Barati M, Lim GJ. Market-based and resilient coordinated microgrid planning under uncertainty. In: 2016 IEEE/PES transmission and distribution conference and exposition (T D); May 2016. p. 1–5. – volume: 5 start-page: 78 year: 2007 end-page: 94 ident: b0010 article-title: Microgrids publication-title: IEEE Power Energ Mag – year: 2006 ident: b0130 article-title: Discounted cash flow: a theory of the valuation of firms – reference: Eastern Research Group. 2013 Goods Movement Air Emissions Inventory; March 2017. – volume: 33 start-page: 3634 year: 2017 end-page: 3643 ident: b0185 article-title: Integrated microgrid expansion planning in electricity market with uncertainty publication-title: IEEE Trans Power Syst – volume: 21 start-page: 239 year: 1979 end-page: 245 ident: b0180 article-title: Comparison of three methods for selecting values of input variables in the analysis of output from a computer code publication-title: Technometrics – volume: 116 start-page: 208 year: 2018 end-page: 228 ident: b0060 article-title: Truck appointment systems considering impact to drayage truck tours publication-title: Transp Res Part E: Logist Transp Rev – year: 2018 ident: b0145 article-title: A pool strategy of microgrid in power distribution electricity market publication-title: IEEE Trans Power Syst – reference: Bernacchi R. Shore-to-ship power & Smart Ports; April 2017. Retrieved from < – volume: 7 start-page: 27376 year: 2019 end-page: 27388 ident: b0100 article-title: Modelling cyber attacks on electricity market using mathematical programming with equilibrium constraints publication-title: IEEE Access – reference: > [accessed April 13, 2019]. – start-page: 1043 year: 2018 end-page: 1048 ident: b0065 article-title: Optimal sizing and performance evaluation of a renewable energy based microgrid in future seaports publication-title: 2018 IEEE international conference on industrial technology (ICIT) – reference: CenterPoint Energy. Reliability Indexes. Retrieved from < – reference: IBM. CPLEX Optimizer, 2008. Retrieved from < – volume: 9 start-page: 843 year: 2018 end-page: 852 ident: b0085 article-title: Shipboard microgrids: a novel approach to load frequency control publication-title: IEEE Trans Sustain Energy – volume: 30 start-page: 2417 year: 2015 end-page: 2425 ident: b0135 article-title: Microgrid planning under uncertainty publication-title: IEEE Trans Power Syst – reference: EcoDesign. Solar Radiation Data: Houston, TX. Retrieved from < – volume: 52 start-page: 18 year: 2015 end-page: 24 ident: b0020 article-title: Wise port and business energy management: port facilities, electrical power distribution publication-title: IEEE Trans Ind Appl – reference: Burger A. Port of Los Angeles Microgrid Project Nears Finish Line; 2018. Retrieved from < – volume: 4 start-page: 45 year: 2016 end-page: 57 ident: b0095 article-title: Next-generation shipboard DC power system: introduction smart grid and DC microgrid technologies into maritime electrical networks publication-title: IEEE Electrif Mag – start-page: 1 year: 2010 end-page: 6 ident: b0170 article-title: Application of predictive reliability analysis techniques in distribution networks publication-title: In 45th international universities power engineering conference UPEC Aug 2010 – year: 2010 ident: b0125 article-title: Practical goal programming – year: 2019 ident: b0005 article-title: A framework for building a smart port and smart port index publication-title: Int J Sustain Transp – reference: Smythe TC. Assessing the Impacts of Hurricane Sandy on the Port of New York and New Jersey’s Maritime Responders and Response infrastructure. Natural Hazards Center; 2013. – reference: Rosenthal RE. GAMS: A Users Guide, 2016. GAMS Development Corporation, Washington, DC, USA. – reference: GAMS Development Corporation. Scenred, 2002. Retrieved from < – reference: > [accessed April 18, 2019]. – reference: Binti Ahamad NB, Guerrero JM, Su C, Vasquez JC, Zhaoxia X. Microgrids technologies in future seaports. In: 2018 IEEE international conference on environment and electrical engineering and 2018 IEEE industrial and commercial power systems Europe (EEEIC/ I CPS Europe); June 2018. p. 1–6. – reference: Page BM. Port of San Diego to Install a Solar-Powered Microgrid with $5 Million Grant from California Energy Commission; 2018. Retrieved from < – volume: 169 start-page: 709 year: 2016 end-page: 720 ident: b0090 article-title: Microgrid and renewable generation integration: university of California, San Diego publication-title: Appl Energy – volume: 43 start-page: 125 year: 2013 end-page: 130 ident: b0115 article-title: Carbon dioxide equivalent (co2-e) emissions: a comparison between geopolymer and opc cement concrete publication-title: Constr Build Mater – volume: 229 start-page: 201 year: 2018 end-page: 208 ident: b0120 article-title: A stochastic optimal power flow for scheduling flexible resources in microgrids operation publication-title: Appl Energy – volume: 31 start-page: 4185 year: 2016 end-page: 4196 ident: b0155 article-title: A solution to the chance-constrained two-stage stochastic program for unit commitment with wind energy integration publication-title: IEEE Trans Power Syst – reference: Ahmadian S, Malki H, Sadat AR. Modeling time of use pricing for load aggregators using new mathematical programming with equality constraints. In: 2018 5th International conference on control, decision and information technologies (CoDIT); April 2018. p. 38–44. – reference: > [accessed April 15, 2019]. – reference: Shahidehpour M, Clair JF. A functional microgrid for enhancing reliability, sustainability, and energy efficiency. – reference: Tweed K. Can Rotterdam’s Port Become a Virtual Power Plant?; 2013. Retrieved from < – reference: Muni-Fed Antea Group Energy Partners, LLC and The Port of Long Beach. Microgrid Technology White Paper-Port of Long Beach; August 2016. Retrieved from < – volume: 86 start-page: 2096 year: 2009 end-page: 2106 ident: b0070 article-title: Global and local emission impact assessment of distributed cogeneration systems with partial-load models publication-title: Appl Energy – reference: Port of Houston. Annual Report 2017 - Year in Review, 2017. Retrieved from < – volume: 37 start-page: 17 year: 2017 end-page: 32 ident: b0075 article-title: Renewable energy based smart microgrids-a pathway to green port development publication-title: Strateg Plan Energy Environ – volume: 52 start-page: 18 issue: 1 year: 2015 ident: 10.1016/j.apenergy.2019.114022_b0020 article-title: Wise port and business energy management: port facilities, electrical power distribution publication-title: IEEE Trans Ind Appl doi: 10.1109/TIA.2015.2461176 – volume: 86 start-page: 2096 issue: 10 year: 2009 ident: 10.1016/j.apenergy.2019.114022_b0070 article-title: Global and local emission impact assessment of distributed cogeneration systems with partial-load models publication-title: Appl Energy doi: 10.1016/j.apenergy.2008.12.026 – volume: 7 start-page: 27376 year: 2019 ident: 10.1016/j.apenergy.2019.114022_b0100 article-title: Modelling cyber attacks on electricity market using mathematical programming with equilibrium constraints publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2899293 – ident: 10.1016/j.apenergy.2019.114022_b0045 – ident: 10.1016/j.apenergy.2019.114022_b0160 – volume: 5 start-page: 78 issue: 4 year: 2007 ident: 10.1016/j.apenergy.2019.114022_b0010 article-title: Microgrids publication-title: IEEE Power Energ Mag doi: 10.1109/MPAE.2007.376583 – volume: 4 start-page: 45 issue: 2 year: 2016 ident: 10.1016/j.apenergy.2019.114022_b0095 article-title: Next-generation shipboard DC power system: introduction smart grid and DC microgrid technologies into maritime electrical networks publication-title: IEEE Electrif Mag doi: 10.1109/MELE.2016.2544203 – ident: 10.1016/j.apenergy.2019.114022_b0030 – start-page: 1043 year: 2018 ident: 10.1016/j.apenergy.2019.114022_b0065 article-title: Optimal sizing and performance evaluation of a renewable energy based microgrid in future seaports – ident: 10.1016/j.apenergy.2019.114022_b0175 – start-page: 1 year: 2010 ident: 10.1016/j.apenergy.2019.114022_b0170 article-title: Application of predictive reliability analysis techniques in distribution networks – volume: 30 start-page: 2417 issue: 5 year: 2015 ident: 10.1016/j.apenergy.2019.114022_b0135 article-title: Microgrid planning under uncertainty publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2014.2361094 – volume: 21 start-page: 239 issue: 2 year: 1979 ident: 10.1016/j.apenergy.2019.114022_b0180 article-title: Comparison of three methods for selecting values of input variables in the analysis of output from a computer code publication-title: Technometrics – ident: 10.1016/j.apenergy.2019.114022_b0035 – ident: 10.1016/j.apenergy.2019.114022_b0195 – volume: 169 start-page: 709 year: 2016 ident: 10.1016/j.apenergy.2019.114022_b0090 article-title: Microgrid and renewable generation integration: university of California, San Diego publication-title: Appl Energy doi: 10.1016/j.apenergy.2016.02.053 – ident: 10.1016/j.apenergy.2019.114022_b0165 – ident: 10.1016/j.apenergy.2019.114022_b0040 – volume: 9 start-page: 843 issue: 2 year: 2018 ident: 10.1016/j.apenergy.2019.114022_b0085 article-title: Shipboard microgrids: a novel approach to load frequency control publication-title: IEEE Trans Sustain Energy doi: 10.1109/TSTE.2017.2763605 – ident: 10.1016/j.apenergy.2019.114022_b0015 doi: 10.1109/CoDIT.2018.8394778 – year: 2018 ident: 10.1016/j.apenergy.2019.114022_b0145 article-title: A pool strategy of microgrid in power distribution electricity market publication-title: IEEE Trans Power Syst – ident: 10.1016/j.apenergy.2019.114022_b0080 doi: 10.1109/EEEIC.2018.8494428 – ident: 10.1016/j.apenergy.2019.114022_b0105 doi: 10.1109/TDC.2016.7520030 – volume: 229 start-page: 201 year: 2018 ident: 10.1016/j.apenergy.2019.114022_b0120 article-title: A stochastic optimal power flow for scheduling flexible resources in microgrids operation publication-title: Appl Energy doi: 10.1016/j.apenergy.2018.07.114 – ident: 10.1016/j.apenergy.2019.114022_b0025 – ident: 10.1016/j.apenergy.2019.114022_b0050 – year: 2010 ident: 10.1016/j.apenergy.2019.114022_b0125 – volume: 37 start-page: 17 issue: 2 year: 2017 ident: 10.1016/j.apenergy.2019.114022_b0075 article-title: Renewable energy based smart microgrids-a pathway to green port development publication-title: Strateg Plan Energy Environ doi: 10.1080/10485236.2017.11907880 – ident: 10.1016/j.apenergy.2019.114022_b0140 – volume: 31 start-page: 4185 issue: 6 year: 2016 ident: 10.1016/j.apenergy.2019.114022_b0155 article-title: A solution to the chance-constrained two-stage stochastic program for unit commitment with wind energy integration publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2015.2513395 – volume: 116 start-page: 208 year: 2018 ident: 10.1016/j.apenergy.2019.114022_b0060 article-title: Truck appointment systems considering impact to drayage truck tours publication-title: Transp Res Part E: Logist Transp Rev doi: 10.1016/j.tre.2018.06.003 – year: 2019 ident: 10.1016/j.apenergy.2019.114022_b0005 article-title: A framework for building a smart port and smart port index publication-title: Int J Sustain Transp – volume: 33 start-page: 3634 issue: 4 year: 2017 ident: 10.1016/j.apenergy.2019.114022_b0185 article-title: Integrated microgrid expansion planning in electricity market with uncertainty publication-title: IEEE Trans Power Syst doi: 10.1109/TPWRS.2017.2768302 – ident: 10.1016/j.apenergy.2019.114022_b0190 – ident: 10.1016/j.apenergy.2019.114022_b0150 – ident: 10.1016/j.apenergy.2019.114022_b0055 – volume: 43 start-page: 125 year: 2013 ident: 10.1016/j.apenergy.2019.114022_b0115 article-title: Carbon dioxide equivalent (co2-e) emissions: a comparison between geopolymer and opc cement concrete publication-title: Constr Build Mater doi: 10.1016/j.conbuildmat.2013.01.023 – year: 2006 ident: 10.1016/j.apenergy.2019.114022_b0130 – ident: 10.1016/j.apenergy.2019.114022_b0200 – ident: 10.1016/j.apenergy.2019.114022_b0110 |
| SSID | ssj0002120 |
| Score | 2.5444777 |
| Snippet | •Proposed a holistic process for optimized microgrid integration at maritime ports.•Evaluated the benefits of microgrid adoption in addressing challenges in... This paper explores microgrids’ application at ports and presents a systematic framework for evaluating the benefits of microgrid integration in creating... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 114022 |
| SubjectTerms | energy Maritime transportation Microgrid planning Ports Renewable energy Smart ports stochastic processes Sustainability uncertainty |
| Title | Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach |
| URI | https://dx.doi.org/10.1016/j.apenergy.2019.114022 https://www.proquest.com/docview/2352427305 |
| Volume | 258 |
| WOSCitedRecordID | wos000506575100023&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-9118 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002120 issn: 0306-2619 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Nb9MwFLfKxgEOEwymjTFkJG5VShrHScytmsqgmiYkhugtshOny7QmVZt2O_DH8xzbSTY-xg5c0sqNraTvl_fhvPd7CL2LhpmbgZvgcJdkjk-y0BEQaDiRzxWbVcCpqElcT8Ozs2g6ZV96vR-2FmZzFRZFdHPDFv9V1DAGwlalsw8Qd7MoDMB3EDocQexw_CfBj1U1VL1LMIdf-_qVgG3Ho9xMyxBhXMW5SsmbLfN0pavUq-vSAZdxpqhny-SCKyJnm8Y1r0saDQ1516-1zqysSwkbKULcvMl13iS_yKvGBHytWwn3Jx1sfl_X1iC_lrkdOtWdnk_youxPBt39CU-luTm6QtPWZbmBo-K0rs71NF-70ZoQk7m6OvkXha73Fi4HfKFvQCXjsUE74TaD9h3L1uQb2lS2y9iuE6t1Yr3OI7TthZSBWt8efR5PJ40l9wytp72DToX576_oT87NHTNf-y7nz9COCTrwSIPlOerJYhc97VBR7qK9cVvxCKcalb96gWYWT7jGE67xhA2e4FPiDp5wmeEWTx_wCDdowi2acAdN2KLpJfr2cXx-_Mkx3TmchDBSwSPNqT-MpGCUSJoG1E-Jy2nqSjZkkkMcTRIeikAwKVLOZRaKFGIkkQge-BK87j20VZSF3Ec4pD5oDOERIqUPpwhJXDH0syhVzRaEe4Co_VvjxFDXqw4qV_HfBXuA3jfzFpq85d4ZzEotNi6odi1jAOS9c99aMcego9WLN17Icr2KPYhyfIgTXPrqwVd0iJ60T9VrtFUt1_IIPU42Vb5avjGI_Qn5NLtJ |
| linkProvider | Elsevier |
| 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=Enabling+smart+ports+through+the+integration+of+microgrids%3A+A+two-stage+stochastic+programming+approach&rft.jtitle=Applied+energy&rft.au=Molavi%2C+Anahita&rft.au=Shi%2C+Jian&rft.au=Wu%2C+Yiwei&rft.au=Lim%2C+Gino+J.&rft.date=2020-01-15&rft.issn=0306-2619&rft.volume=258&rft.spage=114022&rft_id=info:doi/10.1016%2Fj.apenergy.2019.114022&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_apenergy_2019_114022 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0306-2619&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0306-2619&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0306-2619&client=summon |