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Article: Optimal Planning of Islanded Integrated Energy System with Solar-Biogas Energy Supply

TitleOptimal Planning of Islanded Integrated Energy System with Solar-Biogas Energy Supply
Authors
Keywordssolar-biogas system
Optimal planning of integrated energy system
two-stage MILP
anaerobic digestion
Issue Date2020
Citation
IEEE Transactions on Sustainable Energy, 2020, v. 11, n. 4, p. 2437-2448 How to Cite?
Abstract© 2010-2012 IEEE. Renewable-based integrated energy system (IES) is considered a viable energy supply alternative in many off-grid and remote regions of the world. However, high costs of islanded IESs with large-size batteries challenge further deployments of IESs. Considering the variable nature of renewable energy and distinctive characteristics of abundant biomass energy in remote regions, this article proposes a distributed solar-biogas residential IES, which can supply thermal, electrical and gas loads in remote locations, and utilize the complementarity nature of solar and biogas energy for reducing the dependency of IES on battery storage system. The proposed IES planning model, formulated as a two-stage MILP problem, is solved by the Benders Decomposition (BD) method to determine the optimal capacity of each component in IES planning. According to the proposed sensitivity analyses, load levels and feedstock prices have a substantial influence on investment decisions and total cost. The article also incorporates the thermodynamic effect of temperature on anaerobic digestions and illustrates the complementary economic and technical merits of solar and biogas energy in daily IES operations. Illustrative examples show the corresponding IES advantages on investment cost reduction and peak load shaving.
Persistent Identifierhttp://hdl.handle.net/10722/297367
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.364
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Canbing-
dc.contributor.authorYang, Hanyu-
dc.contributor.authorShahidehpour, Mohammad-
dc.contributor.authorXu, Zhenci-
dc.contributor.authorZhou, Bin-
dc.contributor.authorCao, Yijia-
dc.contributor.authorZeng, Long-
dc.date.accessioned2021-03-15T07:33:37Z-
dc.date.available2021-03-15T07:33:37Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Sustainable Energy, 2020, v. 11, n. 4, p. 2437-2448-
dc.identifier.issn1949-3029-
dc.identifier.urihttp://hdl.handle.net/10722/297367-
dc.description.abstract© 2010-2012 IEEE. Renewable-based integrated energy system (IES) is considered a viable energy supply alternative in many off-grid and remote regions of the world. However, high costs of islanded IESs with large-size batteries challenge further deployments of IESs. Considering the variable nature of renewable energy and distinctive characteristics of abundant biomass energy in remote regions, this article proposes a distributed solar-biogas residential IES, which can supply thermal, electrical and gas loads in remote locations, and utilize the complementarity nature of solar and biogas energy for reducing the dependency of IES on battery storage system. The proposed IES planning model, formulated as a two-stage MILP problem, is solved by the Benders Decomposition (BD) method to determine the optimal capacity of each component in IES planning. According to the proposed sensitivity analyses, load levels and feedstock prices have a substantial influence on investment decisions and total cost. The article also incorporates the thermodynamic effect of temperature on anaerobic digestions and illustrates the complementary economic and technical merits of solar and biogas energy in daily IES operations. Illustrative examples show the corresponding IES advantages on investment cost reduction and peak load shaving.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Sustainable Energy-
dc.subjectsolar-biogas system-
dc.subjectOptimal planning of integrated energy system-
dc.subjecttwo-stage MILP-
dc.subjectanaerobic digestion-
dc.titleOptimal Planning of Islanded Integrated Energy System with Solar-Biogas Energy Supply-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSTE.2019.2958562-
dc.identifier.scopuseid_2-s2.0-85093530442-
dc.identifier.volume11-
dc.identifier.issue4-
dc.identifier.spage2437-
dc.identifier.epage2448-
dc.identifier.eissn1949-3037-
dc.identifier.isiWOS:000571777300036-
dc.identifier.issnl1949-3029-

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