A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Korea
DC Field | Value | Language |
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dc.contributor.author | Ko, Woong | - |
dc.contributor.author | Park, Jong-Keun | - |
dc.contributor.author | Kim, Mun Kyeom | - |
dc.contributor.author | Heo, Jae-Haeng | - |
dc.date.available | 2019-03-08T07:56:48Z | - |
dc.date.issued | 2017-10 | - |
dc.identifier.issn | 1996-1073 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3881 | - |
dc.description.abstract | Multi-energy systems can integrate heat and electrical energy efficiently, using resources such as cogeneration. In order to meet energy demand cost-effectively in a multi-energy system, adopting appropriate energy resources at the right time is of great importance. In this paper, we propose an expansion planning method for a multi-energy system that supplies heat and electrical energy. The proposed approach formulates expansion planning as a mixed integer linear programming (MILP) problem. The objective is to minimize the sum of the annualized cost of the multi-energy system. The candidate resources that constitute the cost of the multi-energy system are fuel-based power generators, heat-only boilers, a combined heat and power (CHP) unit, energy storage resources, and a renewable electrical power source. We use a load-energy curve, instead of a load-duration curve, for constructing the optimization model, which is subsequently linearized using a Douglas-Peucker algorithm. The residual load-energy curve, for utilizing the renewable electrical power source, is also linearized. This study demonstrates the effectiveness of the proposed method through a comparison with a conventional linearization method. In addition, we evaluate the cost and planning schedules of different case studies, according to the configuration of resources in the multi-energy system. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Korea | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/en10101663 | - |
dc.identifier.bibliographicCitation | ENERGIES, v.10, no.10 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000414578400218 | - |
dc.identifier.scopusid | 2-s2.0-85032211388 | - |
dc.citation.number | 10 | - |
dc.citation.title | ENERGIES | - |
dc.citation.volume | 10 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | multi-energy system | - |
dc.subject.keywordAuthor | mixed integer linear programming | - |
dc.subject.keywordAuthor | energy expansion planning | - |
dc.subject.keywordAuthor | combined heat and power | - |
dc.subject.keywordAuthor | renewable electrical power source | - |
dc.subject.keywordPlus | GAS | - |
dc.subject.keywordPlus | FUTURE | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | GENERATION | - |
dc.subject.keywordPlus | MILP | - |
dc.subject.keywordPlus | HUB | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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