A Multi-Energy System Expansion Planning Method Using a Linearized Load-Energy Curve: A Case Study in South Koreaopen access
- Authors
- Ko, Woong; Park, Jong-Keun; Kim, Mun Kyeom; Heo, Jae-Haeng
- Issue Date
- Oct-2017
- Publisher
- MDPI AG
- Keywords
- multi-energy system; mixed integer linear programming; energy expansion planning; combined heat and power; renewable electrical power source
- Citation
- ENERGIES, v.10, no.10
- Journal Title
- ENERGIES
- Volume
- 10
- Number
- 10
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3881
- DOI
- 10.3390/en10101663
- ISSN
- 1996-1073
- 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.
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