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Optimal Design on Fossil-to-Renewable Energy Transition of Regional Integrated Energy Systems under $CO_{2}$ Emission Abatement Control: A Case Study in Dalian, China
Content Provider | MDPI |
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Author | Liu, Xinxin Li, Nan Liu, Feng Mu, Hailin Li, Longxi Liu, Xiaoyu |
Copyright Year | 2021 |
Description | Optimal design of regional integrated energy systems (RIES) offers great potential for better managing energy sources, lower costs and reducing environmental impact. To capture the transition process from fossil fuel to renewable energy, a flexible RIES, including the traditional energy system (TES) based on the coal and biomass based distributed energy system (BDES), was designed to meet a regional multiple energy demand. In this paper, we analyze multiple scenarios based on a new rural community in Dalian (China) to capture the relationship among the energy supply cost, increased share of biomass, system configuration transformation, and renewable subsidy according to regional $CO_{2}$ emission abatement control targets. A mixed integer linear programming (MILP) model was developed to find the optimal solutions. The results indicated that a 40.58% increase in the share of biomass in the RIES was the most cost-effective way as compared to the separate TES and BDES. Based on the RIES with minimal cost, by setting a $CO_{2}$ emission reduction control within 40%, the RIES could ensure a competitive total annual cost as compared to the TES. In addition, when the reduction control exceeds 40%, a subsidy of 53.83 to 261.26 RMB/t of biomass would be needed to cover the extra cost to further increase the share of biomass resource and decrease the $CO_{2}$ emission. |
Starting Page | 2879 |
e-ISSN | 19961073 |
DOI | 10.3390/en14102879 |
Journal | Energies |
Issue Number | 10 |
Volume Number | 14 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-05-17 |
Access Restriction | Open |
Subject Keyword | Energies Industrial Engineering Regional Integrated Energy System Energy System Transition Co2 Emission Abatement Control Biomass Distributed Energy System Mixed Integer Linear Programming Renewable Energy Subsidy |
Content Type | Text |
Resource Type | Article |