Details

Autor(en) / Beteiligte

• Wang, Jianhui
• Mao, Jiangwei
• Hao, Ruhai
• Li, Shoudong
• Bao, Guangqing

Titel

Multi-energy coupling analysis and optimal scheduling of regional integrated energy system

Ist Teil von

• Energy (Oxford), 2022-09, Vol.254, p.124482, Article 124482

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Two novel integrated models for power-to-gas (P2G) with carbon capture system (CCS) and hydrogen fuel cell (HFC) are proposed to further reduce the carbon emission of the integrated energy system (IES). First, a joint operation framework on the strength of P2G with CCS and HFC (PCH) is proposed. Then, based on PCH, two modeling and analysis methods of ‘setting gas with heat (SGWH)' and ‘setting energy with carbon (SEWC)' are proposed, under which two new integration models are established PCH under the SGWH (PCH_SGWH) and PCH under the SEWC (PCH_SEWC), and their electricity, heat, gas, and carbon coupling characteristics are analyzed. Finally, coupled with combined heat and power (CHP), gas boiler (GB), and energy storage (ES), an IES low-carbon economic dispatch model considering a carbon trading mechanism is constructed. The contribution of PCH and PCH_SGWH and PCH_SEWC to low-carbon operation is compared and verified by setting multiple operational scenarios. The simulation results show that compared with IES without PCH, IES with PCH_SGWH, and IES with PCH_SEWC can comprehensively improve the low-carbon economy of IES from the perspectives of wind power absorption, carbon generation, emission, and operating cost. Among them, IES with PCH_SEWC shows better performance, which can increase the wind power absorption rate by 21.96%, reduce carbon production and carbon emissions by 21.25% and 64.4%, and reduce operating costs by 44.7%. •A joint operational framework of P2G with CCS and HFC (PCH) is proposed.•The PCH_SGWH model and the PCH_SEWC model are established, and the energy coupling analysis is carried out, respectively.•Both models can promote renewable energy adaptation and reduce CO2 emissions, but the PCH_SEWC model works better.•Carbon price tipping point found. Above this point, PCH_SEWC will show a lower cost growth rate as the carbon price increases.