Optimization scheduling strategy of high energy-consumption industrial park participation in green certificate trading and carbon emission trading

Abstract

Electrolytic aluminum production has been one of high energy consuming industries. It still relies on fossil-fired units and has a serious problem of carbon emissions. The transformation of high energy-consuming industrial park (HEIP) to low-carbon economy is imminent. New opportunity is bought by the coupling of green certificate trading (GCT) and carbon emission trading (CET) provides for HEIP to participate in power and carbon markets. Therefore, this paper proposes an optimization scheduling strategy for HEIP participating in both GCT and CET. Firstly, the operational characteristics of carbon capture power plant (CCPP) with flue gas bypass and liquid storage tank were studied. The advantage of CCPP was also analyzed. Secondly, the entire process of electrolytic aluminum production was introduced, along with its demand response model. Then, the correlation mechanism between GCT and CET was studied, in order to promote energy conservation and emission reduction in HEIP. On this basis, an optimal dispatch model for HEIP was established based on distributionally robust chance constraint (DRCC). The uncertainty risk in both sources and loads can be quantified by conditional value at risk (CVaR). Finally, the effectiveness of the proposed strategy was verified by Baotou Aluminum Industry “source-network-load-storage integrated project”. The results would contribute to reducing the carbon emissions and total cost of HEIP, and improving renewable energy utilization capacity. It has extendable and utility value to low-carbon economy development of HEIP.