2022 6th International Conference on Wireless Communications and Applications (ICWCAPP) 2022
DOI: 10.1109/icwcapp57292.2022.00068
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Electricity Carbon Emission Trading Market Mechanism Based on Blockchain Technology

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Cited by 2 publications
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“…Formula: RQ,t E is the carbon emission reduction quota in year t ; ERQ T is the total amount of carbon emission reduction quota in year t ; 1, 1 t C  is the overall carbon emission intensity in year t ; and GCP,t A is the GDP in year t . Equation (1) is the carbon emission reduced in each year during the Fourteenth Five-Year Plan period, and Equation ( 2) is the total carbon emission reduced.…”
Section: Free Carbon Allowance Methodology For Electricity Consumptionmentioning
confidence: 99%
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“…Formula: RQ,t E is the carbon emission reduction quota in year t ; ERQ T is the total amount of carbon emission reduction quota in year t ; 1, 1 t C  is the overall carbon emission intensity in year t ; and GCP,t A is the GDP in year t . Equation (1) is the carbon emission reduced in each year during the Fourteenth Five-Year Plan period, and Equation ( 2) is the total carbon emission reduced.…”
Section: Free Carbon Allowance Methodology For Electricity Consumptionmentioning
confidence: 99%
“…Combined with the ex-ante carbon rights pre-storage pooling method for the coordinated operation of the electricitycarbon market, a set of support systems to support the coordinated interaction of electricity-carbon market data is needed. At present, domestic power trading system informationization suppliers have carried out relevant research and development work [1], and put forward the interaction scheme of electricity-carbon market data synergy from the level of power dispatching system. This paper combines the real-time characteristics of the real-time power market, the electricity consumption transaction and regulation response transaction clearing result information sent to the carbon trading system to obtain the electricity user electricity carbon emissions, and then accounting for the per capita carbon quota of the electricity user, and finally obtain the electricity carbon right benefit and cost result data.…”
Section: Introductionmentioning
confidence: 99%