·Carbon trading must not take the old road of fuel consumption supervision
At present, the Ministry of Industry and Information Technology is publicly seeking opinions on the “Regulations on the Administration of New Energy Vehicle Production Enterprises and Product Access (Revising the Draft for Soliciting Opinions)â€, and the National Development and Reform Commission has issued the “Measures for the Management of Carbon Equities for New Energy Vehicles (Draft for Comment)â€. An official of the former Ministry of Machinery said that the Ministry of Industry and Information Technology, the Ministry of Finance, and the National Development and Reform Commission have formulated policies from the three directions of fuel consumption management, points system, and carbon trading. If rules and standards are not unified at the beginning, policies will be implemented more than the emission standard upgrade process. There are still many problems in the process, and the effect of energy saving and emission reduction is also difficult." Wheel Loader,Powerful Weichai Engine,Powerful Changchai Engine,Construction Machinery Miliscorp Industry Ltd , https://www.mctowercrane.com
According to the "Energy Conservation and New Energy Vehicle Industry Development Plan (2012-2020)" requirements: In 2015, the average fuel consumption of passenger cars produced in that year fell to 6.9 liters/100 kilometers. By 2020, the average fuel consumption of passenger cars produced in that year fell to 5 liters/100 kilometers. In 2015, the Ministry of Industry and Information Technology released the “Management Measures for Average Fuel Consumption of Passenger Vehicle Enterprises (Draft)â€, which required the establishment of a fuel consumption management system based on points management and rewarded and punished, which will establish a “enterprise average fuel consumption point management platformâ€. ", manage the enterprise points account. New energy vehicles will play a big role in reducing the average fuel consumption of enterprises.
According to media reports, in October this year, the National Development and Reform Commission will start the allocation of carbon allowances in the national carbon market, and complete the allocation of all quotas in the first quarter or second quarter of 2017. After the initial stage of the national carbon market before 2020, the threshold will be reduced to expand the carbon market into enterprises, and carbon taxes will be imposed on emissions companies outside the carbon market system. Before the year 2020, it will be the first stage of the national carbon market. The participating enterprises cover eight major industries such as petrochemicals and steel. According to the requirements of the State Council, the quotas for new energy vehicles will also be included in the management of the carbon market. That is to say, the carbon trading of new energy vehicles will be carried out on the platform of the national carbon market, and it is unclear whether the average fuel consumption of enterprises is included in the carbon market.
Carbon emissions or points system is only a spur to the whole, not the entire content of emissions or fuel consumption management. The core problem is that the government's regulatory functions cannot be replaced by carbon trading mechanisms or point systems. According to the regulations, the fuel consumption data of the Ministry of Industry and Information Technology was detected by a third party. However, in 2014, “3.15†broke out a number of incidents in which vehicle companies collectively falsified fuel consumption data, including adjusting the engine system of the vehicle, replacing the tires, and testing the process. Release water, etc.
In fact, fuel consumption or emissions fraud, in the strict supervision of Europe and the United States are endless, indicating that the supervision is extremely difficult, and how China can do this supervision work is also very challenging. One of the possible ways is big data. Some organizations use the fuel consumption record of 700,000 car owners, relying on the scientific big data statistics algorithm, and released the fuel consumption data analysis of nearly 8,000 models of more than 300 cities above the prefecture level in the whole country in 2015. The fuel consumption curve of the same model is different. The area and season are different, which means that the detection of fuel consumption is more complicated, but big data will provide an average level, and you will find models with abnormal fuel consumption. If there are more samples, the reference value for government regulation may be higher.