Large energy consumption, low self-sufficiency of resources, and weak environmental carrying capacity are the special basic conditions in Jiangsu. The deputy director of the Provincial Economic and Information Committee, Yu Yu-fang, said that the strengthening of resource and environmental constraints is a major outstanding issue in Jiangsu's "12th Five-Year Plan" economic and social development. “From the perspective of resource supply and demand, according to the average annual growth of GDP of the province during the 12th Five-year Plan period of 10% and the intensity of energy consumption in 2010, the province’s energy consumption will reach 400 million tons of standard coal by 2015. At the end of the 11th Five-Year Plan period, a net increase of about 152 million tons will result, and the contradiction between supply and demand for energy resources will be very prominent, said Gu Yufang.
According to reports, the energy consumption per unit of GDP in the province in 2010 was 20.45% lower than in 2005, and it achieved a binding target of 20% reduction in energy consumption per unit of GDP, 1.39 percentage points higher than the national average rate of decline.
Gu Yufang said that during the "12th Five-Year Plan" period, the state issued a "12th Five-Year Plan" energy-saving emission reduction target for Jiangsu Province. Based on 2010, the energy consumption per unit of GDP will drop by 18%. Since the beginning of this year, the province’s energy saving situation in the first half of the year has been generally better than the same period of last year, but the gap between the reduction in energy consumption per unit of GDP and the target of a year-on-year decrease of 3.5% is quite large. At the national level, the barometer of the completion of energy-saving targets in various regions in the first half of the year was announced. Among them, Jiangsu Province was classified as a second-level early warning and first-level early-warning area; the increase in electricity consumption in the province was lower than that in the same period of last year, but it remained at a high level compared with the surrounding provinces and cities.
This year, more than 1,360 home energy companies across the province have been audited for energy use, and equipment and processes have been checked. The provincial Economic and Information Committee also revealed the latest developments yesterday, said Zhang Haiying, a researcher at the provincial energy and energy conservation department. At present, energy-saving special enforcement actions have come to an end. 1,366 key energy-consuming enterprises were inspected. A total of 127 enterprises were found to use 451 backward-state energy-using equipment that were explicitly phased out by the state, and energy consumption indicators of three companies and three product units exceeded regulations. Limits. In the next step, the relevant provincial departments will strengthen the follow-up inspections of these enterprises, supervise the enterprises to take measures as soon as possible to update the backward energy-using equipment, and, in accordance with the requirements of the relevant documents, implement the punitive price for these enterprises in conjunction with the Price Bureau.
According to reports, the energy consumption per unit of GDP in the province in 2010 was 20.45% lower than in 2005, and it achieved a binding target of 20% reduction in energy consumption per unit of GDP, 1.39 percentage points higher than the national average rate of decline.
Gu Yufang said that during the "12th Five-Year Plan" period, the state issued a "12th Five-Year Plan" energy-saving emission reduction target for Jiangsu Province. Based on 2010, the energy consumption per unit of GDP will drop by 18%. Since the beginning of this year, the province’s energy saving situation in the first half of the year has been generally better than the same period of last year, but the gap between the reduction in energy consumption per unit of GDP and the target of a year-on-year decrease of 3.5% is quite large. At the national level, the barometer of the completion of energy-saving targets in various regions in the first half of the year was announced. Among them, Jiangsu Province was classified as a second-level early warning and first-level early-warning area; the increase in electricity consumption in the province was lower than that in the same period of last year, but it remained at a high level compared with the surrounding provinces and cities.
This year, more than 1,360 home energy companies across the province have been audited for energy use, and equipment and processes have been checked. The provincial Economic and Information Committee also revealed the latest developments yesterday, said Zhang Haiying, a researcher at the provincial energy and energy conservation department. At present, energy-saving special enforcement actions have come to an end. 1,366 key energy-consuming enterprises were inspected. A total of 127 enterprises were found to use 451 backward-state energy-using equipment that were explicitly phased out by the state, and energy consumption indicators of three companies and three product units exceeded regulations. Limits. In the next step, the relevant provincial departments will strengthen the follow-up inspections of these enterprises, supervise the enterprises to take measures as soon as possible to update the backward energy-using equipment, and, in accordance with the requirements of the relevant documents, implement the punitive price for these enterprises in conjunction with the Price Bureau.
a multiplexer (or mux) is a device that selects one of several analog or digital input signals and forwards the selected input into a single line.[1] A multiplexer of 2n inputs has ⌈n⌉ select lines, which are used to select which input line to send to the output.[2] Multiplexers are mainly used to increase the amount of data that can be sent over the network within a certain amount of time and bandwidth.[1] A multiplexer is also called a data selector. Multiplexers can also be used to implement Boolean functions of multiple variables.
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