AI serves energy transformation and creates low-carbon competitiveness
"In more than 30 years of comprehensive energy exploration, we have innovated a new paradigm of 'energy +AI' energy and carbon intelligent transformation, and have slowly figured out a way to build the autonomous driving core of the modern energy system." On September 12, at the new energy, carbon, digital and intelligent product launch conference titled "Intelligent Drive Energy Future, Building Green Dreams Together", Cheng Lu, vice president of NEI Energy and president of NEI Pan-Energy Network, said that with the Pan-Energy simulation system as the core, By integrating energy technology with new technologies such as big data, artificial intelligence and the Internet of Things, traditional energy management has been given new connotations and the intelligent capabilities of real-time monitoring and self-adjustment of energy management have been greatly improved.
Currently, AI technology has accelerated the energy transformation process in many aspects, such as optimizing energy production and consumption, promoting the integration of renewable energy, and promoting the development of smart grids. In addition, AI technology also plays an important role in monitoring and managing carbon emissions. Through AI analysis, companies can better understand their carbon footprint and optimize their production processes to reduce carbon emissions. As the global energy system is about to enter a period of rapid transformation and my country's "double carbon" goal is strongly driven, various domestic enterprises, especially high-energy-consuming enterprises, have promoted the co-evolution of energy transformation and AI with effective policy mechanisms and key technological breakthroughs. It has become a timely and urgent move.
Mining the value of energy data in traditional industries
"A medium-sized printing and dyeing factory produces about 250 million meters of cloth every year, and its energy cost is 40 million yuan, of which heat cost accounts for nearly 50%. However, due to low energy supply quality and extensive management, heat losses are about 10%, costing up to 2 million yuan. At the same time, due to high pollution, lack of green product labels, and low carbon ratings, the export of printing and dyeing products is also facing EU carbon tariffs, which has a greater impact on order volume." said Wang Zun, chief product officer (CPO) of Xinao Panenergy Network.
It is understood that the printing and dyeing industry mainly adopts the process of indirect steam heating of dye liquor, which is difficult to control. On the one hand, indirect heating and controlling the steam flow are used to carry out dyeing, which brings waste of resources. On the other hand, the cloth heating and cooling process is caused to conform to the process curve. The degree is not high, which in turn affects the printing and dyeing yield, resulting in a large amount of waste of manpower, raw materials, time and energy.
"We give priority to the dyeing vat equipment, achieve extreme control of the temperature, and match the temperature with the process, so that we can obtain products that meet the standards at the highest cost performance." Wang Zun said. Pan-energy network intelligent control of industrial dye tanks utilizes energy-carbon intelligent control all-in-one machine and micro-combustor plus dye tanks to achieve intelligent upgrades of online and offline integration. During operation, more than 30 cloth dyeing processes accumulated in the simulation system can be called to form a basic strategy, and the five-stage combustion adjustment method of the burner can be changed into a temperature control with an accuracy higher than 0.1 degrees. Basically maintaining a heating accuracy of about 1 ° C per minute, so that the heating process fully conforms to the standard process curve required for material dyeing, greatly reducing material waste.
According to reports, the industrial dye vat intelligent control technology uses cyclic intelligent algorithms to sense, predict, analyze and optimize execution to achieve the lowest production unit consumption, optimal temperature matching, and high yield. It not only brings low-carbon green products, but also It can disclose the carbon footprint, which can increase the primary finished product rate by 5%-10% and management efficiency by 70%; save production costs by 25%, reduce carbon emissions by 450 tons/dye vat/year, achieving a win-win situation for economic and environmental benefits.
Not only in the textile printing and dyeing industry, at the press conference, Fanneng launched HVAC intelligent control products for HVAC scenarios of public buildings. By deeply integrating the operating mechanism of the HVAC system with intelligent control algorithms, the quality of cooling and heating has been improved by 30%, while bringing an additional 15% average energy saving rate, and reducing personnel, maintenance and hosting operating costs by 30%.
"In the future, agile construction and block-based assembly should be used to help mine the data value of the entire chain and entire business in different scenarios, and ultimately form a digital technology space. With the development of new informatization such as cloud, large, material, mobile, intelligence, and chain, the development of technology has gradually formed a digital space that integrates reality and reality." Zhang Kuiye, deputy secretary-general of the "Double Carbon" Industry Cooperation Branch of the China Energy Research Association and deputy general manager of China Energy Network, said.
Help new energy be more controllable and efficient application
"After delivery and debugging are completed, customers can operate manually like using the 'autonomous driving system'." Wang Zun said that you can interact with intelligent control through the virtual assistant 'Energy Carbon Smart Partner' provided in the cloud; in daily work, you can also "control the whole situation with one machine" through the Paneneng mobile APP. From the perspective of managers, unified energy services, especially the integration of multiple scenarios such as industrial and commercial energy storage, optical storage integration, direct and flexible optical storage, microgrids, and virtual power plants, are an effective means for the efficient operation of the park.
It is understood that among 90% of optical storage projects in domestic parks, the operating service entities are independent operations, and there is a cross-impact on investors 'optical storage income and corporate electricity consumption. At the same time, the power load in optical storage projects is uncontrollable, and the photovoltaic power generation capacity is unknown. In addition, since most of the energy storage charging and discharging strategies are fixed according to the peak and valley periods of local electricity prices, energy storage equipment is also difficult to adjust, which is a popular application in traditional parks. Energy applications bring difficulties.
"Can the optimization of the integration of electricity, light and storage achieve a win-win situation for different roles? The answer is actually yes, but why has it not been achieved? Because the load in the park is uncontrollable, it is difficult to know about photovoltaics, and energy storage is not easy to adjust." Wang Zun said that through Heguang Storage's smart operation products, the second-level data response capabilities, exceeding 95% prediction capabilities, 15-minute rolling strategy optimization capabilities, minute-level security control capabilities, and multi-objective collaborative optimization capabilities are "packaged and integrated" to promote win-win interests for both parties.
According to reports, the Pan-Energy Network's smart operation products do not need to replace the owner's original photovoltaic energy storage and user-side systems. The load system, photovoltaic system, and energy storage system are comprehensively monitored and continuously adjusted to achieve an increase of 30% to 50%. Management efficiency and the final effect of increasing the comprehensive income of the project by 5% to 15%
"Industrial transformation is not the result of one company. Massive ecology, massive users, and massive data will help form a smarter energy and carbon industry model." Cheng Lu called for facing the future of the stars and the broad picture of energy intelligence, to get out of the "inner curl", move towards new productive forces, and move towards a better energy tomorrow.
