Core Viewpoint - The wastewater treatment industry in China is undergoing a significant transformation from single pollution control to a collaborative approach of pollution reduction and carbon emission reduction, emphasizing green development and low-carbon technologies [1][5][6]. Industry Overview - The wastewater treatment sector is crucial for environmental infrastructure and water pollution management, and it is also a significant source of carbon emissions [1]. - Recent advancements in technology, including big data and AI, have led to notable improvements in industrial water treatment processes [1][6]. Project Highlights - The Ordos City Mengsu Economic Development Zone Water Resource Reclamation Plant is the first photovoltaic wastewater zero-discharge project in China, with a daily processing capacity of 100,000 tons and a reuse rate of 95% [2][3]. - The project generates approximately 6 million kWh of green electricity annually, equivalent to saving 1,968 tons of standard coal and reducing carbon dioxide emissions by 5,983 tons [3]. - A second water treatment plant is under construction in Ordos to support local industries such as photovoltaic and cloud computing, with a processing scale of 72,000 cubic meters per day [3]. Technological Innovations - The wastewater treatment industry is shifting towards energy-efficient and low-carbon technologies, including optimized biological treatment processes and the integration of photovoltaic power generation [6]. - The use of advanced technologies aims to achieve energy self-sufficiency within treatment facilities, contributing to a greener and more sustainable operation [6]. Policy and Industry Trends - The Chinese government has implemented various policies to promote the green transformation of the wastewater treatment industry, encouraging technological innovation for collaborative pollution reduction and carbon emission efficiency [5]. - The industry is moving from traditional methods that increase energy consumption and carbon emissions to more sustainable practices that balance treatment efficiency with environmental impact [5][6].
减污降碳协同绿色发展 AI大数据赋能我国工业水处理
Yang Guang Wang·2025-07-31 08:47