Recent research published in the International Journal of Electrical Power & Energy Systems delves into the optimization of cooperative operations among internet data centers (IDCs) in China, particularly in light of the country’s ambitious carbon neutrality goals. The study, led by Xiaoou Liu from the China Power Engineering Consulting Group, proposes a novel cooperative operation optimization method for a network of IDCs, emphasizing the importance of diversified flexibility in their operations.
As the internet data center sector expands rapidly, the need for sustainable and efficient energy use becomes increasingly critical. The research highlights how IDCs can leverage their complementary strengths through a cooperative structure that allows for electricity and carbon trading among members. This approach not only aims to reduce operational costs but also to minimize carbon emissions, aligning with China’s environmental targets.
The study introduces a diversified flexibility model that incorporates advanced technologies such as carbon capture and power-to-gas systems. By utilizing these technologies, IDCs can optimize their energy consumption and carbon output, ultimately contributing to a lower carbon footprint. Liu notes, “The diversified flexibility and the electricity and carbon trading between members can effectively reduce the total cost and carbon emissions of the alliance.” This is particularly significant as companies increasingly seek ways to enhance their sustainability credentials while managing operational expenses.
To facilitate this cooperative optimization, the research employs Nash bargaining theory, which helps in fairly distributing the benefits of cooperation based on each member’s electrical carbon contribution rate. This model not only incentivizes participation among IDCs but also ensures that the environmental impact is equitably shared. Liu states, “The cooperation benefits distribution strategy based on the electrical carbon contribution rate can effectively enhance the enthusiasm of members to participate in the alliance.”
The practical application of this research was tested in a demonstration project known as “East Data and West Computing” in Qingyang, Gansu, China. The trial run results confirmed the theoretical analysis, showcasing the method’s effectiveness in real-world scenarios. The study also highlights an improved alternating direction multiplier method that enhances solution convergence while safeguarding the privacy of each participating IDC.
For stakeholders in the energy and technology sectors, this research opens up significant commercial opportunities. Companies involved in renewable energy, carbon capture technologies, and energy efficiency solutions may find a growing market as IDCs look to adopt these innovative practices. Additionally, as regulatory frameworks increasingly favor low-carbon operations, IDCs that implement these cooperative strategies could gain a competitive edge.
In summary, the findings from Liu’s research present a promising pathway for internet data centers to operate more sustainably and cost-effectively. By embracing cooperative optimization and diversified flexibility, IDCs can not only contribute to national carbon reduction goals but also position themselves strategically in a rapidly evolving energy landscape.
