1. Data centre flexibility for renewable integration
The Sino-German Energy Transition Project implementing partners dena and GIZ worked together with the Electric Power Planning and Engineering Institute (EPPEI) and experts from the North China Electric Power University and Greenpeace East Asia on technical options and business models for data centres to participate in the power market and deploy their flexibility and overall sector coupling potential. Researchers have conducted interviews with data centres, grid operators, and academics in China and Germany to identify the current situation and challenges. Based on the interviews, the researchers can identify best practices and share recommendations for improved policy and market conditions.
Report | Data centre flexibility in Germany and China - English
Report | Data centre flexibility in Germany and China - Chinese
Authors: Katerina Simou, dena; Corina Bolintineanu, dena
Contributors: Anders Hove, GIZ China; Dr. Peter Radgen, University of Stuttgart; Ye Ruiqi, Greenpeace East Asia; Zhang Sufang, North China Electric Power University
Video | Data Centre Flexibility in Germany and China: Results from an Interview-based study
Podcast | experts discuss their joint research of data center flexibility in China and Europe
2. Integrating energy efficiency and demand side flexibility in the industry
The analysis aims to identify and evaluate the interdependencies between energy efficiency and demand side flexibility (DSF) in the industry and highlight best practices in Germany and China. The analysis will inform the development of an approach for an “efficient system optimum” that helps regulators prioritize measures of improving energy efficiency and exploiting DSF potentials in different industrial sectors.
The interdependencies between energy efficiency and DSF in the industry are not yet thoroughly researched, but are important for an efficient system optimum and for regulators to design policy instruments accordingly. With this analysis we cover the research gapby developing a concept for integrating the requirements of improving energy efficiency and exploiting DSF potentials in the industry (efficient system optimum), by analysing the profitability of DSF for end users, and by making proposals for suitable policy instruments for promoting energy efficiency and DSF in the industry.
Report | A comparative Analysis and Simulation of DSM and Energy Efficiency in Chinese and German Industry (English)
Report | A comparative Analysis and Simulation of DSM and Energy Efficiency in Chinese and German Industry (Chinese)
Authors: Dr. Philip Schnaars, Tobias Sprenger, Patricia Wild, Julian Keutz, Institute of Energy Economics at the University of Cologne gGmbH (EWI)
Tool | DSM_EE_Simulation_ EN
Tool | DSM_EE_Simulation_ CN
3. A quantitative comparative study of power system flexibility in Jing-Jin-Ji and Germany
In this report, A Quantitative Comparative Study of Power System Flexibility in Jing-Jin-Ji and Germany, researchers at the Energy Research Institute of NDRC and the North China Power University used five metrics to quantify flexibility in Germany versus Jing-Jin-Ji—the region comprising Beijing, Tianjin, and Hebei, altogether has a larger population and electricity load than Germany. The five metrics are the Loss-of-Load-Probability (LOLP), the probability of insufficient downward flexibility, the probability of insufficient upward flexibility, and the curtailment rate of wind and solar. We used historical data to ensure reliability, though future analysis will likely consider projected data as well.
The overall results show that the Jing-Jin-Ji region of China lacks the flexibility of Germany’s power system. In particular, North Hebei has a relatively high loss-of-load-probability (LOLP), in both winter and summer, as well as lacking downward flexibility in both seasons. This inflexibility contributes directly to curtailment of renewable energy.
Report | A quantitative comparative study of power system flexibility in Jing-Jin-Ji and Germany
Authors: Zheng Yanan, Wang Xinnan, Anders Hove, Li Gengyin, Guo Zheyu
Key Findings | Quantifying power sector flexibility in Germany and China’s Jing-Jin-Ji region, for better integration of renewables