Shuo Gao

Feb 24, 2025 | rmi.org | Shuo Gao |Yi Jiang |Yujing Liu |Jun Xie

2024 Annual Report By Shuo Gao, Yi Jiang, Yujing Liu, Jun Xie Download the report below Ongoing power market reforms and improvements to green power procurement mechanisms have continued to boost China’s green power market. This rapid expansion has strengthened the foundation for corporations to leverage green power and Green Electricity Certificates (GECs) to meet both domestic and international compliance requirements. The report evaluates five green power procurement options within the...

Nov 6, 2024 | nature.com | Mingquan Li |Qingyuan Ma |Rui Shan |Ahmed Abdulla |Edgar Virgüez |Shuo Gao | +1 more

Renewable energy is essential for power system decarbonization, but extended and unexpected periods of extremely low wind and solar resources (i.e., wind and solar droughts) pose a threat to reliability. The challenge is further exacerbated if shortages of the two occur simultaneously or if they affect neighboring grids simultaneously. Here we present a framework to characterize these events and propose three metrics to comprehensively assess renewable energy quality: resource availability, variability, and extremeness. An examination of long-term data across a vast geographical region shows a strong spatial correlation and temporal coincidence of renewable energy droughts. It also finds a lack of sites that excel in all three quality attributes, which presents a trilemma to investors, system planners, and policymakers. These findings underscore the significance of considering factors beyond mere resource availability and contribute to developing informed strategies for the reliable and sustainable deployment of variable energy resources. The introduction of indicators such as availability, variability, and extremeness significantly alter our understanding of renewable energy quality, posing a challenge for investors, system planners, and policymakers, according to results from a statistical framework and time-series data analysis.

Jul 26, 2024 | nature.com | Renlu Qiao |Shuo Gao |Xiaochang Liu |Li Xia |Guobin Zhang |Zhiyu Liu | +4 more

Amid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the national level. The study delves into the nonlinear effects of hydrological risks on migration dynamics in 46,776 global subnational units. Meanwhile, leveraging remote sensing, we procured globally consistent metrics of hydrological intrusion exposure, offering a holistic risk assessment encompassing hazard, exposure, and vulnerability dimensions, thus complementing previous work. Here, we show that exposure is the primary migration driver, surpassing socioeconomic factors. Surrounding disparities further intensified exposure’s impact. Vulnerable groups, especially the economically disadvantaged and elderly, tend to remain in high-risk areas, with the former predominantly migrating within proximate vicinities. The nonlinear analysis delineates an S-shaped trajectory for hydrological exposure, transitioning from resistance to migration and culminating in entrapment, revealing dependence on settlement resilience and adaptability. Hydrological risks drive migration more than socioeconomic factors. Vulnerable groups often stay in high-risk areas or migrate nearby. The study reveals an S-shaped migration pattern influenced by settlement resilience and adaptability.