with a greater relative elevation difference for
planning. In regions with abundant water resources
but difficult to construct, such as karst landscapes, it
is possible to explore the utilization of naturally
existing water bodies to build open-type pumped
storage hydropower systems. The parallel connection
of more generator sets can significantly enhance
energy storage density.
(2) Pumped storage hydropower can be integrated
with a wide range of renewable energy systems to
build a comprehensive green energy system. Green
energy sources such as hydropower, wind power, and
solar power all exhibit significant diurnal and annual
fluctuations. As a well-tested energy storage
technology, pumped storage hydropower can store
excess energy produced during high-production
seasons of these technologies. As an essential energy
storage facility in the power system, pumped storage
hydropower plants play a crucial role in peak shaving,
valley filling, and optimizing resource allocation.
Improving their energy conversion efficiency is
crucial, as it directly affects the economic and
environmental performance of the power stations. To
address this issue, the introduction of more efficient
turbines and generator sets is the most significant
solution, while more rational hydraulic design can
also contribute to reducing energy losses to a certain
extent.
(3) Additionally, pumped storage hydropower
plants require higher flexibility and response speed.
To achieve this, the introduction of intelligent
monitoring and automated control systems becomes
essential. These systems can monitor the real-time
operating status of the power plants and automatically
adjust operating strategies based on grid demand,
ensuring the stability and reliability of power supply.
5 CONCLUSION
This study analyzes and calculates the theoretical
calculation model of technical indicators related to
pumped storage hydropower (PSH) technology and
its practical applications in China and the United
States. The typical energy conversion efficiency of
PSH technology is approximately 80%, with an
energy density mostly less than 1W/m³. The service
life of its facilities is around 40 years, and with proper
maintenance and upgrades, they can have an even
longer lifespan. PSH technology is widely used due
to its long facility lifespan, reliable operation, and
relatively simple maintenance. However, its energy
density and energy conversion efficiency are
relatively low. Among the existing facilities in China
and the United States, Chinese PSH facilities tend to
have higher energy conversion efficiency due to their
newer construction and the adoption of more efficient
turbine units and generators. In terms of service life,
many PSH units built in the early stages in the United
States have reached their design life, but after mid-
life extension and upgrades, they can continue to
operate.
For the future application of PSH technology, it is
necessary to select more suitable locations, which can
be combined with the development of land
consolidation technology in recent years. Building
PSH facilities in regions such as karst landforms,
where construction was difficult in the past but have
significant topographic drops and abundant
hydropower resources, can significantly increase
energy density. At the same time, selectively
replacing older turbine units and generators for some
older PSH facilities and systemizing their
maintenance work can result in higher facility
lifespan and energy conversion efficiency.
This study fills the gap in the comparison of
quantitative indicator data between related projects in
China and the United States in PSH research,
providing a reference for subsequent cross-country
comparisons of similar energy storage technologies.
This research will be beneficial for researchers in new
energy and energy storage technologies who require
quantitative calculation formulas and specific data for
studying PSH. But this study focuses on providing
relatively simple quantitative calculations, thus
ignoring the influence of some hydraulic
characteristics on turbine units, resulting in larger
errors in the calculated energy density under small
runoff or some extreme conditions. In subsequent
research, more variables will be introduced to provide
a more accurate calculation method or relevant
correction coefficients.
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