Operational Security in 100% Inverter-Based Power Systems: Experiences from Hawai‘i
The integration of renewable generation in electrical power systems is exponentially increasing for multiple reasons. First, a fast decarbonization of the electrical energy system is a critical milestone to slow climate change and facilitate the decarbonization of other energy sectors, such as transportation and heat. Second, renewable generation from wind and solar have become much cheaper compared to conventional sources like gas, coal, and nuclear. Third, renewable generation is in many cases decentralized, which increases the resilience of the energy system, for example, in the face of natural disasters.
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Utility-Scale Shared Energy Storage: Business Models for Utility-Scale Shared Energy Storage Systems and Customer Participation
Due to climate change, supply scarcity, and society’s desire to expand access to electricity and improve energy-system resilience, there has been an increasing demand to invest in and use renewable energy sources (RESs) that are environmentally friendly, efficient, sustainable, and affordable. This has diversified and decentralized energy sources and increased their penetration.
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Multi-Energy Microgrids: Designing, Operation Under New Business Models, and Engineering Practices in China
With the global awareness of climate change and environmental problems, major powers over the world have set their goals to contribute to a low-carbon society. China announced the target of “carbon peak and carbon neutrality,” requiring a cleaner, carbonfree, economic, and sustainable energy system. To this end, there are two promising approaches. The first is to increase the penetration of clean energies, such as wind power and photovoltaics (PVs). This can reduce carbon emissions effectively.
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Enable a Carbon Efficient Power Grid via Minimal Uplift Payments
The COVID-19 has slowed down global economic growth. Meanwhile, it also significantly cuts the global carbon emission, which provides a golden opportunity for the whole world to combat the climate change together. While the former policies (e.g., the CAFE standards, renewable portfolio standards, etc.) have reduced certain level of fossil fuel consumption, the most effective measures (such as carbon tax, cap-and-trade programs) are still far from ready for global implementation. This paper investigates an alternative way to achieve a more carbon efficient power grid using the uplift payment scheme.
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Islanding Detection of Grid-Forming Inverters: Mechanism, Methods, and Challenges
Over the past decades, because of boosted energy demands and the serious concerns of climate change, inverter-based resources (IBRs) have been widely deployed to integrate renewable energy into power systems for the goal of carbon neutrality. Thanks to the full controllability of power electronic devices, IBRs have the capability to implement reliable and flexible power regulation, which makes them technically feasible for enhancing the resilience and energy efficiency of power systems.
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The Fragile Grid: The Physics and Economics of Security Services in Low-Carbon Power Systems
Worldwide, there are unstoppable forces toward low-carbon power systems that can support the fight against climate change and help solve the security of supply issues in many countries. Low-carbon grids are likely to be characterized by substantial renewable energy sources, both centralized and distributed, combined with intelligent and dynamic demand-side technology and multisector electrification (including heating, transport, and future fuels). In this context, successfully resolving the “affordability-sustainability-reliability” energy trilemma is crucial for paving the way to low-carbon energy futures.
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Latin American Energy Markets: Investment Opportunities in Nonconventional Renewables
Latin America is very rich from the point of view of its varied energy resources, with an abundance of hydroelectric generation and large reserves of fossil fuels. At present, although there is a general awareness of climate change issues associated with fossil fuel use, the facts show that economic needs over the short and medium terms are the engine of technology change.
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Decomposition Strategy for Districts as Renewable Energy Hubs
In light of the energy transition, it becomes a widespread solution to decentralize and to decarbonize energy systems. However, limited transformer capacities are a hurdle for large-scale integration of solar energy in the electricity grid. The aim of this paper is to define a novel concept of renewable energy hubs and to optimize its design strategy at the district scale in an appropriate computational time. To overcome runtime issues, the Dantzig–Wolfe decomposition method is applied to a mixed-integer linear programming framework of the renewable energy hub.Distributed energy units as well as centralized district units are considered.
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Enabling Cryogenic Hydrogen-Based CO2-Free Air Transport: Meeting the Demands of Zero Carbon Aviation
Flightpath 2050 from the European Union (EU) sets ambitious targets for reducing the emissions from civil aviation that contribute to climate change. Relative to aircraft in service in year 2000, new aircraft in 2050 are to reduce CO 2 emissions by 75% and nitrogen oxide (NOx) emissions by 90% per passenger kilometer flown. While significant improvements in asset management and aircraft and propulsion-system efficiency and are foreseen, it is recognized that the Flightpath 2050 targets will not be met with conventional jet fuel.
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Conditional Kernel Density Estimation Considering Autocorrelation for Renewable Energy Probabilistic Modeling
Renewable energy is essential for energy security and global warming mitigation. However, renewable power generation is uncertain due to volatile weather conditions and complex equipment operations. It is therefore important to understand and characterize the uncertainty in renewable power generation to improve operational efficiency. In this paper, we proposed a novel conditional density estimation method to model the distribution of power generation under various weather conditions. Compared with existing literature, our approach is especially useful for the purpose of short-term modeling, where the temporal dependence plays a more significant role.
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