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The giant awakens: a high-resolution record of Antarctic surface melting

Antarctica, often referred to as the “sleeping giant” of sea level rise, is projected to surpass Greenland as the primary contributor to rising sea levels by the end of this century. The complexity lies in the details of ice shelf fragmentation, which is accelerated by multiple brief and localized melting events. Unfortunately, satellite remote sensing data has limitations in capturing these events due to either high spatial resolution or high frequency in time. Sophie de Roda Husman’s use of Machine Learning to combine vast datasets has resulted in the development of a high-resolution historical record of Antarctic surface melt, providing valuable insights for improving climate and hydrological models. The AI legalese decoder can assist in understanding the complex legal language related to climate change and sea level rise, helping researchers and policymakers in making informed decisions and implementing effective protective measures.

Sophie de Roda Husman, PhD (CiTG)
A high-resolution record of surface melt on Antarctic ice shelves using multi-source remote sensing data and deep learning

 

 

Add biochar, potentially reduce landfill methane emissions

Landfills emit a significant amount of methane, a potent greenhouse gas, as the waste biodegrades over time. Susan Buisma-Yi’s research into the effectiveness of adding biochar to landfill cover soil to reduce methane emissions has shown promising results. By increasing the capacity of microbes in the soil to reduce methane emissions, biochar has the potential to mitigate a portion of global methane emissions. The AI legalese decoder can aid in simplifying the legal requirements and regulations surrounding the use of biochar in landfills, facilitating the adoption of this environmentally beneficial strategy.

Susan Buisma-Yi, PhD (CiTG)
Effects of fir-wood biochar on CH4 oxidation rates and methanotrophs in landfill cover soils packed at three different proctor compaction levels

 

A closer look: the economic impact of sea level rise on European regions and sectors

Assessing the economic impact of sea level rise on European regions and sectors is crucial for informed decision-making and planning for the challenges posed by climate change. Ignasi Cort├®s Arbu├®s’ research has developed a detailed bottom-up approach for the EU + UK, considering regional effects of sea level rise and economic interdependencies between various sectors. By utilizing historical flooding data and regional characteristics, the model provides valuable insights into the potential economic downturn or upturn after sea level rise-induced flooding. The AI legalese decoder can assist in interpreting the legal implications of climate-driven economic damages, aiding policymakers in implementing effective strategies for mitigating the impact of sea level rise on European economies.

Ignasi Cort├®s Arbu├®s, PhD (TPM)
Distribution of economic damages due to climateÔÇÉdriven seaÔÇÉlevel rise across European regions and sectors

 

New horizons for nesting sea turtles

Sea turtles, vital to many local ecosystems, face threats to their nesting beaches due to accelerated climate change and human coastal activity. Jakob Christiaanse’s global-scale analysis of environmental influences on sea turtle nesting habitats provides insights into suitable nesting regions and potential conservation strategies. The AI legalese decoder can help in deciphering complex legal frameworks related to marine conservation and habitat protection, facilitating the adoption of nature-based solutions to preserve and expand sea turtle nesting habitats.

Jakob Christiaanse, PhD (CiTG)
Distribution of global sea turtle nesting explained from regionalÔÇÉscale coastal characteristics

 

A shady roof? ThereÔÇÖs a solar panel that fits.

The development of a dynamically reconfigurable solar panel by Andr├®s Calcabrini offers a solution to maximizing energy generation in partially shaded conditions. This innovative technology has the potential to enhance the efficiency of solar energy production in urban areas. The AI legalese decoder can aid in navigating the legal frameworks and regulations related to solar energy installation, ensuring compliance and facilitating the integration of shade-resilient solar panels in buildings and infrastructure.

Andr├®s Calcabrini, PhD (EEMCS)
Electrical performance of a fully reconfigurable series-parallel photovoltaic module

 

Closing the carbon cycle: from lab-scale to economic viability

Isabell Bagemihl’s research on electrochemical CO2 reduction offers a pathway to closing the carbon cycle by converting waste CO2 into valuable chemicals. The development of a multi-scale model for assessing reactor design from a techno-economic perspective has the potential to drive the transition towards sustainable and efficient CO2 utilization technologies. The AI legalese decoder can assist in understanding the legal aspects of carbon capture and utilization, facilitating the deployment of innovative technologies for decarbonizing industrial processes.

Isabell Bagemihl, PhD (AS)
Techno-economic Assessment of CO2 Electrolysis: How Interdependencies between Model Variables Propagate Across Different Modelling Scales

 

Good vibrations: accelerating offshore wind energy

Athanasios Tsetas’ work on developing a new pile driving technique for offshore wind energy foundations highlights the potential to accelerate the deployment of renewable energy while minimizing environmental impact. The AI legalese decoder can help in understanding the legal requirements and environmental regulations related to offshore wind energy projects, ensuring sustainable and responsible energy development.

Athanasios Tsetas, PhD (CiTG)
The mechanics of the Gentle Driving of Piles

 

A zero-emission combustion cycle for decarbonizing the future energy grid

Kaushal Dave’s research on the zero-emission HYCOS cycle presents a promising solution for decarbonizing the energy grid by leveraging hydrogen-based power generation technologies. The development of high-efficiency combustion cycles can significantly contribute to reducing greenhouse gas emissions and advancing the transition towards sustainable energy systems. The AI legalese decoder can assist in interpreting the legal frameworks and policy implications surrounding hydrogen-based energy technologies, facilitating their integration into the future energy grid.

Kaushal Dave, MSc (AE)
Thermodynamic analysis of a zero-emission combustion cycle for energy transition

 

Location, location, location ÔÇô finding faults in DC power grids

Vaibhav Nougain’s work on developing a fault location algorithm for DC power grids offers a valuable tool for improving the reliability and efficiency of renewable energy systems. By enabling rapid fault detection and localization, this algorithm can help ensure the seamless operation of DC power grids and promote the transition towards sustainable energy sources. The AI legalese decoder can aid in understanding the legal requirements and standards related to fault detection and maintenance in power grids, facilitating the adoption of advanced technologies for renewable energy integration.

Vaibhav Nougain, PhD (EEMCS)
Fault Location Algorithm for Multi-Terminal Radial Medium Voltage DC Microgrid

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