Combined reinforcement learning (RL) and model predictive control (MPC) for optimal building energy use
- År
 - 2023
 - Type
 - Vitenskapelig artikkel
 
Carbon Capture and Storage (CCS) using chemical absorption is a viable method to significantly cut CO2 emissions in the industrial and energy sectors. However, further development of improved absorbents is necessary to reduce the costs and environmental impact of current CCS technologies. To design...
Macroalgae, or seaweeds, have potential for use as feed ingredients and are currently unexploited despite their content of vitamins, minerals, and protein. Brown species can accumulate iodine from seawater and there are strict limits set by the European Food Safety Authority and the FDA regarding...
Background: Early detection of amyloid-β (Aβ) aggregates is a critical step to improve the treatment of Alzheimer’s disease (AD) because neuronal damage by the Aβ aggregates occurs before clinical symptoms are apparent. We have previously shown that luminescent conjugated oligothiophenes (LCOs...
The exploitation of subsurface resources is an energy-intensive activity leading to substantial emissions. The main energy consumer for hydrocarbon production is gas compression and pumping. In this article, we investigate the effect on energy use from changes to compressor and pump layout, with a...
This paper responds to recent calls to address the indivisible nature of the Sustainable Development Goal (SDG) framework and the related knowledge gap on how SDG targets interlink with each other. It examines how SDG targets interact in the context of a specific technology, point of care (PoC...
Equations describing acoustic streaming in soft, porous media driven by focused ultrasound are derived based on the assumption that acoustic waves pass through the porous material as if it were homogeneous. From these equations, a model that predicts the time-averaged flow on the macroscopic scale...