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Renewable revolution: a review of strategic flexibility in future power systems
The global shift toward integrating renewable energy sources, such as solar and wind
power, is revolutionizing the energy landscape, presenting both opportunities and …
power, is revolutionizing the energy landscape, presenting both opportunities and …
[HTML][HTML] Classification, potential role, and modeling of power-to-heat and thermal energy storage in energy systems: A review
Most of the power-to-heat and thermal energy storage technologies are mature and impact
the European energy transition. However, detailed models of these technologies are usually …
the European energy transition. However, detailed models of these technologies are usually …
Deep reinforcement learning optimal control strategy for temperature setpoint real-time reset in multi-zone building HVAC system
X Fang, G Gong, G Li, L Chun, P Peng, W Li… - Applied Thermal …, 2022 - Elsevier
Determining a proper trade-off between energy consumption and indoor thermal comfort is
important for HVAC system control. Deep Q-learning (DQN) based multi-objective optimal …
important for HVAC system control. Deep Q-learning (DQN) based multi-objective optimal …
Electricity consumption optimization using thermal and battery energy storage systems in buildings
Z Rostamnezhad, N Mary, LA Dessaint… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Energy storage system (ESS) plays a key role in peak load shaving to minimize power
consumption of buildings in peak hours. This paper proposes a novel energy management …
consumption of buildings in peak hours. This paper proposes a novel energy management …
Demand response strategy applied to residential electric water heaters using dynamic programming and K-means clustering
Previous studies have shown that electric water heaters (EWHs) have strong potential in
demand-side management applications more precisely because they offer energy storage …
demand-side management applications more precisely because they offer energy storage …
Gray-box soft sensors in process industry: Current practice, and future prospects in era of big data
Virtual sensors, or soft sensors, have greatly contributed to the evolution of the sensing
systems in industry. The soft sensors are process models having three fundamental …
systems in industry. The soft sensors are process models having three fundamental …
[HTML][HTML] A state-space heating and cooling model for thermal stratification in horizontally configured electric hot water storage cylinders
PD van Schalkwyk, JAA Engelbrecht, JP Meyer… - Applied Thermal …, 2024 - Elsevier
Domestic water heating significantly impacts global energy demand, with electric hot water
storage devices notably contributing to grid load. Efficient management of these widespread …
storage devices notably contributing to grid load. Efficient management of these widespread …
A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit
H Fan, Y Zhang, Z Su, B Wang - Applied Energy, 2017 - Elsevier
It is challenging and interesting to establish a precise dynamic model of an OTB (once-
through boiler) power plant unit in order to meet large scale load demands from the power …
through boiler) power plant unit in order to meet large scale load demands from the power …
Research on coordinated control of renewable-energy-based Heat-Power station system
The traditional combined heat and power (CHP) units have drawbacks such as a lack of
flexibility in control and environmental pollution. Renewable-energy-based heat-power …
flexibility in control and environmental pollution. Renewable-energy-based heat-power …
Fault detection for non-condensing boilers using simulated building automation system sensor data
R Shohet, MS Kandil, Y Wang, JJ McArthur - Advanced Engineering …, 2020 - Elsevier
Building performance has been shown to degrade significantly after commissioning,
resulting in increased energy consumption and associated greenhouse gas emissions. Fault …
resulting in increased energy consumption and associated greenhouse gas emissions. Fault …