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FARM supervisory capabilities for thermal energy storage
The FARM (Feasible Actuator Range Modifier) module is a component of the RAVEN-based FORCE framework for the analysis of Integrated Energy Systems (IES). FARM aids HERON in the solution of the power dispatch problem by evaluating feasible set-point signals to be issued to the control systems of the different IES unit components. Set-points need to satisfy limits on both production variables (i.e., the variables to be optimized such as the electrical power, etc.) and process variables tied to the service life of equipment (e.g., steam flowrate, vessel pressure, turbine firing temperature, etc.). To enforce all these limits, a two-stage approach is adopted. First, the power dispatcher algorithm in HERON module estimates set-points that meet the constraints on the production variables, e.g., power levels and power ramp rate limits. These constraints are called explicit constraints. Then, if necessary, FARM adjusts these set-points to ensure the respect of the limits on the process variables of interest, given the knowledge of the system dynamics acquired through machine learning algorithms. These constraints are called implicit constraints. From this standpoint, FARM constitutes a bridge between the HERON power dispatcher that adopts a simplified description of the IES unit (low-resolution physics) and the HYBRID high-fidelity models (high-resolution physics). In this report, an overview of the major capabilities of the latest release of FARM is provided, along with a summary of the tool demonstration campaign conducted at the Dynamic Energy Technology and Integration Laboratory (DETAIL) facility. These results assess the performance of the control system architecture embedding FARM both as a Validator of the HERON power dispatcher and as a real time Supervisory control scheme. Additionally, the report outlines the areas that FARM might benefit from, along with proposed solutions.
Development of Radial Packed Bed Thermal Energy Storage
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Analysis of a Hybrid Concentrated Solar Power (CSP) & Pumped Thermal Energy Storage (PTES) System and Safety Approaches
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UHTC-TPMS Heat Exchangers for Concentrating Solar Power Applications with Thermal Energy Storage in Molten Chlorides
Concentrating solar power (CSP) plants convert energy from sunlight into electricity. Generally, a heliostat field is used to reflect sunlight and concentrate it onto a receiver, which heats the receiver and/or the media flowing through it. A flow loop transports the media through the system to a heat exchanger before returning the media back to the receiver to be reheated. The heat extracted by the heat exchanger is then converted into electricity using a conventional heat engine.
Production of Ethylene via Ethane Dehydrogenation with Thermal Energy Storage Media from Renewable Solar Processes
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Electric-to-Electric Moving Particle Thermal Energy Storage (PARTICLE)
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Development of a Packed Bed Thermal Energy Storage Digital Model
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Electrified Thermal Energy Storage
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TEA: Moving Particle Thermal Energy Storage Technology for Grid and Process Heat Applications
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A Simulation-Based Investigation on the Performance of a Hybrid Ground Source Heat Pump System Integrated with Thermal Energy Storage
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TESTING AND SIMULATIONS OF SPATIAL AND TEMPORAL TEMPERATURE VARIATIONS IN A PARTICLE-BASED THERMAL ENERGY STORAGE BIN.
Abstract not provided.
Development of a Small-Scale Testbed for Novel Particle-to-sCO2 Heat Exchangers to Enable Gen3 Particle Thermal Energy Storage.
Abstract not provided.
Sensible Thermal Energy Storage ? High-Temperature Particles (presentation).
Abstract not provided.
Modeling a Lead-Cooled Fast Reactor with Thermal Energy Storage using Optimal Dispatch and SAM
Increased contributions from wind and solar energy have helped set the United States on an attainable pathway towards carbon-free energy production. Though renewable energy is pivotal for this goal, saturating the grid with these variable energy sources has its challenges. Resources for wind and solar vary from factors beyond human control, hence the power output from these energy generators doesn’t necessarily match power demand for a specific region at a given moment in time. Solar photovoltaic production has a drastic mismatch since the peaks for power demand and power production are often out of phase: production peaks with available irradiance while demand peaks during the morning and evening hours. This “duck curve” in energy demand, the difference between high and low demand, grows as the grid becomes more saturated with renewable energy providers.
Design Considerations for Commercial Scale Particle-Based Thermal Energy Storage Systems.
Abstract not provided.
A Framework for Analyzing Widespread Grid Intervening Technologies: A Case Study of Heat Pump-Integrated Thermal Energy Storage Systems in Buildings
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Thermal Energy Storage Technologies (presentation for Climate Investment Funds).
Abstract not provided.