HERON (Holistic Energy Resource Optimization Network) is a project to construct
workflows solving complex resource allocation problems to meet target economic
goals.
It leverages probabalistic analysis tool raven to run constructed workflows. HERON is a plugin for RAVEN.
Instructions for installing RAVEN plugins (including HERON) can be found on RAVEN's website.
See more on the HERON wiki for installation, examples, and documentation.
The following are a selection of technical reports, conference proceedings, and journal articles that may be of interest to users and developers of HERON, loosely in order of work performed.
- Stochastic Optimization and Uncertainty Quantification of Natrium-based Nuclear-Renewable Energy Systems for Flexible Power Applications in Deregulated Markets
- Sensitivity Analysis of a Nuclear Hybrid Energy System With Thermal Energy Storage in Deregulated Electricity Markets Considering Time Series Uncertainty in Electricity Price
- Powering Data Centers with Clean Energy: A Techno-Economic Case Study of Nuclear and Renewable Energy Dependability
- A Technical and Economic Assessment of LWR Flexible Operation for Generation and Demand Balancing to Optimize Plant Revenue
- Evaluation of Hybrid FPOG Applications in Regulated and Deregulated Markets Using HERON
- HERON as a Tool for LWR Market Interaction in a Deregulated Market
- Evaluation of Hydrogen Production Feasibility for a Light Water Reactor in the Midwest
- Economic Assessment of Nuclear Hybrid Energy Systems: Nuclear-Renewable-Water Integration in Arizona
- Economic analysis of a nuclear hybrid energy system in a stochastic environment including wind turbines in an electricity grid
- Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing
- Synthetic wind speed scenarios generation for probabilistic analysis of hybrid energy systems
HERON is included in the U.S. Department of Energy CODE database, which includes citation guidelines for several citation styles. DOI:10.11578/dc.20200929.2
