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H2Integrate

H2Integrate - Holistic Hybrids Optimization and Design Tool

Getting Started

Installing H2Integrate
Expected User Knowledge
Setting Environment Variables

User Guide

Model Overview
How to set up an analysis
Connecting technologies
Design optimization in H2I
Design of experiments in H2I
Postprocessing results
Recording and Loading Data From H2I Simulations
Custom user-defined models
Running several cases in sequence

Technology Models

Feedstock Models
Run-of-river hydropower model
Natural gas power plant model
WOMBAT Electrolyzer O&M Model
Solar-PV model using Pvwattsv8 module in PySAM
Wind Plant model using Windpower module in PySAM
Solar-PV Cost Models based on ATB-Formatted Cost Data
Wind Cost Model based on ATB-Formatted Cost Data
Marine Carbon Dioxide Capture Models
Simple Generic Storage Model
Methanol model
Ammonia model
PySAM Battery Model
Geologic Hydrogen Models
Grid Performance and Cost Models
Bulk Hydrogen Storage Cost Model

Resource Models

Resource data

Control

Control Overview
Open-Loop Controllers
Pyomo control framework

Finance Models

Real vs Nominal Analysis
Finance Parameters
Cost year of Cost Models
Finance Models Overview

Developer Guide

Contributing
Coding guidelines
Welcome to H2Integrate
Adding a new technology to new H2Integrate
Features not currently implemented
Class structure in H2Integrate
Expected methods and attributes of classes

Miscellaneous Resources

Frequently Asked Questions
Glossary
Specifying Filepaths in H2I

API Reference

API Documentation

Repository
Open issue

.rst

h2integrate.converters.iron.martin_transport

h2integrate.converters.iron.martin_transport#

Modules

iron_transport

Quick-and-dirty model for iron transport

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h2integrate.converters.iron.martin_ore.variable_om_cost

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By National Renewable Energy Laboratory

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