Annual Technology Baseline: ATB-calc Open Source Tools

Brian Mirletz; Michael Bannister; Laura Vimmerstedt; Dana Stright; Matthew Heine

doi:10.2172/2202393

Annual Technology Baseline: ATB-calc Open Source Tools

Brian Mirletz, Michael Bannister, Laura Vimmerstedt, Dana Stright, Matthew Heine

Research output: NREL › Presentation

Abstract

The Annual Technology Baseline (ATB) team will introduce the new open-source Python tools for processing and interacting with electricity ATB data and provide helpful user demonstrations, including how to: extract data from the ATB workbook and calculate levelized cost of electricity (LCOE) in Python; programmatically interact with and modify ATB data; and use the tools to modify the tax credit assumptions of the ATB to account for bonus credits from the Inflation Reduction Act of 2022.

Original language	American English
Number of pages	36
DOIs	https://doi.org/10.2172/2202393
State	Published - 2023

NREL Publication Number

NREL/PR-7A40-87622

Keywords

energy data
LCOE
levelized cost of energy
open source code
overnight capital cost
Python
SAM
System Advisor Model

Access to Document

10.2172/2202393

https://www.nrel.gov/docs/fy24osti/87622.pdf

Cite this

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title = "Annual Technology Baseline: ATB-calc Open Source Tools",

abstract = "The Annual Technology Baseline (ATB) team will introduce the new open-source Python tools for processing and interacting with electricity ATB data and provide helpful user demonstrations, including how to: extract data from the ATB workbook and calculate levelized cost of electricity (LCOE) in Python; programmatically interact with and modify ATB data; and use the tools to modify the tax credit assumptions of the ATB to account for bonus credits from the Inflation Reduction Act of 2022.",

keywords = "energy data, LCOE, levelized cost of energy, open source code, overnight capital cost, Python, SAM, System Advisor Model",

author = "Brian Mirletz and Michael Bannister and Laura Vimmerstedt and Dana Stright and Matthew Heine",

year = "2023",

doi = "10.2172/2202393",

language = "American English",

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N2 - The Annual Technology Baseline (ATB) team will introduce the new open-source Python tools for processing and interacting with electricity ATB data and provide helpful user demonstrations, including how to: extract data from the ATB workbook and calculate levelized cost of electricity (LCOE) in Python; programmatically interact with and modify ATB data; and use the tools to modify the tax credit assumptions of the ATB to account for bonus credits from the Inflation Reduction Act of 2022.

AB - The Annual Technology Baseline (ATB) team will introduce the new open-source Python tools for processing and interacting with electricity ATB data and provide helpful user demonstrations, including how to: extract data from the ATB workbook and calculate levelized cost of electricity (LCOE) in Python; programmatically interact with and modify ATB data; and use the tools to modify the tax credit assumptions of the ATB to account for bonus credits from the Inflation Reduction Act of 2022.

KW - energy data

KW - LCOE

KW - levelized cost of energy

KW - open source code

KW - overnight capital cost

KW - Python

KW - SAM

KW - System Advisor Model

U2 - 10.2172/2202393

DO - 10.2172/2202393

M3 - Presentation

ER -

Annual Technology Baseline: ATB-calc Open Source Tools

Abstract

NREL Publication Number

Keywords

Access to Document

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Cite this