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nelson_etal_2021_scidata

An open-source geospatial data package for determining renewable and non-renewable power plant siting suitability across the United States

Kristian D. Nelson^1*, Chris R. Vernon¹, Jennie S. Rice¹, Kendall Mongird¹

¹ Pacific Northwest National Laboratory, Richland, WA. 99354

* corresponding author: kristian.nelson@pnnl.gov

Abstract

Determining suitable land areas to accommodate future electricity system expansion requires a multitude of geospatial datasets to be able to address a wide range of power plant siting opportunities and constraints. These datasets encompass a variety of sectors, scales, and formats, posing a significant data fusion challenge. This data descriptor describes the process of discovery, harvesting, documenting, archiving, and quality controlling a collection of geospatial datasets used for renewable and non-renewable power plant siting. This accumulation of datasets will be used in the Capacity Expansion Regional Feasibility Model (CERF) as inputs. CERF uses these data to determine feasible and cost-effective siting options for utility-scale renewable and non-renewable power plants within the contiguous United States at a 1 km resolution. This unique open-source data package facilitates defining both common and technology-specific areas where power plants may be sited and enables other researchers to include their own data in the same common format.

Journal reference

TBD

Code reference

Cite version 2 of CERF

Data reference

Input data

Reference for each minted data source for your input data. For example:

Human, I.M. (2021). My input dataset name [Data set]. DataHub. https://doi.org/some-doi-number

Output data

Reference for each minted data source for your output data. For example:

Human, I.M. (2021). My output dataset name [Data set]. DataHub. https://doi.org/some-doi-number

Reproduce my experiment

Fill in detailed info here or link to other documentation that is a thorough walkthrough of how to use what is in this repository to reproduce your experiment.

1. Install the software components required to conduct the experiement from Contributing modeling software

2. Download and install the supporting input data required to conduct the experiement from Input data

3. To generate the suitablity data:

Script Name	Description	How to Run
step_one.py	Script to run the first part of my experiment	python3 step_one.py -f /path/to/inputdata/file_one.csv
step_two.py	Script to run the last part of my experiment	python3 step_two.py -o /path/to/my/outputdir

4. Download and unzip the output data from my experiment Output data

5. To run the validation...

Script Name	Description	How to Run
compare.py	Script to compare my outputs to the original	python3 compare.py --orig /path/to/original/data.csv --new /path/to/new/data.csv

Reproduce my figures

Use the scripts found in the figures directory to reproduce the figures used in this publication.

Script Name	Description	How to Run
generate_figures.py	Script to generate my figures	python3 generate_figures.py -i /path/to/inputs -o /path/to/outuptdir