LandBOSSE

New LandBOSSE Model (Developed in 2018-2019)

https://github.com/WISDEM/LandBOSSE

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 9 committers (11.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.1%) to scientific vocabulary

Keywords from Contributors

openmdao systems-engineering wind wisdem wind-turbine
Last synced: 10 months ago · JSON representation

Repository

New LandBOSSE Model (Developed in 2018-2019)

Basic Info
  • Host: GitHub
  • Owner: WISDEM
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 18.8 MB
Statistics
  • Stars: 17
  • Watchers: 17
  • Forks: 27
  • Open Issues: 23
  • Releases: 13
Created almost 12 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.md

LandBOSSE

Welcome to LandBOSSE!

The Land-based Balance-of-System Systems Engineering (LandBOSSE) model is a systems engineering tool that estimates the balance-of-system (BOS) costs associated with installing utility scale wind plants (10, 1.5 MW turbines or larger). It can execute on macOS and Windows. At this time, for both platforms, it is a command line tool that needs to be accessed from the command line.

The methods used to develop this model (specifically, LandBOSSE Version 2.1.0) are described in greater detail the following report:

Eberle, Annika, Owen Roberts, Alicia Key, Parangat Bhaskar, and Katherine Dykes. 2019. NREL’s Balance-of-System Cost Model for Land-Based Wind. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-72201. https://www.nrel.gov/docs/fy19osti/72201.pdf.

User Guides

First, read the technical report to understand the big picture of LandBOSSE. In the technical report, you will find process diagrams, equations and the modules that implement them. Then, come back to this documentation and read the user guide.

In brief, LandBOSSE takes .xlsx spreadsheets, reads input data from tabs on the spreadsheets, and writes the results to an output .xlsx file. There are three sections in the user guide to demonstrate how to perform these steps.

The user guide comes in three parts:

  1. Software installation,

  2. Input data configuration, and

  3. Output data analysis.

Software Installation

There are two options depending on whether you are a developer or an end user and what operating system you are running.

Operation after the installation

Review the installation instructions on how to activate a virtual environment, if you haven't already.

Then, read the Operation and Folder Structure for details on running the command that executes LandBOSSE from the command line.

Owner

  • Name: WISDEM
  • Login: WISDEM
  • Kind: organization
  • Email: systems.engineering@nrel.gov
  • Location: NREL National Wind Technology Center, Boulder, CO

The Wind-Plant Integrated System Design and Engineering Model (WISDEM (TM)) set

GitHub Events

Total
  • Release event: 1
  • Delete event: 4
  • Issue comment event: 3
  • Push event: 6
  • Pull request review event: 3
  • Pull request review comment event: 3
  • Pull request event: 9
  • Fork event: 2
  • Create event: 3
Last Year
  • Release event: 1
  • Delete event: 4
  • Issue comment event: 3
  • Push event: 6
  • Pull request review event: 3
  • Pull request review comment event: 3
  • Pull request event: 9
  • Fork event: 2
  • Create event: 3

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 523
  • Total Committers: 9
  • Avg Commits per committer: 58.111
  • Development Distribution Score (DDS): 0.442
Past Year
  • Commits: 28
  • Committers: 3
  • Avg Commits per committer: 9.333
  • Development Distribution Score (DDS): 0.071
Top Committers
Name Email Commits
Alicia Key a****y@n****v 292
Annika Eberle a****e@n****v 104
parangat94 p****4@g****m 53
Garrett Barter g****r@n****v 35
Paul Crook p****k@n****v 26
Aaron Barker b****9@g****m 7
Katherine Dykes k****s@n****v 4
ptrbortolotti p****i@g****m 1
WIN\jumu j****u@d****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 98
  • Total pull requests: 106
  • Average time to close issues: 2 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 10
  • Total pull request authors: 10
  • Average comments per issue: 0.46
  • Average comments per pull request: 0.5
  • Merged pull requests: 95
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 11 days
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.7
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • akey7 (73)
  • parangat94 (10)
  • eberlea (5)
  • badeshiben (3)
  • dykesk (2)
  • ChristopherCampos (1)
  • jrleee (1)
  • FlorianMandel (1)
  • gbarter (1)
  • ptrbortolotti (1)
  • tejedor24 (1)
Pull Request Authors
  • akey7 (63)
  • gbarter (14)
  • parangat94 (11)
  • crookp (9)
  • eberlea (2)
  • ptrbortolotti (2)
  • badeshiben (2)
  • barker59 (1)
  • ChristopherCampos (1)
  • jp5000 (1)
Top Labels
Issue Labels
enhancement (14) input enhancement (14) approved (11) output enhancement (11) analysis script (9) bug (9) parametrics (8) epic enhancement (1)
Pull Request Labels
approved (5) ready (3) being reviewed (2) enhancement (1) not started (1) changes requested (1)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 46 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 1
    (may contain duplicates)
  • Total versions: 37
  • Total maintainers: 1
proxy.golang.org: github.com/wisdem/landbosse
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 7.0%
Average: 8.2%
Dependent repos count: 9.3%
Last synced: 10 months ago
proxy.golang.org: github.com/WISDEM/LandBOSSE
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 7.0%
Average: 8.2%
Dependent repos count: 9.3%
Last synced: 10 months ago
pypi.org: landbosse

LandBOSSE

  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 46 Last month
Rankings
Dependent packages count: 7.3%
Forks count: 8.3%
Stargazers count: 14.5%
Average: 16.3%
Dependent repos count: 22.1%
Downloads: 29.3%
Maintainers (1)
Last synced: 10 months ago

Dependencies

.github/workflows/CI_LandBOSSE.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • conda-incubator/setup-miniconda v2 composite
pyproject.toml pypi
  • numpy *
  • openpyxl *
  • pandas *
  • scipy *
  • xlsxwriter *
setup.py pypi
environment.yml conda
  • et-xmlfile
  • numpy
  • openmdao
  • openpyxl
  • pandas
  • pip
  • pytest
  • python
  • scipy
  • setuptools
  • xlsxwriter