A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

LandBOSSE

The Land-based Balance-of-System Systems Engineering model is a systems engineering tool that estimates the balance-of-system costs associated with installing utility scale wind plants (10, 1.5 MW turbines or larger).
https://github.com/WISDEM/LandBOSSE

Category: Renewable Energy
Sub Category: Wind Energy

Keywords from Contributors

openmdao systems-engineering wind wisdem

Last synced: about 19 hours ago
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Repository metadata

New LandBOSSE Model (Developed in 2018-2019)

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 metadata


GitHub Events

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Last Year

Committers metadata

Last synced: 7 days ago

Total Commits: 523
Total Committers: 9
Avg Commits per committer: 58.111
Development Distribution Score (DDS): 0.442

Commits in past year: 28
Committers in past year: 3
Avg Commits per committer in past year: 9.333
Development Distribution Score (DDS) in past year: 0.071

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:


Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 98
Total pull requests: 102
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: 0.49
Merged pull request: 92
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 7
Past year average time to close issues: N/A
Past year average time to close pull requests: 7 days
Past year issue authors: 1
Past year pull request authors: 3
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.57
Past year merged pull request: 7
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/WISDEM/LandBOSSE

Top Issue Authors

  • akey7 (73)
  • parangat94 (10)
  • eberlea (5)
  • badeshiben (3)
  • dykesk (2)
  • ChristopherCampos (1)
  • jrleee (1)
  • FlorianMandel (1)
  • ptrbortolotti (1)
  • tejedor24 (1)

Top Pull Request Authors

  • akey7 (63)
  • gbarter (15)
  • parangat94 (11)
  • crookp (5)
  • eberlea (2)
  • badeshiben (2)
  • ChristopherCampos (1)
  • ptrbortolotti (1)
  • barker59 (1)
  • jp5000 (1)

Top Issue Labels

  • enhancement (14)
  • input enhancement (14)
  • approved (11)
  • output enhancement (11)
  • analysis script (9)
  • bug (9)
  • parametrics (8)
  • epic enhancement (1)

Top Pull Request Labels

  • approved (5)
  • ready (3)
  • being reviewed (2)
  • enhancement (1)
  • not started (1)
  • changes requested (1)

Package metadata

proxy.golang.org: github.com/wisdem/landbosse

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/wisdem/landbosse#section-documentation
  • Licenses: other
  • Latest release: v2.6.0+incompatible (published 2 months ago)
  • Last Synced: 2025-04-26T14:02:15.325Z (2 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.999%
    • Average: 8.173%
    • Dependent repos count: 9.346%
proxy.golang.org: github.com/WISDEM/LandBOSSE

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/WISDEM/LandBOSSE#section-documentation
  • Licenses:
  • Latest release: v2.6.0+incompatible (published 2 months ago)
  • Last Synced: 2025-04-26T14:02:15.792Z (2 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.999%
    • Average: 8.173%
    • Dependent repos count: 9.346%
pypi.org: landbosse

LandBOSSE

  • Homepage: https://github.com/WISDEM/LandBOSSE
  • Documentation: https://landbosse.readthedocs.io/
  • Licenses: other
  • Latest release: 2.3.0 (published over 4 years ago)
  • Last Synced: 2025-04-26T14:02:15.671Z (2 days ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 742 Last month
  • Rankings:
    • Dependent packages count: 7.31%
    • Forks count: 8.272%
    • Stargazers count: 14.537%
    • Average: 16.31%
    • Dependent repos count: 22.088%
    • Downloads: 29.345%
  • Maintainers (1)

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

Score: 12.472827258298958