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lfenergy-landscape's Issues

Update Landscape Entry for FlexMeasures

Changes requested

Technical Summary

When we use a lot of renewable energy, flexibility is becoming crucial and valuable, e.g. for demand response. FlexMeasures is the intelligent & developer-friendly EMS to support real-time energy flexibility apps, rapidly and scalable.

FlexMeasures is a real-time decision support platform (project operation), but also highly effective as a simulation tool (project design).

The problem it helps to solve is: What are the best times to run flexible assets, like batteries, heat pumps or industry processes?

In a nutshell, FlexMeasures turns data into optimized schedules for flexible assets.

Top Use Cases

  1. Industry: Shift process running times to minimize balancing costs as well as CO2 & support network congestion
  2. Built Environment: Optimize heating to satisfy comfort and energy costs (use rooftop solar & dynamic tariffs)
  3. E-Mobility (optimal charging time to lower bills, including vehicle-to-grid)

The FlexMeasures project is thriving towards sector-coupling, that is, to optimize different flexible energy use together. For example, scheduling both heat pumps and EV charging.

Latest release info

Version v0.12 of FlexMeasures adds a cool re-play feature and support for adding custom scheduling algorithms.

Release info & downloads:

Link to architectural overview diagram

https://www.lfenergy.org/wp-content/uploads/sites/67/2022/04/overview-flexEMS-1024x586.png

New Landscape Entry - Backbone

Project Name

Backbone

Description

Backbone is a generic energy network optimization tool written in GAMS for both planning and operations. It has been designed to be highly adaptable in different dimensions: temporal, spatial, technology representation and market design. The model can represent both short-term forecasts and longer-term statistical uncertainties. Backbone can support multiple different models due to the modifiable temporal structure and varying lengths of the time steps.

Homepage URL

https://gitlab.vtt.fi/backbone/backbone/-/wikis/home

Repo URL

https://gitlab.vtt.fi/backbone/backbone

Organization hosting or owning the project

VTT Technical Research Centre of Finland

Logo

backbone_logo

Category

Energy Systems - Modeling and Optimization

Update Landscape Entry for Power Grid Model

Changes requested

Technical Summary (max 100 words)

Power Grid Model (power-grid-model and power-grid-model-io) is a high performance distribution grid calculation model. It has a C++ calculation core with a mature C-API and Python API. Currently, it supports the following calculations:

  • Symmetric and asymmetric power flow calculation with Newton-Raphson method, iterative current method and linear method
  • Symmetric and asymmetric state estimation with iterative linear method

Top Use Cases (max 3)

  • Short term real-time state estimation and forecasting
  • Long term grid planning
  • Congestion management

Latest release info (including link)

Power Grid Model uses rolling release. Every merge to the main branch will trigger the CI pipeline to build and publish a new version. See below the list of releases:

https://github.com/alliander-opensource/power-grid-model/releases

Link to architectural overview diagram

See below the link to the documentation including the architectural overview.

https://power-grid-model.readthedocs.io/en/stable/

Update Landscape Entry for [PROJECT]

Changes requested

The energy sector is following the telecommunications field by moving towards virtualization for increased flexibility and cost reduction. This leads to an IT/OT convergence where critical applications, previously hosted on specific hardware, become virtual machines. However, these applications require high availability, real-time performance, and cybersecurity.

SEAPATH is a project under the LF Energy umbrella that provides a solution for building a real-time virtualization industrial-grade platform based on Yocto or Debian. The technology behind SEAPATH includes the use of Ceph storage, Linux RT, Pacemaker for high availability, Open vSwitch (OVS) for network virtualization, SR-IOV for hardware acceleration, KVM for virtualization, and PTP synchronization for accurate timekeeping

The SEAPATH project can be used:

  • By vendors to build a fully virtualized digital substation and ensured to its client that it is based on open source
  • By integrators that wants to propose and support a real-time virtualization industrial-grade platform for their clients
  • By utilities, universities and start up that want to evaluate their concepts and take benefit of this collaboration framework

Recently the SEAPATH project has made big evolutions regarding testing and hardening:

Want to build your SEAPATH cluster? You should start here

Update Landscape Entry for FledgePower

Changes requested

Technical Summary

FledgePOWER solves the problem of multiple protocols by providing the industry with a flexible, lightweight, industrial-grade, open source gateway that embeds Fledge (LF EDGE). Additionally, FledgePOWER provides a toolbox for simulation, data configuration, and checking focused uniquely on power systems’ protocols translation and power systems’ use cases.

FledgePOWER is a cross foundation collaboration between LF Edge and LF Energy that ensures strong cooperative governance and technical alignment between the two communities.

Top Use Cases

  • Improving the availability of an IEC 104 substation by deploying FledgePower with multi-centre IEC 104 redundancy.
  • Securing an old generation substation in HNZ protocol, by deploying FledgePower with IEC 104 over TLS.
  • Power grid simulation, using FledgePower to integrate with the substation in IEC 104 on the one hand and the simulation system in OPCUA on the other.

Latest release info

Latest release of FledgePower plugins are based on Fledge 2.0.1
https://github.com/fledge-iot/fledge/releases/tag/v2.0.1

iec104 south plugin v1.0.0
iec104 north plugin v1.0.0
opcua s2opc north plugin v1.0.0

Link to architectural overview diagram

https://wiki.lfenergy.org/display/FLED/FledgePower+Architecture

Documentation still mentions images URLs as an option

According to the readme one should be able to submit a image URL. Turns out that triggers a build error, as in #293 So the README could use an update. Perhaps there is more current documentation in the CNCF-landscape repo that can be adopted?

Update Landscape Entry for [Hyphae]

Changes requested

  • Technical summary
    Hyphae aims at building open-source control for AC, DC, AC/DC microgrids. This refers to component-level control and system-level control. The former includes plug-and-play control for power electronics converters that interface the distributed energy resources of the microgrid. The latter includes coordination control of all components in the microgrid and control for the islanding and grid-connection of the microgrid to the main distribution grid. The project aims also at power flow control between several microgrids, enabling ansillary services provided to the distribution grids. This is distributed, modular and scalable control, to enable flexible expansion of microgrids.
  • Use-cases
  1. Autonomous Power Interchange System: P2P control of batteries charging/discharging in DC microgrid
  2. Converter controller with plug-and-play capability

New Landscape Entry - Interactive Power Flow (IPF)

Project Name

Interactive Power Flow (IPF)

Description

Interactive Power Flow (IPF) is a software package for doing power flow studies. IPF models the operation of a bulk electric power network. IPF was developed by Bonneville Power Administration (BPA) and its contractors in the 1990s with about 20% of the cost supported by the Electric Power Research Institute (EPRI). By mutual agreement, as described in EPRI Agreement RP2746-03 entitled Graphical User Interface for Powerflow, March, 1992,

“all results of this project–including the computer program and its documentation–are to be in the public domain.”

While not a modern tool (written in Fortran and uses X Window for displays/UI), it can still be used for benchmarking new power flow engines and transient stability analysis tools.

Homepage URL

https://bpa-ipf.readthedocs.io/en/latest/index.html

Repo URL

https://github.com/mbheinen/bpa-ipf-tsp

Organization hosting or owning the project

Bonneville Power Administration (original creator)

Logo

IPF-Bus

Category is really "Energy Systems - Modeling and Simulation" but non of dropdown categories really fit that so I just put "Asset Management - Analytics" even though IPF really isn't that

Category

Asset Management - Analytics

Update Landscape Entry for OpenEEmeter

Changes requested

Technical Summary (max 100 words):

The OpenEEmeter is a library of software packages and supporting methods documentation for computing consistent and replicable estimates of changes in time series of energy consumption, primarily as measured for populations of commercial and residential buildings. The OpenEEmeter emphasizes consistency and replicability to facilitate payments and market transactions that may be take the energy savings outputs of the software as inputs.

Top Use Cases (max 3):

  • Computes revenue-grade impacts of residential and commercial demand flexibility, such as energy efficiency projects, behavioral interventions, and demand-response events.
  • Documents standard approaches and reasoning behind methodological approaches to data modeling.
  • Supports methods development and model testing.

Latest release info (including link):

Latest releases can be found in the changelog: https://github.com/openeemeter/eemeter/blob/master/CHANGELOG.md

Link to architectural overview diagram:

No architectural overview diagram available - here is a link to a tutorial. https://eemeter.openee.io/tutorial.html

Update Landscape Entry for [OpenSTEF]

Changes requested

• Technical Summary ( max 100 words )
OpenSTEF is a software stack that predicts future load on the electricity grid using machine learning. It works with energy consumption, renewable generation, or a combination of both. OpenSTEF validates input data, uses external predictors such as weather and market prices, trains machine learning models, and provides a forecast via API and graphical user interface. The stack is based on open source technology, organized in a microservice architecture, and optimized for cloud-deployment.
• Top Use Cases ( max 3 )

Update Landscape Entry for Dynaωo

Changes requested

Marco pinged me that the TAC accepted Dynaωo as Incubating, not Sandbox, so this needs to please be updated on the landscape. I've already adjusted the website.

Checkout main fails

Thank you for providing feedback on improving the LF Energy Landscape. Please update the title above and add your feedback below

On Windows 10:

C:\data\other_software\lfenergy-landscape>git checkout main
error: invalid path 'hosted_logos/Data wrangling for the "IEA Net Zero by 2050" Roadmap.svg'

This was after git clone, which also failed on same error.

New Landscape Entry - [FAME]

Project Name

FAME

Description

FAME is the open Framework for distributed Agent-based Models of Energy systems. Its purpose is supporting the rapid development and fast execution of complex agent-based simulations in the energy systems domain. Please find details in two articles describing FAME's two main components: FAME-Core and FAME-Io.

Homepage URL

https://gitlab.com/fame-framework/wiki/-/wikis/home

Repo URL

https://gitlab.com/fame-framework

Organization hosting or owning the project

Deutsches Zentrum für Luft- und Raumfahrt e.V.

Logo

DLR_Logo_FAME_Squared

Category

Energy Systems - Modeling and Optimization

New Landscape Entry - [AMIRIS]

Project Name

AMIRIS

Description

AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments. The model computes electricity prices endogenously based on the simulation of strategic bidding behavior of prototyped market actors. This bidding behavior does not only reflect marginal prices, but can also consider effects of support instruments like market premia, uncertainties and limited information, or market power.

Homepage URL

https://dlr-ve.gitlab.io/esy/amiris/home/

Repo URL

https://gitlab.com/dlr-ve/esy/amiris/amiris

Organization hosting or owning the project

Deutsches Zentrum für Luft- und Raumfahrt e.V.

Logo

DLR_Logo_AMIRIS_Schriftunten

Category

Energy Systems - Modeling and Optimization

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