LBNL Energy Technologies Area

Radiance

A Validated Lighting Simulation Tool

pyWinCalc

AutoBFE

frads

Framework for lighting and energy simulation using Radiance and EnergyPlus

DOPER

Distributed Optimal and Predictive Energy Resources

pyradiance

Python wrapper for the validated RADIANCE ray-tracing engine

MSWH

Multiscale Solar Water Heating

DFLEXLIBS

Demand Flexibility Controls Library using Semantics

FMLC

Framework for Multi Layer Control in Python

Openstudio-GEB-gem

WinCalc

Windows-CalcEngine

Thermal and optical routines for modeling properties of window and shading systems

OpticalMeasurementParser

AFC

Advanced Fenestration Control

Windows-CalcStandards

Adapter

The Adapter software is developed at the Energy Efficiency Standards Department and it provides a convenient data table loader from various formats such as xlsx, csv, db (sqlite database), and sqlalchemy. Its main feature is the ability to convert data tables identified in one main and optionally one or more additional input files into database tables and Pandas DataFrames for downstream usage in any compatible software.

BEDES-Manager

THMXParser

BSDFXMLParser

DERIVE

Distributed Energy Resources Integrated Virtual Environment (DERIVE)

DynamicForecaster

Autonomous Dynamic Forecast Framework

FileParse

frs-fastderms

HIL4DF

Hardware In the Loop for Demand Flexibility

LBNLCPPCommon

opticalc

py_igsdb_base_data

Base data classes for Checkertool and IGSDB applications.

PyDynamicWindow

PyDynamicWindow is developed for researchers to evaluate the energy performance of dynamic windows in the world-wide climate. This initial version only include thermo-responsive (TR) windows. We bring new indicators (necessity level and recommendation index) to the evaluation system for TR windows. Other dynamic windows will be added in the future.

pypvwatts-better

NREL PVWatts wrapper in Python - LBNL fork for BETTER

XMLParser