LBNL Energy Technologies Area

Radiance

A Validated Lighting Simulation Tool

AutoBFE

pyWinCalc

DOPER

Distributed Optimal and Predictive Energy Resources

FMI-MLC

Functional Mock-up Interface - Machine Learning Center

frads

Framework for lighting and energy simulation using Radiance and EnergyPlus

pyradiance

Python wrapper for the validated RADIANCE ray-tracing engine

a3dbr

DFLEXLIBS

Demand Flexibility Controls Library using Semantics

haxall-based-fault-correction

LPDM

Local Power Distribution Manager (LPDM)

SCooDER

WinCalc

Windows-CalcEngine

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

FMLC

Framework for Multi Layer Control in Python

G36SavingsCalculator

Models, analysis scripts, and preliminary calculator for estimating savings potential of ASHRAE Guideline 36 control sequences.

Openstudio-GEB-gem

OpticalMeasurementParser

QUOP

Quantitative Universal Option Prioritizer

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.

AFC

Advanced Fenestration Control

BEDES-Manager

elecprice

This project aims to provide a tool for calculating a customer's electricity bill based on a specific utility tariff. An example is given for various California utility tariffs, retrieved from the OpenEI API.

radbsdf

Python wrapper of Radiance BSDF library

V2G-Sim

The Vehicle-to-Grid Simulator (V2G-Sim) invented at Berkeley Lab provides systematic quantitative methods to address the uncertainties and barriers facing vehicle-grid integration (VGI).

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