Tools

Buildings
Commercial Building Analysis Tool for Energy-Efficient Retrofits - COMBAT
The Commercial Building Analysis Tool (COMBAT) for Energy Efficient Retrofits analyzes commercial building retrofit energy savings and investment cost-effectiveness.
CONTAM
Berkeley Lab contributes to CONTAM, the whole-building airflow and pollutant transport tool developed at NIST. CONTAM couples a multizone network airflow model to a well-mixed pollutant transport model to predict the transport and fate of airborne materials. It includes deposition, filtration, source terms, and other transport models.
Distributed Energy Resources Customer Adoption Model - DER-CAM
The Distributed Energy Resources Customer Adoption Model (DER-CAM) produces optimal investment decisions and dispatch for technologies as fuel cells, PV, solar thermal, electric/heat storage, heat pumps, EVs, etc.; and minimizes annual energy costs, CO2 emissions, or multiple objectives of providing services to buildings.
Energy and Water Use Analysis - Energy Use
The Energy and Water Use Analysis model is used to evaluate the change in performance of a product resulting from higher efficiency in real-world conditions.
Full-Fuel Cycle Accounting, Emissions Analysis, and Utility Impact Analysis - NIAplus
The Full-Fuel Cycle Accounting, Emissions Analysis, and Utility Impact Analysis (NIAplus) model is used to assess the full-fuel cycle national energy savings that may result from standards. Assess the reductions in carbon dioxide and other emissions, including their monetized benefits. Assess impacts on utilities, electricity generation, and capacity.
International Database of Efficient Appliances - IDEA
International Database of Efficient Appliances (IDEA) automatically compiles data from a wide variety of online sources--including online retailers, manufacturer websites, and government efficiency databases--to create a unified repository of information on efficiency, price, and features for a wide range of energy-consuming products across global markets. Data from IDEA enables researchers and policymakers to gain a complete and up-to-date picture of the status of appliance energy efficiency in various markets.
LBNL Energy Efficiency Revenue Analysis - LEERA
LBNL Energy Efficiency Revenue Analysis (LEERA) quantifies the amount of self-financing (i.e. financing for efficiency from revenues created by the same efficiency improvements) available for appliance efficiency incentive programs. Results are country-specific and appliance specific. Covers major appliance for SEAD member countries. The current version focuses on self-financing from avoided subsidy payments. This tool is intended to help design incentive programs.
National Impact Analysis - NIA
The National Impacts Analysis (NIA) model is used to assess aggregate impacts at the national level, as measured by the net present value of total consumer economic impacts and the national energy savings, of potential efficiency standards for appliances and commercial equipment.
Population Impact Assessment Modeling Framework - PIAM Framework
The Population Impact Assessment Modeling (PIAM) Framework approach applies physics-based simulation model(s) to calculate one or more environmental or energy performance parameters for each home in a sample cohort selected or developed to represent a population. Results from the individual homes are compiled to provide the statistics for population impacts. The approach can be applied at varying temporal or spatial scales.
Product Life-Cycle Costs and Payback Period Analysis - LCC/PBP
The Life-cycle cost and payback period (LCC-PBP) model calculates, at the consumer level, the savings in operating costs compared to any increase in purchase and installation cost likely to result directly from a given efficiency standard for appliances and commercial equipment.
Product Markups Analysis - Markups
The Product Markups Analysis tool assists in the development of distribution channel markups that relate the manufacturer production cost (MPC) to the cost to the consumer.
Product Shipments Forecasting - Shipments
The Product Shipments Forecasting tool is a a shipment-forecasting technique for appliances that generates an accounting of the purchase, repair, and replacement of appliances by fuel type and efficiency level, under different regulatory scenarios. Also can include a consumer choice model that uses a logit decision probability function calibrated to historical trends.
Utility Tariff Analysis Tool - TAP
The Tariff Analysis Project (TAP) tool is collecting and archiving a statistically complete sample of real utility tariffs and building a set of database and tools that make this information relatively easy to use in cost-benefit analysis.
Cross Sector
Benchmarking and Energy Saving Tool for Low Carbon Cities - BEST Cities
The Benchmarking and Energy Saving Tool for Low Carbon Cities (BEST-Cities) provides officials a comprehensive perspective on their local energy and carbon performance. Recommends city authorities with strategies to achieve energy savings and citywide carbon emissions reduction.
Benchmarking and Energy Saving Tool for the Dairy Industry - BEST-Dairy
The Benchmarking and Energy Saving Tool for the Dairy Industry (BEST-Dairy) is a free tool for benchmarking energy/water savings in various dairy processes. This BEST-Dairy benchmarking tool (V1.2, 2011) is developed for industrial users to compile data on energy and water usage in their own dairy processing plants, and to compare the efficiency levels with those of best references. It is developed and distributed by Lawrence Berkeley National Laboratory (LBNL). The BEST-Dairy tool allows a user to calculate energy and water use intensity and obtain a benchmarking score(s) for the selected plant, as compared with the best available references that we have identified from literature search nationally and globally. With the best references as the baseline, a higher benchmark score normally means higher savings potential from future efficiency improvement in your plant. The BEST-Dairy is intended to serve as a quick assessment of relative energy and water efficiency, which may also help to identify potential savings opportunities in the plant and processes. Users of the BEST-Dairy are advised that additional information and evaluation of the technologies be needed when considering system upgrades. To use the BEST-Dairy tool, see the contact information listed below.
Bottom Up Energy Analysis System - BUENAS
The Bottom Up Energy Analysis System (BUENAS) model estimates global potential energy efficiency potential for residential, commercial and industrial equipment.
California Greenhouse Gas Emission Measurement - CALGEM
CALGEM quantifies California GHG emissions from anthropogenic activities and natural environments using atmospheric measurements and analysis.
CalTOX
CalTOX is a set of spreadsheet models and spreadsheet data sets to assist in assessing human exposures from continuous releases to multiple environmental media, i.e. air, soil, and water. The modeling components of CalTOX include a multimedia transport and transformation model, multi-pathway exposure scenario models, and add-ins to quantify and evaluate uncertainty and variability. All parameter values used as inputs to CalTOX are distributions, described in terms of mean values and a coefficient of variation, rather than as point estimates or plausible upper values such as most other models employ. This probabilistic approach allows both sensitivity and uncertainty analyses to be directly incorporated into the model operation.
China 2050 Demand Resources Energy Analysis Model (DREAM) - China 2050 Model
The China 2050 Demand Resources Energy Analysis Model (DREAM), also known as the China 2050 Model, uses the Long-range Energy Alternatives Planning (LEAP) platform to characterize past and future Chinese energy consumption, evaluate the energy and emissions impact of specific policies in the buildings, industrial, transportation, and power sector, analyze the environmental impacts of CO2 and SO2 co-controls, and perform policy and technical efficiency scenario analysis.
Cloud Energy and Emissions Research Model - CLEER
The CLoud Energy and Emissions Research (CLEER) Model is a system-wide infrastructure analysis tool is a comprehensive user friendly open-access model for assessing the net energy and emissions implications of cloud services in different regions and at different levels of market adoption. The model aims to provide full transparency on calculations and input value assumptions so that its results can be replicated and its data and methods can be easily refined and improved by the research community. The overarching purpose of the CLEER Model is to encourage and enable open scientific research on the positive and negative impacts of cloud services.
Eco and Low-carbon Indicator Tool for Evaluating Cities - ELITE Cities
The Eco and Low-carbon Indicator Tool for Evaluating Cities (ELITE Cities) defines a low carbon eco-city. Evaluates and compares international and Chinese cities with indicators to assess progress, identify best practices and facilitate policy recommendations.
Green Resources and Energy Appraising Tool - GREAT
The Green Resources and Energy Appraising Tool (GREAT) develops a city’s GHG inventory, scenario generation on future energy and emissions, evaluates the impact of different policies, and helps to set target and develop action plans and target allocation.
Intake Fraction Model - iF Calculator
The intake fraction (iF) quantifies aggregate air-pollutant exposures attributable to a broad range of point, line and area sources. In order to assess the consequences of the spatial association between energy emissions and exposed populations for lifecycle and other impact assessments, EAEI scientists have developed a spreadsheet database that can calculate iF at national, state, county and census track resolution. The database used source-receptor (S-R) relationships derived from the US Environmental Protection Agency
Lifecycle Industry GHgas Technology and Energy Through the User Phase - AMO LIGHTnUP
Lifecycle Industry GHgas Technology and Energy through the Use Phase (LIGHTnUP) is used to forecast both the manufacturing sector and product life-cycle energy consumption implications of manufactured products across the U.S. economy.
Policy Analysis Modeling System - PAMS-MEPS
Policy Analysis Modeling System for Minimum Energy Performance Standards (PAMS-MEPS) provides robust techno-economic analysis to support Energy Efficiency Standards and Labeling programs.
Urban Form Rapid Assessment Model - Urban-RAM
Urban Form Rapid Assessment Model (Urban RAM) provides a quick assessment of the magnitude and sources of a city's operational and embodied energy and carbon footprints in order to understand better the drivers of urban energy/emissions growth and areas of possible policy intervention.
Industry
Benchmarking and Energy and Water Efficiency Savings Tool for Wineries - BEST-Winery
BEST-Winery is a software tool designed to evaluate the energy and water efficiency at a winery, and to help assess the environmental and financial impacts of potential improvement strategies. Given the necessary data, BEST-Winery calculates an energy intensity index (EII) and water intensity index (WII), performance indicators that compare the user's winery to a benchmark or reference facility, incorporating information about winery-specific process steps and characteristics affecting energy and water use and volumes processed by the winery. BEST Winery also allows the user to evaluate preliminary opportunities for energy and water efficiency improvement, to assess the impact on the performance of the facility, and to evaluate operation costs. This can help the user in developing a preliminary implementation plan for energy and water efficiency improvement. As a spreadsheet-based tool, BEST-Winery is designed to be simple enough to be easily usable, yet sophisticated enough to provide credible results. One simple input page is followed by a more detailed optional input page, to allow the user to adapt to the sophistication she needs. BEST-Winery is designed for wineries that produce most wines (except for Champagne-like wines) and that have the tanks and barrels inside a building. Wineries that operate large outdoor tanks cannot use BEST Winery to evaluate the performance of that winery.
Benchmarking and Energy Saving Tool for the Cement Industry - BEST Cement
The Benchmarking and Energy Saving Tool for the Cement Industry (BEST-Cement) is a process-based benchmarking and energy savings tool for cement industry
BErkeley-TRent Continental-Scale Pollutant Fate and Transport Model (North America) - BETR North America
The BErkeley-TRent Continental-Scale Pollutant Fate and Transport Model (North America) (BETR North America) model improves on traditional atmospheric models by more completely reflecting how persistent organic pollutants move and accumulate throughout North America. The model captures the observation that contaminants such as dioxin, DDT, and mercury not only move with prevailing winds but are also absorbed by the soil, water, and vegetation because of a natural tendency to maintain chemical equilibrium with the environment.
BErkeley-TRent Global-Scale Pollutant Fate and Transport Model (Global) - BETR Global
The BErkeley-TRent Global-Scale Pollutant Fate and Transport Model (BETR Global) is a geographically explicit global-scale multimedia contaminant fate model based on expansion of BETR North America. The available version of the model is coded in Visual Basic for Applications (VBA) and runs within Microsoft Excel with a graphical user interface. BETR Global has been developed and tested on 32-bit versions of Excel 2007 and Excel 2010.
Conservation Supply Curve Modeling - CSC-Framework
The Conservation Supply Curve (CSC) Modeling methodology is used for capturing engineering and the economic perspectives of industrial sector energy conservation technologies.
Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool for the Pulp & Paper Industry - EAGER Pulp & Paper
The Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool for the Pulp & Paper Industry (EAGER-Pulp & Paper) determines the energy saving potential and cost of the energy efficiency technologies that the user chooses as applicable to their pulp and paper plants.
Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool for the Steel Industry - EAGER Steel
The Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool for the Steel Industry (EAGER-Steel) determines the energy saving potential and cost of the energy efficiency technologies that the user chooses as applicable to their steel plants.
Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool  for the Textile Industry - EAGER Textile
The Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool  for the Textile Industry (EAGER-Textile) determines the energy saving potential and cost of the energy efficiency technologies that the user chooses as applicable to their textile plants.
Industry Sector Energy Efficiency Modeling - ISEEM
Industry Sector Energy Efficiency Modeling (ISEEM) provides an industry sector energy supply-demand planning model, including commodity and carbon trading as viable alternatives to emission reduction.
Manufacturing Cost Levelization Model
The Manufacturing Cost Levelization Model is a cost-performance techno-economic model that estimates total large-scale manufacturing costs necessary to produce a given product. It is designed to provide production cost estimates for technology researchers to help guide technology research and development towards an eventual cost-effective product. The model presented here for download is generic and can be tailored to the manufacturing of any product, including the generation of electricity (as a product). This flexibility, however, requires the user to develop the processes and process efficiencies that represents a full-scale manufacturing facility.
MAnufacturing STructure and Energy Research - MASTER
The MAnufacturing STructure and Energy Research (MASTER) tool is designed to help the users to understand how different factors (production growth, industry structural change, and energy intensity change) influence industrial energy use trends over time. It helps to quantitatively compare the level of structural change (i.e. the change in share of value added share of manufacturing subsectors) in the past and in the years to come, so that if needed the policy makers can adjust their policies to move towards the target of less energy-intensive industries. Different scenarios can be developed using this tool to shows the structural change achieved through different paths and helps to understand the consequences of supporting or limiting the growth of certain manufacturing sub-sectors from the point of view of energy use and structural change. Based on the energy use and value added data input by the user, the MASTER tool conduct the decomposition analysis for different time periods in the past or in the future chosen by the user. The decomposition analysis results can also be viewed by industrial subsectors. The tool also presents the energy use, value added, and energy intensity trends in graphical form.
Process Heating Assessment and Survey Tool (Excel Version) - PHASTEx
Process Heating Assessment and Survey Tool (Excel Version) (PHASTEx) conducts an energy assessment or audit of the heating equipment used by many industries to identify energy use distribution, estimate energy losses, as well as analyze potential energy savings by using commonly recommended energy saving measures.
Sewage Sludge Use in Cement Companies as an Energy Source - SUCCESS
The Sewage Sludge Use in Cement Companies as an Energy Source (SUCCESS) tools assists decision makers in implementing sludge-end-use-in-cement schemes with optimal economic and environmental outcomes.
Structure and Manufacturing Resource Tool for Water - SMART-Water
Structure and Manufacturing Resource Tool for Water (SMART-Water) helps quantify the structural change and water intensity change in the industry during the study period and how it affects the industry water use trends.
USEtox Model - USEtox
USEtox™ is a model based on scientific consensus for characterizing human and ecotoxicological impacts of chemicals in life cycle impact assessment. The main output includes a database of recommended and interim characterization factors including environmental fate, exposure, and effect parameters for human toxicity and ecotoxicity. LBNL EAEI scientists were part of the USEtox development team.
Power Sector
eProject Builder
eProject Builder enables Energy Services Companies (ESCOs) and their contracting agencies to upload and track project-level information; generate basic project reports required by local, state, and/or federal agencies; and benchmark new Energy Savings Performance Contract (ESPC) projects against historical data.
FINancial impacts of Distributed Energy Resources (FINDER) Model - FINDER Model
The FINancial impacts of Distributed Energy Resources (FINDER) Model is used to quantify the impacts of EE, DR, and/or DG on utility shareholders (reported as earnings and ROE impacts) and utility customers (reported as customer bills and rates). Can also assess the resource costs and benefits of various portfolios of EE, DR, and/or DG.
Interruption Cost Estimate Calculator - ICE Calculator
The Interruption Cost Estimate (ICE) Calculator tool is designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements in the United States.
Resource Planning Portal
The Resource Planning Portal is a web-based tool that allows users to: input electric utility planning information in a consistent format; benchmark planning assumptions across jurisdictions; and output results in a standardized format for deeper analysis.
Transportation
Vehicle Technology Adoption for Greenhouse Gas Mitigation - VTAG
VTAG is a Python-based model for applying sales-based alternative vehicle consumer adoption curves to baseline U.S. Annual Energy Outlook vehicle sales projections in order to model the resulting automobile-related energy use and greenhouse gas emissions through 2050. The model is implemented on a county level and accounts for population growth, regional differences in driving behavior, and changes to fuel availability and vehicle fuel economy.