Winner of an R&D 100 Award and a Berkeley Lab Director's Award for Technology Transfer, BETTER uses minimal computing resources and data inputs to benchmark a building’s or portfolio’s energy use against peers; quantify energy, cost, and greenhouse gas (GHG) savings potential for investors; and recommend energy efficiency improvements, targeting specific energy savings levels.
The Distributed Energy Resources Customer Adoption Model (DER-CAM) is an economic and environmental model of customer DER adoption. Using state-of-the-art optimization techniques, it assesses distributed energy resources and loads in microgrids and finds the optimal combination of generation and storage equipment to minimize energy costs and/or CO2 emissions at a given site, while also considering strategies such as load-shifting and demand response.
National Impact Analysis (NIA) assesses aggregate impacts of potential efficiency standards for appliances and commercial equipment.
Link to website for download:
Click on the link below and select a product of interest. Then click on the link for "National Impact Analysis." You can also refer to the link for "Technical Support Document" and go to Chapter 10.
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.
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.
The Energy Efficiency Assessment and Greenhouse Gas Emission Reduction Tool for the Iron and Steel Industry tool give the energy saving potential and cost of the energy efficiency technologies that the user chooses as applicable to their steel plants.
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 Structure and Energy Research (MASTER) helps users to understand how different factors (production growth, industry structural change, and energy intensity change) influence industrial energy use trends over time.
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.
Winner of an R&D 100 Award, The Benchmarking and Energy Saving Tool for Low-Carbon Cities (BEST Cities) provides analysis of local energy and carbon performance, and recommends strategies to achieve energy savings and citywide carbon emissions reductions.
The China 2050 Demand Resources Energy Analysis Model (DREAM) is a comprehensive analysis of energy policies, future scenarios, supply options, and energy, emissions, and pollutants analysis.
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) analyzes a city’s greenhouse gas inventory, providing scenario generation of future energy and emissions and evaluation of the impacts of different policies.
India 2050 DREAM is a detailed bottom-up Energy End-Use Model for India to develop energy future pathways according to assumptions on technology improvements, lifestyle behavior changes, and policy implementations.
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.