ETA 2021 Strategic Plan - Flipbook - Page 57
RM&V 2.0: An open-source application for performing
advanced measurement and verification (M&V 2.0)
using free R software. RM&V’s modeling approach is
fully transparent and follows methods published by
IPMVP, ASHRAE, and LBNL. The intent of this package is
to help M&V practitioners perform with a high level of
automation for commercial building projects.
Sewage Sludge Use in Cement Companies as an
Energy Source (SUCCESS): A tool that assists decision
makers in implementing sludge-end-use-in-cement
schemes with optimal economic and environmental
outcomes.
Standard Energy Efficiency Data (SEED) Platform™:
Provides public agencies and other organizations with
a standardized but flexible, cost-effective, secure,
enterprise data platform to manage portfolio scale
building performance data from a variety of sources.
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.
Techno-Economic Analysis and
Life-Cycle Assessment Tools
Reverse Engineering Targets for Advanced
Hydrogen Storage (RETOOL): Allows users to input
cost and performance targets for select hydrogen
storage systems and generates the necessary
material properties required from an automated
technoeconomic analysis.
LIGHTnUp: A tool that captures manufacturing-sector
and product life-cycle energy consumption implications
of manufacturing innovation measures and is used
to inform RD&D investments by the U.S. Advanced
Manufacturing Office.
Data Center Energy Use Model: Estimates national
and global electricity use demand from data center
operations. A bottom-up that considers the direct
energy use of different data center IT devices used for
digital services and the direct energy use associated
with data center infrastructure equipment in different
data center facility types. Multiple data center facility
types are defined in the model to represent differences
in devices, infrastructure equipment, and operating
practices across different data centers.
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Organic Recycling Facility Optimization (ORFO): A
mixed-integer linear programming model that optimizes
the waste infrastructure system according to both
societal economic cost and greenhouse gas emissions
optimization criteria.
Organic Recycling Facility Investment (ORFI): A model
to simulate private sector organic waste management
and waste-to-energy development in California based
on relative profitability of facilities of different types and
sizes, at different locations, and under different energyrelated economic incentive levels.
Agile Cradle-to-Grave / Bio Cradle-to-Grave
(AgileC2G/BioC2G): An integrated process-based cost
and hybrid process-based/physical units input-output
life-cycle assessment model.
Biositing Tool: A web-based geospatial tool for
assessing local biomass, organic waste, and waste
plastic resources available for conversion across the
continental United States.
Separations Decision Tool: A web-based decision
tool for designing product separations and recovery
processes and estimating capital and operating costs
for biological conversion processes based on product
properties and microbial host.
VirtualMRF: A Python-based model for designing and
simulating materials recovery facilities based on varying
incoming waste streams and target recovery rates and
target plastic bale specifications.
Indoor Air Quality and Air
Transport Modeling
Berkeley-Trent Continental-Scale Pollutant Fate and
Transport Model (BETR North America and BETR
Global): Analyzes how persistent organic pollutants
move and accumulate.
California Greenhouse Gas Emission Measurement
(CALGEM): Quantifies California greenhouse gas
emissions from anthropogenic activities and natural
environments using atmospheric measurements and
analysis.
Residential Diagnostics Database (ResDB): A
residential envelope and duct leakage database used for
energy and indoor air quality assessments.
Market, Economic, Financial,
and Policy Analysis and
Assessment Tools
China 2050 Demand Resources Energy Analysis
Model (DREAM): Comprehensive analysis of energy
policies, future scenarios, supply options, and energy,
emissions, and pollutants analysis.
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
Model (FINDER): Quantifies the impacts of energy
efficiency, demand response, and/or distributed
generation on utility shareholders and utility
customers.
Resource Planning Portal: 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.
50001 Ready Navigator: An online application that
provides step-by-step guidance for implementing
and maintaining an energy management system in
conformance with the ISO 50001 Energy Management
System Standard.
Transportation Sector Analysis
and Planning
Behavior, Energy, Autonomy and Mobility (BEAM):
An agent-based transportation systems simulation
model that recreates regional travel patterns for work
and non-work activities including roadway vehicle
and transit flows for a synthetic population of agents
including individuals and households. BEAM also
simulates daily travel of all agents, by time of day and
travel mode subject to constraints about the timing,
travel time, and cost of alternate modes and routes
within the regional transportation system. BEAM reveals
energy consumption, emissions, travel time, and mode
choice impacts at the regional scale and at the level
of individual agents to emerging mobility services and
technologies.
Mobiliti: An urban-scale transportation system
simulator that implements parallel discrete event
simulation on high-performance computers in order to
provide insights into transportation dynamics in minutes
of compute time. Integration of diffusion convolutional
neural networks trained with infrastructure sensors
(inductive loops in the highway) and a variety of
optimization algorithms for dynamic traffic assignment
creates a rich platform to engage the transportation
community in the design of next-generation active
congestion control strategies, including active control of
vehicle routing across connected fleets.
Medium and Heavy-Duty Electric Vehicle
Infrastructure Load Operations and Deployment
(HEVILOAD): A new software tool to project charging
infrastructure needed to decarbonize trucking and
to reduce the impact of diesel air pollution by onroad medium- and heavy-duty (MDHD) vehicles;
provide a quantitative assessment of optimal charging
infrastructure planning, operation, and deployment with
high spatial and temporal resolution; and evaluate grid
impacts based on MDHD mobility demands.
V2G-Sim: Models the driving and charging behavior of
individual plug-in electric vehicles to generate temporal
and spatial grid-scale impact/opportunity predictions.
Python Grid Discretization Helper (PyGDH
[“pigged”]): A highly flexible package aimed at helping
domain scientists solve arbitrary time-dependent
nonlinear discretized equations on 0D, 1D, and simple
2D spatial domains. A modular battery simulation
package built on PyGDH will be available in the near
future.
Battery Sizing, Testing, and Costing Model (BSTC
Model): A model that incorporates a battery use
profile from an actual use database and combines it
with a battery life model to properly size the battery to
optimize for life, and thereby indicate the allowable cost
of the battery system for a targeted levelized cost of
storage. The model also can prescribe a simplified test
protocol in the place of the anticipated use profile that
will result in the same degree of battery degradation in
the same amount of time.
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