ETA 2021 Strategic Plan - Flipbook - Page 113
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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