Synapse modeled several different approaches in ReEDS, including taxing imported power based on an assumed level of carbon content, adjusting the stringency of the regional cap - and - trade system (RGGI), and simplifying the demand - side tax.
Using Market Analytics,
Synapse modeled base and alternative scenarios for energy efficiency targets and renewable procurement, in order to estimate the changes in wholesale electricity costs.
Synapse modeled two case studies with AVERT, a tool that uses historical generation and emissions data reported to the EPA by U.S. power plants to estimate the hourly emissions and generation benefits of clean energy policies and programs.
Synapse modeled various Clean Power Plan compliance options to determine how big an impact strong energy efficiency policies can have on the achievability and affordability of complying with EPA's rule.
Synapse modeled and found savings for each of the 48 continental U.S. states.
Synapse modeled a «reference case» in which the utility meets its existing city council - mandated targets for generation capacity, storage, GHG reductions and its other policy - imposed obligations, along with two other cases.
Investing in high levels of clean energy and widespread energy efficiency programs can save money for a majority of households in each of the contiguous states, according to
a Synapse modeling study released today.
Not exact matches
When the layers communicated with each other by passing signals over the
synapse, that was said to
model (roughly) a living neural net.
Whereas the team's
model proved that the presence of more scaffolding proteins available at the far downstream end of the neuron (and into the
synapse) to AMPA receptors increased during LTP, they found the opposite condition for LDP.
«So we wanted to know: Could [such proteins] be contributing to
synapse loss in these
models?»
This insight has led to the development of a biologically plausible molecular
model for
synapse modification in the cerebral cortex.
Based on his biochemical studies, Südhof developed a
model whereby the SNARE complex forms at the
synapse prior to actual Ca2 + - triggered release.
These data substantially increase existing knowledge of
synapse protein phosphorylation and support a
model where the
synapse phosphoproteome is functionally organized into a highly interconnected signaling network.
We will use a glaucoma
model to study whether the gene Sarm1 plays a role in glaucoma - induced axon death and
synapse loss in the retina and brain.
The
synapse between a neuron and a muscle — the neuromuscular junction — of a fruit fly larva turns out to be a good
model for studying how the nervous system works in general, which can be applied to other organisms, including humans.
The study was titled «Effect of canola oil consumption on memory,
synapse and neuropathology in the triple transgenic mouse
model of Alzheimer's disease.»
Synapse, 2011, metal, papier - mâché, plaster, foam, plastic,
modeling clay, pebbles, and string, 59 × 70 × 64».
Synapse implements, assesses, and adapts many commonly used macroeconomic
models, including IMPLAN and REMI, to predict the cascading economic and job impacts of capital projects and spending.
Models developed in - house by
Synapse include the Multi-Sector Emissions
Model (M - SEM) and the U.S. Environmental Protection Agency AVERT displaced emissions m
Model (M - SEM) and the U.S. Environmental Protection Agency AVERT displaced emissions
modelmodel.
Synapse routinely applies industry - standard market simulation
models including Strategist, EnCompass, Market Analytics, PROMOD, and PLEXOS to forecast electricity market prices, calculate avoided costs, analyze market power, review resource planning, and quantify fuel requirements and air emissions.
Synapse performs operational and planning
modeling analyses of electric power systems using industry - standard
models such as Strategist, EnCompass, Market Analytics, PROMOD, and PLEXOS to evaluate long - term energy plans, assess the environmental and economic impacts of policy initiatives, and review utility system
modeling.
Given this,
Synapse and SEA
modeled a number of other scenarios in which the Massachusetts RPS is adjusted to increase by 2 percent per year, rather than 1 percent per year, as it does today.
Using the
Synapse Clean Power Plan Toolkit, a collection of purpose - built in - house tools and commercial
models, including the National Renewable Energy Laboratory's Regional Energy Deployment System (ReEDS)
model,
Synapse examined the comparative cost of state implementation plans that maximize available energy efficiency strategies versus a future in which states are not Clean Power Plan ‐ compliant.
Synapse used NREL's Regional Energy Deployment System (ReEDS)
model to compare the costs of the United States transitioning to a Clean Energy Future with business ‐ as ‐ usual costs.
As technology advances,
Synapse stays on the frontline of
modeling and data analysis.
Synapse developed the Coal Asset Valuation Tool (CAVT), a spreadsheet - based database and
model, to identify and investigate U.S. coal units at risk for retirement.
Regarding the reports on renewable energy standards, Frank Ackerman, a Harvard PhD and Senior Economist with
Synapse Energy Economics, Inc. said the Beacon Hill Institute
models contained «wild overstatement (s) of the cost of wind energy, assumed that expensive backup capacity was always needed and running when wind energy was used, inflated the price of new transmission capacity, and overestimated job losses due to assumption of «hypersensitivity to tax rates.
Synapse also
modeled the impact that energy efficiency and renewable energy have on fossil fuel consumption by grid - connected electric generators using EPA's AVERT.
Synapse recommends that future editions of the AEO incorporate these long - term emission reduction goals in
modeled scenarios.
Synapse has developed a variety of mechanisms for evaluating emissions displaced by energy efficiency and renewable energy, from simple diagnostic metrics to regulatory tools to complex evaluation
models.
Synapse's Coal Asset Valuation Tool (CAVT) is a spreadsheet - based database and
model that analyzes the future economic viability of coal units.
Synapse has developed a suite of purpose - built in - house tools and commercial
models to assist clients in planning for Clean Power Plan compliance.
He also built
Synapse's Coal Asset Valuation Tool (CAVT), a spreadsheet - based database and
model that forecasts the costs for individual coal units to comply with environmental regulations and compares these forecasts to electricity market prices.
Synapse recommends that future editions of the AEO
model scenarios with policies that achieve these long - term emission reduction targets.
AVERT, CAVT, and the 111 (d) Cost Estimate Tool are
models developed in - house by
Synapse for specific applications.
Mr. Knight's recent work at
Synapse includes analyzing the implications of expanding the Regional Greenhouse Gas Initiative by
modeling least - cost strategies for reducing emissions 40 percent below 1990 levels states by 2030.
Working with VT DPS, and using the REMI
model,
Synapse then
modeled the economic impacts (in terms of jobs, real disposable income, and GSP) of these cost changes, and of the associated investments.
You can read more in (Mis) understanding Climate Policy: The role of economic
modelling, a
Synapse report prepared on behalf of WWF - UK and Friends of the Earth.
Synapse's Multi-Sector Emissions
Model (M - SEM) integrates with
Synapse's other
modeling tools and is used in house to examine cross-sector energy consumption shifts or policies.
Synapse also routinely performs operational and planning
modeling analyses of electric power systems using industry - standard
models such as Strategist, Market Analytics, PROMOD, and PLEXOS, and applies economic
models such as REMI and IMPLAN to estimate impacts of electric sector policies and investments on employment, gross domestic or state product, and other metrics.
Synapse's Coal Asset Valuation Tool (CAVT) is a spreadsheet - based database and
model that determines the future economic viability of coal units.
Synapse conducted
modeling of the California ISO (CAISO) area using PLEXOS to assess loads and emissions throughout California based on various California Public Utilities Commission scenarios in connection with the Long Term Procurement Plan proceeding affecting the three largest investor - owned utilities in California.
More about
Synapse's electric system and economic
modeling capabilities.
In a 2012 study, Elizabeth A. Stanton, an environmental economist at
Synapse Energy Economics, noted that projections by the International Energy Agency, on which leading climate
models are based, assume that the least developed countries will fail to close the prosperity gap with the rich of the world.
In the study cited in the report,
Synapse reviewed the HM Revenue and Customs (HMRC) CGE
model, an economic
model developed to analyze tax policies that has been applied to British climate policy proposals (and has found these proposals to be quite expensive).
Synapse develops
models and other tools in - house for specific applications.
Synapse Synapse Energy Generation and Capacity Appendix A Scenarios describes the
model runs.
Like other recent
models from Razer, the mouse offers full RGB capabilities, as well as the ability to program buttons, set up profiles and create macros with the Razer
Synapse software.