Sentences with phrase «energy model assumptions»

Fourth, I changed the heat recovery ventilator (HRV) to a model that is available from a US distributor and changed the energy model assumption that tenants would open windows at night for cooling.

Not exact matches

The resulting kinetic energy data of the 4D model fits well with observed measurements, in comparison with previous models (shown with the purple and green symbols) without special assumptions.
On the limited information available to me, they seem quite promising — but it certainly would have been helpful in making judgments on this point if the IPCC had modelled a low - medium population projection (as in the A1 and B1 scenarios) which made more moderate assumptions about growth in output and energy use.
Mr. Head specializes in STAMP modeling, a form of economic analysis that has been criticized for its limitations and poor assumptions in the case of energy analysis.
On the limited information available to me, they seem quite promising — but it certainly would have been helpful in making judgments on this point if the IPCC had modelled a low - medium population projection (as in the A1 and B1 scenarios) which made more moderate assumptions about growth in output and energy use.
There is no modelling of any orbital variations in incoming energy, either daily, yearly or long term Milankovitch variations, based on the assumption that a global yearly average value has a net zero change over the year which is imposed on the energy forcing at the TOA and the QFlux boundary etc..
However, these models are much more complex and better validated than the 1 - D energy balance model used in these constraints, so the more correct view is that the simplistic assumptions needed in his approach don't seem to work in more sophisticated set - ups, and thus are unlikely to be valid in the real world.
Whilst these assumptions ensured hot water and lighting energy use weren't underestimated, they were then fed into the thermal model as heat sources, and, with a good wodge of insulation, the model showed that a wellinsulated house might not need any heating at all.
WRI's response highlights questionable assumptions in Dr. Thorning's modeling and outlines the benefits of industrial sector energy efficiency improvements.
[2] Although policymakers often refer to the results generated by these models to justify imposing burdensome regulations on the energy sector of the U.S. economy, the fundamental assumptions underlying these models have a number of serious deficiencies.
To find out, the researchers plugged better cost information and more aggressive cost - curve assumptions into REMIND, a «global inter-temporally optimizing energy — economy model that has been extensively used for analyses of climate policies.»
When energy modelling is carried out, the models contain assumptions and default values that don't reflect the design.
Today's climate models are even more clever and complex, dependent on questionable assumptions and massaged data, unable to predict temperatures or climate events, and employed to justify costly energy and economic policies.
Incorporation of information typically used as input assumptions by integrated assessment models of the global energy - economy - land use system, or by global - scale climate impact models of different sectors.
Its annual World Energy Outlook (WEO) is considered the gold standard in energy modeling, producing endless media coverage and shaping the assumptions of policymakers and the investment Energy Outlook (WEO) is considered the gold standard in energy modeling, producing endless media coverage and shaping the assumptions of policymakers and the investment energy modeling, producing endless media coverage and shaping the assumptions of policymakers and the investment class.
Rather than focusing just on methane leakage, the authors of the ERL paper surveyed 23 experts to get their predictions about future natural gas supply and then fed those assumptions into a model of the energy system.
Real - world monitoring to confirm the assumptions made in energy modeling software is important, and I'm glad to see that this monitoring validates the accuracy of PHPP.
The assumptions about renewable energies used in this scenario and the modelling are based on misconceptions.
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 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 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 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 energy was used, inflated the price of new transmission capacity, and overestimated job losses due to assumption of «hypersensitivity to tax rates.
Mr. Head specializes in STAMP modeling, a form of economic analysis that has been criticized for its limitations and poor assumptions in the case of energy analysis.
The projections presented in the AEO are not statements of what will happen but of what may happen given the assumptions in the underlying National Energy Modeling System (NEMS).
While most companies stop short of disclosing details of the «planning scenarios that inform their investment decisions, one can gain insights into their thinking with each annual «Energy Outlook» and the shifts in model input assumptions used.
That gravity is responsible for the 33K in unexplained heating and contrary to the assumptions of the radiative transfer model, increasing the weight of N2O2 in the atmosphere will increase the surface temperature, as more and more molecules are packed into a smaller volume, resulting in a net increase in energy per cubic meter of atmosphere at the surface, which we measure as an increase in temperature.
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