Climate Change
- Emmisions Inventory
- Uncertainty Analysis/Tier2
- Carbon Trading
- Energy Emmisions
Climate Change and Global Warming
At CES our environmental engineers have the capability of using Monte Carlo simulations as a probabilistic approach to uncertainty analysis, and application of decision theory and multi-attribute utility models to offer solutions to a divers number of area problems. In support of the Energy Information Administration, Monte Carlo simulations were used through a Tier2 uncertainty analysis to evaluate the accuracy in the inventory records of green house gas emissions under the recommendations of the Intergovernmental Panel on Climate Change (IPCC) and the Kyoto Protocol. Our analysts are also skilled in multiattribute modeling to help decision makers make decision that optimize a variety of multi-obectives and multiple
Our engineers are familiar the U.S. National Energy Modeling System (NEMS) for application to Canadian energy data. They have experience in energy demand modules for 4 sectors: residential, commercial, industrial, and transportation, data assessment and FORTRAN coding. They acquired expertise in the energy demand area along with forecast needs. They also worked on modeling efforts for the National Energy Technology Laboratory, to include eventual CO 2 sequestration credits in the NEMS runs for the Electricity Capacity Planning sub-module (ECP).
For questions and information, please contact Dr. Souad Benromdhane at: 301-916-0174, or e-mail at Souad@clongen.com