Grants and Contributions:
Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).
The development of an efficient and green stationary, thermal system for medium to heavy duty servicex000D
vehicles has the potential to provide significant technological and sustainability advantages in thex000D
next-generation Air Conditioning and Refrigeration (A/C-R) for transportation. This proposal is built withx000D
partnership with VoltaAir Technology Inc and primarily aims to develop a Life Cycle Cost modeling platformx000D
for VoltaAir's battery powered A/C-R system. The modeling platform is customized and utilized for a detailedx000D
cost-benefit analysis of the electric A/C-R system. The modeling effort in this project will integrate all aspectsx000D
of the energy storage performance, fuel consumption, and life cycle operation to estimate emissions, cost, andx000D
energy use. The company has tested and demonstrated two main lines of products which are currently at earlyx000D
commercialization stage (i.e., IQ and e-FER). Both solutions are powered by VoltaAir's advanced Battery Packx000D
solutions that are currently based on Lead Acid and Lithium Ion technologies. VoltaAir's 100% electricx000D
products aims to lower the cost of ownership and has the capability to excel in many applications such asx000D
Mobile Heating and Cooling, Stationary Equipment, Hotel/Comfort Loads and back up power.x000D
With an exclusive focus on advanced Lithium Ion Batteries, the scope of this project is to develop and employx000D
Life Cycle Cost models for battery powered Auxiliary Power Units (APUs) in commercial vehicles. Thex000D
objective is to optimize battery performance, environmental foot prints, and life cycle cost based on climatex000D
and load conditions and to analyze idle-free modes of new generation VoltaAir's no-idle refrigeration systems.x000D
This R&D effort is further enabling the company to solve more sophisticated battery cost-performancex000D
optimization problems related to battery management system, taking into account the stochastic nature ofx000D
certain exogenous factors (charging cost, fuel cost, customer demand, emission costs, and requiredx000D
performance characteristics).