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Technical and Life Cycle Cost Assessment of Zero-Emission Transport Refrigeration Units

Technical and Life Cycle Cost Assessment of Zero-Emission Transport Refrigeration Units
零排放运输制冷机组的技术和生命周期成本评估
批准号:
516263-2017
负责人:
Bedi, Sanjeev
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The development of an efficient and green stationary, thermal system for medium to heavy duty servicevehicles has the potential to provide significant technological and sustainability advantages in thenext-generation Air Conditioning and Refrigeration (A/C-R) for transportation. This proposal is built withpartnership with VoltaAir Technology Inc and primarily aims to develop a Life Cycle Cost modeling platformfor VoltaAir's battery powered A/C-R system. The modeling platform is customized and utilized for a detailedcost-benefit analysis of the electric A/C-R system. The modeling effort in this project will integrate all aspectsof the energy storage performance, fuel consumption, and life cycle operation to estimate emissions, cost, andenergy use. The company has tested and demonstrated two main lines of products which are currently at earlycommercialization stage (i.e., IQ and e-FER). Both solutions are powered by VoltaAir's advanced Battery Packsolutions that are currently based on Lead Acid and Lithium Ion technologies. VoltaAir's 100% electricproducts aims to lower the cost of ownership and has the capability to excel in many applications such asMobile Heating and Cooling, Stationary Equipment, Hotel/Comfort Loads and back up power.With an exclusive focus on advanced Lithium Ion Batteries, the scope of this project is to develop and employLife Cycle Cost models for battery powered Auxiliary Power Units (APUs) in commercial vehicles. Theobjective is to optimize battery performance, environmental foot prints, and life cycle cost based on climateand load conditions and to analyze idle-free modes of new generation VoltaAir's no-idle refrigeration systems.This R&D effort is further enabling the company to solve more sophisticated battery cost-performanceoptimization problems related to battery management system, taking into account the stochastic nature ofcertain exogenous factors (charging cost, fuel cost, customer demand, emission costs, and requiredperformance characteristics).
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