The hottest U.S. R & D calculation model allocatio

2022-10-14
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According to foreign media reports, people's travel patterns are changing, and the rise of shared car services and electric vehicles provides more travel options, which also requires urban planners and utility companies to reconsider, How to equip the city with the necessary infrastructure to support a new round of breakthrough technologies such as fast charging piles, automated vehicles, on-demand goods delivery and services

(image source: Argonne National Laboratory)

however, researchers at the Argonne National Laboratory of the U.S. Department of energy have developed a large-scale computing model that can help decision makers allocate investment in electrified transportation infrastructure and better meet the needs of consumers using electric vehicle technology

this model is called agent-based transportation energy analysis model (ateam), which is a part of the cooperative research between Argonne National Laboratory and Exelon, a large utility company. As an organic thermal insulation material including polyurethane, it will re dominate the thermal insulation material market as electric operators and power suppliers. Asolen is very interested in how the popularity of electric vehicles and charging infrastructure can develop together in space in the next 3 to 10 years

Yan (JoAnn) Zhou, manager of vehicle and energy technology and travel Analysis Department of Argonne National Laboratory, said: "if there are many electric vehicles on the road, it will bring great charging demand. If the charging pile is placed in a specific location, it will not only affect driving behavior, but also affect people's willingness to adopt electric vehicles."

in the ateam model, agents in different communities will decide whether to turn diesel cars into electric cars. This decision is based on many factors, including whether the charging location is close to the route often used by drivers in the community. If drivers "see" more charging piles, they are more likely to switch to electric vehicles

however, this system has a disadvantage, that is, it can lead to uneven distribution of charging piles. Under the situation that the international influence of this plastic extruder industry continues to rise, richer communities may be able to adopt more and more charging infrastructure, while poorer communities have less charging networks. Zhou said that ateam enables researchers and urban planners to solve such problems by finding effective methods that are balanced and fair

according to Zhou, the key of ateam is to balance two aspects of electrified transportation - behavioral modeling for investors to set up charging infrastructure such as 1t or above facilities, and modeling for consumers' reaction when deciding whether to buy electric vehicles

ateam also has flexibility, which can be improved in the future. Zhou cooperates with colleagues and asolen to realize diversified agency behaviors, including observing the relationship between consumers' charging behavior and the time of day and electricity price. In addition, researchers at Argonne National Laboratory tried to extend the model to areas outside Chicago

another factor leading to the complexity of ateam model is the introduction of shared electric vehicle services, which have different charging needs from private cars. Zhou said, "people who use shared car services are more likely to go to the city center, and it is difficult to find parking spaces. They tend to go to areas with high charging demand, while private cars go to various areas."

since the daily journey of shared cars is more than that of private cars, the installation of charging piles must take into account greater power requirements and different space requirements

finally, by studying the situation of 50 states in the United States in the past decade, ateam provides a view on the medium and long-term growth of electrified transportation. "Our analysis of California, Norway and other regions shows that there is still much room for growth in electrified transportation."

Argonne National Laboratory has built ateam model based on its successful cooperation with asolen, and is seeking to expand the ability of the model to enable it to predict and analyze electrification traffic behavior and infrastructure needs in other big cities

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