Electric Vehicles Could Become Lifesavers for Singapore's Energy Grid
In tropical cities like Singapore, afternoon storms pose a significant technical stress to the energy grid, but researchers suggest that parked electric vehicles could provide a solution to this pressing issue.
For large cities located in the tropics, afternoon weather is not just rain; it transforms into serious technical stress for the energy grid. As soon as a cloud covers the sun over a specific area, solar generation in that zone is instantly nullified. This leads to the necessity of transferring gigawatts of electricity from distant locations, which can create additional problems for the energy system.
In Singapore, building new lines to cushion such peaks in energy consumption is nearly a hopeless endeavor. One kilometer of underground cable costs approximately 60 million dollars. Scientists, including Markus Schlepfer from Columbia University, propose an alternative to this expensive solution — the use of parked electric vehicles.
The essence of the proposed method lies in activating the V2G (Vehicle-to-Grid) protocol. During a storm, electric vehicles that are charging automatically convert into sources of power. They become a temporary buffer for their area, covering the electricity deficit. This allows the system to balance locally without overloading the main transmission lines.
Once the front passes, solar panels return to normal operation and begin to 'feed' the batteries of the cars. This approach makes the energy system more flexible and allows the city to 'breathe' in sync with weather cycles, avoiding billion-dollar investments in infrastructure.
A study published in the journal Nature Communications emphasizes that the efficiency of the system depends on the scale of management. Traditional optimization strategies across the entire city often exacerbate the situation, doubling the load on the main lines. Instead, scientists suggest dividing the city into autonomous nodes.
In the case of Singapore, this involves creating 55 planning zones. This approach can reduce the maximum load on the lines by 18 percent on stormy days, which is a significant achievement for energy stability.
To accurately calculate the model, the authors of the study used anonymized data from mobile operators to understand the real logistics of parking in residential and business districts. It turned out that even with a low car ownership rate (one car for every eight residents), the battery resource is more than sufficient to balance the system. This opens up new opportunities for integrating electric vehicles into urban energy networks.