The evolutionary tack optimized the snaking arrangement of cooling tubes in the rooftop unit’s heat exchanger. The unit’s U.S. manufacturer subsequently implemented the changes as a prototype for NIST. The computer-generated design yielded a 3 percent gain in overall performance, confirming the results of prior analysis by NIST researchers.
That amount of improvement could be enough for a manufacturer to achieve compliance with increasingly stringent energy efficiency standards. It also could translate into material savings — a reduction in the amount of costly copper tubing in a heat exchanger without sacrificing performance.
“What we're doing is identifying the best possible route through the heat exchanger for the refrigerant to follow so that it achieves the highest efficiency,” said NIST researcher David Yashar. “Given that the unit we studied has 144 tubes, the number of possible routes determined by a sequence of tube connections is astronomical, impossible for a human to explore using traditional methods.”
The new NIST approach optimizes the connections among refrigerant-containing tubes so that maximum cooling occurs. This entails matching characteristics of incoming air, especially its temperature and velocity, with the temperature and other characteristics of the refrigerant.
“The objective is to optimally pair air and refrigerant at every location in the heat exchanger,” Yashar said. That kind of matchmaking can be extraordinarily difficult, he noted, largely because the flow of air over the winding tubing often is very uneven.
NIST said the proof-of-concept experiment with the rooftop unit demonstrated the practical utility of its approach of combining principles of engineering with those of natural evolution.
Yashar and colleague Sunil Lee first used a laser-based method to map how much and how fast air flows over the original refrigerant circuit. These data were input for a NIST computer model that simulates heat exchanger performance. The team used this model with an algorithm that mimics the laws of evolution. The algorithm develops a population of tubing arrangements and the model evaluates the performance of each design in the population. The best potential tubing circuits from one population served as the starting set for the next generation. After the number-crunching for several hundred generations of tubing circuit options was completed, a top choice emerged.
The ultimate solution was a design that increased the heat exchanger’s potential cooling capacity by 8 percent and, when used to replace the existing design, boosted the entire system’s energy efficiency by 3 percent.
Publication date: 9/23/2013