Abstract

The active magnetic regenerator (AMR) is an attractive technology for efficient heat pumps and cooling systems. The costs associated with a permanent magnet for near room temperature applications are a central issue which must be solved for broad market implementation. To address this problem, we present a permanent magnet topology optimization to minimize the total cost of cooling using a thermoeconomic cost-rate balance coupled with an AMR model. A genetic algorithm identifies cost-minimizing magnet topologies. For a fixed temperature span of 15K and 4.2kg of gadolinium, the optimal magnet configuration provides 3.3kW of cooling power with a second law efficiency (ηII) of 0.33 using 16.3kg of permanent magnet material.

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