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Waste heat recovery for trucks via organic Rankine cycle is a promisingtechnology to reduce fuel consumption and emissions. As the vehicles areoperated in street traffic, the heat source is subject to strong fluctuations.Consequently, such disturbances have to be considered to enable safe andefficient operation. Herein, we find optimal operating policies for severalrepresentative scenarios by means of dynamic optimization and discuss theimplications on control strategy design. First, we optimize operation of atypical driving cycle with data from a test rig. Results indicate thatoperating the cycle at minimal superheat is an appropriate operating policy.Second, we consider a scenario where the permissible expander power istemporarily limited, which is realistic in street traffic. In this case, anoperating policy with flexible superheat can reduce the losses associated withoperation at minimal superheat by up to 53 % in the considered scenario. As theduration of power limitation increases, other constraints might become activewhich results in part of the exhaust gas being bypassed, hence reduced savings.

Optimal operating policies for organic Rankine cycles for waste heat recovery under transient conditions