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The challenging synthesis problem is formulated as a Mixed Integer NonLinear Program and tackled with a novel sequential algorithm based on the idea of optimizing the independent mass flow rates of the Rankine cycle superstructure with a derivative-free algorithm. At the lower level, for fixed Rankine cycle and utility mass flow rates, the synthesis of the heat exchanger network is performed with an efficient sequential algorithm. The proposed algorithm is compared against three state-of the-art approaches on six real-world case studies including Organic Rankine cycles, heat pumps/CHP cycles and heat recovery steam cycles with multiple pressure levels. 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