The dynamic optimisation and optimal control of innovative cyclic chemical processes are challenging because these problems involve apart from temporal periodicity constraints often also Partial Differential Equation (PDE) models and multiple objectives. To allow a fast and efficient generation of the Pareto set, this paper presents a deterministic approach that integrates accurate scalarisation methods for multi-objective optimisation as Normal Boundary Intersection (NBI) and (Enhanced) Normalised Normal Constraint (E)NNC, with a fast direct multiple shooting approach for optimal control. The feasibility of the proposed approach is presented for a reverse flow reactor involving conflicting conversion and energy objectives. In addition, advantages of the NBI and (E)NNC methods over the classic Weighted Sum of the individual objectives have been illustrated. (C) 2012 Elsevier Ltd. All rights reserved.