Publication | Open Access
The extended resource task network: a framework for the combined scheduling of batch processes and CHP plants
43
Citations
10
References
2011
Year
Mathematical ProgrammingCluster ComputingEngineeringIndustrial EngineeringEnergy EfficiencyChp PlantsEnergy Systems EngineeringGeneric Milp FormulationOptimal System DesignOperations ResearchCombined SchedulingEnergy OptimizationSystems EngineeringParallel ComputingBatch ProcessesJob SchedulerGraphical FormalismComputer EngineeringPower System OptimizationScheduling (Computing)Multi-energy SystemsInteger ProgrammingSmart GridEnergy ManagementSite Utility SystemsScheduling ProblemProduction SchedulingScheduling (Production Processes)Resource Optimization
The issue of energy has emerged as one of the greatest challenges facing mankind. In an industrial perspective, the development of site utility systems (generally combined heat and power (CHP) systems) for the generation and management of utilities provides a great potential source for energy savings. However, in most industrial sites, a master–slave relationship usually governs this kind of system and limits the potential operating capacity of CHP. To improve the decision-making process, Agha et al. (2010. Integrated production and utility system approach for optimising industrial unit operation. Energy, 35, 611–627) have proposed an integrated approach that carries out simultaneous and consistent scheduling of batch production plants and site utility systems. The modelling of the problem relies on a mixed integer linear programming (MILP) formulation. Nevertheless, although it is a powerful mathematical tool, it still remains difficult to use for non-expert engineers. In this framework, a graphical formalism based on existing representations (STN, RTN) has been developed: the extended resource task network (ERTN). Combined with an efficient and generic MILP formulation, it permits various kinds of industrial problems, including production and consumption of utility flows to be modelled homogenously. This paper focuses on the semantic elements of the ERTN formalism and illustrates their use through representative examples.
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