This work proposes a sequential approach for the multi-period synthesis of Heat Exchanger Networks (HEN) and Utility Systems of chemical processes and energy systems, including thermal, electric and material storage. The optimization approach is sequential and it consists of three steps: (1) the multi-period Mixed Integer Linear Programming (MILP) energy integration model of Maréchal and Kalitventzeff (2003) determines the optimal utility selection, the size and the operations scheduling (on/off) as well as the size of the storage system which minimizes the linearized utility total costs for a given Heat Recovery Approach Temperature (HRAT), (2) a modified version of the multi-period MILP minimum number of units problem of Floudas and Grossmann (1986) determines the number of matches (heat exchanger units) between hot and cold streams while minimizing the sum of the associated penalty levels, (3) the Non Linear Programming (NLP) multi-period HEN synthesis model proposed by Floudas and Grossmann (1987) finds the HEN with the minimum area. In order to partially overcome the limitations of the sequential approach, HRATs of each stream at each time period, as well as penalty levels associated to each possible heat exchange and the size of utilities are optimized using the derivative-free hybrid algorithm PGS-COM by Martelli and Amaldi (2014).
|Titolo:||Multi-period Sequential Synthesis of Heat Exchanger Networks and Utility Systems including storages|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||02.1 Contributo in Volume|