@inbook{411a5cac024848bebe8d19b7457835ed,
title = "Heat integration for superstructure models: A MILP formulation for easy implementation and fast computing",
abstract = "This work presents a mixed-integer linear programming (MILP) heat integration model tailored to superstructure optimization. It includes energy targeting based on a transshipment model combined with linearized heat exchanger capital costs. A variable number of heat utilities at different temperature levels can be implemented. In addition, the model facilitates the utilization of high temperature heat pumps to benefit from low exergy waste heat. The heat integration model is part of the Open sUperstrucTure moDeling and OptimizatiOn fRamework (OUTDOOR) and thus can be accessed easily using its intuitive excel-based interface. A model evaluation of the MILP shows low cost deviations of 1–14 % compared to more complex models, with fast solution times. Additionally, a practical superstructure case study is presented, where internal heat recovery reduces the external heat consumption of a power-to-methanol process by 40 %, thus underlining the relevance for adequate consideration.",
keywords = "Heat integration, MILP, Open-source, Superstructure optimization, NLA",
author = "Philipp Kenkel and Timo Wassermann and Edwin Zondervan",
note = "Funding Information: Funding of this research by the German Federal Ministry for Economic Affairs and Energy within the KEROSyN100 project (funding code 03EIV051A) is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",
year = "2022",
month = jan,
doi = "10.1016/B978-0-323-85159-6.50195-0",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier",
pages = "1171--1176",
booktitle = "Computer Aided Chemical Engineering",
}