@inbook{78a9ff089e9c4c6d955326d47c1f6179,
title = "Optimal operation of a sustainable water desalination unit integrated a green energy system",
abstract = "In this paper, an optimization framework is proposed in order to optimal operation of a water desalination unit in a sustainable green energy network. The operation problem is modeled as a mixed integer linear programming (MILP) and optimized using a mathematical based optimization algorithm. In order to increase the flexibility of the studied sustainable energy system, a fuel cell unit and hydrogen-based vehicles have been included in the system. Moreover, the uncertainty of stochastic parameters has been considered and a machine learning based method namely long short term memory (LSTM) algorithm is utilized for forecasting of the parameters. The proposed methodology is applied on a typical case study and the simulation results are extracted and discussed.",
keywords = "smart cities, sustainable green energy, Water desalination unit",
author = "Ali Ahmadian and Ali Almansoori and Ali Elkamel",
note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2023",
month = jan,
doi = "10.1016/B978-0-443-15274-0.50463-7",
language = "British English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "2909--2915",
booktitle = "Computer Aided Chemical Engineering",
address = "Netherlands",
}
