A MILP Optimization Method for Building Seasonal Energy Storage: A Case Study for a Reversible Solid Oxide Cell and Hydrogen Storage System

A MILP Optimization Method for Building Seasonal Energy Storage: A Case Study for a Reversible Solid Oxide Cell and Hydrogen Storage System

A new method for the optimization of seasonal energy storage is presented and applied in a case study. The optimization method uses an interval halving approach to solve computationally demanding mixed integer linear programming (MILP) problems with both integer and non-integer operation variables (...

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Bibliographic Details
Main Authors: Oscar Lindholm, Robert Weiss, Ala Hasan, Frank Pettersson, Jari Shemeikka
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Buildings
Subjects:
energy storage
hydrogen
power-to-gas
reversible solid oxide cell
optimization
mixed integer linear programming
Online Access:https://www.mdpi.com/2075-5309/10/7/123

Internet

https://www.mdpi.com/2075-5309/10/7/123

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