Toggle Main Menu Toggle Search

Open Access padlockePrints

An integrated framework for sizing and energy management of hybrid energy systems using finite automata

Lookup NU author(s): Yara Khawaja, Dr Adib Allahham, Professor Damian Giaouris, Professor Sara Walker

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2019 Due to the significance of hybrid energy systems, selecting the appropriate sizing-energy management strategy combination represents a key factor to ensure the efficient operation while offering a competitive operating cost. This paper presents an integrated framework for finding the best size-energy management strategy combination for a hybrid energy system. Fundamental to this framework is utilizing finite automata to develop multiple energy management strategies that fully take into consideration the dynamic relationship between all the assets in the hybrid energy system. The proposed integrated framework consists of three main steps. First, an analytical and economic sizing approach is performed to find the initial sizes of the hybrid energy system assets based on an initial energy management strategy; second, using finite automata to implement the initial energy management strategy and instantiate different energy management strategies; and third, an evaluation model is developed to assess the instantiated energy management strategies and extract the featured conditions to create new-improved one. This new energy management strategy is used to re-exercise the analytical and economic sizing to obtain the best size-energy management strategy combination. The novelty in this work can be summarized as taking the impact of selecting the right energy management strategy on the sizing of a hybrid energy management. This can lead to better performance and can be explained in our integrated framework by reducing the cost, reducing the diesel generator and fuel cell working hours and increasing the photovoltaic utilization. Moreover, using finite automata in implementing and instantiating multiple energy management strategies to attain an improved one has not been reported. A comparison between the results of the proposed framework and the results of the analytical and economic sizing approach is carried out. The size of the photovoltaic is reduced from 140 kW to 60 kW when using the integrated framework and therefore the size of the electrolyzer and the hydrogen tank reduced to the half. Moreover, a reduction in the diesel generator working hours by 35% and in the levelized cost of energy by 40% are achieved.


Publication metadata

Author(s): Khawaja Y, Allahham A, Giaouris D, Patsios C, Walker S, Qiqieh I

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2019

Volume: 250

Pages: 257-272

Print publication date: 15/09/2019

Online publication date: 09/05/2019

Acceptance date: 30/04/2019

ISSN (print): 0306-2619

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.apenergy.2019.04.185

DOI: 10.1016/j.apenergy.2019.04.185


Altmetrics

Altmetrics provided by Altmetric


Share