Imperial College London
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Prof. Sandro Macchietto

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6608s.macchietto Website

 
 
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Assistant

 

Mrs Sarah Payne +44 (0)20 7594 5567

 
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Location

 

ACEX 507aACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ho:2016:10.1016/j.rser.2015.12.097,
author = {Ho, WS and Macchietto, S and Lim, JS and Hashim, H and Ab, Muis Z and Liu, WH},
doi = {10.1016/j.rser.2015.12.097},
journal = {Renewable and Sustainable Energy Reviews},
pages = {1100--1107},
title = {Optimal scheduling of energy storage for renewable energy distributed energy generation system},
url = {http://dx.doi.org/10.1016/j.rser.2015.12.097},
volume = {58},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Energy storage (ES) is an important device to ensure operation stability and efficiency of a renewable energy based distributed energy generation (DEG) system. As such, many researchers have modelled the operation (scheduling) of energy storage in a DEG system, where it is mostly portrayed to operate on a daily cycle. In this paper, an analysis of the operation mode of energy storage is presented. Two modes of operation are defined, daily mode (DM) (ES operates in daily cycles) and weekly mode (WM) (ES operates in weekly cycles) which are modelled accordingly. This paper then attempts to analyse and compare between both modes in term of operation and cost. The analysis is performed through a mixed integer linear programming (MILP) model programmed via the General Algebraic Modelling System (GAMS). In general, with high capital cost of ES, it is advisable to program the ES to operate in a DM. The reason to this conclusion is mainly due to three factors, intermittency of renewable resources, varying weather conditions, and discharge rate of ES(s).
AU  - Ho,WS
AU  - Macchietto,S
AU  - Lim,JS
AU  - Hashim,H
AU  - Ab,Muis Z
AU  - Liu,WH
DO  - 10.1016/j.rser.2015.12.097
EP  - 1107
PY  - 2016///
SN  - 1364-0321
SP  - 1100
TI  - Optimal scheduling of energy storage for renewable energy distributed energy generation system
T2  - Renewable and Sustainable Energy Reviews
UR  - http://dx.doi.org/10.1016/j.rser.2015.12.097
UR  - https://www.sciencedirect.com/science/article/pii/S136403211501480X
VL  - 58
ER  -
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