By Topic

Optimization modeling in energy storage applied to a multi-carrier system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Schulze, M. ; Swiss Fed. Inst. of Technol. Zurich, Zurich, Switzerland ; Del Granado, P.C.

This paper analyzes prospects in future energy networks to meet expected demand with a multi-carrier energy system in dependence of storage power. We describe solution approaches to solve a multi-period optimization model that combines different energy storages within a network of clusters of local energy converters and storages, so called “Energy Hubs”. The planning of the Energy System is tested through a case study with demand, prices and renewable energy generation data across a total of one week. Three storage devices operate along with intermittent renewable energy sources which are combined to a multi power generation system conceptualized on the Energy Hub Model. To develop a better approach, the idea of energy storage strategy is examined on the basis of the computational optimization system to identify the finest energy storages configuration in presence of intermittent renewable energy sources. Analytical results show the ability of the synergy of energy carriers combined with storages remarkably contributed to an energy balance.

Published in:

Power and Energy Society General Meeting, 2010 IEEE

Date of Conference:

25-29 July 2010