Repository hosted by TU Delft Library

Home · Contact · About · Disclaimer ·
 

Optimal resource allocation and load scheduling for a multi-commodity smart energy system

Publication files not online:

Author: Blaauwbroek, N. · Nguyen, P.H. · Shi, H. · Kamphuis, I.G. · Kling, W.L. · Konsman, M.J.
Type:article
Date:2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source:2015 IEEE Eindhoven PowerTech, PowerTech 2015
Identifier: 530892
doi: doi:10.1109/PTC.2015.7232271
ISBN: 9781479976935
Article number: 7232271
Keywords: Combined heat and power · demand-side management · heat pump · multi-commodity · smart energy system · District heating · Economics · Electric power generation · Electric utilities · Energy efficiency · Heat pump systems · Combined heat and power · Demand side managements · Heat pumps · Multi-commodity · Smart energy systems · Energy management systems · ICT · SEM - Service Enabling & Management BIS - Business Information Services · TS - Technical Sciences

Abstract

The increasing introduction of district heating systems together with hybrid energy appliances as heat pumps and micro-combined heat and power installations, results in new opportunities for optimizing the available resources in multi-commodity smart energy systems, including electricity, heat and gas. By 'converting' forms of energy using hybrid energy appliances, and exploiting flexibility from local production and consumption, energy efficiency can be improved significantly. This paper introduces a multi-commodity smart energy system incorporating both heat and electricity and integrating various types of flexible appliances as well as hybrid energy appliances. A management strategy optimally allocates the available resources and flexibility, aiming to perform optimal supply and demand matching as well as to flatten out the net remaining supply or demand over time. The proposed method is applied to a test case, where simulation results confirm that the method forms a suitable solution for the management of the multi-commodity smart energy system. © 2015 IEEE.