Analysing the impact of storage and load shifting on grey energy demand reduction

Auteurs

I. S. Razo-Zapata, M. Mihaylov, and A. Nowé

Référence

in Smart Cities, Green Technologies, and Intelligent Transport Systems: 5th International Conference, (SMARTGREENS 2016), and Second International Conference (VEHITS 2016), Rome, Italy, April 23-25, 2016, Revised Selected Papers, M. Helfert, C. Klein, B. Donnellan, and O. Gusikhin (Eds.), Springer, pp. 27-48, 2017

Description

We present an analysis on the application of load shifting and storage to enhance the use and penetration of green energy while decreasing grey (non-environmentally friendly) energy demand. We use multi-agent-based simulations that are fed with real data to analyse the impact of load shifting and storage on energy consumption as well as energy prices. We show results for scenarios in which storage is placed at different locations. In this way, results suggest that up to 15% reduction in grey energy consumption is feasible during peak times. Nonetheless, if the percentage of distributed renewable resources grows to 50%, higher reductions can be achieved, i.e. up to 50%. Finally, an important finding suggests that distributed storage helps to keep prices for green energy low.

Lien

doi: 10.1007/978-3-319-63712-9_2