Analysing the Impact of Storage and Load Shifting on Grey Energy Demand Reduction

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.

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