Abstract

This chapter quantifies how different clean energy communities (CECs) change the grid-friendliness of a community and how they induce intracommunity cash flows through local peer-to-peer trading. Three reference networks are employed—countryside, village, and suburban—for simulating behavior-based residential load profiles. Meteorological data are used to model power generation from solar photovoltaics and wind turbines. CECs are assumed to (potentially) adopt four measures: improve energy efficiency, buy photovoltaic units in bulk, introduce peer-to-peer trading, and install a wind energy converter. Individual measures are found to often create a trade-off between autarky and grid-friendliness, whereas combining measures nearly always improves CEC grid-friendliness.

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