Presentation Details
| Privacy-Preserving Geometry-Driven Capacity Factor Limit for Residential Solar PV Fleets via Data-Adaptive Irradiance Modelling Hesan Ziar1, William Beuttell1, Marc Korevaar 1, Christian A.Gueymard 2. 1Kipp & Zonen B.V., Delft, Netherlands.2Solar Consulting Services, Colebrook, NH, USA |
Abstract
As solar photovoltaic (PV) systems are intensively installed on buildings roofs and facades, a deeper understanding of how key performance indicators of PV systems are related to the geometrical features of their surroundings is required. Here, we investigate the fundamental link between the geometry of urban areas and the Capacity Factor (CF) of residential PV system fleets. It is accomplished using a probabilistic irradiance modeling framework. We break down the capacity factor limit of residential PV into three key terms, and derive a limiting threshold for the CF of PV systems in urban areas. We validate this threshold using data from two fleets of PV systems in the Netherlands. This threshold, which is quickly calculated, can help energy investors, city planners, and grid operators take more informed decisions.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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