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Article

Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations

iHomeLab—Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland
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Energies 2020, 13(20), 5393; https://doi.org/10.3390/en13205393
Received: 31 August 2020 / Revised: 1 October 2020 / Accepted: 5 October 2020 / Published: 15 October 2020
(This article belongs to the Special Issue Analysis of Solar Photovoltaic Self-Consumption)
Grid-connected photovoltaic (PV) capacity is increasing and is currently estimated to account for 3.0% of worldwide energy generation. One strategy to balance fluctuating PV power is to incentivize self-consumption by shifting certain loads. The potential improvement in the amount of self-consumption is usually estimated using smart meter and PV production data. Smart meter data are usually available only at sampling frequences far below the Nyquist limit. In this paper we investigate how this insufficient sampling rate affects the estimated self-consumption potential of shiftable household appliances (washing machines, tumble dryers and dishwashers). We base our analyses on measured consumption data from 16 households in the UK and corresponding PV data. We found that the simulated results have a marked dependence on the data sampling rate. The amount of self-consumed energy estimated with data sampled every 10 min was overestimated by 30–40% compared to estimations using data with 1 min sampling rate. We therefore recommend to take this factor into account when making predictions on the impact of appliance load shifting on the rate of self-consumption. View Full-Text
Keywords: PV self-consumption; load shifting; renewable energy; demand response; sampling rate; simulation PV self-consumption; load shifting; renewable energy; demand response; sampling rate; simulation
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MDPI and ACS Style

Voinov, P.; Huber, P.; Calatroni, A.; Rumsch, A.; Paice, A. Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations. Energies 2020, 13, 5393. https://doi.org/10.3390/en13205393

AMA Style

Voinov P, Huber P, Calatroni A, Rumsch A, Paice A. Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations. Energies. 2020; 13(20):5393. https://doi.org/10.3390/en13205393

Chicago/Turabian Style

Voinov, Philippe; Huber, Patrick; Calatroni, Alberto; Rumsch, Andreas; Paice, Andrew. 2020. "Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations" Energies 13, no. 20: 5393. https://doi.org/10.3390/en13205393

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