2019
DOI: 10.1038/sdata.2019.20
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Multiyear microgrid data from a research building in Tsukuba, Japan

Abstract: Microgrids comprising renewable energy technologies are often modelled and optimised from a theoretical point of view. Verification of theoretical systems with data of actually implemented systems in the field rarely occurs in an open manner, especially on the intermediate scale of research buildings. To enable modelling of the actual microgrid performance of a research environment, we present a multiyear dataset of a microgrid with solar arrays and a battery. The main energy datasets comprise data per second … Show more

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Cited by 15 publications
(16 citation statements)
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“…In order to define the worst ramp-down event of PV power variations, a real-world dataset of measured PV generation was analyzed in this study. The dataset is extracted from microgrid data of a research building in Tsukuba, Japan [52]. The dataset recorded the actual output power of a 90.84 kW PV system starting from 1 January 2015 to 24 April 2018 [52].…”
Section: Dynamic Simulationmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to define the worst ramp-down event of PV power variations, a real-world dataset of measured PV generation was analyzed in this study. The dataset is extracted from microgrid data of a research building in Tsukuba, Japan [52]. The dataset recorded the actual output power of a 90.84 kW PV system starting from 1 January 2015 to 24 April 2018 [52].…”
Section: Dynamic Simulationmentioning
confidence: 99%
“…The dataset is extracted from microgrid data of a research building in Tsukuba, Japan [52]. The dataset recorded the actual output power of a 90.84 kW PV system starting from 1 January 2015 to 24 April 2018 [52]. With a high 1 s time-step resolution, this dataset conserves all essential dynamic characteristics of PV power fluctuations.…”
Section: Dynamic Simulationmentioning
confidence: 99%
“…For example, utility smart meter data, HVAC control system data, lighting system data, and submetered electricity and gas data are often obtained on a research-project specific data, and restricted by NDAs or other data sharing restrictions. There is a nascent body of shared operational datasets for buildings, including for example [8][9][10] .…”
Section: Background and Summarymentioning
confidence: 99%
“…As far as energy storage is concerned, there are many other operating strategies. In residential PV-battery storage systems, the operation of the battery can be optimized to achieve an economic optimum [32,33], such as lowest electricity bill, when variables such as varying electricity tariff are taken into consideration. Another valuable strategy would be maximizing battery life [34,35] while not compromising too much of the other objectives such as self-consumption.…”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%