2019
DOI: 10.3390/app9030581
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Smart Appliances for Efficient Integration of Solar Energy: A Dutch Case Study of a Residential Smart Grid Pilot

Abstract: This paper analyzes the use patterns of a residential smart grid pilot in the Netherlands, called PowerMatching City. The analysis is based on detailed monitoring data measured at 5-min intervals for the year 2012, originating from this pilot which was realized in 2007 in Groningen, Netherlands. In this pilot, smart appliances, heat pumps, micro-combined heat and power (µ-CHP), and solar photovoltaic (PV) systems have been installed to evaluate their efficiency, their ability to reduce peak electricity purchas… Show more

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Cited by 13 publications
(5 citation statements)
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“…These households had with an average of 3.1 residents per household, with a living area of 150-199 m 2 per household. Typically these numbers are both above the Dutch average [23].…”
Section: Pilot Descriptionsmentioning
confidence: 98%
“…These households had with an average of 3.1 residents per household, with a living area of 150-199 m 2 per household. Typically these numbers are both above the Dutch average [23].…”
Section: Pilot Descriptionsmentioning
confidence: 98%
“…Domestic cleaning practices have been targeted by research in assessing the flexibility of such practices within the household [70]. These practices include using the dishwasher and washing machine, a practice which involves a technological medium and is potentially highly flexible [105]. These consumption activities can be shifted through manual and/or semi-automated demand response strategies [49][50][51][52][53][54][55][56].…”
Section: Energy Practices and Demand Managementmentioning
confidence: 99%
“…Energy storage presents a similar challenge. Storage can play a vital role in accommodating variable renewable generation into the electricity system [5,[11][12][13][14][15] and therefore act as HC enhancement that enables various applications in demand-side management and flexible loads [16]. But, like solar PV, a large fraction of storage capacity will likely be connected to distribution networks and is therefore invisible to transmission system operators and beyond the scope of high-level expansion planning models.…”
Section: Introductionmentioning
confidence: 99%