2018
DOI: 10.1016/j.apenergy.2017.11.036
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Quantifying demand flexibility of power-to-heat and thermal energy storage in the control of building heating systems

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Cited by 183 publications
(93 citation statements)
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“…For, the TGA test, the sample was heated at a 3 °C⋅min −1 heating rate and stayed isothermal at 80 °C for 420 minutes. After 60 min, the sample's mass dropped to 74.6% of its initial weight, indicating a loss of five molecules of water, as shown in Equation (12). These results were in good agreement with values available in the literature [72,73].…”
Section: Mgso ⋅ 7h O ⇌ Mgso ⋅ 25h O 45h O δH 1022 J ⋅ G 79 °C (8)supporting
confidence: 88%
See 1 more Smart Citation
“…For, the TGA test, the sample was heated at a 3 °C⋅min −1 heating rate and stayed isothermal at 80 °C for 420 minutes. After 60 min, the sample's mass dropped to 74.6% of its initial weight, indicating a loss of five molecules of water, as shown in Equation (12). These results were in good agreement with values available in the literature [72,73].…”
Section: Mgso ⋅ 7h O ⇌ Mgso ⋅ 25h O 45h O δH 1022 J ⋅ G 79 °C (8)supporting
confidence: 88%
“…THSS can be used in a smart grid system to manage peak power demands as well. Demand side management can be aided with the implementation of thermal storage systems by reducing the required number of alternative heat sources used in houses [12]. THSS are regarded as a promising heat storage technology with the capability of utilizing both sorption and chemical reactions to generate heat.…”
Section: Introductionmentioning
confidence: 99%
“…Progressively decreasing prices for sensing, communication, and computing devices will open up possibilities for improved controls for demand response (DR) as future management systems will be more affordable. A number of studies have investigated the building energy flexibility with a special focus on building heating systems [9][10][11][12][13][14][15][16]. In those studies, DR measures have been applied to electric heating systems, such as heat pump systems or direct electric heating systems.…”
Section: Introductionmentioning
confidence: 99%
“…The work of [19] also follows a bottom-up approach in line with [17], focusing on building energy systems. The authors of [20] introduce a flexibility index, and the authors of [21] an instantaneous power flexibility indicator to quantify the flexibility of the thermal systems of buildings. However, these approaches are suited for larger loads, and require high knowledge of the underlying flexible units.…”
Section: Flexibility Modelling Under Limited Informationmentioning
confidence: 99%