Reber, Joscha ; Kirschstein, Xenia ; Bishara, Nadja
Hrsg.: MDPI Energies (2023)
Evaluation of Building Mass Characterization for Energy Flexibility through Rule- and Schedule-Based Control: A Statistical Approach.
In: MDPI Energies, 16 (19)
doi: 10.3390/en16196878
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
As renewables become more established in the electricity grid, the focus, and therefore adaptability, will need to shift from the generation side to the demand side. Since the building sector accounts for a large share of the energy demand, it will be strongly affected by this development. One possibility for adaptation is so-called demand side management (DSM). To assess the contribution of the building sector to energy flexibility, some key performance indicators (KPIs) have already been developed in previous work. In this study, we investigate and statistically compare two control strategies for temporarily raising the room temperature—one rule-based and one schedule-based—with regard to their influence on the characterization of the building mass as a type of thermal energy storage. In each case, we determine the thermal energy demand of a residential district based on a dynamic simulation that occurred for a period of one year. The rule-based control assigns in the median approximately 60% (mean: 41%) less capacity to the building mass than the schedule-based control for the same boundary conditions. The calculation of the time-independent heating load results in a median difference of 34% (mean: 36%). In addition, the establishment of energy-flexible control in the evening hours just before a night-time reduction in the room temperature has a negative impact on the efficiency of the thermal storage.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2023 |
Autor(en): | Reber, Joscha ; Kirschstein, Xenia ; Bishara, Nadja |
Art des Eintrags: | Bibliographie |
Titel: | Evaluation of Building Mass Characterization for Energy Flexibility through Rule- and Schedule-Based Control: A Statistical Approach |
Sprache: | Englisch |
Publikationsjahr: | 29 September 2023 |
Ort: | Basel |
Verlag: | MDPI |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | MDPI Energies |
Jahrgang/Volume einer Zeitschrift: | 16 |
(Heft-)Nummer: | 19 |
DOI: | 10.3390/en16196878 |
Kurzbeschreibung (Abstract): | As renewables become more established in the electricity grid, the focus, and therefore adaptability, will need to shift from the generation side to the demand side. Since the building sector accounts for a large share of the energy demand, it will be strongly affected by this development. One possibility for adaptation is so-called demand side management (DSM). To assess the contribution of the building sector to energy flexibility, some key performance indicators (KPIs) have already been developed in previous work. In this study, we investigate and statistically compare two control strategies for temporarily raising the room temperature—one rule-based and one schedule-based—with regard to their influence on the characterization of the building mass as a type of thermal energy storage. In each case, we determine the thermal energy demand of a residential district based on a dynamic simulation that occurred for a period of one year. The rule-based control assigns in the median approximately 60% (mean: 41%) less capacity to the building mass than the schedule-based control for the same boundary conditions. The calculation of the time-independent heating load results in a median difference of 34% (mean: 36%). In addition, the establishment of energy-flexible control in the evening hours just before a night-time reduction in the room temperature has a negative impact on the efficiency of the thermal storage. |
Freie Schlagworte: | energy flexibility; active demand response; thermal storage; buildings labeling |
ID-Nummer: | 6878 |
Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Statik und Konstruktion |
Hinterlegungsdatum: | 14 Dez 2023 14:04 |
Letzte Änderung: | 15 Dez 2023 11:28 |
PPN: | 514084634 |
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