Scheduling optimization of a cabinet refrigerator incorporating a phase change material to reduce its indirect environmental impact
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Altres documents de l'autoria: Maiorino, Angelo; Mota-Babiloni, Adrián; Del Duca, Manuel Gesù; APREA, CIRO
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Scheduling optimization of a cabinet refrigerator incorporating a phase change material to reduce its indirect environmental impactData de publicació
2021-04-13Editor
MDPIISSN
1996-1073Cita bibliogràfica
Maiorino, A.; Mota-Babiloni, A.; Del Duca, M.G.; Aprea, C. Scheduling Optimization of a Cabinet Refrigerator Incorporating a Phase Change Material to Reduce Its Indirect Environmental Impact. Energies 2021, 14, 2154. https:// doi.org/10.3390/en14082154Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.mdpi.com/1996-1073/14/8/2154Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
Phase Change Materials (PCMs) incorporated in refrigerators can be used to shift their
energy consumption from peak periods, when the electric network energy demand is the highest,
to off-peak periods. While PCMs ... [+]
Phase Change Materials (PCMs) incorporated in refrigerators can be used to shift their
energy consumption from peak periods, when the electric network energy demand is the highest,
to off-peak periods. While PCMs can flatten the energy demand curve, they can achieve economic
savings if Time-of-Use (TOU) electricity tariffs are applied. However, the hourly carbon emission
factor is not commonly linked to the hourly tariff, and the final CO2 emitted due to the operations
of the refrigerator would not be fully optimized. In this work, a method based on the Simulated
Annealing optimization technique was proposed to identify the optimal working schedule of a
cabinet refrigerator incorporating a PCM to reduce its indirect carbon emissions. Data from countries
with different representative carbon intensity profiles were used. The normalized standard deviation
and normalized range are the best statistical indexes to predict carbon emission reduction in the
proposed solution. These parameters proved that countries with a higher hourly carbon intensity
variation (Uruguay, France, Denmark, and Germany) benefit from the application of the algorithm.
Cost and carbon emission reduction cannot be maximized simultaneously, and a trade-off is required. [-]
Publicat a
Energies, Vol. 14, Iss. 8, no. 2154 (April-2 2021)Entitat finançadora
Generalitat Valenciana
Codi del projecte o subvenció
APOSTD/2020/032
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info:eu-repo/semantics/openAccess
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