Modeling and simulation of building energy consumption
Article Sidebar
Main Article Content
Abstract
Building energy consumption represents much of the total energy consumed in advanced countries. For this reason, the aim of this paper is to study the energy consumption profile by day for each domestic appliance: controllable appliances (heating, ventilation and air conditioning, electric water heater, dishwasher, washing machine) and non-controllable appliances (oven, TV, PC, iron, refrigerator and freezer) where the modeling and the simulation based on MATLAB/Simulink software are presented.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
Ahmed, M. S., Mohamed, A., Homod, R. Z., Shareef, H., & Khalid K. (2016). Modeling of electric water heater and air conditioner for residential demand response strategy, International journal of applied engineering research. 11(16), 9037-9046.
Ahmed, T., Ahmad, A., & Toki, A. (2016). Fuzzy logic controllet for washing machine with five input and three output, International Journal of latest Trends in Engineering and Technology (IGLTET). 7.
Bissey, S., Jacques, S., Chaeles, J., & Bunetel, L. (2017). La logique floue au cœur d’un algorithme d’optimisation de la consommation d’energie electrique d’une habitation individuelle, Conférence des Jeunes Chercheurs en Genie Electrique (JCGE), HAL Id: hal-01580300.
Ciabattoni L., Grisotomi M., Ippoliti G., & Longhi S. (2014). Fuzzy logic home energy consumption modeling for residential photovoltaic plant sizing in the new Italian scenario, Energy, (74), 359- 367.
Costanzo, G. T., Bacher, P., & Madsen, H. (2013). Grey-box modeling for system identification of household refrigerators: a step toward smart appliances. 4th International Youth Conference on Energy (IYCE). Hungary.
Dejvises, J., & Tanthanuch, N. (2016). A simplified air-conditioning systems model with energy management, Internationa Electrical Engineering Congress. Procedia Computer Science. 86, 361-364.
Demetgul, M., Ulkir, O., & Waqqr, T., (2014). Washing machine using fuzzy logic, Automatic control and intelligent systems. 27-32.
El Khaldi, J., Bousslimi, L., Werteni, H., & Lakhoua M. N. (2021). Overview on modeling and management of smart, Independent Journal of Management and Production, 12(5).
Fanti, M. P., Mangini, A. M., & Roccotelli, M. (2018). A simulation and control model for building energy management, Control Engineering Prectice. 72, 192-205.
Glaa, R., Jeddi, N., Lakhoua, M. N., & El Amraoui, L. (2017). Application of system modeling and simulation of the photovoltaic production, Advances in Science and Technology Research Journal. 11(3).
Glaa, R., Lakhoua M. N., & El Amraoui L. (2016). Application of System Modeling of the Renewable Energy Production, ICRAES’2016, Hammamet, Tunisia.
Glaa, R., Lakhoua, M. N., & El Amraoui, L. (2016). Using SA-RT method and SCADA for the analysis and the supervision of an hydrogen circuit, Journal of Electrical Engineering. 16(3).
Glaa, R., Lakhoua, M. N., & El Amraoui, L. (2017). Analysis and System Modeling of a Smart Grid: Case Study of the Operations Domain, GECS’2017, Hammemet, 23-25 March.
Harmin, A., Merzouk, M., Boukar, M., & Amar, M. (2012). Mathematical modeling of a box type solar cooker employing as asymetric compound parabolic concentrator, Solar Energy. (86), 1673-1682.
Hatagar, S., & Halase, S. V. (2015). Three input-one output fuzzy logic control of washing machine, International Journal of scientific research engineering and technology (IJSRET). 4.
Issi, F., & Kaplan, O. (2018). The determination of load profiles and power consumptions of home appliances, Energies. 11(3).
Le, K. (2008). Gestion optimale des consommations d’energie dans les batiments, Sciences de l’ingénieur, These, Institut National Polytechnique de Grenoble-INPG ; Français.
Mirakhorli, A., & Dong, B. (2018). Market and behavior driven predictive energy management for residential buildings, Sustainable cities and society. (38), 723-735.
Pouresmaeil, E., Gonzalez, J. M., Canizares, A., & Bhattacharya, K. (2013). Development of a smart residential load simulator for energy management in smart grid, IEEE Transaction on power system. 1-8.
Saleh, A., & Mosa, M. (2016). Analysis of control strategies and simulation of heating systems using Simulink/Matlab potential, Journal of Thermal Engineering. 2(5).
Shad, M., Momeni, A., Diduch, C. P., Kaye, M., & Chang, L. (2012). Parameter identification of thermal models for domestic electric water heaters in a direct load control program, Canadian conference on electric and computer engineering (CCECE).
Shad, M., Momeni, A., Errouissi, R., Diduch, C. P., Kaye, M. E., & Chang, L. (2017). Identification and estimation for electric water heater in direct load control programs, IEEE Transactions on Smart Grid. 8(2).
Sossan, P. (2016). Grey-box modelling of a household refrigeration unit using time series data in application to demand side management, Sustainable Energy. Vol.5, March 2016, 1-12.
Thinzar, K., & Soe, T. Z., (2016). Operation system of washing machine with fuzzy logic control system and construction of detergent box, International Journal of science, engineering and technology research (IJSETR). 5.
Wertani, H., Ben Salem, J., & Lakhoua, M. N. (2021). Contribution to the systemic modeling of a photovoltaic devices, Independent Journal of Management and Production, 12(8).
Zhang, D., Shuhui, L., Sun, M., & O’Neill, Z. (2016). An optimal and learning-based demand response and home energy management system, IEEE transactions on smart grid. 7(4).
Zuñiga, K. V., Castilla, I., & Aguilar, R. M. (2014). Using fuzzy logic to model the behavior of residential electrical utility customers, Applied energy. (115), 384-393.