Araştırma Makalesi

Demand-Side Energy Management in Smart Buildings: A Case Study

Cilt: 11 Sayı: 2 30 Aralık 2021
PDF İndir
EN

Demand-Side Energy Management in Smart Buildings: A Case Study

Öz

Electrical energy is indispensable in our daily life with the developing technology. The most important feature is reliable and sustainable transmission of electrical energy to consumers is to provide the supply-demand balance in real-time. The ever-increasing demand for electrical energy and gradual depletion of traditional resources used to meet demand and increasing dependence on foreign sources resulted in diverse electricity generation plants. As a result of this diversity, with the increase in importance of electricity storage systems and awareness of energy-saving, Demand Side Management (DSM) gains great importance in ensuring supply-demand balance. DSM reduces costs by scheduling consumption instead of increasing generation to balance supply and demand. Residences constitute a large part of energy consumption worldwide so DSM applications in buildings increase efficient usage of energy. Various management strategies can be used to save energy depending on the building type. In this article, firstly, an overview of Energy Management System (EMS) strategies to increase energy efficiency is presented. Then a case study is carried out in a residential model in Matlab/Simulink environment. The electrical devices were controlled with a Fuzzy Logic Controller (FLC) taking into account comfort, cost, and Demand Response (DR). In addition, Renewable Energy Resources (RES) to demonstrate their contribution were modeled and integrated into the system. Case studies were conducted and a comparative analysis of obtained results was carried out.

Anahtar Kelimeler

Kaynakça

  1. [1] L. Hurtado, P. Nguyen, W. Kling, W. Zeiler, "Building energy management systems—Optimization of comfort and energy use," presented at the 48th International Universities' Power Engineering Conference, Dublin, Ireland, Sept. 2-5, 2013.
  2. [2] M. P. Fanti, A. M. Mangini, M. Roccotelli, "A simulation and control model for building energy management," Control Engineering Practice, vol. 72, pp. 192-205, 2018.
  3. [3] P. H. Shaikh, N. B. M. Nor, P. Nallagownden, I. Elamvazuthi, "Intelligent multi-objective optimization for building energy and comfort management," Journal of King Saud University-Engineering Sciences, vol. 30, no. 2, pp. 195-204, 2018.
  4. [4] F. Wang, L. Zhou, H. Ren, X. Liu, S. Talari, M. Shafie-khah, J. P. Catalao, "Multi-objective optimization model of source–load–storage synergetic dispatch for a building energy management system based on TOU price demand response," IEEE Transactions on Industry Applications, vol. 54, no. 2, pp. 1017-1028, 2017.
  5. [5] O. Akar, U. K.Terzi, T. Sonmezocak and B.K. Tuncalp. “Determination of the optimum Hybrid renewable power system: a case study of Istanbul Gedik University Gedik Vocational School”, Balkan journal of electrical&computer engineering, Vol.7, No.4, pp.456-463, 2019.
  6. [6] U. Civan, "Akıllı binaların çevresel sürdürülebilirlik açısından değerlendirilmesi," Master Thesis, İstanbul Teknik University, Istanbul, Turkey, 2006.
  7. [7] F. M. Bhutta, "Application of smart energy technologies in building sector—future prospects," IEEE International Conference on Energy Conservation and Efficiency, Pakistan, Lahore, Nov. 22-23 2017.
  8. [8] A. Altayeva, B. Omarov, Y. Im Cho, "Multi-objective optimization for smart building energy and comfort management as a case study of smart city platform," presented at the 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems, Bangkok, Thailand, Dec.18-20, 2017.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Aralık 2021

Gönderilme Tarihi

12 Temmuz 2021

Kabul Tarihi

24 Ekim 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 11 Sayı: 2

Kaynak Göster

APA
Hasanova, N., & Varbak Neşe, S. (2021). Demand-Side Energy Management in Smart Buildings: A Case Study. European Journal of Technique (EJT), 11(2), 239-247. https://doi.org/10.36222/ejt.969881
AMA
1.Hasanova N, Varbak Neşe S. Demand-Side Energy Management in Smart Buildings: A Case Study. EJT. 2021;11(2):239-247. doi:10.36222/ejt.969881
Chicago
Hasanova, Nazlı, ve Seçil Varbak Neşe. 2021. “Demand-Side Energy Management in Smart Buildings: A Case Study”. European Journal of Technique (EJT) 11 (2): 239-47. https://doi.org/10.36222/ejt.969881.
EndNote
Hasanova N, Varbak Neşe S (01 Aralık 2021) Demand-Side Energy Management in Smart Buildings: A Case Study. European Journal of Technique (EJT) 11 2 239–247.
IEEE
[1]N. Hasanova ve S. Varbak Neşe, “Demand-Side Energy Management in Smart Buildings: A Case Study”, EJT, c. 11, sy 2, ss. 239–247, Ara. 2021, doi: 10.36222/ejt.969881.
ISNAD
Hasanova, Nazlı - Varbak Neşe, Seçil. “Demand-Side Energy Management in Smart Buildings: A Case Study”. European Journal of Technique (EJT) 11/2 (01 Aralık 2021): 239-247. https://doi.org/10.36222/ejt.969881.
JAMA
1.Hasanova N, Varbak Neşe S. Demand-Side Energy Management in Smart Buildings: A Case Study. EJT. 2021;11:239–247.
MLA
Hasanova, Nazlı, ve Seçil Varbak Neşe. “Demand-Side Energy Management in Smart Buildings: A Case Study”. European Journal of Technique (EJT), c. 11, sy 2, Aralık 2021, ss. 239-47, doi:10.36222/ejt.969881.
Vancouver
1.Nazlı Hasanova, Seçil Varbak Neşe. Demand-Side Energy Management in Smart Buildings: A Case Study. EJT. 01 Aralık 2021;11(2):239-47. doi:10.36222/ejt.969881

Cited By