EN
TR
Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption
Öz
Energy efficiency is a top priority among sustainability goals and offers significant economic and environmental benefits. Due to diverse applications and varying energy consumption profiles, many facilities and businesses offer suitable environments for implementing efficiency studies. The healthcare sector, due to its need for continuous service, is another area that can be examined in terms of high energy consumption. This paper has examined the electricity and natural gas usage of a healthcare clinic in Kırklareli, presented the current energy consumption situation, and developed feasible improvement suggestions to increase energy efficiency. Within this scope, energy consumption calculations have been made by evaluating the lighting infrastructure, air conditioning systems, and heating equipment in the clinic. Energy intensity of the clinic has been perused by analyzing the obtained data through indicators of annual energy consumption and ton equivalent petroleum (TEP). As a result of the analyses, an exemplary model for energy management in clinics has been presented. The assessments revealed that natural gas and electricity together constitute a dominant share of total energy consumption. It was shown that implementing scenarios consistent with the data can lead to a decrease in annual energy consumption and a reduction in carbon emissions. Finally, an artificial neural network (ANN) based model has been created to predict future energy demand. The effectiveness of energy applications in small scale healthcare institutions has been highlighted.
Anahtar Kelimeler
Etik Beyan
Ethics committee approval was not required for this study because of there was no study on animals or humans.
Kaynakça
- Acikgoz, M. (2019). Study of energy efficiency for bus repair and maintenance [Yüksek lisans tezi, Gazi Üniversitesi]. YÖK Tez Merkezi (Tez No. 540159).
- Aftatah, M., Khalil, A., & Zebbara, K. (2026). A survey of overfitting mitigation methods in deep learning: From regularization to data augmentation. N. Rouky et al. (Ed.), Artificial intelligence and cognitive sciences for emerging technologies. AICSET 2025: Lecture notes in networks and systems içinde (Cilt 1781). Springer. https://doi.org/10.1007/978-3-032-14430-0_25
- Alagoz, I., Coskun, E., Babaoglu, S., Kaykac, R., & Cidaci, A. (2022). Calculation of 2021 carbon footprint of EÜAŞ Central Campus. Environment Climate and Sustainability, 23(2), 161–166. https://izlik.org/JA95EM33MD
- Altan, A. D., & Sagbas, A. (2020). Turkey's energy efficiency and climate change performance: Current state and future projections. Journal of Productivity, 1, 7–26. https://izlik.org/JA57CH24CX
- Ataseven, B. (2013). Forecasting by using artificial neural networks. Oneri, 10(39), 101–115. https://izlik.org/JA25PB22AU
- Atmaca, M. (2010). The evaluation of building energy performance of hotel buildings with building energy performance calculation methodology of Turkey (BEP-TR) [Yüksek lisans tezi, İstanbul Teknik Üniversitesi]. YÖK Tez Merkezi (Tez No. 292252).
- Balitskiy, S., Bilan, Y., Strielkowski, W., & Štreimikienė, D. (2016). Energy efficiency and natural gas consumption in the context of economic development in the European Union. Renewable and Sustainable Energy Reviews, 55, 156–168. https://doi.org/10.1016/j.rser.2015.10.053
- Barsbay, M. C. (2021). Energy efficiency analysis in public hospitals: An application of radial and non-radial data envelopment analysis models. Pamukkale University Journal of Engineering Sciences, 27(1), 35–42. https://izlik.org/JA25MF28XR
Ayrıntılar
Birincil Dil
İngilizce
Konular
Aydınlatma, Elektrik Tesisleri, Elektrik Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
15 Temmuz 2026
Gönderilme Tarihi
26 Mart 2026
Kabul Tarihi
26 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 9 Sayı: 4
APA
Çarkıt, T., & Karadeniz, Ş. (2026). Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption. Black Sea Journal of Engineering and Science, 9(4), 1592-1606. https://doi.org/10.34248/bsengineering.1916634
AMA
1.Çarkıt T, Karadeniz Ş. Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption. BSJ Eng. Sci. 2026;9(4):1592-1606. doi:10.34248/bsengineering.1916634
Chicago
Çarkıt, Taner, ve Şevval Karadeniz. 2026. “Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption”. Black Sea Journal of Engineering and Science 9 (4): 1592-1606. https://doi.org/10.34248/bsengineering.1916634.
EndNote
Çarkıt T, Karadeniz Ş (01 Temmuz 2026) Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption. Black Sea Journal of Engineering and Science 9 4 1592–1606.
IEEE
[1]T. Çarkıt ve Ş. Karadeniz, “Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption”, BSJ Eng. Sci., c. 9, sy 4, ss. 1592–1606, Tem. 2026, doi: 10.34248/bsengineering.1916634.
ISNAD
Çarkıt, Taner - Karadeniz, Şevval. “Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption”. Black Sea Journal of Engineering and Science 9/4 (01 Temmuz 2026): 1592-1606. https://doi.org/10.34248/bsengineering.1916634.
JAMA
1.Çarkıt T, Karadeniz Ş. Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption. BSJ Eng. Sci. 2026;9:1592–1606.
MLA
Çarkıt, Taner, ve Şevval Karadeniz. “Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption”. Black Sea Journal of Engineering and Science, c. 9, sy 4, Temmuz 2026, ss. 1592-06, doi:10.34248/bsengineering.1916634.
Vancouver
1.Taner Çarkıt, Şevval Karadeniz. Investigating Energy Efficiency and Analyzing Current Energy Consumption Levels: Creating a Sample Savings Potential and Predicting Future Electricity Consumption. BSJ Eng. Sci. 01 Temmuz 2026;9(4):1592-606. doi:10.34248/bsengineering.1916634