Thermal Energy Storage Optimization in Shopping Center Buildings

Authors

  • Totok R. Biyanto Department of Engineering Physics, FTI, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111
  • Akhmad F. Alhikami Department of Engineering Physics, FTI, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111
  • Gunawan Nugroho Department of Engineering Physics, FTI, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111
  • Ridho Hantoro Department of Engineering Physics, FTI, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 60111
  • Ridho Bayuaji Department of Civil Engineering, FTSP, Institut Teknologi Sepuluh Nopember, Kampus ITS Manyar, Surabaya 60118
  • Hudiyo Firmanto Department of Mechanical Engineering, FT, Universitas Surabaya, Jl. Raya Kalirungkut, Tenggilis, Surabaya 60293
  • Joko Waluyo Department of Mechanical Engineering, FT, Universitas Gajah Mada, Bulaksumur Yogyakarta 55281,
  • Agus Imam Sonhaji Badan Perencanaan Pembangunan Kota Surabaya,Jalan Pacar No. 8, Surabaya 60272,

DOI:

https://doi.org/10.5614/j.eng.technol.sci.2015.47.5.7

Abstract

In this research, cooling system optimization using thermal energy storage (TES) in shopping center buildings was investigated. Cooling systems in commercial buildings account for up to 50% of their total energy consumption. This incurs high electricity costs related to the tariffs determined by the Indonesian government with the price during peak hours up to twice higher than during off-peak hours. Considering the problem, shifting the use of electrical load away from peak hours is desirable. This may be achieved by using a cooling system with TES. In a TES system, a chiller produces cold water to provide the required cooling load and saves it to a storage tank. Heat loss in the storage tank has to be considered because greater heat loss requires additional chiller capacity and investment costs. Optimization of the cooling system was done by minimizing the combination of chiller capacity, cooling load and heat loss using simplex linear programming. The results showed that up to 20% electricity cost savings can be achieved for a standalone shopping center building.

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Published

2015-10-30

How to Cite

Biyanto, T. R., Alhikami, A. F., Nugroho, G., Hantoro, R., Bayuaji, R., Firmanto, H., Waluyo, J., & Sonhaji, A. I. (2015). Thermal Energy Storage Optimization in Shopping Center Buildings. Journal of Engineering and Technological Sciences, 47(5), 549-567. https://doi.org/10.5614/j.eng.technol.sci.2015.47.5.7

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