Energy saving estimation model (ESEM) use normal distribution (Gaussian) probability theory to predict potential savings for previously determined system improvements. Those improvements are low/high cost investments based on data gathered during one year monitoring of typical hypermarket facility HVAC system. The consumption of electrical energy and natural gas has been monitored and system segments with largest amount of energy consumption have been marked. Gathered data pointed out to fan units as the biggest energy consumers and suggested that system energy-saving improvement must be focused on fans energy consumption control. This paper deals with ESEM inputs and outputs in order to provide correct financial estimation of specific investment.
Keywords:
Hypermarket energy consumption / HVAC optimization / Estimation model / Cost-effectiveness / Gaussian
TY - JOUR
AU - Zlatanović, Ivan
AU - Gligorević, Kosta
AU - Ivanović, Sanjin
AU - Rudonja, Nedžad
PY - 2011
UR - http://aspace.agrif.bg.ac.rs/handle/123456789/2706
AB - Energy saving estimation model (ESEM) use normal distribution (Gaussian) probability theory to predict potential savings for previously determined system improvements. Those improvements are low/high cost investments based on data gathered during one year monitoring of typical hypermarket facility HVAC system. The consumption of electrical energy and natural gas has been monitored and system segments with largest amount of energy consumption have been marked. Gathered data pointed out to fan units as the biggest energy consumers and suggested that system energy-saving improvement must be focused on fans energy consumption control. This paper deals with ESEM inputs and outputs in order to provide correct financial estimation of specific investment.
PB - Elsevier Science Sa, Lausanne
T2 - Energy and Buildings
T1 - Energy-saving estimation model for hypermarket HVAC systems applications
EP - 3359
IS - 12
SP - 3353
VL - 43
DO - 10.1016/j.enbuild.2011.08.035
ER -
@article{
author = "Zlatanović, Ivan and Gligorević, Kosta and Ivanović, Sanjin and Rudonja, Nedžad",
year = "2011",
abstract = "Energy saving estimation model (ESEM) use normal distribution (Gaussian) probability theory to predict potential savings for previously determined system improvements. Those improvements are low/high cost investments based on data gathered during one year monitoring of typical hypermarket facility HVAC system. The consumption of electrical energy and natural gas has been monitored and system segments with largest amount of energy consumption have been marked. Gathered data pointed out to fan units as the biggest energy consumers and suggested that system energy-saving improvement must be focused on fans energy consumption control. This paper deals with ESEM inputs and outputs in order to provide correct financial estimation of specific investment.",
publisher = "Elsevier Science Sa, Lausanne",
journal = "Energy and Buildings",
title = "Energy-saving estimation model for hypermarket HVAC systems applications",
pages = "3359-3353",
number = "12",
volume = "43",
doi = "10.1016/j.enbuild.2011.08.035"
}
Zlatanović, I., Gligorević, K., Ivanović, S.,& Rudonja, N.. (2011). Energy-saving estimation model for hypermarket HVAC systems applications. in Energy and Buildings
Elsevier Science Sa, Lausanne., 43(12), 3353-3359.
https://doi.org/10.1016/j.enbuild.2011.08.035
Zlatanović I, Gligorević K, Ivanović S, Rudonja N. Energy-saving estimation model for hypermarket HVAC systems applications. in Energy and Buildings. 2011;43(12):3353-3359.
doi:10.1016/j.enbuild.2011.08.035 .
Zlatanović, Ivan, Gligorević, Kosta, Ivanović, Sanjin, Rudonja, Nedžad, "Energy-saving estimation model for hypermarket HVAC systems applications" in Energy and Buildings, 43, no. 12 (2011):3353-3359,
https://doi.org/10.1016/j.enbuild.2011.08.035 . .
