Volume 10, Issue 4 (2026)
Manage Strat Health Syst 2026, 10(4): 276-291 |
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Ethics code: IR.BMSU.BAQ.REC.1402.040
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Najafi M, Amiri-Ara M, Shokri N, Ghanizadeh G, Raei M, Hosseini Shokoh S M. Analyzing the Trend of Energy Carriers Consumption in a Super-Specialized Hospital and Presenting Necessary Strategies for Optimal Consumption. Manage Strat Health Syst 2026; 10 (4) :276-291
URL: http://mshsj.ssu.ac.ir/article-1-892-en.html
URL: http://mshsj.ssu.ac.ir/article-1-892-en.html
Mohammad-Javad Najafi1 
, Mohammad Amiri-Ara2 , Naeim Shokri3 , Ghader Ghanizadeh4 , Mehdi Raei5 , Sayyed Morteza Hosseini Shokoh *6
, Mohammad Amiri-Ara2 , Naeim Shokri3 , Ghader Ghanizadeh4 , Mehdi Raei5 , Sayyed Morteza Hosseini Shokoh *6
1- MSc in Healthcare Services Management, Student Research Committee, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
2- Associate Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Assistant Professor, Department of Health Economics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
4- Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Professor, Department of Environmental Health, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
5- Associate Professor, Artificial Intelligence in Health Research Center, Biomedical Technology Research Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran & Associate Professor, Department of Epidemiology and Biostatistics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
6- Associate Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Associate Professor, Department of Health Economics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran ,hosainysh.morteza@gmail.com
2- Associate Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Assistant Professor, Department of Health Economics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
4- Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Professor, Department of Environmental Health, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
5- Associate Professor, Artificial Intelligence in Health Research Center, Biomedical Technology Research Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran & Associate Professor, Department of Epidemiology and Biostatistics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
6- Associate Professor, Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran & Associate Professor, Department of Health Economics, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran ,
Abstract: (78 Views)
Background: Neglecting the optimal consumption of energy carriers not only increases hospital costs but also leads to the waste of energy resources. This study was conducted to investigate the consumption trends of energy carriers in a super-specialized hospital and to provide optimization strategies.
Methods: This mixed-methods (quantitative-qualitative) study was conducted in three phases. In the first phase, time-series data of water, gas, and electricity consumption over a ten-year period (2011–2021) were collected from the studied hospital. In the second phase, the relationship between hospital performance indicators and energy carriers consumption was examined using the SARIMAX regression model. In the third phase, strategies for improving energy efficiency were identified through a review of previous studies and a survey of experts.
Results: The ten-year average consumption of water, electricity, and gas per active bed was 33.76 ± 1.63 cubic meters, 1919.66 ± 243.39 kilowatts, and 341.46 ± 38.96 cubic meters, respectively. Indicators such as occupied bed days, bed turnover interval, and average length of stay had a significant impact on water consumption. Electricity consumption was significantly influenced by the number of surgeries, and gas consumption was significantly influenced by the number of surgeries and intensive care unit patients. Water consumption was significantly higher in autumn, electricity in summer, and gas in winter compared to other seasons. Thirty-three optimization strategies were categorized into five general areas, including modification of electrical systems, cooling and heating systems, water resource management, optimization of the building structure, and energy policy-making.
Conclusion: The consumption of energy carriers in this hospital was primarily subject to seasonal variations. Optimizing the building structure in terms of thermal insulation and formulating effective energy policies can significantly prevent energy waste.
Methods: This mixed-methods (quantitative-qualitative) study was conducted in three phases. In the first phase, time-series data of water, gas, and electricity consumption over a ten-year period (2011–2021) were collected from the studied hospital. In the second phase, the relationship between hospital performance indicators and energy carriers consumption was examined using the SARIMAX regression model. In the third phase, strategies for improving energy efficiency were identified through a review of previous studies and a survey of experts.
Results: The ten-year average consumption of water, electricity, and gas per active bed was 33.76 ± 1.63 cubic meters, 1919.66 ± 243.39 kilowatts, and 341.46 ± 38.96 cubic meters, respectively. Indicators such as occupied bed days, bed turnover interval, and average length of stay had a significant impact on water consumption. Electricity consumption was significantly influenced by the number of surgeries, and gas consumption was significantly influenced by the number of surgeries and intensive care unit patients. Water consumption was significantly higher in autumn, electricity in summer, and gas in winter compared to other seasons. Thirty-three optimization strategies were categorized into five general areas, including modification of electrical systems, cooling and heating systems, water resource management, optimization of the building structure, and energy policy-making.
Conclusion: The consumption of energy carriers in this hospital was primarily subject to seasonal variations. Optimizing the building structure in terms of thermal insulation and formulating effective energy policies can significantly prevent energy waste.
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