TY - JOUR
T1 - Scheduling Model for a Trigeneration System With Energy Storage Unit
T2 - A Hospital Application
AU - Dogan, Anil
AU - Guven, Denizhan
AU - Kayalica, Mehmet Ozgur
AU - Bayar, Ayse Aylin
N1 - Publisher Copyright:
© 1988-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - Over the last three COVID-19 effective years, it was evident that healthcare has been the most sensitive sector to electricity failures. Therefore, if well developed and implemented, a microgrid system with an integrated energy storage system (ESS) installed in hospitals has great potential to provide an uninterrupted and low-energy cost solution. In this article, we target to show the importance of the installed ESS against the problems that will arise from power outages and energy quality problems in hospitals. Besides, it aims to construct an energy management system (EMS) based on the scheduling model to meet the lowest cost of a system containing solar panels, microturbine, gas boiler, and energy storage units that are repurposed lithium-ion batteries from electric vehicles and thermal storage tank. EMS is a mixed-integer linear program to meet the hospital's electricity, heating, and cooling demands with the lowest cost for every hour. The established scheduling model is run for a hospital in Antioch, Türkiye, with 197 beds, 4 operating rooms, 2 resuscitation units, and 9 intensive care units for every hour based on the data in 2019. With the EMS, approximately 25% savings were achieved compared to the previous energy cost. Furthermore, as the result of the net present value calculation, the payback period of the proposed system is estimated to be approximately seven years.
AB - Over the last three COVID-19 effective years, it was evident that healthcare has been the most sensitive sector to electricity failures. Therefore, if well developed and implemented, a microgrid system with an integrated energy storage system (ESS) installed in hospitals has great potential to provide an uninterrupted and low-energy cost solution. In this article, we target to show the importance of the installed ESS against the problems that will arise from power outages and energy quality problems in hospitals. Besides, it aims to construct an energy management system (EMS) based on the scheduling model to meet the lowest cost of a system containing solar panels, microturbine, gas boiler, and energy storage units that are repurposed lithium-ion batteries from electric vehicles and thermal storage tank. EMS is a mixed-integer linear program to meet the hospital's electricity, heating, and cooling demands with the lowest cost for every hour. The established scheduling model is run for a hospital in Antioch, Türkiye, with 197 beds, 4 operating rooms, 2 resuscitation units, and 9 intensive care units for every hour based on the data in 2019. With the EMS, approximately 25% savings were achieved compared to the previous energy cost. Furthermore, as the result of the net present value calculation, the payback period of the proposed system is estimated to be approximately seven years.
KW - Decision support systems
KW - energy issues in technology management
KW - optimization
KW - renewable energy
KW - scheduling
UR - http://www.scopus.com/inward/record.url?scp=85159791127&partnerID=8YFLogxK
U2 - 10.1109/TEM.2023.3267797
DO - 10.1109/TEM.2023.3267797
M3 - Article
AN - SCOPUS:85159791127
SN - 0018-9391
VL - 71
SP - 6146
EP - 6159
JO - IEEE Transactions on Engineering Management
JF - IEEE Transactions on Engineering Management
ER -