A Case Analysis on Energy Savings and Efficiency Improvement of a Chiller Plant in a Luxury Hotel Building

Anandh N., Kumar P.

Abstract


Energy is an efficient source in the present world and it is very significant. Huge building systems such as luxury hotels, commercial complex, malls and educational institutes require chiller plants for air-conditioning purpose in their premises. In this paper, a case analysis on energy savings and efficiency improvement of a chiller plant is done for a luxury hotel building located at Chennai, Tamil Nadu, India. The building consists of carrier make 2 Nos. 633 kW/180 TR and 1 No. 1185 kW/337 TR water cooled chillers. The chiller plant system at the site consumes up to 43% of the facility’s annual energy cost. To increase the energy savings and efficiency of existing system and to achieve a lower number on the Specific Power Consumption (SPC), the existing chiller plant is retrofitted with 1 No. 879 kW/250 TR Premium efficiency chiller and an energy analysis is done by simulating the proposed chiller using Chiller Plant Automation (CPA) software and by understanding the energy usage of the chiller as per the site operating load and weather conditions. With the change in chiller, the system efficiency of the hotel increased by 40% and the energy consumption reduced to 38%.


Keywords


Air-conditioning system; Chiller plant system; Energy efficiency; Efficiency improvement; Energy saving; Specific power consumption

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References


Behl M., Nghiem T.X., and Mangharam R., 2012. Green scheduling for energy-efficient operation of multiple chiller plants. In IEEE 33rd Real-Time Systems Symposium, San Juan, Puerto Rico, USA, 4-7 December.

Dissasekera M., 2010. Electricity saving and cost reducing through chiller system optimization. In Fifth International Conference on Information and Automation for Sustainability, Colombo, Sri Lanka, 17-19 December.

Yan J., Yu Z., and Zhou X., 2014. Study on operation energy efficiency model of chiller based on SVR. In The 26th Chinese Control and Decision Conference, Changsha, China, 31 May - 2 June.

Zhang D., Luh P.B., Fan J., and Gupta S., 2018. Chiller plant operation optimization with minimum up/down time constraints. IEEE Robotics and Automation Letters 3(1): 9-15.

Romero M., Hari K.A., Cordero I., Min J., and Rojas-Solorzano L., 2016. Viability of energy efficiency measures in resort buildings — Case study: Mazatlan, Mexico. In 4th IET Clean Energy and Technology Conference, Kuala Lumpur, Malaysia, 14-15 November.

Xiaoming Z., Aoki H., Sato A. and Abd Majid M.A., 2017. An empirical study on performance optimization at district cooling plant of Universiti Teknologi PETRONAS. In Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kuala Lumpur, Malaysia, 12-15 December.

Lee K., Chu Y., Chen C., Tsai C., and Lou S., 2019. Case analysis on energy saving improvement of commercial air conditioning systems. In IEEE Eurasia Conference on IOT, Communication and Engineering, Yunlin, Taiwan, 3-6 October.

Zhang D., Mittal K., Wilson J., Luh P.B., Fan J., and Gupta S., 2019. Efficiency and reliability joint optimization of chiller plants based on a hybrid model. IEEE Robotics and Automation Letters 4(4): 3224-3231.

Torzhkov A., Sharma P., Li C., Toso R., and Chakraborty A., 2010. Chiller plant optimization - an integrated optimization approach for chiller sequencing and control. In 49th IEEE Conference on Decision and Control, Atlanta, USA, 15-17 December.

Zhang D., Luh P.B., Fan J., and Gupta S., 2018. Chiller plant operation optimization: Energy-efficient primary-only and primary–secondary systems. IEEE Transactions on Automation Science and Engineering 15(1): 341-355.

Chang Y-C., 2006. An outstanding method for saving energy-optimal chiller operation. IEEE Transactions on Energy Conversion 21(2): 527-532.

D. C.S. and S. Abimannan. 2011. Energy efficient free cooling system for data centers. In IEEE Third International Conference on Cloud Computing Technology and Science, Athens, Greece, 29 November-1 December.

Zhang Y., Li R., Wang F., Li A., Huang D., and Chen G., 2017. Rule-based optimal control for the cooling water subsystem of chiller plants. In 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, 29 October-1 November.

Chen S., Liu X., and Fu H., 2018. Design of energy-saving optimized remote control system of chiller based on improved particle swarm optimization. In 5th IEEE International Conference on Cloud Computing and Intelligence Systems, Nanjing, China, 23-25 November.

Xiaoming Z., 2016. A case study of electric chiller performance bottleneck diagnosis by root cause analysis. In 1st International Conference on Information Technology, Information Systems and Electrical Engineering, Yogyakarta, Indonesia, 23-24 August.

Kaya A., Moss W.H., and Sommer A.C., 1983. Application of optimization methods to save energy in plant chillers. In American Control Conference. San Francsico, USA, 22-24 June.

Radeerom M. and K. Tharathanmathikorn. 2015. Intelligent system-based supervision for energy management of water chiller plant. In 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Hua Hin, Thailand, 24-27 June.

Beghi A., Bertinato M., Cecchinato L., and Rampazzo M., 2009. A multi-phase genetic algorithm for the efficient management of multi-chiller systems. In 7th Asian Control Conference, Hong Kong, China, 27-29 August.