Optimized Design of Diesel Generators Based Chilled Water Cooling System for Intelligent Hospitals and Hotels
Sunil D. Bagade1, Prasad B. Rampure2

1Mr. Sunil D. Bagade*, PHD Research Scholar, VTU, Belgavi, India.
2Dr. Prasad B. Rampure, Principal in KLE College of Engineering and Technology, Chikodi, Karnataka, India.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 24, 2019. | Manuscript published on January 10, 2020. | PP: 1649-1656 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8536019320/2020©BEIESP | DOI: 10.35940/ijitee.C8536.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: For the intelligent applications like Hotels and Hospitals, there is requirement of efficient chilled water system in terms of energy consumption reduction, cost minimization, reduction in Carbon Dioxide (CO2) emissions. As the loads in hotels and applications increases, the performances of water cooling systems becomes the worst that leads to excessive consumption of energy and emission of CO2 , thus it needs the efficient load management strategies as well. In this paper, we first analysed the challenges of energy and CO2 efficiency of water cooling system in the intelligent hospitals and hotels from systematic point of view and then introduced the effective scheduling strategies for both hotel and hospitals. Further, the key focus in this paper is to design water cooling system using the diesel generators by considering the real time applications hospitals and hotels. Since the coolant temperature is having the significant effects on the performance of cooling engine and the CO2 emissions, therefore we introduced the diesel generators with coolant system to investigate such effects. For the cold water supply load management, we designed the Particle Swarm Optimization (PSO) based scheduling strategy at last. This paper exhibits the plan and its simulation results that analysed in terms of ESR (Energy Saving Ratio), CSR (Cost Saving Ratio), and CRR (Carbon dioxide Reduction Ratio) for the Internal Combustion Engine (ICE) capacity on heating and cooling systems. 
Keywords: Energy Consumption, Chilled Water System, Carbon Dioxide, Cooling, Heating, Diesel, Temperature, Radiator.
Scope of the Article: Expert Systems