Waste Heat Recovery Based Energy Management of Data Center Microgrid

Increased global digitization has led to the development of data center (DC) infrastructures. The utmost priority of a DC service provider is to offer a consistent and flexible services to its end users. To meet these services, a continuous operation of data center is required and this operation faces three major challenges such as carbon emissions, rising electricity bills and power outages. Data center microgrids are effective choice to enhance sustainability and energy efficiency. However, a large energy consumption in a DC produces a significant amount of heat and instead of wasting this waste heat, it can be further utilized to meet the heating demand in data center microgrids. Therefore, this paper presents a waste heat recovery based energy management of data center microgrid using different metaheuristic approaches. The main aim of this study is to reduce the operational cost of data center microgrid subject to the constraints considering onsite diesel based generators and renewable sources, both heat and electrical energy storage systems. The results elucidate that the LSHADE algorithm obtained an optimized operational cost and outperforms among different algorithms in terms of convergence speed, statistical, and boxplot analysis.