The trend toward server-side computing and the exploding popularity of Internet services due to the increasing of demand for networking, storage and computation has created a world-wild energetic problem and a significant carbon footprint. These environmental concerns prompt to several green energy initiative aiming either to increase data center efficiency and/or to the use of green energy supply. In this regard, As part of the ANR DATAZERO project, many researchers are working to define main concepts of an autonomous green data center only powered by renewable energies. Thus, the present paper proposes a mixed integer linear program to optimize the commitment of a hybrid energy system composed of wind turbines, solar panels, batteries and hydrogen storage systems. The approach is used to supply a data center demand and takes the weather forecasts into account at the time of optimization. Different time window resolution are applied in order to verify the best time window for decision making.
Nowadays, data-center are available in a lot of cities in different countries around the world. Their continuous growth in size and complexity due to the increasing demand for storage, networking and computation has become a world wide energetic problem. Taking into account their huge consumption of electricity and the amount of carbon emission in the air, researchers work on making data-centers as green as possible using renewable energy sources. On the other hand, electrical cars, more and more common as they have the potential to provide a high autonomy and to reduce significantly the emmissions that contribute to climate change. These green cars have however an inconvenient which is the availability of hydrogen station to fill their tank. Thus, this paper presents first a sizing of a hybrid system to power a data-center of 500 kW composed of photovoltaic panels, winding turbines, batteries and fuel cells. Consequently, this paper presents an option for this hydrogen storage to become easily a secure hydrogen station to supply fuel cell cars. Our contribution consists then in finding the accurate sizing (wind turbines, solar panels as primary sources, hydrogen as a long term storage and batteries as a back up) for both data centers and fuel cell vehicles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.