Next generation cooling products combined with a person-free infrastructure support requiring less land, energy and raw materials make for a smaller physical footprint from day one
DataQube Global developers of an eco-friendly ready edge data centre system, together with Primaria, providers of intelligent and energy efficient cooling technologies, are championing the adoption of alternative data centre cooling refrigerants in response to European regulations to phase out greenhouse gases. Field trials are currently underway to establish the feasibility of replacing legacy HFCs – (fluorinated hydrocarbons) coolants with a next-generation refrigerant that efficiently carries heat and delivers a lower environmental impact.
The two main refrigerants currently used in data centre cooling systems are R134a and especially R410a. Whilst both have an ozone depletion potential (ODP) of zero, their global warming potential (GWP) ratings of 1430 and 2088 respectively are a thousand times higher than carbon dioxide. R-32 on the other hand, because of its efficient heat conveying capabilities which can reduce total energy usage by up to 10% and due to its chemical structure has a GWP rating that is up to 68% lower at just 675.
“The environmental impact of the data centre industry is significant, estimated at between 5-9% of global electricity usage and more than 2% of all CO2 emissions.” Says David Keegan, CEO of DataQube. “In light of COP 26 targets, the industry as a whole need to rethink its overall energy usage if it is to become climate neutral by 2030, and our novel system set to play a major part in green initiatives.”
“For datacentre service providers it’s important that their operations are state of the art when it comes to energy efficiency and GWP (of the refrigerants used) since it impacts both their balance sheet and their sustainability.”Comments Henrik Abrink, Managing Director of Primaria “With the development and implementation of R-32 in the DataQube cooling units we have taken a step further to deliver high added value on both counts in a solution that is already proving to be the most energy efficient edge datacentre system on the market.”
Unlike conventional data centre infrastructure, DataQube, because of its unique person-free layout, reduces power consumption by as much as 56% and CO2 emissions by as much as 56% as the energy transfer is primarily dedicated to powering computers. Exploiting next generation cooling products such as R-32 together with immersive cooling in its core infrastructure offers the potential to reduce these figures further. DataQube’s efficient use of space, combined with optimized IT capacity makes for a smaller physical footprint because less land, raw materials and power are needed from the outset. Moreover, any surplus energy may be reused for district heating, making the system truly sustainable.
DataQube has developed an innovative and scalable edge data centre system that can be deployed internally or externally within a six-month timeframe producing 50% less CO2 emissions for half the cost of a conventional system. DataQube is the perfect infrastructure answer to the growing demand for local edge data centres. www.dataqube.global.
Primaria is a high-tech heating, ventilation and air-conditioning (HVAC) product development and manufacturing company based in the cooling district near Padova in northeast Italy. Over the 25 years of activity the company has built a reputation of fast time to market, innovation, quality and reliability. The company serves multiple vertical markets and customer segments, including Datacenters, Telecom, Manufacturing Industry (food, chemical, pharmaceutical, plastic, mechanical), Commercial and Residential sectors.
Primaria, originally focussed on energy efficient heat recovery, dehumidification and air treatment units, has expanded the product portfolio to include innovative and intelligent products for the IT and high-tech industry like high density door coolers for IT racks, adiabatic air-handling heat exchangers, high efficiency row and cabinet coolers, heat reject and heat recovery units for liquid cooling systems. Many of these systems include machine learning technology which increases product lifetime and reduces opex costs to previously unknown levels. The common denominators for what we do are know-how, speed, energy efficiency and sustainability.