
In today’s operational climate reducing a data center’s environmental impact is essential; Fox Architects-designed Green Data Centers also reduce critical energy, operation and maintenance costs.
Beyond a building’s configuration and appearance, quantifiable results prove Fox Architects’ designs positively affect profitability. A recent Green Data Center design provided a 33 % reduction in energy consumption compared with conventionally designed data centers.
On another project, the Fox Architects plan provided a reduction of 75% in the quantity of piping necessary to connect the data center’s cooling systems.
The design of most data centers rarely can offer employees access to daylight while achieving the required critical structural protection.
Fox Architects uses proven building materials to focus natural daylight into the building’s core. This reduces power consumption, while maintaining the structural integrity necessary to withstand F-3 level tornado wind stresses. By harnessing natural daylight, the environments improve employee efficiency/ productivity, reduce human error and create a more beneficial work environment.
Align your organization’s reputation with your message. Your green building’s design presents an outward, tangible extension of your organization’s brand. By choosing a green approach to the design of your data center you will communicate your strong commitment to;
Despite the complexities and unique challenges of Green Data Center design, Fox Architects has earned a proven track record of delivering promised project results on time and on schedule.
To explore the possibilities of designing a Green Data Center, contact Fox Architects.
“The Data Center is an integral part of our business, both in delivering high quality products for the farm and for improving the customer experience. Every day Monsanto scientists analyze terabytes of data collected from laboratories, field trials, and breeding stations around the world. This requires considerable speed and technology to quickly and accurately process such massive amounts of data into manageable, digestible information that we can use to make important business decisions like which drought-tolerant gene will be advanced to the next phase of the product pipeline”