This study identifies and analyzes the Critical Success Factors (CSFs) that affect the effective adoption of green energy in data centers, addressing both technical and organizational challenges. . h and the semantics of 100% renewable energy operations have spurred leading technology firms to consider the time and location of their energy consumption and generation. By 2030, Microsoft and Google intend to consume no more electricity than the instantaneous same-grid renewable power that they. . As the use of artificial intelligence (AI), cloud computing and other digital services expand, so too does the environmental footprint of the infrastructure powering them. The data centers that power these tools require significant amounts of electricity and water, and local governments. . Neither the United States Government nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors or their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or any third party's use. . The rapid growth of Gen-AI is causing rising power demands on existing data centers and the need to build new ones. MCSC researchers are exploring these data centers' ecological impact. In leading the MCSC's work on Data & Computing, Noman Bashir has been exploring effective decarbonization. . Sustainability is now essential in business, driving efforts to cut carbon footprints. Traditional data centers heavily consume energy, increasing carbon emissions. Through a systematic literature review and expert validation, eleven key CSFs were identified. .