DOAJ Open Access 2023

Sustainable Power Prediction and Demand for Hyperscale Datacenters in India

Ashok Pomnar Anand Singh Rajawat Nisha S. Tatkar Pawan Bhaladhare

Abstrak

Data localization, data explosion, data security, data protection, and data acceleration are important driving forces in India’s datacenter revolution, which has raised a demand for datacenter expansion in the country. In addition, the pandemic has pushed the need for technology adoption, digitization across industries, and migration to cloud-based services across the globe. The launch of 5G services, digital payments, big data analytics, smartphone usage, digital data access, IoT services, and other technologies like AI (artificial intelligence), AR (augmented reality), ML (machine learning), 5G, VR (virtual reality), and Blockchain have been a strong driving force for datacenter investments in India. However, the rapid expansion of these datacenters presents unique challenges, particularly in predicting and managing their power requirements. This abstract focuses on understanding the power prediction and demand aspects specific to hyperscale datacenters in India. The study aims to analyze historical power consumption data from existing hyperscale datacenters in India and develop predictive models to estimate future power requirements. Factors such as server density, workload patterns, cooling systems, and energy-efficient technologies will be considered in the analysis. Datacenter negatively impacts the environment because of the large consumption of power sources and 2% of the global contribution of greenhouse gas emissions. Given the increasing cost of power, datacenter players are naturally encouraged to save energy, as power is a high datacenter operational expenditure cost. Additionally, this research will explore the impact of renewable energy integration, backup power solutions, and demand–response mechanisms to optimize energy usage and reduce reliance on conventional power sources. Many datacenter providers globally have started using power from renewable energy like solar and wind energy through Power Purchase Agreements (PPA) to reduce these carbon footprints and work towards a sustainable environment. In addition, today’s datacenter industry constantly looks for ways to become more energy-efficient through real innovation to reduce its carbon footprint.

Penulis (4)

A

Ashok Pomnar

A

Anand Singh Rajawat

N

Nisha S. Tatkar

P

Pawan Bhaladhare

Format Sitasi

Pomnar, A., Rajawat, A.S., Tatkar, N.S., Bhaladhare, P. (2023). Sustainable Power Prediction and Demand for Hyperscale Datacenters in India. https://doi.org/10.3390/engproc2023059124

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3390/engproc2023059124
Akses
Open Access ✓