Green Energy Supply by Huawei

Rewiring Telecom Networks for Resilience, Efficiency, and Lower Emissions 

Telecom networks are expanding rapidly to meet rising demand for connectivity, but powering them sustainably remains a major challenge—especially in markets where grid infrastructure is weak or unreliable. 

This month’s Member Spotlight highlights Huawei’s Green Energy Supply solution, which combines renewable generation, storage, and intelligent management to support lower-carbon, more resilient telecom networks. 

The Challenge: Power Constraints Are Limiting Sustainable Network Growth 

In many regions, telecommunications networks still rely heavily on carbon-intensive and unstable energy systems. In parts of Africa and other power-constrained environments, unreliable grid infrastructure has led operators to depend extensively on diesel generators to maintain service continuity. 

This dependence creates several pressures at once: 

• High operating costs, driven by continued diesel reliance  

• Increased emissions, linked to carbon-intensive backup power  

• Weaker network reliability, directly affecting the quality and availability of digital services  

In this context, the energy backbone of telecom networks is no longer a secondary technical issue. It has become a strategic factor in both sustainability performance and network resilience. 

Addressing this challenge requires more than incremental efficiency improvements. It calls for a more integrated approach to how energy is generated, managed, and consumed across telecom infrastructure. 

The Solution: An Integrated Model for Intelligent, Lower-Carbon Network Energy 

Huawei’s Green Energy Supply solution introduces a fully integrated approach to telecom energy transformation. Rather than treating energy supply as a fixed input, it combines solar photovoltaic generation, energy storage, and AI-driven optimisation into a coordinated system. 

At the site level, intelligent scheduling algorithms dynamically balance generation, storage, and consumption based on local conditions and network demand. This allows operators to reduce reliance on diesel and unstable grid supply while maintaining operational continuity. 

A key strength of the solution lies in its scalability. It is designed not only for new deployments, but also for retrofitting existing infrastructure—allowing operators to shift toward a lower-carbon energy mix without requiring full system replacement. This makes the model particularly relevant in markets where network growth must be achieved under tight cost, infrastructure, and energy constraints. 

The Impact: Quantified Gains in Cost, Emissions, and Network Performance 

The deployment of Green Energy Supply demonstrates impact at three levels: overall clean energy generation, site-level fuel displacement, and operational performance. 

• At portfolio level, the solution has been deployed across more than 6,500 telecom sites, which together generate approximately 12 million kWh of clean electricity annually. Across the network, this has contributed to an estimated 5% reduction in carbon emissions and a 20–30% reduction in lifecycle energy costs. 

• At country level, the Ethiopia deployment provides a particularly strong illustration of the model’s value. Across 1,440 sites, diesel consumption has been reduced by 75%, significantly lowering fuel dependency in a power-constrained operating environment. 

• At operational level, the gains extend beyond energy and emissions. Network uptime has improved from 80% to 99%, strengthening service continuity where power disruptions are frequent. In practical terms, this has also enabled up to a 50% increase in traffic capacity, showing that sustainability and performance can be advanced simultaneously. 

Taken together, these outcomes demonstrate that lower-carbon telecom infrastructure can also be more efficient, more reliable, and more commercially resilient. 

Why It Matters: A Scalable Pathway for More Resilient Digital Infrastructure 

The significance of this case extends beyond emissions reduction alone. By stabilising energy supply at the site level, the solution helps strengthen the resilience of critical digital infrastructure in regions where power instability remains a persistent constraint. That translates directly into more reliable connectivity for communities, businesses, and public services. 

At a broader level, the case illustrates how telecom networks can evolve from energy-intensive assets into more efficient and adaptive infrastructure systems. By integrating renewable energy with intelligent management, operators can begin to decouple network growth from proportional increases in fuel consumption, operating costs, and emissions. 

More broadly, it reinforces a core GeSI principle: the expansion of connectivity does not need to come at the expense of environmental performance. When digital infrastructure and energy systems are redesigned together, it becomes possible to scale access, resilience, and efficiency in parallel.