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Green Computing: Eco-Friendly Tech Practices for the Future

MISSION+
7 min readMay 21, 2025

The intersection of technology and sustainability represents one of the most critical challenges and opportunities facing organisations today. From the electricity consumption of our home desktop to the greenhouse gas emissions of massive data centers, each line of code has the potential to affect the environment. This is where green computing comes in to combat climate change as we approach an increasingly digital future.

What is Green Computing?

Green computing, also known as green IT, refers to the environmentally friendly design, manufacture, usage, and disposal of computers and related systems. Practitioners aim to reduce energy consumption, minimise electronic waste, and encourage using renewable resources throughout the technology lifecycle.

From something as simple as powering off your computer when not in use to corporate-level steps like investing in nuclear energy for data centers, every conscious step towards reducing software’s carbon footprint is part of green IT.

History and Background

Green computing first came to prominence in 1992 when the U.S. Environmental Protection Agency (EPA) launched the Energy Star label. The idea behind this development was to identify energy-efficient consumer electronics.

As a result, tech companies have been expected to look beyond high performance and consider sustainability when developing computers and other devices. For example, Intel scrapped development work on two Pentium 5 chips in 2004 due to their high energy consumption. The company instead shifted its focus to energy-efficient chip architectures, ushering in the era of multi-core processors.

Similarly, 26 tech CEOs came together to found the European Green Digital Coalition (EGDC) in 2021. With 82 active companies across Europe, the group invests in green digital solutions and develops methods for measuring the environmental impact of green computing.

The Green Computing Revolution in 2025

Green computing is rapidly evolving from a nice-to-have initiative to an essential component of corporate decarbonisation strategy. As we move through 2025, several key developments are shaping the landscape:

  • Integrated Decarbonization: Green and sustainable computing has become integral to achieving national and organisational climate objectives, with enterprises incorporating energy-efficient equipment as part of broader commitments.
  • Real-World Implementation: Major companies are leading by example — Google aims to reduce 50% of its Scope 1, 2, and 3 emissions by 2030 and powers some offices and data centres with carbon-free energy, while Unilever has committed $150 million to decarbonise its manufacturing through more efficient equipment.
  • Data Center Transformation: Green data centres with lower electricity consumption and edge computing models are becoming increasingly prevalent as organisations prioritise environmental impact alongside performance.

The FinOps-Sustainability Connection

Financial operations in the cloud (FinOps) and sustainability efforts share fundamental goals that create natural synergies:

Shared Focus on Waste Reduction:

Practical Integration Strategies:

  • Optimise workload management and properly size instances to reduce costs and carbon footprint.
  • Track idle resources that consume energy without providing value.
  • Collaborate with sustainability teams to monitor cloud carbon emissions alongside financial metrics.

Balancing Cost and Environmental Goals:

  • Consider implementing GreenOps, which applies FinOps principles to meet environmental, social, and governance (ESG) goals.
  • Recognise that the cheapest solution isn’t always the greenest. Choosing a region powered by renewable energy may cost more, but it could significantly reduce emissions.

Benefits of Green Software

Adopting green computing practices offers numerous advantages for corporations:

  • Environmental Impact: Lower energy consumption and reduced e-waste contribute to a smaller carbon footprint by decreasing greenhouse gas emissions.
  • Cost Savings: Sustainable computing reduces electricity bills and operational costs. Research suggests efficient code can cut energy bills by 17–90%.
  • Regulatory Compliance: Aligning with environmental regulations can prevent legal issues and penalties. As Environmental, Social, and Governance (ESG) regulations become more stringent, organisations are pressured to implement and prove sustainable tech practices.
  • Enhanced Brand Image: Demonstrating a commitment to sustainability improves public perception and customer loyalty.

Challenges to Green IT

Several obstacles hinder the widespread adoption of green computing, including:

  • Lack of Awareness: Many users and organisations remain unaware of the environmental impact of their tech usage and the steps they can take to mitigate it. The market still emphasises speed and performance over sustainable practices.
  • High Initial Costs: Energy-efficient technology requires significant up-front capital investment, which can deter cash-strapped organisations from prioritising it.
  • Rapid Technological Advancements: The fast pace of tech development can make keeping up with sustainable practices challenging. For instance, each new iteration of a large language model (LLM) like ChatGPT will require developers to ensure compliance with eco-friendly standards.
  • Different User Types and Needs: Creating a standard, one-size-fits-all green computing framework is challenging when user profiles and needs vary significantly across the IT industry. A software developer’s power consumption differs vastly from that of a data center, so the same energy efficiency audit can’t be applied to both.

Green Computing in Daily Life

Green computing doesn’t have to be a daunting task. The first step is to become more conscious of the environmental impact of tech and intentionally reduce it. Regardless of your IT user profile, here are seven things you can do to go green:

  1. Unplug Your Devices
    Turn off devices when not in use and unplug chargers to prevent phantom energy draw. This basic habit can lead to meaningful energy savings over time.
  2. Schedule Computing Tasks
    If you’re working on tasks that require heavy computing, schedule them smartly. For instance, you can execute them during the day instead of letting your computer run overnight. Similarly, if there’s a window where renewable energy availability is at its highest for you, use that period to complete your tasks. This helps reduce the strain on the grid and lowers carbon emissions.
  3. Cache Your Data
    Caching frequently accessed data locally reduces repeated requests to remote servers. This practice speeds up performance and cuts down on energy-intensive file transfers.
  4. Use Encryption Wisely
    While encryption is critical for data security, it’s also computationally intensive. Encrypting everything indiscriminately, especially on low-priority or non-sensitive data, leads to unnecessary energy use. Apply security where needed, but be mindful of when and how it’s implemented.
  5. Optimise AI Workloads
    If you work with AI models, you will understand the massive energy they consume during training and inference. You can lower that power consumption by optimising these models through practices like pruning (removing unnecessary weights) and quantisation (reducing the model size without a considerable performance drop). Running models on the edge also helps reduce cloud-based processing and the energy costs of data transmission.
  6. Extend Device Lifespan
    Repair and maintain devices rather than replacing them at the first sign of trouble. Keeping electronics in use longer reduces electronic waste and the demand for new manufacturing.
  7. Establish E-waste Protocols
    Create procedures for recycling old computers and electronic equipment through certified recyclers. This practice is crucial for limiting environmental contamination safely and responsibly.

Advanced Strategies for Long-Term Impact

Beyond daily practices, here are four advanced strategies on an organisational level that can deepen our commitment to sustainable computing:

1. Data Center Optimisation:

  • Implement advanced cooling technologies
  • Optimise server utilisation through virtualisation
  • Adopt energy-efficient data center designs with free cooling and hot/cold aisle containment

2. Green Software Development:

  • Design applications with energy efficiency as a priority
  • Optimise code for minimal resource consumption
  • Use efficient data structures and algorithms to reduce processing requirements

3. Life Cycle Assessment:

  • Conduct comprehensive evaluations of IT equipment from manufacturing to disposal
  • Identify environmental impact hotspots and areas for improvement

4. Sustainable Procurement:

  • Integrate environmental criteria into IT purchasing decisions
  • Prioritise vendors with strong sustainability credentials and certifications like EPEAT and TCO

Final Thoughts

As we move deeper into a digital-first future, the challenge is clear: make innovation sustainable. From eliminating unnecessary energy consumption to writing more efficient code, there are several intentional steps we can take towards eco-friendly technology. While systemic change will require commitment from organisations and policymakers, we can start contributing today through individual awareness and action.

Who is Kenneth?

Kenneth is a visionary technology leader and innovator at MISSION+. With over 15 years of experience in digital transformation, AI, and cloud technologies, Kenneth has scaled businesses globally, from startups to Fortune 500 companies, solving complex challenges with impactful FinTech, RegTech, and enterprise innovation strategies. Feel free to reach out to Kenneth at hello@mission.plus to discuss your digital transformation goals.

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MISSION+
MISSION+

Written by MISSION+

Bringing together specialist tech leaders to co-build transformative products, blending deep expertise, simplicity, and passion to drive businesses forward.

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