Using Life Cycle Assessment to Uncover Carbon Costs

LCA can significantly weaken your carbon claims. Biochar projects are often framed around a simple idea: carbon is stored, therefore carbon is removed. But carbon removal is defined by net impact, not intention. Life Cycle Assessment forces a project to account for everything from feedstock logistics to energy inputs and auxiliary systems. And when you look at the full system, the picture can change. 📌 Transport distance matters. Biomass is bulky, and long logistics chains increase fuel use and associated emissions. A project that looks strong at the reactor level can weaken at the geography level. 📌 Energy design matters even more. Pyrolysis requires heat, and drying often consumes substantial energy. If fossil sources support these steps, net removals shrink. Internal energy recovery can improve the balance — but only if properly integrated. 📌 Startup fuel is rarely highlighted. After shutdowns, reactors require reheating. If this relies on fossil inputs and occurs frequently, cumulative emissions are not negligible. 📌 Moisture content shapes everything. High-moisture feedstock increases drying demand, which directly affects both cost and lifecycle emissions. 📌 Compliance systems and auxiliary equipment also contribute. Individually small, collectively relevant. An LCA does not focus on the reactor alone. It actually measures the whole system. In carbon removal infrastructure, system design determines whether the climate story holds under scrutiny. And keep in mind that investors increasingly look at that layer! What do you think is the LCA variable most biochar projects underestimate?

🌿 Can AI Be More Sustainable? Google's TPU Study Says Yes! 🌿 As AI continues to revolutionize industries, one critical question looms large:-What is the environmental cost of AI compute? 📚 A new study by Google researchers presents the first comprehensive life-cycle assessment (LCA) of AI accelerators. It examines the 'cradle-to-grave emissions' of Tensor Processing Units (TPUs) and quantifies greenhouse gas (GHG) emissions across raw material extraction, manufacturing, energy consumption, and retirement. 🔹 Key Findings:- ✅ AI hardware’s 'Compute Carbon Intensity (CCI)' has improved 3x from TPU v4i to TPU v6e, reducing emissions per computation unit. ✅ Operational emissions dominate total lifecycle emissions (~70-90%), highlighting the importance of clean energy adoption in AI data centers. ✅ Manufacturing emissions are now quantifiable, with TPU production accounting for a significant share of AI’s environmental footprint. ✅ Software optimizations amplify hardware gains, further reducing emissions for AI workloads. Why does this matter? 🌍 With AI models growing exponentially in size, understanding and optimizing their carbon footprint is crucial for sustainable AI adoption. This research provides a standardized metric (CCI) that can guide future AI hardware and software innovations. 📢 Call to Action:- ➡️ Should AI vendors disclose carbon metrics for model training and inference? ➡️ How can enterprises prioritize sustainable AI adoption? ➡️ What policy measures should support greener AI computing? 📖 Read the paper - https://lnkd.in/gjuQXPdp Let’s discuss in the comments! 👇 #AI #Sustainability #CarbonFootprint #GoogleCloud #AIAccelerators #MachineLearning #GreenTech

Using Life Cycle Assessment (LCA) to Evaluate Dairy Diet Efficiency Achieving precision in dairy nutrition requires accurately predicting the metabolizable methionine (Met) and lysine (Lys) available to each cow. Reliable measurement techniques are essential to assess nitrogen and amino acid utilization effectively. Understanding the rumen protection rate and intestinal availability of rumen-protected amino acids (RP-AAs) helps determine the primary amino acids available to the animal. When diets are formulated with the right RP-Met and RP-Lys, in line with the latest nutritional insights, nitrogen efficiency improves, and animal performance increases. Life Cycle Assessment (LCA) is a valuable tool for measuring the environmental impact of different feeding strategies. A recent study compared a control diet without RP-AAs to two diets incorporating RP-Met and RP-Lys. The control and one of the test diets contained soybean meal, while the other did not. Both experimental diets had lower crude protein levels but still met the animals’ metabolizable protein (MP) requirements. The LCA showed over 7% improved nitrogen efficiency, a more than 10% reduction in nitrous oxide emissions, and over 10% lower CO₂-equivalent emissions per kilogram of dry matter compared to the control. Importantly, these benefits were achieved without increasing feed costs. Balancing for individual amino acids rather than relying on excess crude protein presents a significant opportunity to enhance dairy herd profitability. With rising feed costs, formulating lower-protein diets while meeting amino acid requirements can improve MP utilization, cow productivity, and overall health. At the same time, it reduces nitrogen excretion and the environmental footprint of dairy production. Are you ready for the future? #SustainableDairy #AminoAcidBalancing #FeedEfficiency

🌍 Excited to share our new research published in Environmental Science & Technology (ES&T), a journal with an impact factor of 10.9. Our paper introduces Parakeet, an AI solution that combines large language models with semantic matching to automatically recommend emission factors for life cycle assessments - a critical but time-consuming step in carbon footprint calculations. 📊 Organizations often struggle with inconsistent manual mapping processes that can take weeks of expert time and lack clear documentation for audits. Our algorithm achieves 87% accuracy in fully automated matching and 93% accuracy with human review, while providing transparent, verifiable justifications for its recommendations. 🤖 This development significantly accelerates carbon accounting, especially for complex Scope 3 emissions calculations across supply chains. By streamlining this process, we're enabling organizations of all sizes to more efficiently measure and manage their environmental impact as they work toward net-zero emissions targets. This research represents a major step forward in scaling up carbon footprint assessments across industries. 👥 Work with my wonderful colleagues at Amazon: Fahimeh Ebrahimi, Ph.D. Nina Domingo Gargeya Vunnava Abu-Zaher F. Somasundari Ramalingam Shikha Gupta Anran Wang Harsh Gupta Domenic Belcastro Kellen Axten Jeremie Hakian Jared Kramer Aravind Srinivasan and Qingshi Tu, PhD 📄 Link to paper (open access for a limited time, requires sign in): https://lnkd.in/g4fYzdFb 📄 Open link to previous version of paper: https://lnkd.in/dUtva7Nh #amazonscience #sustainability #carbonfootprint #ai

The results of a life cycle assessment study conducted by the Industrial Sustainability Lab for Continuum Powders were published last month. Life cycle assessment (LCA) evaluates the environmental impacts of a product across defined stages of its life cycle, from raw material sourcing to end-of-life management. In this study, we compared the life cycle impacts of nickel powder production using the conventional process with Continuum’s processes, which uses recycled feedstock instead of virgin raw materials. The results show a 58.8% reduction in global warming potential compared to conventional production. When combined with local sourcing, lower-carbon electricity, and lower-carbon inert gas supply, the reduction can reach up to 98.7%. The results of this study demonstrate how investments in sustainable technologies and processes can significantly reduce emissions from manufacturing. I’m grateful to have contributed to this work with Professor Karl Haapala and proud of the rigorous analysis behind these results. You can download the full study here: https://lnkd.in/gSAGrKZC

The conversation around a low-carbon economy can feel too complex for most people to fully understand, let alone trust. From using waste biomass to produce energy to direct air carbon capture, these concepts sound promising, but understanding their actual impact on the environment can be challenging for the average person. To cut through the noise surrounding decarbonization, we need to get back to basic quantitative principles - and that’s where Life Cycle Assessments (LCAs) can help. LCAs provide a clear, measurable view of the true carbon impact of any project. When conducted by third-party experts, these assessments bring specialized knowledge and methodologies, ensuring the highest level of precision. By analyzing every step in a project - from supply chain energy use to manufacturing and the final outcome - LCAs answer the critical question: what is the real carbon impact of my project? When stakeholders see a clear, unbiased assessment of their project's carbon impact, it makes decarbonization more tangible and understandable. This boosts confidence in sustainability efforts and supports better decision-making, helping us all move closer to a truly low-carbon economy.

Let's learn together :-) Understanding Product Life Cycle Assessment (LCA): A Key to Reducing Carbon Footprint Why Conduct a Product LCA? A Product LCA provides a science-based assessment of environmental impacts, helping companies: - Measure GHG emissions at every stage of a product’s life cycle. - Determine the most emission-intensive phases and materials. - Support corporate sustainability goals and #ESGreporting. - Align with sustainability policies - Foster eco-friendly product design and material selection. - Engage suppliers in carbon reduction initiatives. Step-by-Step Process of Product LCA Conducting a Product LCA involves four key phases as defined by ISO 14040 and ISO 14044 standards: 1. Goal and Scope Definition - Define the objective (e.g., carbon footprint calculation) - Set system boundaries: Cradle-to-Grave, Cradle-to-Gate, or Gate-to-Gate. - Establish functional unit (e.g., 1 kg of product, 1 unit of service). 2. Life Cycle Inventory Analysis - Collect data on raw materials, energy use, water consumption, and emissions. - Identify direct and indirect emissions associated with manufacturing, transport, use, and disposal. - Engage supply chain partners for data on upstream emissions. 3. Life Cycle Impact Assessment (LCIA) - Convert inventory data into environmental impacts using impact assessment methods like: - Global Warming Potential (CO₂e emissions) - Acidification Potential (SO₂ emissions) - Eutrophication Potential (water pollution) - Resource Depletion (raw material consumption) 4. Interpretation and Decision-Making - Analyze results to identify emission hotspots. - Compare different materials, processes, or suppliers for sustainability improvements. - Develop carbon reduction strategies, such as material substitution, energy efficiency, or circular economy initiatives. Tools for Conducting Product LCA - SimaPro - GaBi - OpenLCA - One Click LCA - Ecoinvent databases Relationship between LCA and Scope 3 Emissions Scope 3 emissions are those indirect emissions occurring in a company’s value chain. They often represent the largest share of total emissions but are the hardest to measure. Product LCA helps in the following way: - Quantify Scope 3 Emissions: Identify embedded carbon in purchased goods, raw materials, and transportation. - Optimize Supply Chain Choices: Select low-carbon suppliers and transportation modes. - Improve Circular Economy Strategies: - Support Carbon Reduction Targets: Align SBTi and Net-Zero commitments. Conclusion Product LCA is a powerful tool for businesses aiming to achieve sustainability goals, reduce carbon footprints, and make data-driven decisions. By integrating LCA insights into product design, supply chain management, and #SustainabilityStrategy, companies can mitigate Scope 3 emissions and strengthen their competitive edge in a low-carbon economy. #LCA #Sustainability #CarbonFootprint #Scope3 #ESG #ClimateAction

A single LCA study of a product candidate takes an expert 30-60+ days. That’s not scalable. Here’s a step-by-step framework to automate this process at scale: CONTEXT: We’ve conducted LCAs for various companies over the past 30 years. Usually, it takes an LCA expert 30, 60, and sometimes even 90 days to complete this study. Since this isn’t scalable, we’ve built a process to conduct LCAs and calculate product carbon footprints automatically with just a few mouse clicks. Here’s how we do it and how you can, too: 1) Analyze the product categories & portfolios you want to assess If you want to automate LCAs/product carbon footprints, you need to understand the complexity of the bills of materials within your product portfolio. In most cases, you’re dealing with diverse products and sourcing materials from various sectors and industries. Action item: Start by grouping products with similar bills of materials, raw materials, or components into the same category. 2) Start collecting data It can take LCA experts 20-60 days to collect the required data. Primarily, because they need to understand production systems and supply chain dynamics. So, focus on gathering essential data about the lifecycle and upstream processes. Action Item: Start by reviewing and documenting data sources. Focus on internal data use and identify where you need more in-depth supply chain data. 3) Develop a Generic Model If you have diverse product lines, you need to find a way to standardize the assessment process. Use a generic model that automatically adjusts to various product specifics so you don’t need a separate model for each production line. Action Item: Build a generic model that can handle different products' BOMs and related production processes automatically. 4) Implement Smart Mapping Normally, you’d need to map purchased materials to secondary database entries one by one to calculate the LCA/carbon footprint. With smart mapping, you can link materials to the most suitable datasets from databases like Ecoinvent or Carbon Minds automatically (using machine learning) Action Item: Integrate Smart mapping to match material data with secondary databases. 5) Scale Up and Automate Next, integrate the generic model and smart mapping into your IT systems. Now, you can run LCA calculations and carbon footprint assessments across numerous products with just a few mouse clicks.