World Congress 2026 Europe Jul 9, 2026 Session details

Life Cycle Impact Assessment in TypeScript

Corinna John

How do you make complex environmental impact assessments accessible to non-experts? Learn to connect heavy sustainability engines to custom React frontends using the olca-ipc TypeScript library.

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#1 about 2 min

Introduction to life cycle assessment and inventory analysis

Understanding the life cycle assessment framework reveals the core importance of primary and secondary inventory data for accurate measurement.

#2 about 2 min

Defining system boundaries for physical product modeling

Real-world supply chain complexities require engineers to define strict system boundaries when modeling the physical footprint of new products.

#3 about 5 min

Calculating environmental impacts inside the OpenLCA desktop client

Exploring a standard open-source desktop tool illustrates the difficulty of modeling complex supply chain parameters and calculating aggregate carbon emissions.

#4 about 5 min

Creating simplified web interfaces using the olca-ipc library

Utilizing modern web technologies and interprocess communication enables developers to fetch impact methods and run headless calculations from custom frontends.

#5 about 3 min

Visualizing calculation results as flow charts and graphs

Extracting graph nodes from calculation sets allows developers to visualize positive and negative climate impacts as intuitive material flow charts.

#6 about 2 min

Abstracting standard assessment frameworks for non-expert users

Building simplified interfaces over complex technical frameworks empowers broader business audiences to seamlessly perform their necessary environmental assessments.

#7 about 3 min

Leveraging established material databases for deep supply chain precision

Relying on comprehensive environmental databases like Ecoinvent automatically resolves the deep micro-details required for accurate global market flow models.

#8 about 2 min

Exploring the potential of artificial intelligence in dataset collection

Automating manual evaluation efforts with artificial intelligence could drastically accelerate the future discovery and integration of secondary environmental data.

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1:54 min

Analyzing the climate impact of the software industry

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