The Production of PLA Pallets
A state-of-the-art agro culture based mega manufacturing cellulose & starch pallets based facility dedicated to innovating sustainable solutions as alternatives to traditional plastics.
The UAE current single-use packaging market is valued at USD 1.37 Billion USD and USD 1.62 billion by 2028, at a CAGR of 3.45%.
The GCC Plastic Packaging Market was valued at USD 5.5 billion in 2020.
Expected to reach USD 7.11 billion by 2026, registering a CAGR of 4.4%, 2028=7.8 B
Our Obtainable target is 20% of the GCC market USD 2 B and 20% of Middle East and Africa is USD 25 Billion & obtainable market is USD 5 Billion
Bio-degradable and Compostable Raw Material Production
The Production
The first year we will produce 353,000 tons of PLA pellets
Each ton of PLA pellets can produce approximately
100,000 bags or be extruded into biodegradable and
compostable food packaging material.
The Market
The UAE and many other countries are introducing a plastic ban. Abu Dhabi records 95 per cent drop in use of single use plastic bags in one year.
This trend is being driven by a number of factors, including increasing awareness of the environmental impact of consumerism, the desire to support companies that are doing good for the planet, and the availability of more sustainable products on the market.The Environment Agency — Abu Dhabi (EAD) has confirmed that more than 172 million single-use plastic grocery bags have been prevented from entering the environment.
How our R&D facility is going to help
Reducing Plastic Use
Producing PLA at Industrial Scale
Producing PLA at Industrial Scale
- Reducing Single-Use Plastics usage by 50%
- Minimizes waste generation - up to 170 million plastic bags will be prevented from entering the environment.
- Biodegradability and Compostability.
- Exploring innovative solutions and ideas.
- Consumer Education and Behavior.
- Change Stakeholder engagement driving innovation in the field
Producing PLA at Industrial Scale
Producing PLA at Industrial Scale
Producing PLA at Industrial Scale
1.Material Discovery and Design: AI algorithms can analyze vast amounts of data on different materials, their properties, and their environmental impact to accelerate the discovery and design of new sustainable packaging materials. By predicting material characteristics and simulating their performance, researchers can identify promising candidates for further investigation.
2.Predictive Modeling: AI models can predict the behavior and properties of packaging materials under different conditions, such as mechanical strength, biodegradability, or barrier properties. This enables researchers to optimize material formulations and production processes to meet specific sustainability and performance criteria.
3.Lifecycle Assessment and Environmental Impact Analysis: AI can assist in conducting lifecycle assessments (LCA) to evaluate the environmental impact of different packaging materials and processes. By analyzing data on energy consumption, emissions, waste generation, and other factors, AI models can provide insights to guide decision-making towards more sustainable options.
4.Supply Chain Optimization: AI algorithms can optimize supply chain operations, such as raw material sourcing, transportation logistics, and inventory management, to minimize carbon footprint and reduce waste. This ensures efficient utilization of resources and reduces environmental impacts throughout the packaging production process.