Agenda

Digital technologies are key to the development of green energy, supporting the efficient management of renewable energy production, storage, and distribution. In Poland, where the capacity of renewable energy sources (RES) is growing, digitization enables better production forecasting, optimization of storage and distribution, and effective management of supply variability. Solutions such as AI, IoT, and smart energy grids facilitate the integration of renewable energy sources, prevent their disconnection from the grid, and reduce dependence on fossil fuels. Digital data analytics platforms support flexible models of energy production and consumption, contributing to the energy transition and achieving carbon neutrality by 2050.

The shift towards a circular economy (CE) requires the support of digital technologies that enable efficient resource utilization, waste minimization, and reduced environmental impact. Key solutions, such as IoT, allow for real-time monitoring of product life cycles and process optimization through real-time data. Meanwhile, artificial intelligence aids in demand forecasting, logistics, and recycling processes. Blockchain ensures supply chain transparency, while automation and algorithms streamline recycling and waste management. These technologies also facilitate the development of business models based on sharing, repair, and rental, thereby extending product lifespans.

Digital twins are virtual representations of real-world systems that enable efficient monitoring and optimization of energy and water usage. Through integration with sensors and IoT systems, digital twins allow for real-time modeling and tracking of resource consumption, identification of areas of excessive usage, and process optimization.

Digital technologies play a key role in improving the efficiency of heat recovery by enabling more precise monitoring, optimization, and management of this process. With artificial intelligence (AI), the Internet of Things (IoT) and data analytics, it becomes possible to better manage heat recovery systems, identify areas where heat can be efficiently captured and reused, and forecast optimal operating conditions for installations.

Digital technologies play a crucial role in leveraging data to support business development, including contributing to reporting requirements under the CSRD (Corporate Sustainability Reporting Directive). Analytical platforms and big data tools enable the collection, storage, and analysis of large datasets related to a company’s ESG (Environmental, Social, and Governance) activities.

Data management systems (DMS) and integrated ESG platforms enable centralized data storage and facilitate easy access, supporting managerial decisions and the implementation of innovative solutions. Cloud technologies allow companies to store and exchange data in real time, contributing to better collaboration with stakeholders.

AI holds tremendous potential that can be harnessed to support climate change mitigation and adaptation. AI can help streamline processes within organizations, contributing to the reduction of carbon footprints and pollution generated by businesses.

As noted in the Cisco AI Readiness Index 2024, Poland has seen a decline in the readiness to implement artificial intelligence in companies, dropping from 6% last year to 2%. At the same time, AI is increasingly being incorporated into business strategies by management teams. How are companies currently using AI for sustainable development, and what best practices can be identified in the market?