To develop advanced optimization frameworks and heat trading mechanisms for reducing costs and emissions in district heating systems through renewable energy integration and collaborative heating solutions
Energy & Environment
Description
This project investigates innovative optimization techniques and peer-to-peer (P2P) heat trading mechanisms to enhance the efficiency and sustainability of district heating systems. The benefits of a novel tri-level optimization framework that integrates evolutionary and mathematical optimizers to minimize lifecycle costs and emissions in district heating plants are demonstrated, particularly when powered by renewable sources like biomass and solar. The framework’s application highlighted significant cost savings, with optimized storage systems improving operational flexibility. The economic and environmental advantages of P2P heat trading between buildings with solar collectors and storage are investigated, revealing potential reductions in operating costs and carbon emissions. By integrating green energy sources and collaborative heat trading, the project underscores the potential for scalable solutions in sustainable urban energy systems, reducing reliance on conventional heat production and promoting efficient energy use.
