Module 6 provides a comprehensive case study on the refurbishment of district heating systems, focusing on practical applications of the knowledge gained in previous modules. The module examines the economic and technical justifications for refurbishment, exploring case studies of housing estate renovations and the introduction of district heating into urban downtown areas. Key topics include the implementation of compact, modular substations, efficient domestic hot water production methods, and the refurbishment of older radiator systems. The module also addresses energy efficiency improvements in existing building stock, the importance of demand-side management, and the application of machine learning for accurate district heating demand prediction.
Main topics of this module
This module will utilize a combination of case studies, real-world examples, technical specifications, and data sets related to district heating system refurbishment projects. Students will have access to detailed technical reports, and presentations of successful refurbishment initiatives. A module guidebook will provide additional context and learning recommendations.
Module 6 will primarily involve in-depth analysis of case studies, requiring students to apply previously learned concepts to evaluate the economic viability, energy efficiency, and environmental impact of various refurbishment strategies. Group work will involve developing refurbishment plans for hypothetical scenarios, incorporating cost-benefit analyses and sustainable design principles. Students will also utilize energy modeling software to simulate the impact of different refurbishment options. The module culminates in a final project where students propose a comprehensive refurbishment plan for a specific district heating system, presenting their findings and recommendations.
Learning Outcomes (skills and competences)
Upon completion of this module, learners will be able to critically evaluate the economic and technical justifications for refurbishing district heating systems, considering factors such as energy efficiency, environmental impact, and cost-effectiveness. They will be proficient in applying principles of demand-side management and using predictive modeling techniques to optimize system performance. Furthermore, they will be able to develop and present comprehensive refurbishment plans for real-world scenarios, integrating sustainable design and technological advancements.