This thesis consists of developing two jet grouting models through the programme PLAXIS, where the conventional method is compared to the innovative lamella method; with the purpose of finding which one is more suitable to reduce settlements in real life. These are then compared with real life data obtained …

This thesis investigates the structural feasibility of a vertical extension on an existing former industrial building located in Eltville am Rhein, Germany. The case study focuses on a former cocoa factory constructed in the 1960s, which was later partially converted into residential use. Due to the …

Though the problem of water risks is growing and becoming more evident, there is a lack of structured information about how these risks are managed through the certification process. While there are certain credits dedicated to managing water risks and implementing measures in regard to them in the …

The Netherlands is undergoing a massive (re)construction challenge. In addition to building new housing, a substantial part of the existing building stock of housing corporations is undergoing renovation. This renovation challenge has varying interactions with the energy transition, testified by the …

Building energy performance is largely determined during the early conceptual design stages. However, energy evaluation is often postponed until after key architectural decisions—such as massing and façade configuration—have been finalized, limiting opportunities for meaningful optimization. This study …

Abstract. The accelerating energy transition requires a well-trained workforce capable of im-plementing innovative building technologies and renewable energy systems. However, em-ployees in the construction and HVAC installation sectors often lack access to up-to-date train-ing due to high workloads, …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

Agent-based modeling (ABM) is a powerful tool for simulating building users’ dynamic behavior in demand response (DR) programs. However, ABM faces several challenges, particularly in encoding building users’ natural language features and common sense into rules or mathematical equations. To overcome …

This paper presents a case study where a model predictive control (MPC) logic is developed for energy flexible operation of a space heating system in an educational building. A Long Short-Term Memory Neural Network (LSTM) surrogate model is trained on the output of an EnergyPlus building simulation model. …