A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements

In a global context of increasing flexibility in the way workplaces and the districts in which they are located are used, there is a need for occupant-driven approaches to plan urban energy systems. Several authors have suggested the use of agent-based models (ABM) of building occupants in urban building energy simulations due to their...

Machine Learning-Assisted Analysis of Energy Consumption Profiles and Efficiency in Uilenstede Campus Buildings: An Analysis of User Energy Profile Patterns and Clustering of Uilenstede Campus Energy Consumption Data

The study of energy consumption across various building clusters offers a path to discerning intricate patterns and establishing energy efficiency metrics. However, these analyses have mostly been limited to small, controlled settings, leaving a vast potential for broader application in energy efficiency management and classification untapped....

A probabilistic building characterization method for district energy simulations

To assess the impact of implementing energy efficiency and renewable energy measures, urban building energy models are emerging. In these models, due to the lack of data, the natural variability of the existing building stock is often highly underestimated and uncertainty on the simulated energy use arises. Therefore, this work proposes a...

Modelling of potential energy savings of solar powered smart windows

The built environment is among the highest energy consuming sectors worldwide. However, buildings have large surface areas that can be used to improve the building energy performance. One example is by integration of photovoltaic systems in roofs and facades, which can reduce the carbon footprint of the built environment. An emerging field that...

Large-scale building age classification for urban energy demand estimation: Geo and satellite data for building age identification

Urban areas are the biggest consumers of electricity and energy consumption is only likely to increase with rapid urbanization. Out of the urban building stock residential buildings require continuous supply of energy for space heating and appliances. To answer to this demand in a sustainable way policy maker need to design energy efficiency...

Bayesian calibration at the urban scale: A case study on a large residential heating demand application in Amsterdam

A bottom-up building energy modelling at the urban scale based on Geographic Information System and semantic 3D city models can provide quantitative insights to tackle critical urban energy challenges. Nevertheless, incomplete information is a common obstacle to produce reliable modelling results. The residential building heating demand...

Urban building energy modeling using a 3D city model and minimizing uncertainty through Bayesian inference: A case study focuses on Amsterdam residential heating demand simulation

To cut down immense greenhouse gases emission and energy consumption in the rapidly urbanizing world, a holistic understanding and rethinking of our dynamic urban energy system are inevitable. Performing bottom-up building energy modelings at urban scale based on Geographic Information System (GIS) and semantic 3D city models could be a...

Inverse Modelling for Determination of Resistance & Capacitance of Typical Dutch Residences Using Genetic Algorithms

This thesis deals with determination of Resistance (R) value and Heat Capacity of building envelopes in the commonly found residential architecture in Holland i.e. pitched roof houses. The aim of this thesis is to find an easy to implement novel method which gives reasonably accurate results. In the absence of actual sensor data, the data-sets...

Dual estimation: Constructing building energy models from data sampled at low rate

Estimation of energy models from data is an important part of advanced fault detection and diagnosis tools for smart energy purposes. Estimated energy models can be used for a large variety of management and control tasks, spanning from model predictive building control to estimation of energy consumption and user behavior. In practical...

Performance assessment of building energy modelling programs and control optimization of thermally activated building systems

In the last decades, there is a lot of discussion about climate change and energy shortage. In building industry great amounts of energy are spent for heating and cooling which in return produce large quantities of CO2 emissions. Therefore, it is self-understandable that efforts towards more effective and sustainable solutions have to be made....