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Thesis topic proposal
 
Zsuzsa Szalay
Environmental optimization of buildings based on building information modelling

THESIS TOPIC PROPOSAL

Institute: Budapest University of Technology and Economics
civil engineering
Pál Vásárhelyi Doctoral School of Civil Engineering and Earth Sciences

Thesis supervisor: Zsuzsa Szalay
Location of studies (in Hungarian): Department of Construction Materials and Technologies
Abbreviation of location of studies: EOEM


Description of the research topic:

Buildings and the construction sector was responsible for 37% of energy-related carbon emissions in 2020. The operation of buildings is the largest emitter, but the production of building materials also accounts for around 10% of emissions.
Efficient energy use in buildings has been promoted through regulations and other incentives in recent decades. However, these measures still focus only on the operational energy use. Higher energy efficiency results in higher material use, which also indicates the importance of the production phase. Recent developments have turned the spotlight on the embodied emissions of buildings. The whole life cycle environmental impacts of buildings including embodied and operational emissions can be determined with the method of Life Cycle Assessment (LCA). LCA and energy simulations can be combined with heuristic algorithms to efficiently optimize the building design and minimize the environmental impact. On the other hand, digitalization in the architecture, engineering and construction industry enables the collection and analysis of a large amount of data. A new approach is to connect environmental optimization with Building Information Modelling (BIM). BIM is a 3D representation of a building for storing physical and functional information that supports the planning, design, construction and operation phases. Dynamic information on the real-time operation of buildings can be derived from Internet of Things (IoT) devices.
The main goal of this research is to investigate the potential of BIM-based environmental building optimization and the integration of real-time data from IoT systems. A computational framework will be developed and tested on various buildings to determine the optimal design. Sensor data from monitored buildings will be integrated into BIM and analysed to validate the design optimums.

Main research tasks:
• Literature review on LCA, BIM and IoT
• Development of a framework and workflow for the integration of BIM, energy simulation, environmental assessment and sensor data
• Environmental optimization of building design, exploring alternatives
• Analysis of large sensor datasets from monitored buildings, validation of optimum designs
• Sensitivity analysis of optimum solutions to climate, climate change, energy sources, etc.


Deadline for application: 2024-05-31


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )