A5010162774- Building Energy and Comfort Optimization
- Integrated Energy Systems Optimization
- Smart Grid Energy Management
- Energy Efficiency and Management
- Geothermal Energy Systems and Applications
- Energy Load and Power Forecasting
- Sustainable Building Design and Assessment
- Renewable Energy and Sustainability
- Facilities and Workplace Management
- Air Quality Monitoring and Forecasting
- Wind and Air Flow Studies
- 3D Surveying and Cultural Heritage
- Urban Heat Island Mitigation
- Life Cycle Costing Analysis
- Frequency Control in Power Systems
- Anomaly Detection Techniques and Applications
- Environmental Impact and Sustainability
- Solar Energy Systems and Technologies
- Distributed and Parallel Computing Systems
- Video Surveillance and Tracking Methods
- Power Systems and Technologies
- Fault Detection and Control Systems
- Smart Grid and Power Systems
- Urban Planning and Valuation
- Social Acceptance of Renewable Energy
Aalborg University
2014-2024
Building Research Institute
2023
Zero Emissions Resource Organisation
2010
The idea of a Net Zero Energy Building (Net ZEB) is understood conceptually, as it that the way ZEB defined affects significantly designed in order to achieve goal. However, little agreement exists on common definition; term used commercially without clear understanding and countries are enacting policies national targets based concept definition place. This paper presents harmonised framework for describing relevant characteristics ZEBs series criteria. Evaluation criteria selection related...
This study explores two modeling approaches for occupancy detection at room level residential buildings in Denmark. The aim is to assess the performance and generalizability of occupant models using XGBoost method trained on a rich dataset comprising indoor environmental quality (IEQ) variables ground truth. A global approach room-specific are considered. After thorough feature selection importance analysis process, (ODMs) tested nested cross-validation schema. time day, CO2 concentration,...
The operational building data presented in this paper has been collected from six office rooms located an (research and educational purposes) on the main campus of Aalborg University Denmark. dataset consists measurements occupancy, indoor environmental quality, room-level system-level heating, ventilation lighting operation at a 5-minute resolution. quality system were management system. occupancy level each monitored room is established computer vision-based analysis wall-mounted camera...
This article presents a new methodology to disaggregate the energy demand for space heating (SH) and domestic hot water (DHW) production from single hourly smart heat meters installed in Denmark. The approach is idealized be easily applied several building typologies without necessity of in-depth knowledge regarding dwellings their occupants. paper introduces, tests, compares algorithms separate estimate SH DHW demand. To validate presented methodology, dataset 28 Danish apartments with...
This paper develops a computationally fast algorithm to disaggregate the total energy use recorded by smart heat meters into space heating (SH) and domestic hot water (DHW). The trains regression model on SH-only hours predicts SH for all other with potential DHW use. Data from were used identify only SH. Assessing 13 models, an untuned random forest was identified as best-performing acceptable computational cost (median: 7.4 s per building). Furthermore, using one year of data over 2400...
This study aimed to assess the current status of fault detection and diagnosis (FDD) implementation in building heating, ventilation air conditioning (HVAC) systems industry. Semi-structured qualitative interviews were conducted with 29 experts from different HVAC company types In addition, a literature review was performed investigate academic research on FDD implementation. The identified barriers drivers implementing systems, these included; technological technical, economic business,...
Buildings can deliver short-term thermal energy storage by utilising the capacity of building construction and/or activating water tanks included in heating/cooling installation. The flexibility potential demand management using decentralized has been quantified many theoretical modelling studies, and it is considered an essential technology for affordable transition. We have investigated drivers barriers to adoption buildings district heating cooling systems via a Strengths, Weaknesses,...
Accurate occupancy prediction in smart buildings is crucial for optimizing energy management, improving occupant comfort, and effectively controlling building systems, particularly short- long-term horizons. Recently, deep learning-based methods have gained considerable attention. However, the full potential of these remains under explored terms model architecture variations This study introduces cascaded LSTM Bi-LSTM models multi-horizon predictions from 10 minutes to 24 hours, integrating...
The international cooperation project IEA SHC Task 40 / ECBCS Annex 52 “Towards Net Zero Energy Solar Buildings”, attempts to develop a common understanding and set up the basis for an definition framework of Buildings (Net ZEBs). such buildings how ZEB status should be calculated differs in most countries. This paper presents overview ZEBs energy calculation methodologies proposed by organisations representing eight different countries: Austria, Canada, Denmark, Germany, Italy, Norway,...
In Europe, one of the most sustainable solutions to supply heat buildings is district heating. It has good acceptance in Northern countries, a low-carbon footprint, and can easily integrate intermittent renewable energy sources when coupled electrical grid. Even though heating seen as vital element for future, it requires extensive planning long-term investments. To increase understanding network performance demand-side dynamics connected buildings, several including Denmark, have installed...
The now widespread use of smart heat meters for buildings connected to district heating networks generates data at an unknown extent and temporal resolution. This encompasses information that enables new data-driven approaches in the building sector. Real-life sufficient size quality are necessary facilitate development such methods, as subsequent analyses typically require a complete equidistant dataset without missing or erroneous values. Thus, this work presents three years (2018-01-03...