Results
Result 1: Prototype of AI-based software plug-ins for self-diagnosis of faults and energy waste in building installations.
📖 Report: D 1.01 Real time implementation of part of the 4S3F method in two living labs
👩🏼💻 Code
🎥 Webinar
📖 Report: D 1.03 a/b Open library of standardized DBN models for the most common components & sensors / models / control in installations
📖 Report: D 1.04 a Expansion of the method: impact of prior and conditionals probablities in DBN
📖 Report: D 1.04 b Expansion of the method: additional data from building management in DBN/expert knowledge
📖 Report: D 1.05 a Extension of the 4S3F HVAC B28 framework for identifying undefined end-user use and poor indoor climate quality
📖 Report: D 1.05 b Extension of the 4S3F AHU framework for identifying undefined end-user use and poor indoor climate quality analyzing subject live data
📖 Report: D 1.05 c Extension of the 4S3F framework for identifying suboptimal controls in energy-flexible buildings (Controls)
Result 2: Prototypes of smart software plugins for symptom detection, fault diagnosis and predictive condition-based maintenance
📖 Report: D 1.07 Evaluation Machine Learning algorithms, applying new sensors & possibilities dynamic air conditioning
📖 Report: D 1.08 Machine learning and other techniques for for FAULT DIAGNOSIS
📖 Report: D 1.10 Overview of existing knowledge and inventory of existing products with potential for application / First software modules for application condition dependent maintenance at sub-system level
Result 3: Open-source energy models for buildings and installations and associated energy buffering and algorithm for forecasting energy demand
O2.1: Open-source and modular energy model of HVAC and electrical installations with buffer options
O2.2: Open-source energy demand and local energy forecasting methods, including forecast accuracy
O2.3: Algorithm for reliable forecasting of energy demand and local energy supply
Result 4: Method and prototype for AI-based software plug-in for real-time control and optimization of energy-flexible installations
📖 Report: D 2.04 | D.2.05 Open high-frequency energy balance model & Flexibility management control system
👩🏼💻 Code
📖 Report: D 2.06: Implementation of flexibility management & control
🎥 Webinar #13 Optimising energy consumption and increasing energy flexibility of a nearly transparent building using MPC
👩🏼💻 Code
📖 Report: D 2.07: Proof-of-principle of selected functions of flexibility management
📖 Report: D 2.08: Open balance software implementation by industrial partners
Result 5: Methodology & data for user-centered approach in smart building control
📖 Report: D 3.01 Method for monitoring and collecting real-time subjective comfort data
📖 Report: D 3.02 Method to assess occupants’ comfort and health
📖 Report: D 3.04 insight of what feedback to the user will help user acceptance, reduce complaints and increase energy saving
🎥 Webinar #11 Experiences with user feedback in a living lab environment
📖 Report: D3.07 Data-driven method to visualise building’s systems, energy use, perceived health and impacts of behaviour, according to requirements of different end-users developed with ML algorithms
Result 6: Prototyping of data-driven user-oriented interfaces for a healthy indoor climate, energy efficiency and energy flexibility of the building
📖 Report: D 3.12 Report on user-centric approach for the design and evaluation on interfaces
O3.6a: Personalized interfaces – healthy and energy efficient buildings for end-users and FMs
O3.6b: Personalized interfaces – energy flexibility – for end users and FMs
📖 Report: D 3.10 Interface guidelines for occupant-centered smart climate control systems
📖 Report: D 3.11 Report on the evaluation of interfaces
Result 7: Standardized methodology for guaranteeing secure and ethically responsible access to and use of data (collection, management and use)
Result 9: Standardized methodologies and guidelines for defining and transforming buildings to smart readiness
📖 Report: D 4.11 Benchmark analysis and validation of smart readiness indicator
Result 8: Linked data at the systemic level, leading to system integration via APIs rather than direct links or database integrations (both open and private data models)
📖 Report: D4.09 Report standardization of data management and integration results (NEN, CEN, ISO)
📖 Report: D 4.07 Roadmap for levering smart buildings
📖 Report D 4.10: Evaluation of business opportunities for the market adoption of technical solutions in smart buildings.
🎥 Webinar #19 Optimizing Asset Management: A Roadmap for Leveraging Smart Buildings
Student Reports
- Modelling and predicting the heating and cooling demand of a building with a simple fast data-driven model – MSc Thesis
- Hardware-in-the-Loop Testing for Smart Charging Controller Development – MSc Thesis
- Effects of data-driven forecasting models on controlling energy management systems – MSc Thesis
- Exploring the integration of occupant behaviour in fault detection and diagnosis in smart buildings – MSc Thesis
- Model predictive controller for a battery energy storage system to reshape the energy demand curve of an office – MSc Thesis
- Multivariable anomaly detection framework for multi-sensor network – MSc Thesis
- Reshaping EV load profiles at an office by adopting smart charging strategies – MSc Thesis
- From energy flexibility to design choice – Bachelor Thesis HHS
Conference and Scientific Journal Publications
- Pieter Pauwels, Juan David Barbosa Ramirez, Lasitha Chamari, Ekaterina Petrova, Lu Wan, Gabe Fierro, Francesco Goia (2024) Technical Feature: The Meta of Data in Smart Buildings: What’s In It For You? – ASHRAE Journal, Vol. 66, no. 10
- Pieter Pauwels, Lu Wan, Lasitha Chamari, Juan David Barbosa Ramirez, Ekaterina Petrova, Gabe Fierro, Francesco Goia (2024) Technical Feature: Metadata for Smart Control in Smart Buildings – ASHRAE Journal, Vol. 66, no. 9
- Srinivasan Gopalan, Agata Rijs, Shobhit Chitkara, Anand Thamban, Rick Kramer (2024) Fault prioritisation for Air Handling units using fault modelling and actual fault occurrence data – Energy and Buildings
- Nitant Upasani, Olivia Guerra-Santin, Masi Mohammadi (2024) Developing building-specific, occupant-centric thermal comfort models: A methodological approach – Journal of Building Engineering
- Robbert Jan Dikken (Peutz) (2024) Lokale zonvoorspelling met hybrid AI op basis van beperkte weerdata – TVVL Magazine
- Piet Jacobs, Coen Hogervorst, Agata Rijs, Sander van der Harst, David Keyson (2023) User centric assessment of comfort and health in offices – an explorative field study – Healthy Buildings Europe 2023
- Karzan Mohammed, Vinayak Krishnan, Hailin Zheng, Shalika Walker, Rick Kramer, Wim Zeiler (2023) Low cost-effective measurements for schools – Proceedings of Healthy Buildings 2023 Europe
- Srinivasan Gopalan, Hailin Zheng, Shalika S.W. Walker, Rick P. Kramer, Wim Zeiler (2023) Evaluation of the performance of low-cost monitors for their use in fault detection and diagnosis – Proceedings of Healthy Buildings 2023 Europe
- Isa Dols, Tadeo Baldiri Salcedo Rahola (2023) From energy flexibility to design choice – International Conference on Future Energy Solutions (FES)
Stefan Boogaard, Dave Cheung, Tadeo Baldiri Salcedo Rahola (2023) Building energy flexibility assessment with static data – International Conference on Future Energy Solutions (FES)
- Hicham Johra, Han Li, Flavia de Andrade Pereira, Kingsley Nweye, Lasitha Chamari, Zoltan Nagy (2023) IEA EBC Annex 81 – Data-driven smart buildings: Building-to-grid applications
- Lasitha Chamari, Ekaterina Petrova, Pieter Pauwels (2023) An End-to-End Implementation of a Service-Oriented Architecture for Data-Driven Smart Buildings
- Yun Li, Neil Yorke-Smith, Tamas Keviczky (2023) Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach
- Yun Li, Neil Yorke-Smith, Tamas Keviczky (2023) Robust Optimal Control With Inexact State Measurements and Adjustable Uncertainty Sets
- Lasitha Chamari, Ekaterina Petrova, Pieter Pauwels (2023) Extensible real-time data acquisition and management for IoT enabled smart buildings
- Lasitha Chamari, Ekaterina Petrova, Pieter Pauwels, Joep van der Weijden, Lolke Boonstra, Stefan Hoekstra (2023) Metadata Schema Generation for Data-driven Smart Buildings
- Xiang Xie, Jorge Merino, Nicola Moretti, Pieter Pauwels, Janet Yoon Chang, Ajith Parlikad (2023) Digital twin enabled fault detection and diagnosis process for building HVAC systems – Automation in Construction
- Wim Zeiler (2022) Brains for Buildings to Achieve Net Zero – Towards Net Zero Carbon Emissions in the Building Industry
- Shobhit Chitkara, Aletvan den Brink, Shalika Walkera, Wim Zeiler (2022) An early prototype for fault detection and diagnosis of Air-Handling Units – World Congress CLIMA
- Arie Taal, Laure Itard (2022) Automatic Energy performance Diagnosis of HVAC Systems by the 4S3F method – World Congress CLIMA
- Ziao Wang, Arjen Meijer, Laure Itard (2022) 4S3F Diagnostic Bayesian Network method: discussion about application and technical design – World Congress CLIMA
- Bram Hajee, Kees Wisse, Peyman Mohajerin Esfahani (2022) Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks – World Congress CLIMA
- Lasitha Chamari, Ekaterina Petrova, Pieter Pauwels (2022) A web-based approach to BMS, BIM and IoT integration: a case study – World Congress CLIMA
- Mohammad Samir Ahmed, Joep van der Velden, Ali Soleymani, Paula van den Brom, Maaike Konings, Laure Itard, Marcus Specht, Ellen Sjoer, Wim Zeiler (2022) Learning and Knowledge Transfer of Professionals within the Building Services Sector – World Congress CLIMA
- Pieter Pauwels, Gabe Fierro (2022) A Reference Architecture for Data-Driven Smart Buildings Using Brick and LBD Ontologies – World Congress CLIMA
- Adrien Lucbert, Juliën van der Niet, Albert Corson, Michael Weij, Ramon Isaac van der Elst, Jesús M Martínez de Juanc, Tadeo Baldiri Salcedo Rahola (2022) Time Series Building Energy Systems Data Imputation – World Congress CLIMA
Other publications
- “From Connected to Automated Buildings” Pieter Pauwels – REHVA at Light and Building (VIDEO) – March 2024
- Onderzoek: Lokale zonvoorspelling met hybride Al op basis van beperkte weersdata – February 2024
- International Energy Agency: A Data Sharing Guideline for Buildings and HVAC Systems – March 2023
- Comfort apps: hoe vaak gebruiken we ze? – February 2023
- Brains4Buildings: Slimme, data-gedreven gebouwen (Martijn Kruijsse) – TVVL 2023
- Evaluatie klimaatklasse A in de praktijk – December 2022
- Energieflexibiliteit opschalen met datagestuurde slimme gebouwen – September 2022
- PropertyNL (publication in progress)