Blar i NTNU Open på forfatter "Georges, Laurent Francis Ghislain"
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Demand response with active phase change material based thermal energy storage in buildings
Chandra, Aneesh; Zong, Yi; Georges, Laurent Francis Ghislain; You, Shi (Journal article; Peer reviewed, 2023) -
Demonstrating the load-shifting potential of a schedule-based control in a real-life educational building
Clauß, John; Brozovsky, Johannes Georg; Georges, Laurent Francis Ghislain (Journal article; Peer reviewed, 2024)This work investigates the potential of simplified control approaches to deploy the building energy flexibility (BEF), here for the shifting of the space-heating load in a real-life educational building. The educational ... -
Low-parameter linear model to activate the flexibility of the building thermal mass in energy system optimization
Askeland, Magnus; Georges, Laurent Francis Ghislain; Korpås, Magnus (Peer reviewed; Journal article, 2023)As buildings are becoming an integrated part of the energy system, the potential activation of the thermal mass as a source of flexibility needs to be considered in energy system modeling. Since energy system models represent ... -
Measurement of the Wood Stove Impact on the Electric Power Consumption of a Norwegian Detached House
Mohammadabadi, Abolfazl; Skreiberg, Øyvind; Georges, Laurent Francis Ghislain (Journal article; Peer reviewed, 2023)Wood stoves are commonly used as space heating systems in Norwegian houses. However, the specific impact of wood stoves on electric power remains relatively unexplored and is investigated in our study. We also aim to reveal ... -
Optimal control of a bio-based phase change material thermal energy storage for demand response
Nunna, Aneesh Chandra; Galteland, Olav; Georges, Laurent Francis Ghislain; Zong, Yi (Peer reviewed; Journal article, 2025)In this study, the design and development of an optimal control strategy for the operation of an innovative bio-wax phase change material based pillow plate thermal energy storage unit delivering space heating to a ... -
Optimizing ventilation systems considering operational and embodied emissions with life cycle based method
Liu, Peng; Tønnesen, Jens; Caetano, Luis; Bergsdal, Håvard; Justo Alonso, Maria; Kind, Reidar; Georges, Laurent Francis Ghislain; Mathisen, Hans Martin (Journal article; Peer reviewed, 2024) -
Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder – Decoder
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Journal article; Peer reviewed, 2023)Hybrid ventilation is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system. To operate such systems optimally, a high-fidelity control-oriented modesl is required. ... -
pymodconn: A python package for developing modular sequence-to-sequence control-oriented deep neural networks
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Peer reviewed; Journal article, 2023)This paper introduces "pymodconn", a comprehensive python package developed for constructing modular sequence-to-sequence control-oriented deep neural networks. These deep neural networks (DNNs) are designed to predict the ... -
Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
Sartori, Igor; Walnum, Harald Taxt; Skeie, Kristian; Georges, Laurent Francis Ghislain; Knudsen, Michael D.; Bacher, Peder; Candanedo, José; Sigounis, Anna-Maria; Prakash, Anand Krishnan; Pritoni, Marco; Granderson, Jessica; Yang, Shiyu; Wan, Man Pun (Journal article; Peer reviewed, 2023) -
Synconn_build: A python based synthetic dataset generator for testing and validating control-oriented neural networks for building dynamics prediction
Chaudhary, Gaurav; Johra, Hicham; Georges, Laurent Francis Ghislain; Austbø, Bjørn (Peer reviewed; Journal article, 2023)Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, ... -
Validation of the Energy Demand Load Profile Estimator “PROFet” for Trondheim Non-residential Buildings
Mohammadabadi, Abolfazl; Sartori, Igor; Georges, Laurent Francis Ghislain (Journal article; Peer reviewed, 2024)Accurate long-term forecasts of aggregate energy load profiles are crucial for effective energy system planning at regional and national scales. This study aims to validate PROFet, a flexible load profile modeling tool. ...