A5100758258- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Energy Efficiency and Management
- Integrated Energy Systems Optimization
- Air Quality Monitoring and Forecasting
- Lubricants and Their Additives
- Smart Cities and Technologies
- Vehicle emissions and performance
- Wind and Air Flow Studies
- Spectroscopy and Laser Applications
- Semiconductor Lasers and Optical Devices
- Plant Surface Properties and Treatments
- Semiconductor Quantum Structures and Devices
- Urban Heat Island Mitigation
Norwegian University of Science and Technology
2021-2024
Lund University
2021
Ministry of Science, Research and Technology
2010
Climate change and urbanization are two major challenges when planning for sustainable energy transition in cities. The common approach demand estimation is using only typical meso-scale weather data building models (BEMs), which underestimates the impacts of extreme climate microclimate variations. To quantify such underestimation on assessing future performance buildings, this study simulates a high spatiotemporal resolution BEM representative residential buildings located 600 × m2 urban...
The combined challenge of climate change and population aging requires novel solutions that enhance the resilience building energy systems secure indoor comfort for vulnerable occupants in extreme weather conditions. This research investigates performance a newly developed Energy Management (EM) system based on Collective Intelligence (CI) Reinforcement Learning (RL), called CIRLEM, managing an urban complex Ålesund, Norway, including elderly care center with decentralized PV generation, EV...
A novel energy management (EM) approach is introduced, integrating core elements of collective intelligence (CI) and reinforcement learning (RL) called CIRLEM. It operates by distributing a flexibility signal from the supplier to agents within grid, prompting their responsive actions. The reflects upon behaviour in grid learn decide using value-based model-free RL engine. Two ways running CIRLEM are defined, based on doing all decision making only at edge node (Edge Node Control or ENC)...
This research evaluates the impacts of flexible demand-side management on electricity load and indoor thermal comfort under extreme weather conditions, focusing elderly people. For this purpose, an care center in Ålesund, Norway is chosen as pilot building. A high spatiotemporal resolution building energy model developed including zones systems, verified against metered use. The performance assessed relation with installed PV production, during warm conditions considering 13 future climate...
This research introduces a novel Energy Management approach, named CIRLEM, aiming to enhance the smartness of buildings by focusing on technical systems operations, environmental variations, and occupants' needs. Deployed in simulated environment using Building Performance Simulation Python integration, study evaluates CIRLEM's performance under future extreme cold weather scenarios, employing set representative climate data. The pilot case, two building blocks Sweden, undergoes assessment...
A new configuration of the confinement structure is utilized to improve optoelectronic performance, including threshold current, ac current gain, optical bandwidth, and output power a single quantum well transistor laser. Considering drift component in addition diffusion term electron density, continuity equation developed analyze proposed structures. Physical parameters, mobility, recombination lifetime, factor, capture time, photon are calculated for Based on solving separate...
COLLECTiEF (Collective Intelligence for Energy Flexibility) is an EU-funded H2020 project running from June 2021 to May 2025. aims enhance, implement, test, and evaluate interoperable saleable energy management system based on collective intelligence that allows easy seamless integration of legacy equipment into a collaborative network within between existing buildings urban systems with reduced installation cost, data transfer, computational power while increasing user comfort, flexibility,...