[HTML][HTML] Data-driven offline reinforcement learning for HVAC-systems
This paper presents a novel framework for Offline Reinforcement Learning (RL) with online
fine tuning for Heating Ventilation and Air-conditioning (HVAC) systems. The framework …
fine tuning for Heating Ventilation and Air-conditioning (HVAC) systems. The framework …
[HTML][HTML] Impact of zoning heating and air conditioning control systems in users comfort and energy efficiency in residential buildings
FF Hernández, JMP Suárez, JAB Cantalejo… - Energy Conversion and …, 2022 - Elsevier
Nowadays, in the residential sector, a widely used Heating, Ventilation and Air Conditioning
system is the ducted direct expansion inverter system based on the on/off control of a single …
system is the ducted direct expansion inverter system based on the on/off control of a single …
[HTML][HTML] nZEB: bridging the gap between design forecast and actual performance data
The nZEB objectives have raised the standard of building performance and changed the
way in which buildings are designed and used. Although energy dynamic simulation tools …
way in which buildings are designed and used. Although energy dynamic simulation tools …
[HTML][HTML] Analysis of a HVAC zoning control system with an air-to-water heat pump and a ducted fan coil unit in residential buildings
FF Hernández, A Atienza-Márquez, JMP Suárez… - Applied Thermal …, 2022 - Elsevier
This paper presents an analysis of a thermal zoning system integrated in a Heating,
Ventilation and Air-Conditioning (HVAC) system based on an air-to-water heat pump with a …
Ventilation and Air-Conditioning (HVAC) system based on an air-to-water heat pump with a …
[HTML][HTML] A laboratory test of an offline-trained multi-agent reinforcement learning algorithm for heating systems
This paper presents a laboratory study of Offline-trained Reinforcement Learning (RL)
control of a Heating Ventilation and Air-Conditioning (HVAC) system. We conducted the …
control of a Heating Ventilation and Air-Conditioning (HVAC) system. We conducted the …
Experimental analysis of an air heat pump for heating service using a “hardware-in-the-loop” system
Estimating and optimizing the dynamic performance of a heat pump system coupled to a
building is a paramount yet complex task, especially under intermittent conditions. This …
building is a paramount yet complex task, especially under intermittent conditions. This …
A multi-agent reinforcement learning approach to price and comfort optimization in hvac-systems
This paper addresses the challenge of minimizing training time for the control of Heating,
Ventilation, and Air-conditioning (HVAC) systems with online Reinforcement Learning (RL) …
Ventilation, and Air-conditioning (HVAC) systems with online Reinforcement Learning (RL) …
A novel data management methodology and case study for monitoring and performance analysis of large-scale ground source heat pump (GSHP) and borehole …
Aalto New Campus Complex (ANCC) is a recently inaugurated educational facility at Aalto
University, located in Otaniemi (Espoo), Finland. Within over 40,000 m2, it comprises two …
University, located in Otaniemi (Espoo), Finland. Within over 40,000 m2, it comprises two …
A design methodology for thermal storages in heat pump systems to reduce partial-load losses
The paper deals with the sizing and the arrangement of thermal energy storages in heat
pump systems for building service. Partial-load losses are an increasingly important …
pump systems for building service. Partial-load losses are an increasingly important …
Performance indexes of an air-water heat pump versus the capacity ratio: Analysis by means of experimental data
R Bruno, F Nicoletti, G Cuconati, S Perrella, D Cirone - Energies, 2020 - mdpi.com
The spread of near-Zero Energy Buildings (nZEB) involves the employment of high
performant air-conditioning plants where renewable sources can be integrated easily. In this …
performant air-conditioning plants where renewable sources can be integrated easily. In this …