Loading…

Thermal comfort-constrained nonlinear operational optimization of a solar-absorption-radiant cooling system

[Display omitted] •A thermal comfort-constrained NLP-based optimal controller is developed.•The solar-absorption-radiant cooling system has a solar fraction of 0.8.•Stricter comfort constraints increase the cost and emissions by 30.96% and 37.5%.•Doubling the ventilation rate increases daily operati...

Full description

Saved in:
Bibliographic Details
Published in:Energy conversion and management 2024-12, Vol.322, p.119204, Article 119204
Main Authors: Elbakhshwan, Ahmed E., Hassan, Muhammed A., Kassem, Mahmoud A., Araji, Mohamad T.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:[Display omitted] •A thermal comfort-constrained NLP-based optimal controller is developed.•The solar-absorption-radiant cooling system has a solar fraction of 0.8.•Stricter comfort constraints increase the cost and emissions by 30.96% and 37.5%.•Doubling the ventilation rate increases daily operating costs by 19%.•The solar-assisted system saves 45.9% on costs and reduces emissions by 52.5%. With the increasing demand for sustainable building solutions, especially under extreme weather conditions, there is a growing need for renewable-powered cooling systems that can minimize energy consumption and carbon emissions. Solar-absorption-radiant cooling systems offer a promising alternative to traditional air conditioning systems, but their effectiveness relies on efficient control strategies. This study investigates the optimal control of a solar-absorption-radiant cooling system for a single-story office building using non-linear programming (NLP) to minimize operating costs while maintaining thermal comfort. This is achieved by directly integrating the building model and thermal comfort calculations within the optimization procedure. By incorporating a solar collector, storage tank, assisting boiler, and absorption chiller, the system achieves a solar fraction of 0.8, minimizing daily operating costs to 2.11 USD and carbon emissions to ∼ 39.1 kgCO2. The system maintains an average PMV of 0.14, an operative temperature of 25.63 °C, and a coefficient of performance of 0.72. The study also explores the impact of varying thermal comfort constraints, ventilation rates, and inlet air temperatures on system performance. Stricter comfort constraints (PMV=-0.2 to 0.2) increase costs and emissions by 30.96 % and 37.5 % respectively, due to increased reliance on the natural gas boiler. Doubling the ventilation rate based on fresh outdoor air increases daily costs and emissions by 19 % and 22.6 % respectively. Conversely, utilizing a supplementary system to supply ventilation air at 25 °C significantly reduces costs and emissions by 26.2 % and 25.4 % respectively, and increases the solar fraction to 0.92. Compared to a conventional system powered solely by a natural gas boiler, the solar-powered system achieves substantial cost savings (45.9 %), reduced carbon emissions (52.5 %), and improved thermal comfort, highlighting the potential of this technology for sustainable building operations.
ISSN:0196-8904
DOI:10.1016/j.enconman.2024.119204