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

• 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 k g C O 2 . 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.

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Publication Details

Journal
Energy Conversion and Management
Published
2024-11-04
DOI
https://doi.org/10.1016/j.enconman.2024.119204
Citations
4
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.06
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article

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

Mohamad T. Araji, Muhammed A. Hassan, Mahmoud A. Kassem, Ahmed E. Elbakhshwan
4 citations
Energy Conversion and Management
Building Energy and Comfort Optimization
1.06
article

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

Mohamad T. Araji, Muhammed A. Hassan, Mahmoud A. Kassem, Ahmed E. Elbakhshwan
article en
4 citations

Abstract

• 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 k g C O 2 . 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.

Energy Conversion and ManagementVol. 322
Cairo University (EG), University of Waterloo (CA)
Affordable and clean energy
Openalex Percentile: Top 24%
Building Energy and Comfort Optimization
1.06
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