Advanced model predictive control strategies for energy-efficient HVAC systems in pharmaceutical facilities

Tomažič, Simon (avtor), Škrjanc, Igor (avtor)

The paper presents a comprehensive study of advanced Model Predictive Control (MPC) strategies for pharmaceutical HVAC systems, subject to stringent regulatory requirements and substantial energy demands. Three control approaches–Predictive Functional Control (PFC), nonlinear MPC with Particle Swarm Optimisation (PSO) and energy-efficient MPC (EMPC)–are examined. Their ability to maintain strict temperature and humidity setpoints, reduce energy consumption and deal with system nonlinearities is evaluated. Data recorded over 445 days of HVAC operation, capturing variations in external temperature and humidity, underpins the assessment. The results demonstrate that EMPC can reduce total energy consumption by up to 20 %, while PFC offers a simpler implementation well-suited for industrial control systems. The results highlight the key trade-offs between control accuracy, computational complexity, and energy savings and provide a practical framework for the adoption of MPC-based solutions in pharmaceutical HVAC environments.

• Jezik: Angleški jezik
• Ključne besede: model predictive control, energy efficiency, pharmaceutical cleanrooms, digital twin, predictive functional control, particle swarm optimisation, fuzzy clustering, HVAC systems, multivariable control, pharmaceutical manufacturing
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: 10 str.
• Številčenje: Vol. 347, pt. B, art. 116348
• PID: 20.500.12556/RUL-172094
• UDK: 681.5
• ISSN pri članku: 1872-6178
• DOI: 10.1016/j.enbuild.2025.116348
• COBISS.SI-ID: 247882243
• Datum objave v RUL: 05.09.2025

Gradivo je del revije

• Naslov: Energy and buildings
• Založnik: Elsevier
• ISSN: 1872-6178
• COBISS.SI-ID: 23262469

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: modelno prediktivno vodenje, energetska učinkovitost, farmacevtske čiste sobe, digitalni dvojček