20.500.12556/RUL-172094 Advanced model predictive control strategies for energy-efficient HVAC systems in pharmaceutical facilities 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. model predictive control energy efficiency pharmaceutical cleanrooms digital twin predictive functional control particle swarm optimisation fuzzy clustering HVAC systems multivariable control pharmaceutical manufacturing modelno prediktivno vodenje energetska učinkovitost farmacevtske čiste sobe digitalni dvojček true false true Angleški jezik Slovenski jezik Članek v reviji 2025-09-05 13:08:33 2025-09-05 13:08:37 2026-07-04 04:21:50 0000-00-00 00:00:00 2025 0 0 10 str. pt. B, art. 116348 Vol. 347 Nov. 2025 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 681.5 1872-6178 10.1016/j.enbuild.2025.116348 247882243 1-s2.0-S0378778825010783-main.pdf 1-s2.0-S0378778825010783-main.pdf 1 E0431888611D82D00BC315AE4EA838C7 eba61879c39e4e38a9999692f16268a9284cc8d0402d0bad4e915ea68fa709b9 3ff3f7e5-76d9-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=236985 https://www.sciencedirect.com/science/article/pii/S0378778825010783 1 860e44fe-8a48-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=215856 Fakulteta za elektrotehniko 0 0 0