Temperature and humidity adaptive control in multi-enclosed thermal zones under unexpected external disturbances

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• 作者：Annamaria Buonomano^a ; Umberto Montanaro^a ; ^{umberto.montanaro@unina.it} ; ^{umberto.montanaro@gmail.com} ; Adolfo Palombo^a ; Stefania Santini^b
• 关键词：Building simulation ; Model reference adaptive control algorithm ; Multi enclosed zones ; Thermo hygrometric analysis
• 刊名：Energy and Buildings
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：135
• 期：Complete
• 页码：263-285
• 全文大小：7137 K
• 卷排序：135

文摘

In this paper a new dynamic simulation model for the building energy performance analysis of multi-enclosed thermal zones, where rigid air temperature and humidity conditions must be kept, is presented. The model was implemented in a suitable computer code (DETECt 2.3.1) developed for research scopes. Such simulation model allows the hygrothermal analysis of buildings with multi-enclosed thermal zones surrounded by larger ones (e.g. display glass cases with valuable artefacts in museum halls, neonatal intensive care units for premature and full-term newborn babies in hospitals wards, etc.). For this purpose, a novel control algorithm, based on a model reference adaptive control scheme, enabling the online adaptation of the control gains, is implemented. Rigid air temperature and humidity conditions can be guaranteed also in case of sudden and rapid variations of hygrothermal loads. Through such new tool innovative techniques and operative strategies for obtaining energy efficiency and indoor comfort of special building spaces can be studied.In order to show the capabilities of the tool and the robustness of the adaptive algorithm, as well as the potentiality of the proposed multidisciplinary approach to the energy-related behaviour in buildings (based on building energy modelling and simulation and control theory), two meaningful case studies have been developed. In particular, they refer to the museums and hospital indoor spaces where enclosed thermal zones have to be kept under stringent hygrothermal conditions.