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Title: Control strategy optimization of HVAC plants

In this paper we present a methodology to optimize the operating conditions of heating, ventilation and air conditioning (HVAC) plants to achieve a higher energy efficiency in use. Semi-empiric numerical models of the plant components are used to predict their performances as a function of their set-point and the environmental and occupied space conditions. The optimization is performed through a graph-based algorithm that finds the set-points of the system components that minimize energy consumption and/or energy costs, while matching the user energy demands. The resulting model can be used with systems of almost any complexity, featuring both HVAC components and energy systems, and is sufficiently fast to make it applicable to real-time setting.
Authors:
;  [1] ;  [2] ;  [3] ;  [4]
  1. Department of Engineering, University of Napoli “Parthenope” (Italy)
  2. Green Energy Plus srl (Italy)
  3. SIAT Installazioni spa (Italy)
  4. School of Engineering (DEIM) University of Tuscia (Italy)
Publication Date:
OSTI Identifier:
22391123
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1648; Journal Issue: 1; Conference: ICNAAM-2014: International Conference on Numerical Analysis and Applied Mathematics 2014, Rhodes (Greece), 22-28 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; AIR CONDITIONING; ALGORITHMS; CONTROL; DIAGRAMS; ENERGY ACCOUNTING; ENERGY CONSUMPTION; ENERGY EFFICIENCY; ENERGY SYSTEMS; GRAPH THEORY; HEATING; MATHEMATICAL MODELS; OPTIMIZATION; PERFORMANCE; VENTILATION