Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3697

Title: Evolutionary synthesis of HVAC system configurations : algorithm development (RP-1049)
Authors: Wright, Jonathan A.
Zhang, Yi
Angelov, Plamen
Hanby, Victor I.
Buswell, Richard A.
Issue Date: 2008
Publisher: © American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
Citation: WRIGHT, J. ... et al, 2008. Evolutionary synthesis of HVAC system configurations : algorithm development (RP-1049). HVAC&R Research, 14 (1), pp. 33-55
Abstract: This paper describes the development of a model-based optimization procedure for the synthesis of novel heating, ventilating, and air-conditioning system configurations. The optimization problem can be considered as having three suboptimization problems: the choice of a component set; the design of the topological connections between the components; and the design of a system operating strategy. In an attempt to limit the computational effort required to obtain a design solution, the approach adopted in this research is to solve all three subproblems simultaneously. The computational effort has been further limited by implementing simplified component models and including the system performance evaluation as part of the optimization problem (there being no need, in this respect, to simulate the system performance). The optimization problem has been solved using a Genetic Algorithm (GA) that has data structures and search operators specifically developed for the solution of HVAC system optimization problems. The performance of the algorithm and various search operators has been examined for a two-zone optimization problem, the objective of the optimization being to find a system design that minimizes system energy use. In particular, the performance of the algorithm in finding feasible system designs has been examined. It was concluded that the search was unreliable when the component set was optimized, but if the component set was fixed as a boundary condition on the search, then the algorithm had an 81% probability of finding a feasible system design. The optimality of the solutions is not examined in this paper but is described in an associated publication (Wright and Zhang 2008). It was concluded that, given a candidate set of system components, the algorithm described here provides an effective tool for exploring the design of novel HVAC systems.
Description: This is a journal article [© American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org)]. Reprinted by permission from HVAC&R Research, Vol. 14, Part 1. Additional reproduction, distribution, or transmission in either print or digital form is not permitted without ASHRAE’s prior written permission. It is also available at: www.ashrae.org/hvacr-research
URI: https://dspace.lboro.ac.uk/2134/3697
ISSN: 1078-9669
Appears in Collections:Published Articles (Civil and Building Engineering)

Files associated with this item:

File Description SizeFormat
29793ASHRAE-D-RJ08Jan02-20080108[1].pdf1.87 MBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.