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Application of univariate search methods to the determination of HVAC plant capacity

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Application of univariate search methods to the determination of HVAC plant capacity. / Hanby, V. I.; Angelov, P. P.
In: Building Services Engineering Research and Technology, Vol. 21, No. 3, 01.08.2000, p. 161-166.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Hanby, VI & Angelov, PP 2000, 'Application of univariate search methods to the determination of HVAC plant capacity', Building Services Engineering Research and Technology, vol. 21, no. 3, pp. 161-166. https://doi.org/10.1177/014362440002100303

APA

Vancouver

Hanby VI, Angelov PP. Application of univariate search methods to the determination of HVAC plant capacity. Building Services Engineering Research and Technology. 2000 Aug 1;21(3):161-166. doi: 10.1177/014362440002100303

Author

Hanby, V. I. ; Angelov, P. P. / Application of univariate search methods to the determination of HVAC plant capacity. In: Building Services Engineering Research and Technology. 2000 ; Vol. 21, No. 3. pp. 161-166.

Bibtex

@article{c5c306b61ab0402482ca4a78675a6b31,
title = "Application of univariate search methods to the determination of HVAC plant capacity",
abstract = "For nearly a century, the sizing of building heating and cooling systems has been carried out by calculation procedures based on matching the output of the plant to a peak load design figure. The design conditions are normally based on historical records of weather data and give a probabilistic `worst case' scenario. These calculations, although often regarded as a routine stage in the design process, are critical in the sense that they affect the overall efficiency and energy consumption of the plant, the installed cost and the space occupied within the building. It is argued in this paper that advances in the simulation of the dynamic thermal performance of buildings and HVAC plant afford an opportunity to change the basis of HVAC plant sizing procedures from the load calculation to an assessment of the ability of the plant to meet an installed performance specification. Two potential performance specifications are identified in this paper and an example zone/HVAC plant model is used to illustrate how performance-based sizing might work. Simulations have been run for conditions in the UK and in Hong Kong. Plant sizes determined by simulation have so far been smaller than those given by the conventional sizing calculation procedures.",
author = "Hanby, {V. I.} and Angelov, {P. P.}",
year = "2000",
month = aug,
day = "1",
doi = "10.1177/014362440002100303",
language = "English",
volume = "21",
pages = "161--166",
journal = "Building Services Engineering Research and Technology",
issn = "0143-6244",
publisher = "SAGE Publications Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Application of univariate search methods to the determination of HVAC plant capacity

AU - Hanby, V. I.

AU - Angelov, P. P.

PY - 2000/8/1

Y1 - 2000/8/1

N2 - For nearly a century, the sizing of building heating and cooling systems has been carried out by calculation procedures based on matching the output of the plant to a peak load design figure. The design conditions are normally based on historical records of weather data and give a probabilistic `worst case' scenario. These calculations, although often regarded as a routine stage in the design process, are critical in the sense that they affect the overall efficiency and energy consumption of the plant, the installed cost and the space occupied within the building. It is argued in this paper that advances in the simulation of the dynamic thermal performance of buildings and HVAC plant afford an opportunity to change the basis of HVAC plant sizing procedures from the load calculation to an assessment of the ability of the plant to meet an installed performance specification. Two potential performance specifications are identified in this paper and an example zone/HVAC plant model is used to illustrate how performance-based sizing might work. Simulations have been run for conditions in the UK and in Hong Kong. Plant sizes determined by simulation have so far been smaller than those given by the conventional sizing calculation procedures.

AB - For nearly a century, the sizing of building heating and cooling systems has been carried out by calculation procedures based on matching the output of the plant to a peak load design figure. The design conditions are normally based on historical records of weather data and give a probabilistic `worst case' scenario. These calculations, although often regarded as a routine stage in the design process, are critical in the sense that they affect the overall efficiency and energy consumption of the plant, the installed cost and the space occupied within the building. It is argued in this paper that advances in the simulation of the dynamic thermal performance of buildings and HVAC plant afford an opportunity to change the basis of HVAC plant sizing procedures from the load calculation to an assessment of the ability of the plant to meet an installed performance specification. Two potential performance specifications are identified in this paper and an example zone/HVAC plant model is used to illustrate how performance-based sizing might work. Simulations have been run for conditions in the UK and in Hong Kong. Plant sizes determined by simulation have so far been smaller than those given by the conventional sizing calculation procedures.

U2 - 10.1177/014362440002100303

DO - 10.1177/014362440002100303

M3 - Journal article

AN - SCOPUS:0034480253

VL - 21

SP - 161

EP - 166

JO - Building Services Engineering Research and Technology

JF - Building Services Engineering Research and Technology

SN - 0143-6244

IS - 3

ER -