October, 2012; Updated in August, 2022
While all due care and attention has been taken to establish the accuracy of the material presented, CSIRO and the author disclaim liability for any loss which may arise from any person acting in reliance upon the contents of this document.
2. HISTORY OF ACCURATE AND THE CHENATH ENGINE..
3.2 Multi-Zone Thermal Modelling.
3.3 Multi-Zone Airflow Modelling.
4. INPUT, BEHAVIOURAL SETTINGS AND ASSUMPTIONS..
4.1 Thermal Properties of Building Materials.
6. AREA ADJUSTMENT AND STAR RATINGS..
List of Figures
List of Tables
Table 2 - Internal sensible and latent heat loads - for living spaces, including kitchens [12]
Table 4 - Internal sensible and latent heat loads - for bedrooms [12]
AccuRate is a software tool used for the calculation of annual space heating/cooling requirements of residential buildings. It is currently used for compliance with the building code to regulate energy efficiency of new houses. AccuRate provides a useful tool for optimising energy efficient house designs for Australian local climates.
AccuRate includes a graphical user interfaces (GUI) written in Delphi and a simulation engine written in Fortran for thermal heat flows in the house. The simulation engine, known as the Chenath engine, and its previous generations has been developed over six decades by CSIRO. The methodologies, algorithms and rules implemented in AccuRate and the Chenath engine may have been published in various journal or conference papers, in reports or technical notes over the years. However, a single repository is required to list the algorithms and methodologies used. Commissioned by the former Department of Climate Change and Energy Efficiency, this document forms a single repository for AccuRate and the Chenath engine. This document will be updated regularly whenever adequate new information is available to CSIRO.
The Australian Government continuously supports residential energy efficiency and low carbon emission strategies and schemes, demonstrated by its substantial investment in various energy efficiency initiatives, in particular, the Nat ionwide House Energy Rating Scheme (NatHERS) (https://www.nathers.gov.au/ ). During the last three decades, NatHERS accredited software tools such as NatHERS, AccuRate, FirstRate and BERS house energy rating tools have been successfully adopted and played important roles in energy efficient house designs in Australia. These tools contribute to gain in-depth understanding of house energy use in Australian climates and influence green building practices.
Served as the benchmark tool for the NatHERS scheme, AccuRate includes a graphical user interfaces (GUI) written in Delphi and a simulation engine written in Fortran for thermal heat flows in the house. The simulation engine, known as the Chenath engine, and its previous generations has been developed over six decades by CSIRO. The methodologies, algorithms and rules implemented in AccuRate and the Chenath engine may have been published in journal or conference papers, in reports or technical notes over the years. However, a single repository is required to list the algorithms and methodologies used.
Commissioned by DCCEE, CSIRO initiated a repository for the collection and documentation of the methodologies, algorithms and rules implemented in AccuRate and the Chenath engine. This document forms a single repository for AccuRate and the Chenath engine. The document will be updated regulatory whenever adequate new information is available to CSIRO.
AccuRate's Chenath engine and its predecessors CARE, STEP and ZSTEP have been evolved and enhanced over the last six decades. CSIRO's research and development in building energy modelling went back to 1950's. Dr R.W.R. Muncey and his co-works were among the pioneers of computational building thermal modelling [1-4]. In 1950's, Muncey at CSIRO Division of Building Research developed a single zone harmonic analysis/synthesis program CARE. In early 1960's, Muncey developed the STEP program for modelling one zone building using the matrix method which established the core methodology of today's AccuRate Chenath engine [5,6]. The STEP program was subsequently refined by J.W. Spencer. In 1977, STEP was extended by P.J. Walsh to handle multi-zoned buildings and was named as ZSTEP [5,6].
From 1984 to 1986, A.E. Delsante and his colleagues developed the house thermal modelling software CHEETAH (Cooling and HEating Energy Tool for ArcHitects) using ZSTEP as the modelling engine and a TurboPascal (DOS) User Interface [7]. In 1990, the 1st generation nationwide house energy rating tool NatHERS was released with the Chenath engine (improved ZSTEP) and an ObjectVision User Interface. In 2003, NatHERS was further upgraded to the 2nd generation NatHERS tool - AccuRate with an enhanced Chenath engine particularly the inclusion of air flow modelling to account for natural ventilation and a Delphi User interface [8].
From 2008, D. Chen led the further development of AccuRate and the Chenath engine. AccuRate has been upgraded to AccuRate Sustainability which includes energy and CO2 emission calculations for lighting, hot-water system and the water usage modules. In 2022, AccuRate Homes was developed to include whole of house assessment modules for the compliance with the building code.
The Chenath engine is one of the first building simulation tools which couple a frequency response multi-zone thermal model and a multi-zone air flow model for energy requirement calculation for residential buildings. Taking into account the local climate and building fabrics, the Chenath engine automatically switches the building operation between mechanical air conditioning and natural ventilation operation whenever natural ventilation satisfies occupant thermal comfort. The Chenath engine can calculate hourly heating and cooling energy requirement over a period of one year or multiple years.
The matrix method of the Chenath engine was based on the pioneer work by Muncey published in 1953.
Muncey, R.W.R., The calculation of temperatures inside buildings having variable external conditions, Australian Journal of Applied Science, 4(2), 1953, 189-196.
The Chenath engine uses response factor method for the thermal modelling in multi-zone buildings. Detailed descriptions of the multi-zone response factor calculation and the treatment of internal walls, radiative heat transfer, the calculation of heating and cooling requirements can be found in Walsh and Delsante [9].
Walsh PJ and Delsante AE. Calculation of the thermal behaviour of multi-zone buildings, Energy and Buildings 1983; 5: 231-242.
The existing Chenath engine v3.22 in AccuRate uses the MIX 2.0 (Multi-zone Infiltration and eXfiltration) air flow model developed by Li et al. [10]. This model was found to diverge when model some building designs with permanent openings. An improved air flow model was later developed and implemented in the Chenath engine after Chenath engine v3.13 [11].
Li Y, Delsante A, Symons J. Prediction of natural ventilation in buildings with large openings. Building and Environment 2000; 35: 191-206.
Ren Z.G. and Chen Z.D., Enhanced air flow modelling for AccuRate - A nationwide house energy rating tool in Australia, Building and Environment 2010; 45: 1276-1286.
A list of the materials and their properties can be found in the document " Material Properties Used in NatHERS Software Tools ".
AccuRate and the Chenath engine uses Reference Meteorological Year (RMY) weather files. RMY weather data are specially selected so that it represents the range of weather phenomena for the location and gives annual averages that are consistent with the long-term averages for the location in question. RMY weather files currently used in AccuRate for the compliance with National Construction Code (NCC) 2022 were derived from the Australian Bureau of Meteorology weather data for the period from 1990 to 2015 [12]. RMY weather files for 69 locations in Australia are available in the existing AccuRate software as listed in Table 1.
Nationwide House Energy Rating Scheme (NatHERS) - Software Accreditation Protocol .
Table 1. ACDB climate zones
ACDB Climate Zones |
Location |
Longitude |
Latitude |
Postcode |
State |
1 |
Darwin |
130.9 |
-12.4 |
800 |
NT |
2 |
Pt Hedland |
118.6 |
-20.4 |
6721 |
WA |
3 |
Longreach |
144.3 |
-23.4 |
4730 |
QLD |
4 |
Carnarvon |
113.7 |
-24.9 |
6701 |
WA |
5 |
Townsville |
146.8 |
-19.3 |
4810 |
QLD |
6 |
Alice Springs |
133.9 |
-23.8 |
870 |
NT |
7 |
Rockhampton |
150.5 |
-23.4 |
4700 |
QLD |
8 |
Moree |
149.9 |
-29.5 |
2400 |
NSW |
9 |
Amberley |
152.7 |
-27.6 |
4306 |
QLD |
10 |
Brisbane |
153.1 |
-27.4 |
4000 |
QLD |
11 |
Coffs Harbour |
153.1 |
-30.3 |
2450 |
NSW |
12 |
Geraldton |
114.7 |
-28.8 |
6530 |
WA |
13 |
Perth |
115.9 |
-31.9 |
6000 |
WA |
14 |
Armidale (old Tamworth) |
151.7 |
-30.5 |
2350 |
NSW |
15 |
Williamtown |
151.8 |
-32.8 |
2300 |
NSW |
16 |
Adelaide |
138.6 |
-34.9 |
5000 |
SA |
17 |
Sydney RO (Observatory Hill) |
151.2 |
-33.9 |
2000 |
NSW |
18 |
Nowra |
150.5 |
-35 |
2541 |
NSW |
19 |
Charleville |
146.3 |
-26.4 |
4470 |
QLD |
20 |
Wagga |
147.5 |
-35.2 |
2650 |
NSW |
21 |
Melbourne RO |
145 |
-37.8 |
3000 |
VIC |
22 |
East Sale |
147.1 |
-38.1 |
3852 |
VIC |
23 |
Launceston (Ti Tree Bend) |
147.1 |
-41.4 |
7250 |
TAS |
24 |
Canberra |
149.2 |
-35.3 |
2600 |
ACT |
25 |
Cabramurra (old Alpine) |
148.4 |
-35.9 |
2629 |
NSW |
26 |
Hobart |
147.5 |
-42.8 |
7000 |
TAS |
27 |
Mildura |
142.1 |
-34.2 |
3500 |
VIC |
28 |
Richmond |
150.8 |
-33.6 |
2753 |
NSW |
29 |
Weipa |
141.9 |
-12.7 |
4874 |
QLD |
30 |
Wyndham |
128.1 |
-15.5 |
6740 |
WA |
31 |
Willis Island |
150 |
-16.3 |
4871 |
QLD |
32 |
Cairns |
145.8 |
-16.9 |
4870 |
QLD |
33 |
Broome |
122.2 |
-18 |
6725 |
WA |
34 |
Learmonth |
114.1 |
-22.2 |
6707 |
WA |
35 |
Mackay |
149.2 |
-21.1 |
4740 |
QLD |
36 |
Gladstone |
151.3 |
-23.9 |
4680 |
QLD |
37 |
Halls Creek |
127.7 |
-18.2 |
6770 |
WA |
38 |
Tennant Creek |
134.1 |
-19.6 |
860 |
NT |
39 |
Mt Isa |
149.2 |
-21.1 |
4825 |
QLD |
40 |
Newman |
119.7 |
-23.4 |
6753 |
WA |
41 |
Giles |
128.3 |
-25 |
6438 |
WA |
42 |
Meekatharra |
118.5 |
-26.6 |
6642 |
WA |
43 |
Oodnadatta |
135.5 |
-27.6 |
5734 |
SA |
44 |
Kalgoorlie |
121.5 |
-30.8 |
6430 |
WA |
45 |
Woomera |
136.8 |
-31.2 |
5720 |
SA |
46 |
Cobar |
145.8 |
-31.5 |
2835 |
NSW |
47 |
Bickley |
116.1 |
-32 |
6076 |
WA |
48 |
Dubbo |
148.6 |
-32.2 |
2830 |
NSW |
49 |
Katanning |
117.6 |
-33.7 |
6317 |
WA |
50 |
Oakey |
151.7 |
-27.4 |
4401 |
QLD |
51 |
Forrest |
128.1 |
-30.8 |
6434 |
WA |
52 |
Swanbourne |
115.8 |
-32 |
6010 |
WA |
53 |
Ceduna |
133.7 |
-32.1 |
5690 |
SA |
54 |
Mandurah |
115.7 |
-32.5 |
6210 |
WA |
55 |
Esperance |
121.9 |
-33.8 |
6450 |
WA |
56 |
Mascot (Sydney Airport) |
151.2 |
-33.9 |
2020 |
NSW |
57 |
Manjimup |
116.1 |
-34.2 |
6258 |
WA |
58 |
Albany |
117.8 |
-35 |
6330 |
WA |
59 |
Mt Lofty |
138.7 |
-35 |
5240 |
SA |
60 |
Tullamarine (Melbourne Airport) |
144.9 |
-37.7 |
3020 |
VIC |
61 |
Mt Gambier |
140.8 |
-37.8 |
5290 |
SA |
62 |
Moorabbin |
145.1 |
-38 |
3189 |
VIC |
63 |
Warrnambool |
142.4 |
-38.3 |
3280 |
VIC |
64 |
Cape Otway |
143.5 |
-38.9 |
3220 |
VIC |
65 |
Orange |
149.1 |
-33.4 |
2800 |
NSW |
66 |
Ballarat |
143.8 |
-37.5 |
3350 |
VIC |
67 |
Low Head |
146.8 |
-41.1 |
7253 |
TAS |
68 |
Launceston Airport |
147.2 |
-41.5 |
7120 |
TAS |
69 |
Thredbo (Village) |
148.3 |
-36.5 |
2625 |
NSW |
In AccuRate, the infiltration rate, in air changes per hour for each zone, is specified as A + B*v, where v is the hourly wind speed (m/s) from the AccuRate weather files multiplied by a terrain factor. For details of the infiltration calculation, please refer to the following document [13]:
Download:
Chen D., Infiltration Calculations in AccuRate, 2022
The heat loads in Tables 2 to 4 are for a 160 m2 dwelling with two adults and two children, with a floor area split of 80 m 2 for all the living areas and 80 m2 for all the bedroom areas. The load is for the one hour period up to the time stated, i.e. a time of 1:00 am indicates the period between midnight and 1:00 am.
Table 2 - Internal sensible and latent heat loads - for living spaces, including kitchens [12]
Time |
Sensible heat load (Watts) |
Latent heat load (Watts) |
|||
Appliances and cooking |
Lighting |
People |
Total |
||
1:00 am |
100 |
0 |
0 |
100 |
0 |
2:00 am |
100 |
0 |
0 |
100 |
0 |
3:00 am |
100 |
0 |
0 |
100 |
0 |
4:00 am |
100 |
0 |
0 |
100 |
0 |
5:00 am |
100 |
0 |
0 |
100 |
0 |
6:00 am |
100 |
0 |
0 |
100 |
0 |
7:00 am |
100 |
0 |
0 |
100 |
0 |
8:00 am |
400 |
180 |
280 |
860 |
400 |
9:00 am |
100 |
180 |
280 |
560 |
200 |
10:00 am |
100 |
0 |
140 |
240 |
100 |
11:00 am |
100 |
0 |
140 |
240 |
100 |
Noon |
100 |
0 |
140 |
240 |
100 |
1:00 pm |
100 |
0 |
140 |
240 |
100 |
2:00 pm |
100 |
0 |
140 |
240 |
100 |
3:00 pm |
100 |
0 |
140 |
240 |
100 |
4:00 pm |
100 |
0 |
140 |
240 |
100 |
5:00 pm |
100 |
0 |
140 |
240 |
100 |
6:00 pm |
100 |
300 |
210 |
610 |
150 |
7:00 pm |
1100 |
300 |
210 |
1610 |
750 |
8:00 pm |
250 |
300 |
210 |
760 |
150 |
9:00 pm |
250 |
300 |
210 |
760 |
150 |
10:00 pm |
250 |
300 |
210 |
760 |
150 |
11:00 pm |
100 |
0 |
0 |
100 |
0 |
Midnight |
100 |
0 |
0 |
100 |
0 |
Table 3 - Internal sensible and latent heat loads - for living spaces that do not include a kitchen [12]
Time |
Sensible heat load (Watts) |
Latent heat load (Watts) |
||
Lighting |
People |
Total |
|
|
1:00 am |
0 |
0 |
0 |
0 |
2:00 am |
0 |
0 |
0 |
0 |
3:00 am |
0 |
0 |
0 |
0 |
4:00 am |
0 |
0 |
0 |
0 |
5:00 am |
0 |
0 |
0 |
0 |
6:00 am |
0 |
0 |
0 |
0 |
7:00 am |
0 |
0 |
0 |
0 |
8:00 am |
180 |
280 |
460 |
140 |
9:00 am |
180 |
280 |
460 |
140 |
10:00 am |
0 |
140 |
140 |
70 |
11:00 am |
0 |
140 |
140 |
70 |
Noon |
0 |
140 |
140 |
70 |
1:00 pm |
0 |
140 |
140 |
70 |
2:00 pm |
0 |
140 |
140 |
70 |
3:00 pm |
0 |
140 |
140 |
70 |
4:00 pm |
0 |
140 |
140 |
70 |
5:00 pm |
0 |
140 |
140 |
70 |
6:00 pm |
300 |
210 |
510 |
105 |
7:00 pm |
300 |
210 |
510 |
105 |
8:00 pm |
300 |
210 |
510 |
105 |
9:00 pm |
300 |
210 |
510 |
105 |
10:00 pm |
300 |
210 |
510 |
105 |
11:00 pm |
0 |
0 |
0 |
0 |
Midnight |
0 |
0 |
0 |
0 |
Table 4 - Internal sensible and latent heat loads - for bedrooms [12]
Time |
Sensible heat load (Watts) |
Latent Heat load (Watts) |
||
Lighting |
People |
Total |
||
1:00 am |
0 |
200 |
200 |
100 |
2:00 am |
0 |
200 |
200 |
100 |
3:00 am |
0 |
200 |
200 |
100 |
4:00 am |
0 |
200 |
200 |
100 |
5:00 am |
0 |
200 |
200 |
100 |
6:00 am |
0 |
200 |
200 |
100 |
7:00 am |
0 |
200 |
200 |
100 |
8:00 am |
0 |
0 |
0 |
0 |
9:00 am |
0 |
0 |
0 |
0 |
10:00 am |
0 |
0 |
0 |
0 |
11:00 am |
0 |
0 |
0 |
0 |
Noon |
0 |
0 |
0 |
0 |
1:00 pm |
0 |
0 |
0 |
0 |
2:00 pm |
0 |
0 |
0 |
0 |
3:00 pm |
0 |
0 |
0 |
0 |
4:00 pm |
0 |
0 |
0 |
0 |
5:00 pm |
0 |
0 |
0 |
0 |
6:00 pm |
0 |
0 |
0 |
0 |
7:00 pm |
0 |
0 |
0 |
0 |
8:00 pm |
100 |
0 |
100 |
0 |
9:00 pm |
100 |
0 |
100 |
0 |
10:00 pm |
100 |
0 |
100 |
0 |
11:00 pm |
100 |
200 |
300 |
100 |
Midnight |
0 |
200 |
200 |
100 |
Cooling Thermostat Settings
The NatHERS Scheme requires that for an energy assessment, all conditioned spaces must be maintained within a certain range of thermal comfort. The cooling thermostat temperature in each Climate Region is indicated in Table 5. These settings represent an assumed thermostat trigger point for the operation of space cooling appliances. Baharun el al. [14] gave a brief description on how these cooling thermostat settings are derived.
The cooling thermostat for each climate zone is set equal to the neutral temperature in January for the corresponding climate zone defined in Eq. (1), up to a limit of 28.5°C, above which both the neutral temperature and the cooling thermostat are taken to be 28.5°C. The low limit of the thermostat is set at 22.5°C. If the neutral temperature in January is below 22.5°C, both the neutral temperature and the cooling thermostat are taken to be 22.5°C.
Tn = 17.8 + 0.31Tm (1)
where Tn is the neutral temperature in January and Tm is the mean January ambient air temperature.
In the NatHERS scheme, the heating thermostat settings are as follows:
Table 5 - Cooling Thermostat Settings
Climate Region |
All conditioned spaces ( ° C) |
|
Climate Region |
All conditioned spaces ( ° C) |
1 |
26.5 |
36 |
26.0 |
|
2 |
27.0 |
37 |
27.0 |
|
3 |
27.0 |
38 |
27.0 |
|
4 |
26.0 |
39 |
27.0 |
|
5 |
26.5 |
40 |
28.0 |
|
6 |
27.0 |
41 |
27.0 |
|
7 |
26.0 |
42 |
27.5 |
|
8 |
26.0 |
43 |
27.5 |
|
9 |
25.5 |
44 |
26.0 |
|
10 |
25.5 |
45 |
26.5 |
|
11 |
25.0 |
46 |
26.5 |
|
12 |
25.5 |
47 |
25.0 |
|
13 |
25.5 |
48 |
26.0 |
|
14 |
24.0 |
49 |
24.5 |
|
15 |
25.0 |
50 |
25.0 |
|
16 |
25.0 |
51 |
25.5 |
|
17 |
25.0 |
52 |
24.5 |
|
18 |
24.5 |
53 |
24.5 |
|
19 |
27.0 |
54 |
25.0 |
|
20 |
25.5 |
55 |
24.0 |
|
21 |
24.0 |
56 |
25.0 |
|
22 |
23.5 |
57 |
24.0 |
|
23 |
23.5 |
58 |
23.5 |
|
24 |
24.5 |
59 |
22.5 |
|
25 |
23.0 |
60 |
24.0 |
|
26 |
23.0 |
61 |
23.5 |
|
27 |
25.5 |
62 |
24.0 |
|
28 |
25.0 |
63 |
23.0 |
|
29 |
26.5 |
64 |
23.0 |
|
30 |
27.0 |
65 |
23.5 |
|
31 |
26.5 |
66 |
23.5 |
|
32 |
26.5 |
67 |
23.0 |
|
33 |
27.0 |
68 |
23.0 |
|
34 |
26.5 |
69 |
22.5 |
|
35 |
26.0 |
In the NatHERS scheme, the schedules of indoor and outdoor adjustable settings are as follows:
Indoor adjustable shading
Outdoor adjustable shading
During the development of the second generation NatHERS tools, the Ministerial Council on Energy agreed that the new NatHERS software tools should remove the naturally occurring bias that results in larger houses being advantaged over smaller houses. It was agreed that an Area Correction Factor similar to that developed by the Sustainable Energy Authority of Victoria (SEAV) for FirstRate, be developed for the second generation NatHERS software tools. A study was carried out by Mr Tony Isaacs for the then Australian Greenhouse Office in suggesting the Area Correction Factor for the use in AccuRate. The area adjustment calculation methodology for NCC 2022 can be found in a note by Dong Chen in 2022 [15]. The background and history of the area correction factors in previous versions of NatHERS software tools, please refer to Dong Chen (2011) [16].
Download:
Chen D., Area Correction Factors in AccuRate for NCC 2022, 2022.
Chen D., Area Correction Factors in AccuRate, note to DCCEE, 2011. (for NatHERS rating before NCC 2022)
The success of AccuRate and the Chenath engine is impossible without the contributions from various institutions, associations, consultants, related departments of state and federal governments, software developers and software distribution companies collaborated with CSIRO over the years.
13. Chen D., Infiltration Calculations in AccuRate V1.1.4.1, note to DCCEE, 2010.
15. Chen D., Area Correction Factors in AccuRate for NCC 2022, 2022.
16. Chen D., Area Correction Factors in AccuRate v1.1.4.1, note to DCCEE, 2011.
© 2022 CSIRO