The 50% target was almost achieved by the end of year 7 (46%), and exceeded in year 8 (52%), shown in Fig. 2. The sequence of implementation was based on the prioritisation criteria described in the ‘Audits and retrofit process and energy reduction target’section and is shown in Table 1 and Fig. 2.
Table 1 List of energy conservation measures taken between years 0 and 8, cost and effect on electricity use
Total energy consumption
Figure 2 shows the impact on power use of the main retrofit elements. For year 0, the overall baseline grid energy consumption for the whole site was 2438 MWh and peak demand was 490 kW (551 kVA with an average power factor of 0.89). Baseline energy was 22 kWh visitor−1 year−1 (energy use per visitor) and 1625 MJ m−2 (451 kWh m−2 year −1) at a cost of $211,725 year−1 (2006 tariffs). The cost of adopting no energy-efficient measures is illustrated by the point ‘Adjusted baseline power use at 2015 price’ in Fig. 2. It shows the actual baseline power use of 2348 MWh year−1 plus 286 MWh year −1 associated with growth of Aquarium assets and animal life support systems. This includes 14 MWh year −1 for extra air conditioning split systems and new exhibit cooling, 211 MWh year −1 for additional pumps and 61 MWh year −1 for chilling the main aquariums by an extra 1.5 °C in the hotter months. Other factors probably added to energy consumption including increased visitation, a new 60-person conference facility, additional lighting and new electronic equipment for new exhibits and any increase in ambient air or sea surface temperatures. It was not possible to obtain precise data for these factors so they are not included in the baseline power adjustment. In 2015, the adjusted energy use would have cost $500,808 year −1 (the unadjusted baseline energy use would cost $471,610 year −1). Overall grid energy consumption was reduced to 1160 MWh by year 8 representing an energy intensity of 773 MJ m −2 or 9 kWh visitor −1 year −1.
Total cost versus total savings and distribution of energy use categories
Table 1 summarises the efficiency actions and capital investment that led to a 52% reduction in grid supplied power use by year 8 (that was maintained at 50% in the following year). The $374,646 saved in electricity and maintenance costs in year 8 represents 10% of the total Aquarium operating expenditure for that year. Between years 0 and 8, $1.7M was spent on energy efficiency measures and $1.25M was saved. These savings are significant given that the majority of the capital investment was expended in years 6, 7 and 8 on the two largest initiatives: HVAC upgrade and solar power station. Complete payback for all measures should be achieved in 2017. The saving calculations include the following: avoided electricity costs; solar power generation; large-scale generation certificates (LGCs) created with the Australian Clean Energy Regulator (using LGC market price of $75/MWh in February 2016 (Green Energy Markets 2016)); decreased labour cost due to reduced maintenance; and the avoided cost of spare parts and replacement pumps.
Figure 3 shows the shift in the distribution of power use between the main categories between years 0 and 8. HVAC and machinery represented a total of 95% of the energy use prior to the refurbishment period. The HVAC upgrade and adjustments significantly reduced its energy use relative to other categories. The dramatic reduction in pumping energy made for existing equipment was somewhat offset by new pumps and enhanced life support systems. The category ‘Other’ increased noticeably due the increase in digital displays, projectors, ozone generators, UV sterilisers and computers (see the ‘Discussion’ section).
Audits and minimal cost operational changes
The internal audit highlighted some energy inefficiencies that were addressed immediately (shown in Table 2), leading to a 13% reduction in energy use for a cost of $6500 in year 1. Of the seven external audits, two were funded from the Aquarium’s operational funding, two from other GBRMPA sections part of wider audits and three associated with the Demand Management Pilot Programme (so only the exact cost the reports funded by the Aquarium could be reported in Table 1). Three of the reports focused on workshops with Aquarium staff to synthesise and document existing in-house information. Four audits provided highly specialised advice on technology, budget planning, modelling and key long-term strategies and M&V with enough detail and quality to be used in future asset life cycle planning. The most expensive reports did not lead to the most significant benefits.
Table 2 Issues identified by the internal audit in year 1 and subsequent operational measures taken
HVAC upgrade and control
Indoor temperature adjustment
In year 1, the indoor temperature was raised by 1.5 °C and the energy savings are included in the 13% reduction shown in Table 1. General satisfaction surveys of the Aquarium collected in years 0 and 1 reflected no change in the number of comments on visitors’ thermal comfort and there was a steady rise in visitation from 109,000 in year 0 to 140,000 in year 9.
The year 9 thermal comfort survey supports the anecdotal evidence that there was no significant difference in thermal comfort of occupants as a result of the indoor temperature change. During this survey period, indoor air temperature remained relatively stable for survey areas at the two set-points: between 23.0 and 23.6 °C for the 23 °C set-point, and between 24.5 and 25.1 °C for the 24.5 °C set-point. Indoor relative humidity varied between 55 and 65% (outdoor relative humidity 77–92%), due to large volume of evaporation from open-topped aquariums. Fixed airflows were confirmed at 0.12 to 0.26 m s−1 at 3 m from the ducted air vents. For the 552 surveys collected, 88% stated clothing as light and more than 80% rated thermal comfort as comfortable under both set-point conditions, consistent with ASHRAE 55 Standard Predicted Mean Vote and Predicted Persons Dissatisfied (PMV-PPD) for five parameters (clothing level, activity, humidity, temperature, airspeed) at each set-point using the ASHRAE Standard 55-2010 Thermal Comfort Tool (Huizanga 2010).
For all statistical tests applied to the data in Figs. 4 and 5, the significance threshold was set at 0.05. Figure 4 shows the mean comfort score declined from 4.91 (SD = 1.13, n = 286) to 4.74 (SD = 1.19, n = 266) as temperature increased. An independent samples t test of these data showed no significant difference in the comfort data for the two set-points (t(550) = 1.74, p = 0.082). Since the data was not normally distributed nor could be transformed to achieve normality, a non-parametric Mann-Whitney U test was undertaken. This test confirmed that the comfort rating at 23 °C (median = 5) was not significantly different to that at 24.5 ºC (median = 5), U = 34,864, p = 0.076, r = 0.08.
Figure 5 shows data for the 233 respondents who were in Reef HQ for the purpose of work. It was found that the mean productivity score increased marginally from 3.127 (SD = 0.686, n = 118) to 3139 (SD = 0.634, n = 115) which was confirmed to be statistically insignificant by a t test of the normally distributed dataset (t(231) = 0.139, p = 0.89). A Mann-Whitney test confirmed that the productivity rating at 23 °C (median = 3) was not significantly different to that at 24.5 °C (median = 3), U = 6717, p = 0.86, r = 0.04. A factorial ANOVA undertaken on the comfort responses with the two factors being temperature (either 23 or 24.5 °C) and respondent type (Reef HQ, Volunteer, GBRMPA and visitor) showed the main effect of temperature yielded an F ratio of F(1544) = 0.86, p = 0.35 confirming that the effect of temperature was not significant. The main effect for respondent type yielded an F ratio of F(3544) = 4.51, p = 0.0039 showing that responses between respondent types were significantly different. The interaction effect was non-significant, with an F ratio of F(3544) = 0.45, p = 0.716. A Tukey HSD test showed that the GBRMPA staff and the visitors, who reside in the Aquarium for a relatively short period of time, showed the greater change in comfort perception to Reef HQ and volunteers who generally reside in the Aquarium all day. No clear conclusions could be drawn from this result.
Major upgrade of the HVAC system including TES and BMS
The TES tank provides up to 4 h of thermal storage and it minimised chiller starts from ca. 20 per 24 h day all year, to 3–6 per 24 h day (depending on the season). The system also has significantly greater efficiency, with an average 4.8 COP for the new chillers and variable speed drives on the pumps that allow for the most efficient use of pumping power. The system is able to run on only one of the three chillers for approximately 7 months of the year. The BMS control of the TES tank allows the load to be spread more efficiently by prioritising cooling to the building and then redirecting any spare cooling capacity into the TES tank and to aquarium tanks. It shifts and delays chilling loads which compensate for unpredictable energy generation. User-defined trigger points for the process allowed trial and error determination of the correct set-points that allow for fast changes in PV generation (e.g. on a partly cloudy day) and slower valve response times. The method of chilling of the large 4-ML aquariums (timing and degree of chilling) has a significant effect on the peak demand. Tests showed that without intervention of the BMS algorithms, chilling of the Reef Tank alone leads to a 100-kW higher peak demand, under minimal PV generation conditions.
When the energy supplier’s mandatory grid protection trigger point is reached (8 kW), the grid protection device shuts down the solar power system in sections to prevent any export of power to the grid. PV inverter data showed these events occurred frequently (numerous times a week or up to three times a day) and the power wasted is estimated ca.25,000 kWh/year or approximately 7.6% of the total yearly yield. In the absence of the algorithm to directly prevent discharge of the TES (as previously described), the algorithm to prioritise Reef Tank cooling during peak PV generation periods (the ‘HVAC, TES and BMS’section) was observed (in the hotter period between October and April 2016). The algorithm was regularly activated (2 to 6 times per week) and showed that the occurrence and duration of the TES discharge could be minimised with only occasional discharges during PV generation hours leading to grid protection device activation. The PV wastage and wastage avoided could not be precisely quantified, but it was observed that the algorithm was activated 4–6 times per week during the months that Reef Tank cooling was required, indicating that the algorithm was regularly storing cooling energy that would otherwise be wasted.
The Reef Tank cooling algorithm is only used in the summer months when the tank temperature rises beyond the 27 °C set-point. Consequently, analysis of the data for August 2016 (cold month with no tank chilling) with no BMS intervention indicated ca. 2700 kWh power wasted with 25 occurrences for the month. The algorithm to delay discharge of the TES was introduced and analysis of 7 days in September 2016 showed that the algorithm was able to maintain the load above the threshold that would trigger the grid protection device. The algorithm to prevent discharge of the TES was triggered every day that week, and no activation of the grid protection device was recorded. Whilst more data is required to quantify the full impact of this measure through the seasons, we can conclude that it is possible to directly prevent the TES from discharging at its usual temperature set-points to avoid activation of the grid protection device, which avoids wastage of surplus PV generation and optimises HVAC use. No data is yet available for the combination of the Reef Tank cooling algorithm and the delay of TES discharge algorithm. This combination may avoid all PV generation wastage.
A budget estimate for supply and installation 91-kWh bi-directional UPS (ininterruptable power supply) battery system using lithium batteries, all components included is ca. $200,000. This could accommodate 25,000 kWh per year of energy storage.
For the glazing, only manufacturer’s data was available that states the double glazing u value is 2.7 W m−2 compared to 5.8 W m −2 for the single-glazed panels (no direct impact data available).
Lighting and machinery energy efficiency improvements
Total lighting power use was reduced by 40% from the baseline power use (Table 1), representing 34 MWh year −1. In total, power use for machinery (all pumps except HVAC pumps) was reduced by 37% from the baseline, and a total of 475 MWh year −1. Table 3 shows comparative life cycle costs of the existing relatively cheap pump model used for the small aquarium tanks substituted with a very high quality and efficiency model (overall 3.5% reduction in electricity consumption). Further, a total of six 37-kW pumps were modified or replaced, and associated piping systems designed to optimise efficiency. In one example, a 37-kW pump motor (on a variable speed drive, but running very inefficiently) was replaced with a 4-kW motor for the same flow resulting in overall power savings of 3.5% from the baseline at a cost of $1500 ($9840 saved on the electricity bill in the first year, payback time of 2 months). Prior to 2010, 15 metal submersible pumps (240 V) used for water circulation in the 3.2-ML Coral Reef Exhibit were inefficient and had maintenance issues and safety concerns. A replacement low-voltage, carbon-fibre plastic composite pump model saved 34 MWh year −1 (1.5% of baseline power) and $10,000 per year in spare parts, labour and anodes to avoid pump corrosion. The overall energy savings for ‘special machinery’ were minimal and highly seasonal.
Table 3 Comparative life cycle cost of small aquarium pumps. Figures have been validated with the actual costs for 7 years
Integrated rooftop solar PV system
The solar feasibility study projected a 4.6 kWh per day per kilowatt peak, slightly lower than the 4.34 kWh per day per kilowatt peak measured for 2015. This is probably due to a larger solar PV system than originally planned being installed (206 kW and not 145 kW), resulting in the suboptimal location of some panels (resulting in occasional shading) and the effect of the grid protection device. The overall system performance exceeded expectations and performed equal to commissioning 3 years later and no maintenance costs in the first 4 years. The predicted system cost was $5.50 per kilowatt peak installed. The installation of additional high-durability canopies to hold extra solar panels, changes electricity tariffs (see the ‘Electricity cost and tariffs’ section), and new government imposed no export and grid protection requirement resulted in an actual cost of $5.83 per kilowatt peak installed. This combined with changes in the electricity tariff structure resulted in an increased modelled predicted payback time from 6 to 14 years. However, the large-scale renewable energy certificates (LGCs) have doubled in price from $35 per megawatt hour in 2010 to $75 per megawatt hour in 2015, which increases revenue and payback will decrease if all power generation wastage is eliminated. Regardless, the predicted financial savings for a 25-year life of the solar PV system are still highly significant at $1.8M over the life of the system (Fig. 6).
Electricity cost and tariffs
The combined energy savings measured gradually lowered the peak power demand from the electricity grid by 46% between years 0 and 8, and the Aquarium moved to a lower cost electricity tariff in year 7. A huge increase of the grid connection fee, from 0.005% of the energy bill in year 0 to 26.5% in year 9, offsets this benefit, increasing the expected payback period for the solar power system and (to a lesser extent) the HVAC system. The Aquarium paid more in electricity for half the power use in year 8 than in year 0 and the power cost would be doubled what it is today without the retrofit actions, well beyond affordability within current funding arrangements (Fig. 2).
Life cycle savings and C02-e avoided
Figure 6 shows the cost of the main energy consuming elements against the carbon dioxide equivalent (CO2-e) abatement for the life of the equipment. All groups except ‘special machinery’ are predicted to have significant financial benefits and CO2-e abatement over the life of the equipment, and the total CO2-e abatement for all measures is 1390 tonnes of CO2-e (excluding ‘operational’ group whose data is also included in the HVAC-related group) if the ‘scope 2’ emission factors are is used. If ‘scope 2’ and ‘scope 3’ emission factors are used, then the CO2-e abatement increases to 1614 tonnes of CO2-e (see the ‘Energy use and costs data analysis’ section). The baseline was adjusted by 286 MWh to reflect additional pumping requirement for new or enhanced aquarium life support (see the ‘Total energy consumption’ section).
Non-financial and other benefits
The Aquarium exceeded the 230-kW peak demand saving target that was part of the Ergon Demand Management Pilot Project (with 259 kW saved). In return, the Aquarium received a one off payment of $67,160 ($259.30/kW) by Ergon Energy in 2013 and was granted sustainability awards, positioning the Aquarium as an example for environmentally sustainable business practices (Queensland Tourism Awards 2012) (Ecotourism Australia 2012). The energy minimisation project helped to communicate conservation messages through education programmes and validated benefits and business cases for further initiatives.