https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31495 Wed 20 Jan 2021 17:25:20 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37298 Wed 20 Jan 2021 16:51:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55326 Building performance prediction is a significant area of research, due to its potential to enhance the efficiency of building energy management systems. Its importance is particularly evident when such predictions are validated against field data. This paper presents an intelligent computational model combining Monte Carlo analysis, Energy Plus, and an artificial neural network (ANN) to refine energy consumption and thermal comfort predictions. This model addresses various combinations of architectural building design parameters and their distributions, effectively managing the complex non-linear relationships between the response variables and predictors. The model’s strength is demonstrated through its alignment with R2 values exceeding 0.97 for both thermal discomfort hours and energy consumption during the training and testing phases. Validation with field investigation data further confirms its accuracy, demonstrating average relative errors below 2.0% for total energy consumption and below 1.0% for average thermal discomfort hours. In particular, an average underestimation of −12.5% in performance discrepancies is observed when comparing the building energy simulation model with field data, while the intelligent computational model presented a smaller overestimation error (of +8.65%) when validated against the field data. This discrepancy highlights the model’s potential and reliability for the simulation of real-world building performance metrics, marking it as a valuable tool for practitioners and researchers in the field of building sustainability.]]> Wed 15 May 2024 15:40:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35906 Wed 15 Jan 2020 14:17:48 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26407 Wed 11 Apr 2018 09:15:12 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40408 Wed 07 Feb 2024 15:29:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34914 Wed 04 Sep 2019 12:17:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34915 Wed 04 Sep 2019 12:17:14 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33619 AccuRate) using four full scale housing test modules located in Newcastle, Australia (Cavity Brick (CB), Insulated Cavity Brick (InsCB), Insulated Brick Veneer (InsBV) and Insulated Reverse Brick Veneer (InsRBV)) subjected to a range of seasonal conditions in a moderate climate. The time required for heating and/or cooling using the adaptive thermal comfort approach and AccuRate predictions were estimated. Significant savings (of about 50 %) in energy consumption in minimizing the time required for heating and cooling were achieved by using the adaptive thermal comfort model.]]> Wed 04 Sep 2019 12:16:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33620 Wed 04 Sep 2019 12:16:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33621 Wed 04 Sep 2019 12:16:43 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22893 Tue 17 Sep 2019 15:11:04 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37762 Tue 13 Apr 2021 15:13:52 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45904 Tue 08 Nov 2022 09:17:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34875 Tue 03 Sep 2019 18:18:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33618 Tue 03 Sep 2019 18:17:28 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29448 Tue 02 Apr 2019 09:47:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29447 Tue 02 Apr 2019 09:42:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23041 Thu 18 Aug 2016 14:52:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23040 Thu 18 Aug 2016 14:52:55 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23039 Thu 18 Aug 2016 14:45:53 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43264 Thu 08 Feb 2024 10:41:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36973 Thu 08 Feb 2024 10:40:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38562 Thu 04 Nov 2021 11:59:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37529 Thu 04 Feb 2021 15:19:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46824 in vivo lineage tracing to show that endometrial epithelium self-renews during development, growth, and regeneration and identified Axin2, a classical Wnt reporter gene, as a marker of long-lived bipotent epithelial progenitors that reside in endometrial glands. Axin2-expressing cells are responsible for epithelial regeneration in vivo and for endometrial organoid development in vitro. Ablation of Axin2⁺ cells severely impairs endometrial homeostasis and compromises its regeneration. More important, upon oncogenic transformation, these cells can lead to endometrial cancer. These findings provide valuable insights into the cellular basis of endometrial functions and diseases.]]> Thu 01 Dec 2022 10:59:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17708 Sat 24 Mar 2018 07:57:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21868 Sat 24 Mar 2018 07:52:56 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29449 Sat 24 Mar 2018 07:39:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27667 Sat 24 Mar 2018 07:38:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29017 Sat 24 Mar 2018 07:31:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29016 Sat 24 Mar 2018 07:31:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24374 Sat 24 Mar 2018 07:16:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23084 Sat 24 Mar 2018 07:12:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23209 Sat 24 Mar 2018 07:10:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23211 Sat 24 Mar 2018 07:10:27 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23167 Sat 24 Mar 2018 07:10:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38870 Mon 29 Jan 2024 17:54:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44063 −1; at this speed, the car consumes the least amount of energy (around 137 MJ when travelling a distance of 100 km). All the speeds less than the optimum speed will consume more energy; the same is true when the speed is increased over the optimum. For the second application using water pumps, it was found that a 1.1 kW pump is the most efficient at pumping a specific amount of water, and using higher or lower rated pumps will consume higher energy levels but correspondingly will reduce the time required to perform the same application. This research emphasised the concept that time can save energy, which is not yet covered in the literature as time value of energy when time is not an essential aspect and can be delayed without affecting the main tasks.]]> Mon 29 Jan 2024 17:50:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50617 Mon 14 Aug 2023 09:48:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26044 Mon 13 Aug 2018 12:58:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54182 Mon 12 Feb 2024 13:40:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44158 Mon 10 Oct 2022 09:38:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45414 Fri 28 Oct 2022 14:57:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42593 Fri 26 Aug 2022 09:43:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42161 Fri 26 Aug 2022 07:50:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40351 Fri 08 Jul 2022 11:50:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49773 Fri 02 Jun 2023 17:33:49 AEST ]]>