Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings

Frankel, Matthew; Xing, Lu; Chewning, Connor; Sela, Lina

doi:10.1016/j.apenergy.2020.116074

Cited by 7 publications

(6 citation statements)

References 58 publications

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“…It can be seen from Figure 3 that when the heat transfer performance coefficient of the outer wall is between 0.198 and 0.06 W/(m 2 •K), the energy-saving effect decreases with the decrease of the heat transfer coefficient [23,24].…”

Section: Reconstruction Of Exterior Wall Based On Heat Transfer Perfo...mentioning

confidence: 99%

[Retracted] Reconstruction Design of Existing Residential Buildings Based on 3D Simulation Method

Wang

Mengjia

2022

Discrete Dynamics in Nature and Society

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The existing building reconstruction methods exist after three-dimensional building modeling information is not complete, and the wall insulation performance improvement effect is not obvious. Therefore, a reconstruction method of existing residential buildings based on 3D simulation is proposed. This paper analyzes the present situation of energy consumption of existing residential buildings, analyzes the fuzziness characteristic in the process of testing the thermal performance of existing residential buildings by the method of spatially distributed fusion and feature extraction, uses the fuzzy equilibrium scheduling method to decompose the fuzziness characteristic scale of the thermal performance of the thermal insulation of existing residential buildings, and optimizes the design of the thermal performance of the thermal insulation transformation of existing residential buildings. The 3D simulation software is a 3D modeling tool named 3DS Max. The real-time simulation software Unity3D engine is used to reconstruct the building scene and complete the reconstruction of existing residential buildings. The experimental results show that the information integrity of the building model reconstructed by 3D simulation technique is nearly 100%, and the insulation performance of the building wall is better.

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Section: Reconstruction Of Exterior Wall Based On Heat Transfer Perfo...mentioning

confidence: 99%

[Retracted] Reconstruction Design of Existing Residential Buildings Based on 3D Simulation Method

Wang

Mengjia

2022

Discrete Dynamics in Nature and Society

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“…All buildings showed an initial, sharp drop in water demand corresponding to the March campus closure, when the governor declared a disaster in Austin . Notably, the water demand patterns during COVID-19 departed from typical weekly demand trends on UT Austin’s campus . After policies were enacted (Policy A), the dorm, assembly, and classroom buildings showed a sharp drop in weekly demand.…”

Section: Resultsmentioning

confidence: 99%

“…31 Notably, the water demand patterns during COVID-19 departed from typical weekly demand trends on UT Austin’s campus. 22 After policies were enacted (Policy A), the dorm, assembly, and classroom buildings showed a sharp drop in weekly demand. From spring break to the fall semester (Policy B), demand remained low, but when UT reopened (Policy C), demand increased to an intermediate magnitude level.…”

Section: Resultsmentioning

confidence: 99%

“…Some studies have recognized this connection, as they focused on coupled water and electricity demand patterns. 22 Such studies have given rise to recommendations for the creation of more resilient systems. 23 In uncertain operating contexts, it is important that division leaders adopt these multiutility management techniques to ensure that water and electricity resources are being managed effectively at the building level.…”

Section: Introductionmentioning

confidence: 99%

“…Further, system managers often have to coordinate during times of stress (e.g., outages, disasters). Some studies have recognized this connection, as they focused on coupled water and electricity demand patterns . Such studies have given rise to recommendations for the creation of more resilient systems .…”

Section: Introductionmentioning

confidence: 99%

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Human–Infrastructure Interactions during the COVID-19 Pandemic: Understanding Water and Electricity Demand Profiles at the Building Level

et al. 2021

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When engineers design and manage a building’s water and electricity utilities, they must make assumptions about resource use. These assumptions are often challenged when unexpected changes in demand occur, such as the spatial and temporal changes observed during the coronavirus (COVID-19) pandemic. Social distancing policies (SDPs) enacted led many universities to close their campuses and implement remote learning, impacting utility consumption patterns. Yet, little is known about how consumption changed at the building level. Here, we aim to understand how water and electricity consumption changed during the pandemic by identifying characteristic weekly demand profiles and understanding how these changes were related to regulatory and social systems. We performed k-means clustering on utility demand data measured before and as the pandemic evolved from five buildings of different types at the University of Texas at Austin. As expected, after SDPs were enacted both water and electricity use shifted, with most buildings seeing a sharp initial decline that remained low until the university partially reopened. In contrast to electricity use, we found that water use was tightly coupled with SDPs. Our study provides actionable information for managers to mitigate negative impacts (e.g., water stagnation) and capitalize on opportunities to minimize resource use.

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Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty

Huang

Guo

et al. 2023

Energy

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Water-energy benchmarking and predictive modeling in multi-family residential and non-residential buildings

Cited by 7 publications

References 58 publications

[Retracted] Reconstruction Design of Existing Residential Buildings Based on 3D Simulation Method

[Retracted] Reconstruction Design of Existing Residential Buildings Based on 3D Simulation Method

Human–Infrastructure Interactions during the COVID-19 Pandemic: Understanding Water and Electricity Demand Profiles at the Building Level

Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty

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