Towards developing a systematic knowledge trend for building energy consumption prediction

Qiao, Qingyao; Yunusa‐Kaltungo, Akilu; Edwards, Rodger

doi:10.1016/j.jobe.2020.101967

Cited by 45 publications

(17 citation statements)

References 178 publications

(217 reference statements)

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“…The methodology ensures an effective description of the analytic approach of the review. A comprehensive protocol adapted from Moher et al and Okoli [18][19][20][21] is followed and illustrated in this section.…”

Section: Methodsmentioning

confidence: 99%

“…Figure 9 presents a distribution of the different types of buildings and infrastructure that have been considered by earlier studies, so as to better understand where research efforts have been concentrated as well as the underrepresented areas. For better comparisons, the buildings have been grouped into the following five main categories [20]. Residential buildings include different housing types, such as apartments, town houses or duplexes.…”

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

“…efforts have been concentrated as well as the underrepresented areas. For better comparisons, the buildings have been grouped into the following five main categories [20]. Residential buildings include different housing types, such as apartments, town houses or duplexes.…”

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

“…In addition, the matrix in Table 5 shows what functions of BIM in O&M were explored with respect to building types, in which it is evident that information management (IM) recorded the largest portion of publications especially in institutional buildings, but that relatively low focus had been given to visualization management (VM) and lean efforts have been concentrated as well as the underrepresented areas. For better comparisons, the buildings have been grouped into the following five main categories [20]. Residential buildings include different housing types, such as apartments, town houses or duplexes.…”

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

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A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Abideen¹,

Yunusa‐Kaltungo²,

Manu³

et al. 2022

Sustainability

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Although a considerable amount of research has addressed the use of building information modelling (BIM) in facilities management (FM) within the past years, there is limited systematic review on investigating the potentials of BIM within the operation and maintenance (O&M) life cycle phase. Yet, this phase could account for approximately 60% of the total life cycle costs of assets. The purpose of this paper is to conduct a systematic literature review on the application of BIM in the O&M phase to identify current research trends, research gaps and future directions. This study achieves the aforementioned purpose by adopting the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). It employs qualitative and quantitative techniques to analyse the articles from a combination of three multi-disciplinary research databases, namely—Scopus, Web of Science and Engineering Village, which also comprises Compendex, InSpec, GeoRef and GeoBase sub-databases. After an in-depth review of 196 selected journal articles, this study systemically presents: (1) bibliometric analyses of the literature in BIM and O&M; (2) research patterns and trends; (3) drivers and barriers to BIM–O&M integration; and (4) research gaps mapped into a standard project management lifecycle to guide future research directions. The content analysis reveals that BIM has mainly been integrated under seven functions: information management (IM), advanced technology (AT), maintenance and asset management (MAM), indoor management (IM), performance assessment (PA), visualisation (V), and lean management (LM). Findings of the study reveal that the UK, USA and China are the top ranked countries with regards to research outputs on BIM–O&M integrations. The majority of BIM integrations within O&M falls under the information management function, whereas the least research output was recorded under lean management. In addition, the majority of studies focused on institutional and infrastructure facility types, but residential, industrial and commercial buildings were underrepresented, despite their disproportionate physical dominance within most societies. Findings also show that potential drivers and barriers for BIM integrations within O&M can be classified into three main categories—technical, organisational, and legal/contractual. It is then concluded that the application of BIM within O&M is still emerging, which further emphasises the need for more studies that address value realization in the context of BIM in O&M, with particular focus on the specific O&M principles for different building types.

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Section: Methodsmentioning

confidence: 99%

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

Section: Overview Of Building and Facility Typesmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

Abideen¹,

Yunusa‐Kaltungo²,

Manu³

et al. 2022

Sustainability

Self Cite

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show abstract

“…Once the CCS harmonic amplitudes and their corresponding SEs of interest (depending on the fault types considered, e.g., low frequency for rotor-related and higher frequency for gear faults) have been obtained, Stage 2 of fusion involves their standardisation, dimensionality reduction, and harmonisation based on PCA [49][50][51] and ANN [52][53][54]. The computational steps required for Stage 2 are described by Equations ( 7)- (11).…”

mentioning

confidence: 99%

An Automated Data Fusion-Based Gear Faults Classification Framework in Rotating Machines

Cao

Yunusa‐Kaltungo

2021

Sensors

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The feasibility and usefulness of frequency domain fusion of data from multiple vibration sensors installed on typical industrial rotating machines, based on coherent composite spectrum (CCS) as well as poly-coherent composite spectrum (pCCS) techniques, have been well-iterated by earlier studies. However, all previous endeavours have been limited to rotor faults, thereby raising questions about the proficiency of the approach for classifying faults related to other critical rotating machine components such as gearboxes. Besides the restriction in scope of the founding CCS and pCCS studies on rotor-related faults, their diagnosis approach was manually implemented, which could be unrealistic when faced with routine condition monitoring of multi-component industrial rotating machines, which often entails high-frequency sampling at multiple locations. In order to alleviate these challenges, this paper introduced an automated framework that encompassed feature generation through CCS, data dimensionality reduction through principal component analysis (PCA), and faults classification using artificial neural network (ANN). The outcomes of the automated approach are a set of visualised decision maps representing individually simulated scenarios, which simplifies and illustrates the decision rules of the faults characterisation framework. Additionally, the proposed approach minimises diagnosis-related downtime by allowing asset operators to easily identify anomalies at their incipient stages without necessarily possessing vibration monitoring expertise. Building upon the encouraging results obtained from the preceding part of this approach that was limited to well-known rotor-related faults, the proposed framework was significantly extended to include experimental and open-source gear fault data. The results show that in addition to early established rotor-related faults classification, the approach described here can also effectively and automatically classify gearbox faults, thereby improving the robustness.

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Assessing the viability of hybrid renewable energy systems in Nigeria

Mas'ud,

Yunusa‐Kaltungo,

Rufa'I

et al. 2024

Engineering Reports

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The implementation of renewable energy strategies has been on the rise due to recent global initiatives on sustainable development. In this work, meteorological data obtained from geographically separated stations in Nigeria is utilized to assess the economic benefits of off‐grid renewable energy projects specifically WT/battery, PV/battery, and PV/WT/battery systems for upcoming projects in six different sites, with anticipated start dates in 2023, 2026, and 2029. By utilizing future forecasts of capital costs, this analysis aims to facilitate the decision‐making process regarding the optimal timing and placement of these installations. The WT/battery systems have a levelised cost of electricity (LCOE) that is 20–35 times more in comparison to both PV/WT/battery and PV/battery systems. In 2023, the LCOE for photovoltaic (PV)/battery systems varies from $0.16/kWh in Yola to $0.169/kWh in Port Harcourt. On the other hand, PV/WT/battery systems have the lowest LCOE, ranging from $0.261/kWh in Jos to $0.319/kWh in Port Harcourt. The analysis additionally demonstrated that in the event of project delays, PV/battery systems are projected to exhibit the lowest LCOE across all locations by 2029. This is attributed to the anticipated accelerated reduction in PV and battery expenses compared to the decline in costs associated with WTs. In the specified year, Yola exhibited the most favorable LCOE at $0.0748 per kilowatt‐hour, while Port Harcourt recorded the highest LCOE at $0.113 per kilowatt‐hour. It has been discovered that solar energy exhibits more cost‐effectiveness compared to wind energy, mostly attributable to its superior ability to match generation with load on an hourly and monthly basis, particularly in the presence of heavy loads. This study provides a comprehensive geographical overview that will assist policymakers in the strategic selection of cities in Nigeria for the deployment of off‐grid renewable energy (RE) systems.

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Towards developing a systematic knowledge trend for building energy consumption prediction

Cited by 45 publications

References 178 publications

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

A Systematic Review of the Extent to Which BIM Is Integrated into Operation and Maintenance

An Automated Data Fusion-Based Gear Faults Classification Framework in Rotating Machines

Assessing the viability of hybrid renewable energy systems in Nigeria

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