Multi dimensional energy monitoring, analysis and optimization system for energy efficient building operations

Gökçe, Hasan Ufuk; Gökçe, Kamil Umut

doi:10.1016/j.scs.2013.08.004

Cited by 42 publications

(13 citation statements)

References 7 publications

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“…But at the same time, the same information can be repeated in different tables. In [6] on the development of a system for monitoring and analyzing energy optimization, a star scheme was also used and the importance of using an operational data warehouse was emphasized.…”

Section: Methodsmentioning

confidence: 99%

Aggregation of multidimensional data for the decision support process for the management of microgrids with renewable energy sources

Shendryk

Parfenenko

Boiko

et al. 2022

TAPR

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The object of research is the process of processing and storing data when making decisions on managing the life cycle of electricity generation and consumption in microgrids with renewable energy sources. The prospects of the study are due to the fact that in order to provide a full-fledged decision support process in the management of microgrids with renewable energy sources, it is necessary to consolidate and manipulate multidimensional data in multithreading and online information processing. To solve the problem, the theoretical methods of analysis, abstraction, induction and deduction were used. To ensure multidimensionality and multithreading of data processing, it is proposed to develop a data warehouse based on the snowflake data model. Efficiency of information processing in real time is provided by an operational database built on the principle of OLTP. The organization of the joint work of the data warehouse with the operational database, the consolidation and manipulation of data is provided by triggers. The result of the work is a data warehouse that will be used in the decision support system for managing energy microgrids, which will improve the efficiency of data processing and storage. This is achieved by combining the work of a centralized data warehouse with an operational database, as well as the use of a separate data mart for each user of the system. The practical significance of the work lies in the fact that the data warehouse will become part of the decision support system for processing information about the life cycle of energy in the management of energy infrastructure. Compared to using a single database for a decision support system, this approach ensures the speed of working with data and allows differentiating between the use of a data warehouse for analytics and data manipulation operations. The data warehouse was deployed in a cloud environment on the Amazon Web Services (AWS) platform and the Amazon Relational Database Service (Amazon RDS) web service. Secure access to client data is implemented using data marts.

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Section: Methodsmentioning

confidence: 99%

Aggregation of multidimensional data for the decision support process for the management of microgrids with renewable energy sources

Shendryk

Parfenenko

Boiko

et al. 2022

TAPR

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“…Interoperability, in the specific case of BIM and energy analysis tools, is seen as low [92], tool-dependent [70] and as a challenge to an industry-wide BIM adoption [5,30,85,189]. Some works, from Gao et al [73], Kim et al [113] and Lu et al [126] identify the process of data extraction as one of the challenges hindering high interoperability levels, while others, as per Ceranic et al [46], Kamel et al [110] and Tang et al [190], mention discrepancies in [42,54,74,75,79,89,90,118,119,166,[199][200][201] Urban scale analysis (BIM/GIS) [40,47,56,87,98,149,171,180,184,207] Building monitoring [33,42,59,83,96,131,148,192,197,214,220 data file structures of software as another obstruction to the evolution of interoperabilit...…”

Section: Interoperabilitymentioning

confidence: 99%

“…Real-time building monitoring could contribute to keeping it in its peak efficiency during its lifecycle [83]. Through the creation of a Digital Twin model, maintenance plans can be created and stored in the model.…”

Section: Building Monitoringmentioning

confidence: 99%

Using BIM to improve building energy efficiency – A scientometric and systematic review

Pereira

Santos

Leite

et al. 2021

Energy and Buildings

100

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“…Recently, researchers have worked on using BIM models in novel ways such as for energy and asset monitoring; furthermore, most of the studies have been concentrated on land-based infrastructures such as buildings and bridges [ 133 , 194 , 195 , 196 , 197 , 198 ]. O’Shea and Murphy [ 18 ] explored health monitoring and asset management of offshore environments, concentrating on the design of an integrated structural health sensor network for an existing offshore structure.…”

Section: Content Analysismentioning

confidence: 99%

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

Panah

Kioumarsi

2021

Sensors

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Improvements in the science of health monitoring and maintenance have facilitated the observation of damage and defects in existing structures and infrastructures, such as bridges and railways. The need to extend sensing technology through the use of wireless sensors as well as the lack of description tools for understanding, visualizing, and documenting sensor outputs has encouraged researchers to use powerful tools such as Building Information Modelling (BIM) systems. BIM has become important because of conducting tools widely used in the Architecture, Engineering, and Construction (AEC) industry to present and manage information on structural systems and situations. Since combining health monitoring and maintenance results with BIM models is a new field of study, and most projects utilize various aspects of it, we have conducted a review of important work related to this subject published from 2010 to November of 2020. After reviewing 278 journal articles, research trends, approaches, methods, gaps, and future agenda related to BIM in monitoring and maintenance were highlighted. This paper, through a bibliometric and content analysis, concludes that besides main improvements, some limitations now exist which affect the modeling and maintenance process. These limitations are related to extending the IFC schema, optimizing sensor data, interoperability among various BIM platforms, optimization of various sensing technologies for fault detection and management of huge amounts of data, besides consideration of environmental effects on monitoring hazards and underground objects. Finally, this paper aims to help to solve the mentioned limitation through a comprehensive review of existing research.

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Multi dimensional energy monitoring, analysis and optimization system for energy efficient building operations

Cited by 42 publications

References 7 publications

Aggregation of multidimensional data for the decision support process for the management of microgrids with renewable energy sources

Aggregation of multidimensional data for the decision support process for the management of microgrids with renewable energy sources

Using BIM to improve building energy efficiency – A scientometric and systematic review

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

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