CC BY
43
UDK 69
ENERGY ANALYSIS OF BUILDING STRUCTURES USING BIM: A REVIEW
Asser Elsheikh***, Baza Tewodros Temede*, Dabi Gizachew Megersa*, Dereje Lami Sileshi* *Peoples' Friendship University of Russia (RUDN University), Department of Civil Engineering, Moscow, Russia
**Mansoura University, Structural Engineering Department, Mansoura, Egypt
Аннотация.
Since energy consumption associated with the heating and cooling system accounts for a large portion of energy consumption in buildings, there is an urgent need to improve energy efficiency. This paper examines the methods of energy analysis by classifying and reviewing articles from recent years to determine the extent to which these methods have been used. The results obtained show that the integration of BIM and BEM can be used to simulate energy performance and optimize energy demand.
Ключевые слова:
energy, Building Information Modelling (BIM), Building Energy Modelling (BEM), sustainability. История статьи: Дата поступления в редакцию 19.02.21
Дата принятия к печати 22.02.21
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1. Introduction
Global warming has dramatically increased the pressure to reduce energy consumption in buildings [1]. The building sector is responsible for significant resource consumption in construction, operation, and demolition. This creates an urgent need to significantly reduce consumption as it is directly related to strengthening sustainability. For example, the energy sector is of particular interest as it is associated with carbon dioxide (CO2) emissions, which are central to mitigating climate change. Several environmental assessment tools, e.g., BREEAM and LEED, are now established and used as part of the planning process [2]. However, the dissemination of better technological experience is not easily achieved in the context of new buildings. The construction industry is in the early stages of a major technological advancement and also post-construction technology in the form of Building Information Modelling (BIM), which aims to integrate all information flows associated with a construction project and improve their accessibility to all project stakeholders [3]. Sustain-ability information and building recharacterization data would be logical and valuable additions to the data available through BIM [4].
In accordance with a building's requirements, Building Energy Modeling (BEM) can be used to predict monthly energy consumption, annual energy costs, annual carbon emissions and to compare different efficiency measures and cost savings [3].
This paper reviews the findings of different research works regarding the integration of Building information modelling tools to Energy based sustainability of the building construction.
2. Methodology
The search engines which have been used in this review are ResearchGate, Google scholars, and other databases.
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Keywords are very crucial for the successfulness of searching literatures, to gather a wider range of Energy analysis using BIM research with different building and analysis types. The keywords applied in literature are classified into three categories. The first category includes BIM/Building Information Modelling, BEM/Building Energy Modelling. The second category includes: Sustainability, Performance, and Energy. The third category includes the following key words: Simulation and Analysis.
3. Literature analysis
Farshidshardram et al. [5] presented a framework to support design decisions and enable life cycle assessment (LCA) of the grey energy associated with the supply chain of building materials based on Environmental Product Declarations (EPDs) from suppliers. The framework integrated Extract Transform Load (ETL) technology into the BIM to ensure BIM-LCA interoperability, enabling an automated or semi-automated assessment process. The pertinency of the framework was tested by developing an example and victimization it in a very case study, that showed that a building's energy use and carbon footprint may be considerably reduced throughout the look part by accounting for the impact of individual material within the provide chain.
Abanda et al. [6] investigated the impact of orientation on energy consumption in small-scale construction and assessed however BIM are often accustomed facilitate this method. The strategy adopted was three-fold. Firstly, a real-life building model was created in Revit, one in all the leading BIM tools. Secondly, the model was exported to inexperienced Building Studio, one in all the leading energy simulation software package. Thirdly, within the inexperienced Building Studio, completely different building orientations area unit adopted, and their impacts on the total building energy area unit investigated. It emerged that a well-orientated building might save a substantial quantity of energy throughout its life cycle.
Stathis et al. [7] brought together the theory of Life Cycle Assessment (LCA) and the capabilities of BIM to survey the current developments in the energy efficiency of structural systems. In addition, the article explored the engineering dimensions of common decision-making procedures within BIM systems including optimization methods, buildability and safety constraints and code compliance limitations. The research presented critical expositions in both engineering and sustainable energy domains and then the article argued that the failure innovations in the sustainable decision making of buildings structures would require BIM-integrated workflows in order to facilitate the conflicting nature of both energy efficient and engineering performance indexes.
Georgios et al. [8] explored the potentials and deficits of the modelling, analysis and optimization of energy-efficient industrial buildings using BIM to BEM (building energy modelling) methodology, by means of case study research of two industrial facilities. Varying desires regarding the amount of development and linguistics variations within the modeling procedures of part-taking disciplines (architecture, structural engineering, or analysis) were known as problems, likewise as time pressure collectively of the most reasons for defects of building models. The known deficits represent varied kinds of uncertainties associated with the integrated energy modeling, as BIM to BEM. It was concluded that as a first step of integrated modelling, an uncertainty-analysis should be carried out, and strategies how to deal with these developed.
Gerrish et al. [1] used visual programming language to establish the potential of using BIM as a tool for a building's performance visualization and management in the design and operation stages, resulting in a methodology based on simulation data, sensors and interviews with designers and users. However, the authors emphasized that, in order for BIM to be effectively used as a performance management tool, one should request patterns of use for structuring data, and professionals and users have to be compelled to adapt to the impacts of those new technologies on their roles.
Shang [9] Concerned green BIM based on the integrated application of Building Information Modelling (BIM) and building performance analysis (BPA) software as tools for the design and analysis of building projects and employed a sequential decision-making cycle and continuously improving design to achieve an optimal proposal consistent with environmental effectiveness. This study recommended that building energy use intensity
(EUI) be used as an energy load measurement unit of integrated performance indicators and employing performance optimization percentage as a rating criterion. As the existing BIM software have deficiency on fully and effectively performing energy retrofitting, particularly for existing building, this integrated system may have important role on optimization.
Ioan et al. [10] presented however a virtual cooperative system are often expeditiously used for implementing BIM-based energy improvement for controlling, monitoring buildings, and running energy optimization, greatly contributing to creat a BIM construction community with energy practices. The solution described, known as energy-bim.com platform, disseminates energy efficient practices and community engagement and provide support for building managers in implementing energy efficient optimization plans. This collaborative system could be vital solution on implementation of lifetime energy optimization.
Rodger et al. [11] focused on the employment of BIM sustainable design tools to realize energy-efficient buildings and achieve property criteria for refurbishing non-domestic buildings. The research also reviewed the practicality of the existing sustainability decision-support tools that are currently used to assist with achieving environmental scheme certifications such as BREEAM and LEED for refurbishment projects. The dynamic tension between two competing systems, BREEAM and LEED is desirable. Clearly, a one-size-fits assessment scheme would be difficult to achieve on a global basis. Different problems ought to be hierarchical in order to match regional conditions and rules.
Mohammad et al. [12] proposed a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. The experimental design was adopted inside the framework via the utilization of assorted performance parameters associated with the building style (i.e., construction materials for exterior walls and roofs, further as a group of window-to-wall ratios). Results indicated that climate information plays a basic role within the selection of design factors that are best fitted to effective energy consumption in buildings. As climate change is unpredictable it is important to take its effect into account. But additionally, it would be better if the effect of material types used so that it would enhance the energy optimization with a possible option to choose materials with less carbon emission.
Ilaria et al. [13] presented the refurbishment of existing buildings to change them into nearly zero-energy buildings (nZEBs). The implications of a world improvement situation on thermal and visual comfort were assessed referring to an existing building. The energy retrofitting should consider different parameters such as climate change, modification of design code, materials used and other parameters which have direct effect on energy optimization. The results pointed out that energy retrofit actions on the building envelope would lead to significant improvements in the thermal performance, regarding both energy savings (37% of the annual primary energy for heating) and thermal comfort.
Syed et al. [14] introduced a BIM-based systematic approach to energy retrofitting, which comprises a whole spectrum of information acquisition, energy modelling, and software interoperability. As Energy Simulation is a computer-aided analysis that helps construction professionals to evaluate and increase energy efficiency through required modifications at the project planning phase. A detailed system boundary, including energy consumption reduction, cost savings, capital investment, technical change in emission behavior, and comfort indexing together with sustainability problems, was defined.
Luis et al. [15] surveyed the recent developments within the energy potency of buildings, combining energy retrofitting and also the technological capabilities of BIM. Solutions for as-built knowledge acquisition like optical device scanning and infrared diagnostic technique and on-site energy tests that profit the acquisition of energy-related knowledge are explored. the foremost predominant BIM software package concerning not solely energy analysis however conjointly model development is examined. additionally, ability restrictions between BIM and energy analysis package are addressed using the Industry Foundation Classes (IFC) and Green Building Extensible Markup Language (gbXML) schemes.
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4. Conclusion
The importance of long-term sustainable construction in today's world from a social, ecological, and economic point of view is undisputable. BIM technology is a tool that is being used to help make the construction industry more economically and environmentally sustainable. Hence, implementing BIM based energy optimization for building structure has a great contribution in controlling, monitoring buildings and running energy optimization.
The overall energy savings that result from implementation on new design and retrofitting actions on existing buildings much more significance on Green Building Environment. Therefore, further development is still required to make the use of BIM more accurate on different levels of construction specially on its application on existing building regarding building energy simulation software.
REFERENCES
1. Gerrish, T., Ruikar, K., Cook, M., Johnson, M., Phillip, M., Lowry, C. BIM application to building energy performance visualization and management: Challenges and potential. Energy and Buildings. 2017: 144 : 218- 222
2. E. Meex, A. Hollberg, E. Knapen, L. Hildebrand, G.F.Verbeeck. Requirements for applying LCA-based environmental impact assessment tools in the early stages of building design. Building and Environment. 2018 : 133 : 228-236
3. Vom Brocke, J., Simons, A., Niehaves, B., Plattfaut, R., & Cleven, A. Reconstructing the giant: on the importance of rigor in documenting the literature search process. In Proceedings of the 17th European Conference on Information Systems. 2009 : 2-13
4. Ballarini, I., De Luca, G., Paragamyan, A., Pellegrino, A., Corrado, V. Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance. Energies. 2019: 12 (895).
5. FarshidShadram,Tim, David Johansson, Weizhuo Lu,Jutta Schade Thomas Olofsson, An integrated BIM-based framework for minimizing embodied energy during building design. Energy and Buildings.2016,28,592-604
6. F.H. Abanda, L. Byers. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM. Energies. 2016,97,517-527
7. Stathis Eleftheriadis, Dejan Mumovic, Paul Greenin. Life cycle energy efficiency in building structures: A review of current developments and future outlooks based on BIM capabilities. Renewable and sustainable Energy. 2017,68, 11-825.
8. Georgios Gourlis, Iva Kovacic. Building Information Modelling for analysis of energy efficient industrial buildings -A case study. Renewable and sustainable Energy. 2016,68, 953-963
9. Shang-yuan Chen. A green building information modelling approach: building energy performance analysis and design optimization. In the proceedings of MATEC Web of Conferences,2018,169,01004.
10. Ioan Petri1, Ali Alhamami, Yacine Rezgui1, and Sylvain Kubicki. A Virtual Collaborative Platform to Support Building Information Modeling Implementation for Energy Efficiency. In proceedings of the 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PR0-VE.2018, 534,539-550.
11. Rodger E. Edwardsa, Eric Loub, Anas Batawc, Syahrul Nizam Kamaruzzamand, Christopher Johnsonb. Sustainability-led design: Feasibility of incorporating whole-life cycle energy assessment into BIM for refurbishment projects. Journal of Building Engineering ,2019,24 100697.
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14. Syed Mohd Mehndi, Indrani Chakraborty. Simulation for a Cost-Effective and Energy Efficient Retrofits of the Existing Building Stock in India using BIM. International Conference on Contemporary Computing and Applications (IC3A). 2020
15. Luis Sanhundo, Nuno M.M. Ramos, Jao Pacos Martinsa, Ricardo M.S.F. Armeids, Eva Barreira, M. Luredes Simoes, Vitor Cardoso. Building information modelling for energy retrofitting -a review.
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Просьба ссылаться на эту статью следующим образом:
Asser Elsheikh, Baza Tewodros Temede, Dabi Gizachew Megersa, Dereje Lami Sileshi. Energy analysis of building structures using BIM: A review. — Системные технологии. — 2021. — № 38. — С. 77—81.
ЭНЕРГЕТИЧЕСКИЙ АНАЛИЗ СТРОИТЕЛЬНЫХ КОНСТРУКЦИЙ С ИСПОЛЬЗОВАНИЕМ BIM: ОБЗОР
Ассер Эльшейх*", База Теодрос Темеде*, Даби Гизачью Мегерса*, Дереже Лами Силеши*
*Российский университет дружбы народов (РУДН), инженерно-строительный факультет, Москва, Россия
**Университет Мансуры, факультет структурной инженерии, Мансура, Египет
Abstract.
Поскольку потребление энергии, связанное с системой отопления и охлаждения, составляет большую часть потребления энергии в зданиях, существует острая необходимость в повышении энергоэффективности. В этой статье рассматриваются методы энергетического анализа путем классификации и обзора статей за последние годы, чтобы определить степень использования
Key words.
энергия, информационное
моделирование зданий (BIM),
моделирование энергии зданий
(BEM), устойчивость.
Date of receipt in edition: 19.02.21
Date o f acceptance for printing:
22.02.21
этих методов.
Полученные результаты показывают, что интеграция BIM и BEM может использоваться для моделирования энергоэффективности и оптимизации энергопотребления.
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УДК 625.711.1
АНАЛИЗ И ПРОГНОЗИРОВАНИЕ ОБЕСПЕЧЕННОСТИ ТРАНСПОРТНОЙ ИНФРАСТРУКТУРОЙ МАГИСТРАЛИ М-4 «ДОН» В ЮЖНОМ ФЕДЕРАЛЬНОМ ОКРУГЕ
А.А. Богомазов*, С.В. Стрельцов*, Р.А. Бакулин*, М.А. Голодов** * Шахтинский автодорожный институт (филиал) ФГБОУ ВО «Южно-Российский государственный политехнический университет (НПИ) имени М.И. Платова», г. Шахты ** Институт сферы обслуживания и предпринимательства (филиал) ФГБОУ ВО «Донской государственный технический университет», г. Шахты
Аннотация.
В статье приведено обоснование необходимости реконструкции транспортной инфраструктуры в Южном федеральном округе с учетом перспективы увеличения интенсивности движения до 2032 года. Представлена перспективная интенсивность по проектируемому участку на 2032 год в существующих и проектных условиях, приведены предполагаемые темпы роста интенсивности движения. Показаны пути снижения загруженности федеральной трассы М-4 «Дон» и эффект от предлагаемых мероприятий.
Ключевые слова:
реконструкция, автомобильная дорога, М-4 «Дон», прогноз, интенсивность движения, транспортная инфраструктура, пропускная способность. История статьи:
Дата поступления в редакцию 02.02.21 Дата принятия к печати 05.02.21
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