Skip to main content

2023 | OriginalPaper | Buchkapitel

Enhancing Building with Adaptive Design Objects Using Building Information Modelling Towards Consuming Energy Efficacy in Building

verfasst von : Ngoc Son Truong, Duc Long Luong, Ngoc Tri Ngo, Quang-Trung Nguyen, Ngoc Thao Linh Dang

Erschienen in: ICSCEA 2021

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Energy consumption in buildings is an important factor in the design and operation of a project as if energy reduction used in a building helps to lower operating costs and its environmental impact. Optimizing architectural design options, building surfaces, and HVAC systems from the beginning of a project using Building Information Modeling (BIM) to reduce energy consumption in the building is a new trend nowadays. BIM is said to be an interactive environment that efficiently manages and analyzes elements related to architecture, structure, electricity, and water design as well as the construction process. Furthermore, there are a variety of building energy modeling (BEM) tools that can import these BIM files and perform energy simulation. The simulation and calculation of the energy model via BIM, in particular, is regarded as a new solution for the construction industry in the future. In this research, energy simulation in buildings using a BIM system is proposed to change those design elements within construction process in order to reduce the Energy Use Intensity (EUI) and energy cost in the building. The result of this research are expected to help architects and building managers improving and enhancing the efficiency of energy used in buildings.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Abanda FH, Byers L (2016) An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (building information modelling). Energy 97:517–527CrossRef Abanda FH, Byers L (2016) An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (building information modelling). Energy 97:517–527CrossRef
2.
Zurück zum Zitat Ngu PT et al (2018) Construction Project Quality Management using Building Information Modeling 360 Field. Int J Adv Comput Sci Appl 9:228–233 Ngu PT et al (2018) Construction Project Quality Management using Building Information Modeling 360 Field. Int J Adv Comput Sci Appl 9:228–233
3.
Zurück zum Zitat Choi J et al (2016) Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment. Autom Constr 72:52–64CrossRef Choi J et al (2016) Development of openBIM-based energy analysis software to improve the interoperability of energy performance assessment. Autom Constr 72:52–64CrossRef
4.
Zurück zum Zitat Chan DWM, Olawumi TO, Ho AML (2019) Perceived benefits of and barriers to building information modelling (BIM) implementation in construction: The case of Hong Kong. J Build Eng 25:100764CrossRef Chan DWM, Olawumi TO, Ho AML (2019) Perceived benefits of and barriers to building information modelling (BIM) implementation in construction: The case of Hong Kong. J Build Eng 25:100764CrossRef
5.
Zurück zum Zitat Charef R et al (2019) Building information modelling adoption in the european union: an overview. J Build Eng 25:100777CrossRef Charef R et al (2019) Building information modelling adoption in the european union: an overview. J Build Eng 25:100777CrossRef
6.
Zurück zum Zitat Yuan H, Yang Y, Xue X (2019) Promoting owners’ BIM adoption behaviors to achieve sustainable project management. Sustainability 11(14):3905CrossRef Yuan H, Yang Y, Xue X (2019) Promoting owners’ BIM adoption behaviors to achieve sustainable project management. Sustainability 11(14):3905CrossRef
7.
Zurück zum Zitat Jalaei F, Jalaei F, Mohammadi S (2020) An integrated BIM-LEED application to automate sustainable design assessment framework at the conceptual stage of building projects. Sustain Cities Soc 53:101979CrossRef Jalaei F, Jalaei F, Mohammadi S (2020) An integrated BIM-LEED application to automate sustainable design assessment framework at the conceptual stage of building projects. Sustain Cities Soc 53:101979CrossRef
8.
Zurück zum Zitat Luque A et al (2020) ADAPTS: an intelligent sustainable conceptual framework for engineering projects. Sensors (Basel) 20(6):1553CrossRef Luque A et al (2020) ADAPTS: an intelligent sustainable conceptual framework for engineering projects. Sensors (Basel) 20(6):1553CrossRef
9.
Zurück zum Zitat Nguyen TA, Nguyen PT, Do ST (2020) Application of BIM and 3D laser scanning for quantity management in construction projects. Adv Civ Eng 2020:8839923 Nguyen TA, Nguyen PT, Do ST (2020) Application of BIM and 3D laser scanning for quantity management in construction projects. Adv Civ Eng 2020:8839923
10.
Zurück zum Zitat Nguyen T et al. (2020) Application of BIM in managing the volume of high-rise building walls. In: Materials today: Proceedings Nguyen T et al. (2020) Application of BIM in managing the volume of high-rise building walls. In: Materials today: Proceedings
11.
Zurück zum Zitat Kamel E, Memari AM (2019) Review of BIM’s application in energy simulation: tools, issues, and solutions. Autom Constr 97:164–180CrossRef Kamel E, Memari AM (2019) Review of BIM’s application in energy simulation: tools, issues, and solutions. Autom Constr 97:164–180CrossRef
12.
Zurück zum Zitat Allouhi A et al (2015) Energy consumption and efficiency in buildings: current status and future trends. J Clean Prod 109:118–130CrossRef Allouhi A et al (2015) Energy consumption and efficiency in buildings: current status and future trends. J Clean Prod 109:118–130CrossRef
13.
Zurück zum Zitat Chou J-S, Ngo N-T (2016) Smart grid data analytics framework for increasing energy savings in residential buildings. Autom Constr 72:247–257CrossRef Chou J-S, Ngo N-T (2016) Smart grid data analytics framework for increasing energy savings in residential buildings. Autom Constr 72:247–257CrossRef
14.
Zurück zum Zitat Zhou S et al (2014) Real-time energy control approach for smart home energy management system. Electr Power Compon Syst 42(3–4):315–326CrossRef Zhou S et al (2014) Real-time energy control approach for smart home energy management system. Electr Power Compon Syst 42(3–4):315–326CrossRef
15.
Zurück zum Zitat Zhao H-X, Magoulès F (2012) A review on the prediction of building energy consumption. Renew Sustain Energy Rev 16(6):3586–3592CrossRef Zhao H-X, Magoulès F (2012) A review on the prediction of building energy consumption. Renew Sustain Energy Rev 16(6):3586–3592CrossRef
16.
Zurück zum Zitat Ngo N-T (2019) Early predicting cooling loads for energy-efficient design in office buildings by machine learning. Energy Build 182:264–273CrossRef Ngo N-T (2019) Early predicting cooling loads for energy-efficient design in office buildings by machine learning. Energy Build 182:264–273CrossRef
17.
Zurück zum Zitat Tsai M-S, Lin Y-H (2012) Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation. Appl Energy 96:55–73CrossRef Tsai M-S, Lin Y-H (2012) Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation. Appl Energy 96:55–73CrossRef
18.
Zurück zum Zitat Chen J et al (2015) Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method. Neurocomputing 174:1087–1100CrossRef Chen J et al (2015) Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method. Neurocomputing 174:1087–1100CrossRef
19.
Zurück zum Zitat Yaïci W, Entchev E (2016) Adaptive neuro-fuzzy inference system modelling for performance prediction of solar thermal energy system. Renew Energy 86:302–315CrossRef Yaïci W, Entchev E (2016) Adaptive neuro-fuzzy inference system modelling for performance prediction of solar thermal energy system. Renew Energy 86:302–315CrossRef
20.
Zurück zum Zitat Shi X et al. (2016) A review on building energy efficient design optimization rom the perspective of architects. Renew Sustain Energy Rev 65(Suppl C):872–884 Shi X et al. (2016) A review on building energy efficient design optimization rom the perspective of architects. Renew Sustain Energy Rev 65(Suppl C):872–884
21.
Zurück zum Zitat Shoubi MV et al (2015) Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches. Ain Shams Eng J 6(1):41–55CrossRef Shoubi MV et al (2015) Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches. Ain Shams Eng J 6(1):41–55CrossRef
22.
Zurück zum Zitat Hay R, Ostertag CP (2018) Life cycle assessment (LCA) of double-skin façade (DSF) system with fiber-reinforced concrete for sustainable and energy-efficient buildings in the tropics. Build Environ 142:327–341CrossRef Hay R, Ostertag CP (2018) Life cycle assessment (LCA) of double-skin façade (DSF) system with fiber-reinforced concrete for sustainable and energy-efficient buildings in the tropics. Build Environ 142:327–341CrossRef
23.
Zurück zum Zitat Cuce E et al (2014) Optimizing insulation thickness and analysing environmental impacts of aerogel-based thermal superinsulation in buildings. Energy Build 77:28–39CrossRef Cuce E et al (2014) Optimizing insulation thickness and analysing environmental impacts of aerogel-based thermal superinsulation in buildings. Energy Build 77:28–39CrossRef
24.
Zurück zum Zitat Pham A-D et al (2020) The development of a decision support model for eco-friendly material selection in Vietnam. Sustainability 12(7):2769CrossRef Pham A-D et al (2020) The development of a decision support model for eco-friendly material selection in Vietnam. Sustainability 12(7):2769CrossRef
25.
Zurück zum Zitat Tzempelikos A, Athienitis AK, Karava P (2007) Simulation of façade and envelope design options for a new institutional building. Sol Energy 81(9):1088–1103CrossRef Tzempelikos A, Athienitis AK, Karava P (2007) Simulation of façade and envelope design options for a new institutional building. Sol Energy 81(9):1088–1103CrossRef
26.
Zurück zum Zitat Luong DL et al (2020) Building a decision-making support framework for installing solar panels on vertical glazing façades of the building based on the life cycle assessment and environmental benefit analysis. Energies 13(9):2376CrossRef Luong DL et al (2020) Building a decision-making support framework for installing solar panels on vertical glazing façades of the building based on the life cycle assessment and environmental benefit analysis. Energies 13(9):2376CrossRef
27.
Zurück zum Zitat Mahiwal SG, Bhoi MK, Bhatt N (2021) Evaluation of energy use intensity (EUI) and energy cost of commercial building in India using BIM technology. Asian J Civ Eng 22:877–894CrossRef Mahiwal SG, Bhoi MK, Bhatt N (2021) Evaluation of energy use intensity (EUI) and energy cost of commercial building in India using BIM technology. Asian J Civ Eng 22:877–894CrossRef
28.
Zurück zum Zitat Najjar M et al (2019) Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings. Appl Energy 250:1366–1382CrossRef Najjar M et al (2019) Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings. Appl Energy 250:1366–1382CrossRef
29.
Zurück zum Zitat Toronto Green Standard (2018) Energy efficiency report submission & modelling guidelines. E.a.E.D.T.C.P Division, Toronto city Toronto Green Standard (2018) Energy efficiency report submission & modelling guidelines. E.a.E.D.T.C.P Division, Toronto city
Metadaten
Titel
Enhancing Building with Adaptive Design Objects Using Building Information Modelling Towards Consuming Energy Efficacy in Building
verfasst von
Ngoc Son Truong
Duc Long Luong
Ngoc Tri Ngo
Quang-Trung Nguyen
Ngoc Thao Linh Dang
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3303-5_19