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A simulation-based multi-objective genetic optimization framework for efficient building design in early stages: application for Vietnam's hot and humid climates

A simulation-based multi-objective genetic optimization framework for efficient building design... In many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.Design/methodology/approachThe methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.FindingsThe results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.Originality/valueThis is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Building Pathology and Adaptation Emerald Publishing

A simulation-based multi-objective genetic optimization framework for efficient building design in early stages: application for Vietnam's hot and humid climates

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2398-4708
DOI
10.1108/ijbpa-04-2021-0050
Publisher site
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Abstract

In many countries, innovation in building design for improving energy performance, reducing CO2 emissions and minimizing life cycle cost has received much attention for sustainable development. This paper investigates the importance of optimization tools for enhancing the design performance in the early stages of Vietnam's cooling-dominated buildings in hot and humid climates using an integrated building design approach.Design/methodology/approachThe methodology of this study exploits the non-dominated sorting genetic algorithm (NSGA-II) optimization algorithm coupled with building simulation to research a trade-off between the optimization of investment cost and energy consumption. Our approach focuses on the whole optimization problem of thermal envelope, glazing and energy systems from preliminary design phases. The methodology is then tested for a case study of a non-residential building located in Hanoi.FindingsThe results show a considerable improvement in design performance by our method compared to current building design. The optimal solutions present the trade-off between energy consumption and capital cost in the form of a Pareto front. This helps architects, engineers and investors make important decisions in the early design stages with a large view of impacts of all factors on energy performance and cost.Originality/valueThis is one of the original research to study integrated building design applying the simulation-based genetic optimization algorithm for cooling-dominated buildings in Vietnam. The case study in this article is for a non-residential building in the north of Vietnam but the methodology can also be applied to residential buildings and other regions.

Journal

International Journal of Building Pathology and Adaptation – Emerald Publishing

Published: May 17, 2022

Keywords: Building simulation; Multi-objective optimization; Genetic algorithm; NSGA-II; Early design stages; Cooling-dominated buildings; Integrated design

References

  • A MOPSO algorithm based exclusively on Pareto dominance concepts
    Alvarez-Benitez, J.; Everson, R.; Fieldsend, J.
  • Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design
    Attia, S.; Hamdy, M.; O'Brien, W.; Carlucci, S.
  • Analysis of generalized pattern searches
    Audet, C.; Dennis, J.
  • Publisher Correction: present and future Köppen-Geiger climate classification maps at 1-km resolution
    Beck, H.E.; Zimmermann, N.E.; McVicar, T.R.; Vergopolan, N.; Berg, A.; Wood, E.F.
  • Energy efficiency glazing: modern material solutions for green buildings
    Cẩm-Tú
  • Optimal meeting scheduling in smart commercial building for energy cost reduction
    Chai, B.; Costa, A.; Ahipasaoglu, S.D.; Yuen, C.; Yang, Z.
  • Swarm intelligence: a review of algorithms
    Chakraborty, A.; Kar, A.
  • Multi-objective building design optimization under operational uncertainties using the NSGA II algorithm
    Chaturvedi, S.; Rajasekar, E.; Natarajan, S.
  • Typical Air Conditioners Used for High-Rise Buildings - Capacity Building Training on Design, Construction and Acceptance of Energy Efficient Buildings in Vietnam
  • Green building materials and energy efficiency: towards green building development
    Đan, L.; Hà, Đ.
  • A study on energy consumption of hotel buildings in Vietnam
    Dat, M.V.; Quang, T.N.
  • Multi-objective optimization of the building energy performance: a simulation-based approach by means of particle swarm optimization (PSO)
    Delgarm, N.; Sajadi, B.; Kowsary, F.; Delgarm, S.
  • Multi-objective optimization of the building energy performance: a simulation-based approach by means of particle swarm optimization (PSO)
    Delgarm, N.; Sajadi, B.; Kowsary, F.; Delgarm, S.
  • Summary outputs (KPIs)
  • Optimisation calculation options dialog - general tab
  • A critical review on Energy Efficiency and Conservation policies and programs in Vietnam
    Duc Luong, N.
  • A review of computational optimisation methods applied to sustainable building design
    Evins, R.
  • Multi-variable optimization of building thermal design using genetic algorithms
    Ferdyn-Grygierek, J.; Grygierek, K.
  • Multi-objective optimization of a building envelope for thermal performance using genetic algorithms and artificial neural network
    Gossard, D.; Lartigues, B.; Thellier, F.
  • Trends in Green building technology
    Hà, Đ.
  • A concept for energy-efficient high-rise buildings in Hanoi and a calculation method for building energy efficiency factor
    Ha, P.T.H.
  • Multi-objective optimization of building energy design to reconcile collective and private perspectives: CO2-eq vs. Discounted payback time
    Hamdy, M.; Mauro, G.
  • Global status report for buildings and construction 2019
  • A fast and elitist multiobjective genetic algorithm: NSGA-II
    Kalyanmoy Deb; Pratap, A.; Agarwal, S.; Meyarivan, T.
  • Energy management strategy for zone cooling load demand reduction in commercial buildings: a data driven approach
    Kannan, T.; Lork, C.; Tushar, W.; Wong, N.C.; Tai, S.; Lan, L.; Wood, K.L.
  • Genetic algorithm for building optimization: state-of-the-art survey
    Li, T.; Shao, G.; Zuo, W.; Huang, S.
  • Application of multi-objective genetic algorithm based simulation for cost-effective building energy efficiency design and thermal comfort improvement
    Lin, Y.; Yang, W.
  • Energy efficient lighting system design for building
    Muhamad, W.; Mat Zain, M.Y.; Wahab, N.; Aziz, H.; Kadir, R.
  • Sustainable housing in Vietnam: climate responsive design strategies to optimize thermal comfort
    Nguyen, A.
  • A review on simulation-based optimization methods applied to building performance analysis
    Nguyen, A.-T.; Reiter, S.; Rigo, P.
  • Applications of optimization methods in designing energy-efficient buildings
    Nguyen, A.-T.; Le, T.-K.-D.; Phan, T.-V.
  • Refurbishing houses to improve energy efficiency - potential in Vietnam
    Nguyen, P.A.; Bokel, R.; Dobbelsteen, A.
  • Building simulations supporting decision making in early design – a review
    Østergård, T.; Jensen, R.L.; Maagaard, S.E.
  • A framework for simulation-based real-time whole building performance assessment
    Pang, X.; Wetter, M.; Bhattacharya, P.; Haves, P.
  • Optimizing energy efficiency in operating built environment assets through building information modeling: a case study
    Petri, I.; Kubicki, S.; Rezgui, Y.; Guerriero, A.; Li, H.
  • Interior-point methods
    Potra, F.A.; Wright, S.J.
  • Building sector brief: Vietnam
  • Early-stage design considerations for the energy-efficiency of high-rise office buildings
    Raji, B.; Tenpierik, M.; van den Dobbelsteen, A.
  • A ‘design for energy minimization’ approach to reduce energy consumption during the manufacturing phase
    Seow, Y.; Goffin, N.; Rahimifard, S.; Woolley, E.
  • Evolutionary optimization algorithms
    Simon, D.
  • Building energy optimization tools and their applicability in architectural conceptual design stage
    Tian, Z.C.; Chen, W.Q.; Tang, P.; Wang, J.G.; Shi, X.
  • Green building certification with rooftop solar
  • Internet of things for green building management: disruptive innovations through low-cost sensor technology and artificial intelligence
    Tushar, W.; Wijerathne, N.; Li, W.T.; Yuen, C.; Poor, H.V.; Saha, T.K.; Wood, K.L.
  • LOTUS NR V2.0 silver certification - Vietnam Securities depository
  • Vietnam Securities depository centre
  • Energy simulation - an effective solution for building energy efficiency
  • An efficient approach for energy consumption optimization and management in residential building using artificial bee Colony and fuzzy logic
    Wahid, F.; Kim, D.H.
  • Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design
    Yu, W.; Li, B.; Jia, H.; Zhang, M.; Wang, D.
  • Overview of NSGA-II for optimizing machining process parameters
    Yusoff, Y.; Ngadiman, M.S.; Zain, A.M.
  • An interactive optimisation engine for building energy performance simulation | request PDF
    Zhang, Y.; Jankovic, L.
  • Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques
    Zhou, Y.
  • Comparison of multiobjective evolutionary algorithms: empirical results
    Zitzler, E.; Deb, K.; Thiele, L.