IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v36y2011i3p1659-1667.html
   My bibliography  Save this article

Design optimization of insulation usage and space conditioning load using energy simulation and genetic algorithm

Author

Listed:
  • Shi, Xing

Abstract

Architectural design is a process to find the best solution to satisfy various design criteria. To achieve sustainable and green design, performance simulations are often used to verify these criteria and modify the design. The conventional approach of manual trial-and-error is too time-consuming to be practical. Introducing optimization technique can greatly improve the design efficiency and help designers find the optimal design. In this paper, modeFRONTIER was used as the design optimization environment to find the best insulation strategy to minimize the space conditioning load of an office building located in Nanjing, China while keeping the insulation usage at minimum. EnergyPlus was integrated into the optimization tool by writing a DOS batch file to automate the work flow. The search engine was the genetic algorithm and it proved to be able to generate a well-defined Pareto frontier in a reasonable number of runs. Based on the Pareto frontier, the designer can specify his preferences and select the final design. The case study shows that an energy simulation program can be effectively integrated into a design optimization environment to find the optimal design. The technique presented has a broad application in architectural design, especially when the design considerations are multi-objective.

Suggested Citation

  • Shi, Xing, 2011. "Design optimization of insulation usage and space conditioning load using energy simulation and genetic algorithm," Energy, Elsevier, vol. 36(3), pages 1659-1667.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:3:p:1659-1667
    DOI: 10.1016/j.energy.2010.12.064
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421000770X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2010.12.064?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mossolly, M. & Ghali, K. & Ghaddar, N., 2009. "Optimal control strategy for a multi-zone air conditioning system using a genetic algorithm," Energy, Elsevier, vol. 34(1), pages 58-66.
    2. Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497190, September.
    3. Sundaram,Rangarajan K., 1996. "A First Course in Optimization Theory," Cambridge Books, Cambridge University Press, number 9780521497701, September.
    4. Loutzenhiser, Peter G. & Maxwell, Gregory M. & Manz, Heinrich, 2007. "An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows," Energy, Elsevier, vol. 32(10), pages 1855-1870.
    5. Jeon, Jongug & Lee, Sunil & Hong, Daehie & Kim, Yongchan, 2010. "Performance evaluation and modeling of a hybrid cooling system combining a screw water chiller with a ground source heat pump in a building," Energy, Elsevier, vol. 35(5), pages 2006-2012.
    6. Liao, Chiung-Chou, 2010. "Genetic k-means algorithm based RBF network for photovoltaic MPP prediction," Energy, Elsevier, vol. 35(2), pages 529-536.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stevanović, Sanja, 2013. "Optimization of passive solar design strategies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 177-196.
    2. Bornatico, Raffaele & Hüssy, Jonathan & Witzig, Andreas & Guzzella, Lino, 2013. "Surrogate modeling for the fast optimization of energy systems," Energy, Elsevier, vol. 57(C), pages 653-662.
    3. Hae Jin Kang, 2017. "Development of an Nearly Zero Emission Building (nZEB) Life Cycle Cost Assessment Tool for Fast Decision Making in the Early Design Phase," Energies, MDPI, vol. 10(1), pages 1-21, January.
    4. Wei, Zhongbao & Li, Xiaolu & Xu, Lijun & Cheng, Yanting, 2013. "Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 683-692.
    5. Shi, Xing & Tian, Zhichao & Chen, Wenqiang & Si, Binghui & Jin, Xing, 2016. "A review on building energy efficient design optimization rom the perspective of architects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 872-884.
    6. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
    7. Tafaoli-Masoule, M. & Bahrami, A. & Elsayed, E.M., 2014. "Optimum design parameters and operating condition for maximum power of a direct methanol fuel cell using analytical model and genetic algorithm," Energy, Elsevier, vol. 70(C), pages 643-652.
    8. Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Gomes, Álvaro, 2014. "Improving thermal performance of automatically generated floor plans using a geometric variable sequential optimization procedure," Applied Energy, Elsevier, vol. 132(C), pages 200-215.
    9. Mardan, Nawzad & Klahr, Roger, 2012. "Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry," Energy, Elsevier, vol. 44(1), pages 410-419.
    10. Theodoridou, Ifigeneia & Karteris, Marinos & Mallinis, Georgios & Papadopoulos, Agis M. & Hegger, Manfred, 2012. "Assessment of retrofitting measures and solar systems' potential in urban areas using Geographical Information Systems: Application to a Mediterranean city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6239-6261.
    11. Liu, Min (Max), 2014. "Probabilistic prediction of green roof energy performance under parameter uncertainty," Energy, Elsevier, vol. 77(C), pages 667-674.
    12. Yaolin Lin & Shiquan Zhou & Wei Yang & Chun-Qing Li, 2018. "Design Optimization Considering Variable Thermal Mass, Insulation, Absorptance of Solar Radiation, and Glazing Ratio Using a Prediction Model and Genetic Algorithm," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    13. Wenjing Li & Zhuoyang Sun & Mehdi Makvandi & Qingchang Chen & Jiayan Fu & Lei Gong & Philip F. Yuan, 2023. "The Use of Normative Energy Calculation beyond the Optimum Retrofit Solutions in Primary Design: A Case Study of Existing Buildings on a Campus," Sustainability, MDPI, vol. 15(9), pages 1-19, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brett, Craig & Weymark, John A., 2016. "Voting over selfishly optimal nonlinear income tax schedules with a minimum-utility constraint," Journal of Mathematical Economics, Elsevier, vol. 67(C), pages 18-31.
    2. Gonzalez, Stéphane & Rostom, Fatma Zahra, 2022. "Sharing the global outcomes of finite natural resource exploitation: A dynamic coalitional stability perspective," Mathematical Social Sciences, Elsevier, vol. 119(C), pages 1-10.
    3. Vits, Jeroen & Gelders, Ludo & Pintelon, Liliane, 2006. "Production process changes: A dynamic programming approach to manage effective capacity and experience," International Journal of Production Economics, Elsevier, vol. 104(2), pages 473-481, December.
    4. Rasch, Alexander & Wambach, Achim, 2009. "Internal decision-making rules and collusion," Journal of Economic Behavior & Organization, Elsevier, vol. 72(2), pages 703-715, November.
    5. Sawada, Hiroyuki & Yan, Xiu-Tian, 2004. "Application of Gröbner bases and quantifier elimination for insightful engineering design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 67(1), pages 135-148.
    6. Beltran-Royo, C. & Zhang, H. & Blanco, L.A. & Almagro, J., 2013. "Multistage multiproduct advertising budgeting," European Journal of Operational Research, Elsevier, vol. 225(1), pages 179-188.
    7. Gilboa, Itzhak & Postlewaite, Andrew & Samuelson, Larry, 2016. "Memorable consumption," Journal of Economic Theory, Elsevier, vol. 165(C), pages 414-455.
    8. John Duggan & Joanne Roberts, 2002. "Implementing the Efficient Allocation of Pollution," American Economic Review, American Economic Association, vol. 92(4), pages 1070-1078, September.
    9. Eleftherios Filippiadis & Anastasia Litina, 2022. "A dynamic analysis of the income–pollution relationship in a two-country setting," Economic Change and Restructuring, Springer, vol. 55(2), pages 775-801, May.
    10. John Stachurski, 2009. "Economic Dynamics: Theory and Computation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012774, April.
    11. Raffaella Giacomini & Toru Kitagawa, 2021. "Robust Bayesian Inference for Set‐Identified Models," Econometrica, Econometric Society, vol. 89(4), pages 1519-1556, July.
    12. Depetris Chauvin, Nicolas & Porto, Guido G., 2011. "Market Competition in Export Cash Crops and Farm Income," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126159, International Association of Agricultural Economists.
    13. Wang, Hongxia & Wang, Jianli & Li, Jingyuan & Xia, Xinping, 2015. "Precautionary paying for stochastic improvements under background risks," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 180-185.
    14. Daehoon Nahm & Ha Vu, 2013. "Measuring scale efficiency from a parametric hyperbolic distance function," Journal of Productivity Analysis, Springer, vol. 39(1), pages 83-88, February.
    15. Tina Kao & Flavio Menezes & John Quiggin, 2014. "Optimal access regulation with downstream competition," Journal of Regulatory Economics, Springer, vol. 45(1), pages 75-93, February.
    16. JoonHwan Cho & Thomas M. Russell, 2018. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Papers 1810.03180, arXiv.org, revised May 2023.
    17. Salim, Mir M., 2013. "Revealed objective functions of Microfinance Institutions: Evidence from Bangladesh," Journal of Development Economics, Elsevier, vol. 104(C), pages 34-55.
    18. Kong‐Pin Chen & Szu‐Hsien Ho & Chi‐Hsiang Liu & Chien‐Ming Wang, 2017. "The Optimal Listing Strategies In Online Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(2), pages 421-437, May.
    19. Sergey Kokovin & Alina Ozhegova & Shamil Sharapudinov & Alexander Tarasov & Philip Ushchev, 2024. "A Theory of Monopolistic Competition with Horizontally Heterogeneous Consumers," American Economic Journal: Microeconomics, American Economic Association, vol. 16(2), pages 354-384, May.
    20. Leung, Charles Ka Yui & Chow, Kenneth & Yiu, Matthew & Tam, Dickson, 2010. "House Market in Chinese Cities: Dynamic Modeling, In-Sampling Fitting and Out-of-Sample Forecasting," MPRA Paper 27367, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:36:y:2011:i:3:p:1659-1667. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.