ctbuh.org/papers Title: A Design Optimization Workflow for Tall Buildings Using Parametric Algorithm Authors: Mahjoub Elnimeiri, Professor, Illinois Institute of Technology Mahsa Nicknam, PhD Candidate, Illinois Institute of Technology Subjects: Architectural/Design IT/Computer Science/Software Keywords: Energy Efficiency Environment Optimization Parametric Design Performance Based Design Structure Publication Date: 2011 Original Publication: CTBUH 2011 Seoul Conference Paper Type: 1. 2. 3. 4. 5. 6. Book chapter/Part chapter Journal paper Conference proceeding Unpublished conference paper Magazine article Unpublished © Council on Tall Buildings and Urban Habitat / Mahjoub Elnimeiri; Mahsa Nicknam CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ MS01-01 A design optimization workflow for tall buildings using parametric Algorithm Mahsa Nicknam1, Mahjoub M.Elnimeiri2 Ph.D. Candidate, College of Architecture, Illinois Institute of Technology, Chicago, USA, Email address: [email protected] 1 Professor, College of Architecture, Illinois Institute of Technology, Chicago, USA, Email address: [email protected] 2 Presenter Photo Mahjoub M. Elnimeiri Biography Dr. Mahjoub M. Elnimeiri holds a B. Sc. In Civil Engineering (with Honors) from the University of Khartoum; a D.I.C. and M. Sc. in Structural Engineering from the Imperial College, University of London, London, England and a Ph.D. in Structural Engineering and Structural Mechanics from Northwestern University, Evanston, Illinois, USA. Since his educational completion in 1974, he has been involved in the practice of structural and architectural work of buildings in Chicago, USA and overseas. His expertise is in the areas of structural analysis, design and construction of buildings, and in particular tall buildings, and in the application of computer technology. He is very active and well known in the professional and academic communities. He has been speaker in many conferences and conventions. His publications are directly related to his areas of study, and he is a recipient of the “State of The Art Award” of the American Society of Civil Engineers for the year 1989. Dr Elnimeiri is Chairman of CECI+ Engineers International, Chicago, Illinois, USA. CECI+ is a progressive engineering firm using cutting edge of technology for service provision to its clients. The practice includes structural analysis, design and overseeing construction of very special buildings, primarily tall buildings, at different places in US and overseas. Few of these buildings are located in highly seismic areas. Before beginning his own practice, Dr Elnimeiri worked with Skidmore Owings & Merrill, Chicago from 1979-1990. During his experience at SOM, he worked closely with Architectural Partners in the design development of many outstanding projects. Dr Elnimeiri left SOM as an Associate Partner and Senior Structural Engineer. Dr Elnimeiri is also a full professor, Founder & Director of the PhD Program, at the College of Architecture at Illinois Institute of Technology, Chicago, Illinois, USA. ______________________________________________________________________________________________________________________________________ 561 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ Abstract arch paper is intended to incorporate structural pe erformance and a energy efficiency stra ategies of This resea tall building gs through an a architecturral form gene eration proce ess. The maiin objective is to propose e a basis for a generative design n methodolog gy in order to o develop arc chitectural fo orms of tall buildings that are mance and energy e conse ervation in arrchitecture. optimized both in termss of the strucctural perform e this goal, th he research paper p proposses a digitally-based worrkflow to aid direct interac ction To achieve among ene ergy efficienccy, structurall performancce and forma al design considerations w within the sch hematic design pha ase. By employing the pa arametric mo odeling platfo orms, the stru uctural and e energy efficie ency implication ns of changin ng architectural forms of tall t buildings would be un nderstood byy the architec ct. Some architects may use the e outputs as general g conccept for their designs and d others mayy choose to use u them and how a se ensitive tall building b form m responds to o certain perfformance me etrics. The co ore of this to understa research will w be to define design drriven criteria to focus on the t optimization process. Keywords s: Multi objecctive Optimizzation, Enviro onmental dessign, Genera ative system,, Performancce-based des sign, Parametricc design, Ene ergy efficienccy, Tall buildiings, Genetic c algorithms,, Structural P Performance Introduction The depletin ng energy re esources on earth and th he rising costt of energy are a the most real problem ms in today’ss world. In su uch a conte ext, energy efficient e desiign is becom ming importa ant as we th hink more about energyy conservatio on and the environment. Meanwhile, structure ha as to assume e its place a and directly contribute c to o the building g’s overall en nergy conserrvation strate egy (Elnimeirri and Almusharaf, 2010)). The interes st in efficientt structure within a tall bu uilding highlig ghted by the fact that the e structural co osts constitu ute up to 30% % of the totall n cost of the building, (Fig gure 1) (Elnimeiri and Alm musharaf, 20 010). construction 5 30 40 A Architecture M MEP S Structure 25 E Elevator Sys.. Figure 1. Sttructural costt in relation to o the total bu uilding construction cost (source: Elnimeiri and Allmusharaf, 2010) ______________________________________________________________________________________________________________________________________ 562 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ Today architectural dessign is drive en by the se earch for ex xotic forms that more th hat often lea ad to costlyy n. In the current c tall building dessign practice e, issues pertaining p to o structure and energyy construction conservatio on are typicallly left to be dealt d with aftter the archittectural form is well articu ulated. Hence as a resultt, such an approach may enable a bu uilding to sta and upright, and a may also reduce the e energy con nsumption in n g. It will not yield y solution ns that will pe erform well with w referencce to structurre and energ gy efficiency,, the building (Figure 2). Figure 2. Tall building design d processs The e process sh hows the resu ults are not necessarily n efficient e neith her structurallly nor energy y wise s in n the traditio onal enginee ering analysis s and design n process, th he geometry y is imported d Moreover, sometimes manually in nto Analysis Tools and the t pre-processing is pe erformed by an engineer via the gra aphical userr interface. This T approach takes a lo ot of time wh hen multiple options are e proposed b by the archittect. In such h approach, the engineer will often fin nish a preliminary analysis and begin to communicate the new w scheme to o he design has been radic cally changed d, (Chok and d Donofrio, 2010)(Figure 2 e the architecct, only to find out that th 3). Architecttural design n maybe e subjected d to significa ant change es Figure e 3. Tradition nal Architectu ural design workflow w whic ch maybe yie elds a differe ent architectu ural form t modern era e of archite ectural desig gn of tall build dings, in Chiccago, betwee en 1960 and d It is evident that during the ______________________________________________________________________________________________________________________________________ 563 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ 1975, there was a meaningful collaboration between the architect and the structural engineer. A good example for that is John Hancock Building in Chicago, 1996, (Figure 4). However energy efficiency strategies were never considered in this building. Figure 4. John Hancock Center, Chicago, USA. (Courtesy of Skidmore Owings and Merrill) As mentioned above, the development of tall buildings had been traditionally a product of a close collaboration between the architect and the engineer. Since in the design process, the most important design decisions, those which have the most significant cost impacts, are made at the concept stage of a project, the collaboration between different disciplines within the design team in this stage become very important. Barriers to this collaboration often have resulted in that small and large architectural firms either left the sophisticated modeling of environmental metrics until too late in the design process, or they neglect it altogether (Galasiu and Reinhart, 2007), so as a result they would come up with inefficient architectural form. To address such disconnect, this research paper propose a digitally-based workflow to aid direct interaction among energy efficiency, structural performance and formal design considerations to assist early design activities. Parametric Design Within the last years digital tools have extensively progressed so as to allow the architects to increasingly become involved in an integrative collaborative architectural building design approaches. In these years, digital media is not used as a representational tool for visualization but as a generative tool for the derivation of form and its transformation. Figure 5. Tall Building Generation Process by Parametric Design (Courtesy of Park, 2005) ______________________________________________________________________________________________________________________________________ 564 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ In the last few decades computer simulations have proven to be a powerful digital tool for studying the environmental performance of buildings. By using simulation and analysis tools, it is possible to engage in an architectural design practice that is significantly enhanced by iterative process that depends on feedback from the evaluation of the environmental impact into the architectural design decision making. (shown in Figure 6). Among various digital design approaches, parametric design has become a strong trend in contemporary architectural design practice and education (Day, 2010). The term refers to a practice of digitally modeling a series of design variants whose relationships to each other are defined through one or several mathematical relationship (parameters), then form a parametric space that may comprise of tens or hundreds of related but distinct forms. By relying on parametric values, it becomes possible to associate variables, relations, and dependencies to geometry and structure in the design process (Dominik, Jiwu, Mike & Mark, 2004). This facilitates rapid editing, re-adaptability, and enables useful libraries of scripts and reusable parts for future use. Hence these parametric modeling systems help the architect to rapidly generate and test a large number of design options and variation in the early stage of design by linking the generative tools to structural, energy efficiency analysis and evaluation tools. This approach minimizes performance-based study time and aids the project team in making better informed decisions earlier in the design process. Extending the potential of parametric/associative models to respond to both structural and energy efficiency inputs and performance criteria is the main focus of this research. Figure 6. Parametric modeling processes and solar incidence angle analysis for the Lotte Tower project in Seol, Korea (Courtesy of Skidmore, Owings & Proposed Workflow In this work, we emphasize mainly on a general trend to architectural form design approaches defining mostly the basics of performance strategies of tall buildings. The advantage of parametric design in research application is to plan and synthesize the overall requirements and relationships of many design elements into one form. The convergence of generative tools, analytical solutions and moving away from traditional formdriven approaches are the main achievements. Various parametric modeling platforms have been employed to simply evaluate how changes in architectural forms of a tall building would affect its structural performance as well as its energy efficiency. ______________________________________________________________________________________________________________________________________ 565 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ Figure 7. Conceptual Design approach This research paper demonstrates how a fixable 3D model can be parametrically altered towards targeted solutions with the help of a near real time feedback generated by structural/energy analysis and optimization. The main focus in this work is defining the architectural model in a way to be parametrically reconfigurable while at the same time remains dynamically responsive to performance-based engineering input. The architectural model will be kept in a fluid state allowing for intuitive variations according to the feedback from performance-based data. All different solutions can be analyzed and evaluated according to ones objective and preference. Energy performance analysis, in parallel with structural analysis, is performed on the parametric models through an optimization framework leading to a considerably faster performance-based study. It is shown that, the proposed workflow gives the architect the opportunity to select among different design options based on ones objectives. Using this workflow to simulate environmental and structural performance provides a visualization of results with color mapping, enabling performance to be easily understood by all members of the design team. Figure 8. Proposed Workflow ______________________________________________________________________________________________________________________________________ 566 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ Multi-obje ective optim mization This research paper will focus on Multi-objective M e optimizatio on techniquess in lie single e optimizatio on approach.. ptimization allows direct communicatio c on between multi-disciplinary simulattion software e, Since Multi--objective op it is becomin ng a key facttor in the dessign processs. The propossed workflow w, (Figure 8),, allows integrating the Structural S an nd Energy S Simulation so oftwares into o one design environmentt. The proposed automatted process, as shown in n Figure 9, will allow the achievement a t orm satisfying g the specifie ed optimization objectives. of a final arcchitectural fo Figure 9. Conceptual Framework k for the Prop posed Processs The optimizzation part of o the propossed workflow w will encoun nter more tha an one objective includin ng structurall efficiency and Energy efficiency e objjectives. So in some cas ses we might have conflicting objectives. One off a o using Gen of netic Algorith hm (GAs) is that they alllow true mullti-objective optimization. o . the major advantages Multi-objecttive optimization techniqu ues keep the e objectives separate du uring the opttimization pro ocess ratherr than being collapsed into i a single e, weighted objective function from m the beginning. So in cases with h o the ere will be no o single optim mum result1. conflicting objectives Figure 10. Tall building form ge eneration using Genetic A Algorithm Genetic Alg gorithm manipulates in pa arallel a pop pulation of so olutions, so in n the processs of the optimization the e 1 http://www w. esteco.com m ______________________________________________________________________________________________________________________________________ 567 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ optimal trad de-offs amon ng multiple crriteria can be e found. In th his process the t output is not a single solution butt a Pareto Frrontier (or tra ade-off curve e) of high-perrformance so olutions, which will allow w the architec ct to pick the e point at which he would d like to ope erate or he can c choose to consider a new criterria (Caldas and a Norford,, 2001) (Figure 11). Figure 11. Example E of a Pareto frontier. The boxxed points re epresent feassible choices, and smaller values are preferred to t larger one es. Point C iss not on the Pareto P Frontier because it is dominated by both point p A and point B. Points A and B are not stricctly dominate ed by any oth her, and hencce do lie on tthe frontier.(Courtesy of Wikipedia) ons Conclusio This researrch paper introduced a workflow w that encompass ses a loop off four main p phases of the e procedure,, namely form m generation n, structural performance p evaluation, energy e perfo ormance eva aluation, and optimization n that are to be b conducted d under pred defined criterria. Parametrically archite ectural form generation proved p to be e flexible eno ough that alllows architect to manipulate certain n architecturral design in ntentions to improve the e performance of the tall building witth respect to o structure and a energy efficiency strategies. The T workflow w e architect to o incorporatte structure and energyy developed in this research paper is intended to help the onsiderationss into the arcchitectural fo orm generatio on process. This T will help p the architec ct to achieve e efficiency co a well-round ded performa ance-based architectural design of ta all buildings. In such casse of Multi-o objective op ptimization, structure s and d energy co onsiderationss might have e conflicting g objectives; hence exterm mination of one o goal can n only be ach hieved at the e expense off another. In this processs o se eparate. The e optimizatio on process will w then lead d to a Paretto frontier off it is better to keep all objectives T Ge enetic Algoriithm was cho osen as an optimization o technique in n the propos sed workflow w solutions. Therefore, that manipu ulates in para allel a popula ation of high--performance e solutions. Reference es [1] http://ww ww. esteco.ccom [2] Bazjana ac V. (2001) Acquisition of Building Geometry G in the Simulatio on of Energyy, Presented d at the 2001 Building g Simulation Conference in Rio De Ja aneiro, Brazil. [3] Besseru ud K., Archite ectural Geno omics, Skidm more, Owings s, and Merrilll LLP (BlackB Box Studio). [4] Bourgeo ois D., Reinh hart C. F. an nd Ward G. (2008) A Standard S Dayylight Coefficcient Model for Dynamicc Daylighting Simulatiions , Buildin ng Research & Informatio on 36 (1) pp.6 68 - 82. ______________________________________________________________________________________________________________________________________ 568 CTBUH 2011 World Conference October 10-12, 2011, COEX, Seoul, KOREA _______________________________________________________________________________________________________________________________________ [5] Caldas L. G. and Norford L. K. (2001) A Design Optimization Tool Based on a Genetic Algorithm, Automation Construction, pp. 173 – 184. [6] Caldas L. (2008) Generation of Energy-Efficient Architecture Solutions Applying GENE_ARCH: An Evolution-Based Generative Design System”, Advanced Engineering Informatics 22, pp.59– 70. [7] Caldas L. G. (2001) An Evolution-Based Generative Design System: Improving the Environmental Performance of Buildings. Ph.D. Thesis, Building Technology Program, Dept. Of Architecture, MIT, Cambridge, MA. [8] Caldas L. G. and Norford L. K. (2003) Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems, Journal of Solar Energy Engineering, Vol. 125, pp. 343-351. [9] Caldas L., and Norford L. K. (2001) Architectural Constraints in a Generative Design System: Interpreting Energy Consumption Levels, Proc. of Building Simulation, Int., Building Performance Simulation Association. [10] Caldas L., Norford L., and Rocha, J. (2001) An Evolutionary Model for Sustainable Design, Proc. Passive and Low Energy Architecture (PLEA). [11] Chok K. and Donofrio M. (2003) Abstractions for Information Based Design, International Journal of Architectural Computing, Vol. 08, pp. 223-255. [12] Chok K. and Donofrio M. (2010) Structure at the Velocity of Architecture, ACADIA. [13] Chun Huang Y., Lam K.P., and Dobbs G. M. (2008) A Scalable Lighting Simulation Tool for Integrated Building Design, Third National Conference of IBPSA-USA, Berkeley, California. [14] Elnimeiri M. and Almusharaf A. Structure and Architectural Form of Tall Buildings. Proceeding of the International Conference on Sustainable Building Asia, Seoul, Korea, pp. 54-60. [15] Galasiu A. and Reinhart C. F. (2007) Current Daylighting Design Practice: A Survey. Building Research and Information, 36(2), pp.159-174. [16] Gehry Technologies (2004) Digital ProjectTM, 12541-A Beatrice Street, Los Angeles, California, USA, http://www.gehrytechnologies.com. [17] Krawczyk R. J., Park S. M., and Sharpe D.(2005), Innovative Tall Building Form Development , Council of Tall Buildings and Urban Habitat, CTBUH Conference, New York, NY. [18] Lagios K., Niemasz J. and Reinhart C. F. (2010) Animated BuildingPerformance Simulation (ABPS) – Linking Rhinoceros/Grasshopper with Radiance/Daysim, To be published in the conference proceedings of SimBuild 2010 in August 2010 in New York City. [19] Lam K. P., Chun Huang Y. and Dobbs G. M., Development of a Lighting Simulation Tool for Integrated Building Design, Center for Building Performance and Diagnostics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA. [20] Lam K. P. and Yeang K. (2009) Computational Building Performance Modeling and Ecodesign, Architectural Design, Volume 79, Issue 5, pp. 126–129, 2009. [21] Pan Y., Huang Z, Wu Z. ( 2007)Calibrated Building Energy Simulation and Its Application in a HighRise Commercial Building in Shanghai, Energy and Building 39, pp. 651-657. [22] Park S. M., Elnimeiri M., Sharpe D.C., and Krawczyk R. J. (2004), “Tall Building Form Generation by Parametric Design Process”, CTBUH, Seoul, Korea, pp, 56- 62. [23] [24] Reinhartand C.F. and Wienold J. (August 2010 ) The Delighting Dashboard - A Simulation-Based Design Analysis for Daylit Spaces, Accepted for publication in Building and Environment. [25] Schinable M. A. (2007) Parametric Designing in Architecture, University of Sydney, Australia, A Dong, A Vande Moere & JS Gero (eds), CAAD Futures, pp.237-250. [26] Schlueter A. and Thesseling F. (2009) Building Information Model Based Energy/Exergy Performance Assessment in Early Design Stages”, Automation in Construction 18, 2009, pp. 153– 163. [27] Yi Y. K. and Malkawi A. M. (2009) Optimizing Building Form for Energy Performance Based on Hierarchical Geometry Relation”, Automation in Construction 18, 2009, pp. 825–833. ______________________________________________________________________________________________________________________________________ 569
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