PV Afte and floo <strong>the</strong> con To b by t clus initi algo requ para Orig Changes in <strong>the</strong> “Ground floor radiation plan” (Original, left - Syn<strong>the</strong>seplan - right) The ana and gras nec <strong>from</strong> # More blue in <strong>the</strong> Syn<strong>the</strong>seplan means that more public space is privatised and <strong>the</strong> higher buildings generating more darker in-between spaces take up even more <strong>of</strong> <strong>the</strong> “orange” public space. <strong>Digital</strong> <strong>Urban</strong> <strong>Simulation</strong> | Name <strong>of</strong> <strong>the</strong> project 72 New Methods in <strong>Urban</strong> Analysis and <strong>Simulation</strong> | Final project documentation Chair <strong>of</strong> Information iA Architecture
PV Production Optimization ion ht) ion ht) After <strong>the</strong> analysis <strong>of</strong> both scenarios, we also looked at how parametric analysis and design can help benchmark and / or improve <strong>the</strong> planned intervention. With <strong>the</strong> help <strong>of</strong> <strong>the</strong> Galapagos optimization PV Production Optimization PV Production Optimization tool we took <strong>the</strong> ground floor plan <strong>of</strong> <strong>the</strong> “Syn<strong>the</strong>seplan” proposal, divided each building into several blocks and optimised <strong>the</strong> height <strong>of</strong> <strong>the</strong> blocks for optimal PV gain. In order to still fulfil <strong>the</strong> space requirement After <strong>the</strong> analysis <strong>of</strong> <strong>the</strong> <strong>of</strong> both programme, scenarios, we set also as looked base at condition how parametric that <strong>the</strong> analysis generated and design volume can has help to benchmark equal to <strong>the</strong> and “Syn<strong>the</strong>seplan” / or improve planned proposal intervention. +- a certain With threshold. <strong>the</strong> help <strong>of</strong> <strong>the</strong> Galapagos optimization tool we took <strong>the</strong> ground After <strong>the</strong> analysis <strong>of</strong> both scenarios, we also looked at how parametric analysis and design can help benchmark floor plan <strong>of</strong> <strong>the</strong> “Syn<strong>the</strong>seplan” proposal, divided each building into several blocks and optimized <strong>the</strong> height <strong>of</strong> and / or improve <strong>the</strong> planned intervention. With <strong>the</strong> help <strong>of</strong> <strong>the</strong> Galapagos optimization tool we took <strong>the</strong> ground To <strong>the</strong> floor be blocks plan even for <strong>of</strong> <strong>the</strong> more optimal “Syn<strong>the</strong>seplan” precise PV gain. in In proposal, <strong>the</strong> order generation to still fulfil divided each <strong>of</strong> <strong>the</strong> output space building data, requirement into several we decided <strong>of</strong> <strong>the</strong> programme, blocks and to optimized normalize we <strong>the</strong> <strong>the</strong> set as height resulted base <strong>of</strong> PV condition <strong>the</strong> production that <strong>the</strong> blocks for optimal by generated <strong>the</strong> PV built volume gain. has In order in to to order be equal still fulfil to <strong>the</strong> avoid to <strong>the</strong> “Syn<strong>the</strong>seplan” space bigger requirement effects proposal <strong>of</strong> <strong>of</strong> <strong>the</strong> bigger +- a programme, volumes. certain threshold. we After set as running base simulations condition that on <strong>the</strong> several generated clusters volume we has managed to be equal to to get <strong>the</strong> for “Syn<strong>the</strong>seplan” all <strong>of</strong> <strong>the</strong>m proposal noticeable +- a certain improvements threshold. <strong>of</strong> our benchmark To even more criteria, precise compared in <strong>the</strong> generation to <strong>the</strong> initial <strong>of</strong> output “Syn<strong>the</strong>seplan” data, we decided designs. to normalize Especially <strong>the</strong> resulted in clusters PV production 01 and 02 by <strong>the</strong> built volume in order to avoid bigger effects <strong>of</strong> bigger volumes. After running simulations on several <strong>the</strong>re To be is even a clear more tendency precise in <strong>of</strong> <strong>the</strong> <strong>the</strong> generation optimization <strong>of</strong> output algorithm data, we to decided increase to <strong>the</strong> normalize height <strong>the</strong> in <strong>the</strong> resulted north PV and production decrease clusters we managed to get for all <strong>of</strong> <strong>the</strong>m noticeable improvements <strong>of</strong> our benchmark criteria, compared to <strong>the</strong> it by in <strong>the</strong> built south volume while keeping order to <strong>the</strong> avoid volume bigger in effects <strong>the</strong> required <strong>of</strong> bigger range. volumes. Cluster After 03 running shows simulations a more unpredictable on several initial “Syn<strong>the</strong>seplan” designs. Especially in clusters 01 and 02 <strong>the</strong>re is a clear tendency <strong>of</strong> <strong>the</strong> optimization behaviour clusters we managed to get for all <strong>of</strong> <strong>the</strong>m noticeable improvements <strong>of</strong> our benchmark criteria, compared to <strong>the</strong> algorithm to probably increase because <strong>the</strong> height <strong>of</strong> in <strong>the</strong> <strong>the</strong> high north amount and decrease <strong>of</strong> parameters it in <strong>the</strong> it south had to while adjust. keeping <strong>the</strong> volume in <strong>the</strong> initial “Syn<strong>the</strong>seplan” designs. Especially in clusters 01 and 02 <strong>the</strong>re is a clear tendency <strong>of</strong> <strong>the</strong> optimization required range. Cluster 03 shows a more unpredictable behaviour probably because <strong>of</strong> <strong>the</strong> high amount <strong>of</strong> The algorithm optimization to increase study <strong>the</strong> shows height some in <strong>the</strong> main north methods and decrease how it solar in <strong>the</strong> gain south can while be optimised. keeping <strong>the</strong> However, volume in <strong>the</strong>se parameters it had to adjust. kind required <strong>of</strong> analysis range. Cluster have to 03 be shows viewed a more with unpredictable caution, for <strong>the</strong>y behaviour can distort probably <strong>the</strong> view because on <strong>the</strong> <strong>of</strong> <strong>the</strong> quality high <strong>of</strong> amount a building. <strong>of</strong> parameters very clear it had and to adjust. The optimization study quantifiable shows some results main can methods shadow how o<strong>the</strong>r solar gain aspects can be that optimized. have to However, be taken <strong>the</strong>se into kind account <strong>of</strong> but analysis are have not easily to be viewed to be with grasped. caution, Even for <strong>the</strong>y more, can <strong>the</strong> distort numbers <strong>the</strong> view generated on <strong>the</strong> quality can <strong>of</strong> have a building. a strong The very impact clear on The optimization study shows some main methods how solar gain can be optimized. However, <strong>the</strong>se kind <strong>of</strong> decision and quantifiable makers results that are can not shadow necessarily o<strong>the</strong>r aspects architecturally that have gifted to be and taken lead into to account planning but decisions are not easily that to hinder be analysis have to be viewed with caution, for <strong>the</strong>y can distort <strong>the</strong> view on <strong>the</strong> quality <strong>of</strong> a building. The very clear architecturally grasped. Even and quantifiable valuable more, <strong>the</strong> results can projects numbers shadow <strong>from</strong> generated o<strong>the</strong>r being aspects built. can have a strong impact on decision makers that are not that have to be taken into account but are not easily to be necessarily architecturally gifted and lead to planning decisions that hinder architecturally valuable projects grasped. Even more, <strong>the</strong> numbers generated can have a strong impact on decision makers that are not <strong>from</strong> being built. necessarily architecturally gifted and lead to planning decisions that hinder architecturally valuable projects <strong>from</strong> being built. PV energy PV / V ter ni PV enerrgy ni PV / V ri PV energy ri PV / V improvement improvement PV energy PV / V # MWh kWh / m3 MWh kWh / m3 % % ter ni PV enerrgy ni PV / V ri PV energy ri PV / V improvement improvement # MWh kWh / m3 MWh kWh / m3 % % 1 2,120 5.486 2,260 5.88 6.603773585 7.18 2 1,850 6.547 2,080 7.55 12.43243243 15.32 1 2,120 5.486 2,260 5.88 6.603773585 7.18 3 1,210 5.236 1,690 8.044 39.66942149 53.63 2 1,850 6.547 2,080 7.55 12.43243243 15.32 3 1,210 5.236 1,690 8.044 39.66942149 53.63 Original Design, Cluster 01 Original Design, Cluster 01 Original Design, Cluster 01 9/13 New Methods in <strong>Urban</strong> Analysis and <strong>Simulation</strong> | Final project documentation 73 9/13
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