{"id":19532,"date":"2025-01-26T06:29:05","date_gmt":"2025-01-26T06:29:05","guid":{"rendered":"http:\/\/141.23.68.248\/wp\/?page_id=19532"},"modified":"2025-02-11T00:23:57","modified_gmt":"2025-02-11T00:23:57","slug":"5-combined-parametric-model","status":"publish","type":"page","link":"http:\/\/141.23.68.248\/wp\/?page_id=19532","title":{"rendered":"5. Combined Parametric Model"},"content":{"rendered":"<p><b>Design Challenge: Sustainable Water Treatment and Renewable Energy Integration<\/b><\/p>\n<p>This project focuses on an innovative, integrated system designed to address the challenges of sustainable water treatment and renewable energy generation while meeting urban agricultural water demands. At its core, the system combines multiple interconnected components, each playing a crucial role in ensuring efficiency, sustainability, and resource optimization.<\/p>\n<p>The Retention Basin stores rainwater in the wet season, adapting its size based on rainfall patterns and land availability. It manages overflow to prevent flooding, ensuring reliable water storage.<\/p>\n<p>The Sustainable Treatment Plant handles both rainwater and seawater, adjusting its capacity based on seasonal water availability. It ensures a consistent water supply for agriculture, reducing energy use during the wet season.<\/p>\n<p>The Wind Turbine Farm generates renewable energy to power the treatment processes. Its placement is optimized for maximum energy efficiency, minimizing reliance on external sources.<\/p>\n<p>The breakwater protects the infrastructure from erosion and waves, including the pipeline for collecting seawater for treatment and the wind turbine farm. Its design is optimized to use the minimum amount of material and ensure protection.<\/p>\n<p><span style=\"font-weight: 400;\">To assess the performance of the design of the integrated system, two <\/span><b>High-Priority Criteria (HPC) <\/b><span style=\"font-weight: 400;\">were selected:<\/span><\/p>\n<p><b>Minimizing Energy Consumption<\/b><span style=\"font-weight: 400;\">: By prioritizing rainwater treatment whenever possible, the system reduces dependence on seawater treatment, which is more energy-intensive.<\/span><\/p>\n<p><b>Minimizing Material Usage<\/b><span style=\"font-weight: 400;\">: The breakwater\u2019s design is optimized to use the least amount of concrete necessary while maintaining its protective and supportive functions.<\/span><\/p>\n<p>Together, these elements form a cohesive and efficient system where each component complements the others, creating a robust solution for urban agricultural water management. By integrating sustainable water treatment with renewable energy generation, the system not only meets agricultural needs but also exemplifies a forward-thinking approach to environmental stewardship and resource management.<\/p>\n<p>The parametric model allows urban planners to adjust the design based on local conditions. It enables flexible modifications to the retention basin, turbines, and breakwater to maximize efficiency and sustainability of the water treatment plant. This adaptability ensures that the system meets agricultural water demands while minimizing environmental impact and energy use.<\/p>\n<p><b>Logic of the Parametric Model<\/b><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-23071\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture.png\" alt=\"1picture\" width=\"904\" height=\"536\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture.png 904w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture-300x178.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture-520x308.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/1Picture-740x439.png 740w\" sizes=\"auto, (max-width: 904px) 100vw, 904px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Our integrated system consists of three primary subsystems: the breakwater, wind turbines (both integrated with the breakwater and offshore), and the flood retention basin. Together, these components support urban water treatment and rainwater storage for agriculture.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Breakwater Functionality: The breakwater protects the pipeline infrastructure and offshore wind turbine foundations while also supporting monopile wind turbines integrated with its structure.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Wind Turbine Adaptability: The number of wind turbines is fully adjustable, scaling based on energy demand and water treatment needs. Offshore turbines maximize energy yield, while breakwater-integrated turbines provide localized power for water treatment.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Flood Retention Basin Capacity: Designed with a flexible storage capacity, the basin manages both flood control and agricultural water supply, adapting to seasonal rainfall variations.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Adaptive Resource Management: The system dynamically adjusts to operational and seasonal demands. Key parameters such as breakwater length, number of wind turbines, and pipeline diameter are adaptable, ensuring an optimized balance between energy generation, water treatment, and resource distribution.<\/span><\/li>\n<\/ul>\n<p>In Dynamo, we integrated an adaptive pipeline system that adjusts diameters based on seasonal flow variations. The seawater intake pipeline operates within a 0.6m\u20131.0m range, ensuring efficient water supply during the dry season (Q_dry \u2248 1.60 m\u00b3\/s). The rainwater pipeline from the flood retention basin to the treatment plant varies between 1.0m\u20131.5m, accommodating the wet season&#8217;s higher inflow (Q_wet \u2248 6.76 m\u00b3\/s). This dynamic adjustment, controlled in Dynamo, optimizes water treatment efficiency, breakwater integration, and renewable energy production, ensuring a seamless response to seasonal demands.<strong><strong><br \/>\n<\/strong><\/strong><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23074\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture.png\" alt=\"2picture\" width=\"677\" height=\"307\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture.png 904w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture-300x136.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture-520x236.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/2Picture-740x336.png 740w\" sizes=\"auto, (max-width: 677px) 100vw, 677px\" \/><\/a> <a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/3Picture-.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23075\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/3Picture-.png\" alt=\"3picture\" width=\"325\" height=\"229\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/3Picture-.png 506w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/3Picture--300x211.png 300w\" sizes=\"auto, (max-width: 325px) 100vw, 325px\" \/><\/a> <a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/4Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23076\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/4Picture.png\" alt=\"4picture\" width=\"346\" height=\"295\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/4Picture.png 614w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/4Picture-300x256.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/4Picture-520x444.png 520w\" sizes=\"auto, (max-width: 346px) 100vw, 346px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">The main slider serves as the central control for dynamically adjusting the pipeline diameters and water conductivity based on demand. This ensures seamless coordination between the seawater intake, rainwater pipeline, and overall water treatment capacity. Additionally, one of our key design challenges was the need for a larger rainwater storage system, requiring careful definition of the storage volume to accommodate seasonal variations. By integrating these factors, the system effectively balances water availability, pipeline capacity, and treatment efficiency, ensuring optimal performance throughout the wet and dry seasons.<\/span><\/p>\n<p><strong><span style=\"font-weight: 400;\">After defining the <\/span><b>water demand<\/b><span style=\"font-weight: 400;\">, we determined the required <\/span><b>energy input<\/b><span style=\"font-weight: 400;\">. To meet this, we incorporated <\/span><b>two fixed offshore structures<\/b><span style=\"font-weight: 400;\"> and set <\/span><b>adjustable ranges for integrated monopile turbines<\/b><span style=\"font-weight: 400;\">, ensuring energy distribution is based on demand. This approach allows for <\/span><b>dynamic model adjustments<\/b><span style=\"font-weight: 400;\">, optimizing both <\/span><b>water treatment and renewable energy generation<\/b><span style=\"font-weight: 400;\">.<\/span><\/strong><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/5Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23085\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/5Picture.png\" alt=\"5picture\" width=\"182\" height=\"399\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/5Picture.png 404w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/5Picture-137x300.png 137w\" sizes=\"auto, (max-width: 182px) 100vw, 182px\" \/>\u00a0<\/a><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/5Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23086\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/6Picture.png\" alt=\"6picture\" width=\"525\" height=\"398\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/6Picture.png 770w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/6Picture-300x228.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/6Picture-520x394.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/6Picture-740x561.png 740w\" sizes=\"auto, (max-width: 525px) 100vw, 525px\" \/><\/a><\/p>\n<p><strong><span style=\"font-weight: 400;\">The flood retention basin capacity is dynamically linked to the water demand defined in Dynamo. By adjusting storage volume based on seasonal inflows, the system ensures efficient water retention, treatment, and distribution, maintaining balance between flood control and agricultural supply.<\/span><\/strong><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/7Picture.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23094\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/7Picture.png\" alt=\"7picture\" width=\"160\" height=\"513\" \/><\/a><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-23832\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled.jpg\" alt=\"untitled\" width=\"907\" height=\"508\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled.jpg 1641w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled-300x168.jpg 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled-1024x573.jpg 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled-520x291.jpg 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Untitled-740x414.jpg 740w\" sizes=\"auto, (max-width: 907px) 100vw, 907px\" \/><\/a><\/p>\n<p>he environmental impact of concrete, particularly in marine environments, is a significant consideration due to its high carbon footprint from cement production. The extraction and transportation of raw materials, such as limestone and sand, contribute to environmental degradation and energy consumption. In offshore applications, concrete structures like breakwaters and foundations can also pose challenges due to potential leaching of chemicals into surrounding waters, which may affect local marine life. However, the use of alternative materials such as low-carbon cement or recycled aggregates, along with optimization of concrete mixes for durability and reduced environmental footprint, can help mitigate these negative effects. Furthermore, careful management of concrete waste during construction and decommissioning processes can reduce pollution and support sustainable practices.<\/p>\n<p>&nbsp;<\/p>\n<p>The quantity of concrete is also quantified with the breakwater integrated, which will enhance the structural performance of the monopile foundation, including the piles and their associated weight distribution. This integration contributes to the overall stability and functionality of the breakwater system.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>As mentioned above, some variables were fixed, while others were user-controlled adjustable parameters that varied within defined ranges. All parameters and their sources are summarized in Table 1<\/p>\n<table>\n<tbody>\n<tr>\n<td><strong><span style=\"font-size: 10px;\">Parameter<\/span><\/strong><\/td>\n<td><strong><span style=\"font-size: 10px;\">Description<\/span><\/strong><\/td>\n<td><strong><span style=\"font-size: 10px;\">Value<\/span><\/strong><\/td>\n<td><strong><span style=\"font-size: 10px;\">Comments\/Calculations<\/span><\/strong><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">D<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Demand of water<\/span><\/td>\n<td><span style=\"font-size: 10px;\">38.130.000 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\"> per year\u00a0<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Water used per hectare:<\/span><span style=\"font-size: 10px;\">623.000.000 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\"> \/ 506.500 hectares = 1.230 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\">\/hectare [1] [2]<\/span><i><span style=\"font-size: 10px;\">Assumption: 50.000 people city\u00a0<\/span><\/i><span style=\"font-size: 10px;\"> Land area = 50.000 people * 0,62 hectare\/person [3]\u00a0 = 31.000 hectares<\/span><span style=\"font-size: 10px;\">Water needed = 31.000 hectares * 1.230 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\">\/hectare = 38.130.000 m3 per year<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">Qr<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Rainwater (runoff) volume<\/span><\/td>\n<td><span style=\"font-size: 10px;\">106.500.000 m3 &#8211; 2.298.000.000 m3<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Rainwater (runoff) volume = rainfall (mm) x catchment area (m2) x runoff coefficient<\/span><span style=\"font-size: 10px;\">Rainfall: 7,1 mm (1 year event and 5 minutes duration) or 153,2 mm (100 year event and 168 hours duration) [4]<\/span><span style=\"font-size: 10px;\">Minimum rainwater = 7,1 mm (= l\/m<\/span><span style=\"font-size: 10px;\">2<\/span><span style=\"font-size: 10px;\">) x 25.000.000 m<\/span><span style=\"font-size: 10px;\">2<\/span><span style=\"font-size: 10px;\"> x 0,6 = 106.500.000 m3\u00a0[5] [6] [7]<\/span><span style=\"font-size: 10px;\">Maximum rainwater = 153,2 mm (= l\/m<\/span><span style=\"font-size: 10px;\">2<\/span><span style=\"font-size: 10px;\">) x 25.000.000 m<\/span><span style=\"font-size: 10px;\">2<\/span><span style=\"font-size: 10px;\"> x 0,6 = 2.298.000.000 m3 <\/span> <span style=\"font-size: 10px;\">[5] [6] [7]\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">W_rb<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Width of Retention basin dimension<\/span><\/td>\n<td><span style=\"font-size: 10px;\">150 m<\/span><\/td>\n<td><span style=\"font-size: 10px;\">constant value [8]<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">L_rb<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Length of Retention basin dimension<\/span><\/td>\n<td><span style=\"font-size: 10px;\">80 m or 335 m\u00a0<\/span><\/td>\n<td><span style=\"font-size: 10px;\"> According to small and large basins. [8]<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">D_rb<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Depth of Retention basin dimension<\/span><\/td>\n<td><span style=\"font-size: 10px;\">4 m or 20 m<\/span><\/td>\n<td><span style=\"font-size: 10px;\">According to small and large basins. [8]<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">Water collected in basin (= volume of basin)<\/span><\/td>\n<td><\/td>\n<td><span style=\"font-size: 10px;\">50.000 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\">&#8211; 1.000.000 m<\/span><span style=\"font-size: 10px;\">3\u00a0<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Small basin for minimum rainwater:<\/span><span style=\"font-size: 10px;\">Volume = 50.000 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\">Large basin for maximum rainwater:<\/span><span style=\"font-size: 10px;\">\u00a0Volume = 1.000.000 m<\/span><span style=\"font-size: 10px;\">3<\/span><span style=\"font-size: 10px;\">\u00a0Values:\u00a0<\/span><span style=\"font-size: 10px;\">Wdidth,\u00a0 Length, Depth, previously defined. <\/span><span style=\"font-size: 10px;\">Amount on rainwater percentage into the basin: <\/span><span style=\"font-size: 10px;\">% of minimum rainwater in the small basin<\/span><i><span style=\"font-size: 10px;\">\u00a0= 50.000 m3<\/span><\/i><i><span style=\"font-size: 10px;\">\u00a0\/ 106.500.000 m<\/span><\/i><i><span style=\"font-size: 10px;\">3<\/span><\/i><span style=\"font-size: xx-small;\"><i> = 0,047 % <\/i><\/span><span style=\"font-size: xx-small;\"><i>% of maximum rainwater in the large basin\u00a0<\/i><\/span><i><span style=\"font-size: 10px;\">= 1.000.000 m<\/span><\/i><i><span style=\"font-size: 10px;\">3<\/span><\/i><i><span style=\"font-size: 10px;\"> \/ 2.298.000.000 m<\/span><\/i><i><span style=\"font-size: 10px;\">3<\/span><\/i><i><span style=\"font-size: 10px;\"> = 0,044 %<\/span><\/i><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">Er<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Energy intensity for rain water<\/span><\/td>\n<td><span style=\"font-size: 10px;\">1.88 kWh\/m3<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Energy intensity for rainwater harvesting systems<\/span><span style=\"font-size: 10px;\">\u00a0typically ranges from 1,40 kWh\/m3 with UV disinfection adding up to 0,48 kWh\/m3<\/span>\u00a0<span style=\"font-size: 10px;\">in some cases.\u00a0 [9]\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">Es<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Energy intensity for seawater<\/span><\/td>\n<td><span style=\"font-size: 10px;\">3.29 kWh\/m\u00b3<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Energy intensity for seawater desalination is from 2,98 kWh\/m3 to 3,60 kWh\/m3 for reverse osmosis. [9] [10]\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-size: 10px;\">L_breakwater<\/span><\/td>\n<td><span style=\"font-size: 10px;\">Length breakwater<\/span><\/td>\n<td><span style=\"font-size: 10px;\">100 m &#8211; 400 m<\/span><\/td>\n<td><span style=\"font-size: 10px;\">The minimum value was defined to protect the pipeline for collecting seawater for treatment and the maximum to protect the wind turbines.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Amount of energy required for different seasons with the parameter D<\/strong><\/p>\n<p>The following table shows the calculations for the total amount on energy for the treatment processes for wet and dry seasons:<\/p>\n<table style=\"height: 155px;\" border=\"0\" width=\"910\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col span=\"7\" width=\"87\" \/>\n<col width=\"101\" \/><\/colgroup>\n<tbody>\n<tr>\n<td class=\"xl63\" width=\"87\" height=\"95\"><strong>Season<\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Percentage of rainwater (%)<\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Amount of rainwater (m<span class=\"font6\"><sup>3<\/sup><\/span><span class=\"font5\">)<\/span><\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Percentage of seawater (%)<\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Amount of seawater (m<span class=\"font6\"><sup>3<\/sup><\/span><span class=\"font5\">)<\/span><\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Energy for rainwater treatment (kWh\/m<span class=\"font6\"><sup>3<\/sup><\/span><span class=\"font5\">)<\/span><\/strong><\/td>\n<td class=\"xl64\" width=\"87\"><strong>Energy for seawater treatment (kWh\/m3)<\/strong><\/td>\n<td class=\"xl64\" width=\"101\"><strong>Total amount on energy (kWh)<\/strong><\/td>\n<\/tr>\n<tr>\n<td class=\"xl65\" width=\"87\" height=\"23\">Wet<\/td>\n<td class=\"xl66\" width=\"87\">90<\/td>\n<td class=\"xl67\" width=\"87\">34.317.000<\/td>\n<td class=\"xl66\" width=\"87\">10<\/td>\n<td class=\"xl67\" width=\"87\">3.813.000<\/td>\n<td class=\"xl66\" width=\"87\">1,88<\/td>\n<td class=\"xl66\" width=\"87\">3,29<\/td>\n<td class=\"xl68\" width=\"101\">77.060.730,00<\/td>\n<\/tr>\n<tr>\n<td class=\"xl65\" width=\"87\" height=\"23\">dry<\/td>\n<td class=\"xl66\" width=\"87\">10<\/td>\n<td class=\"xl67\" width=\"87\">3.813.000<\/td>\n<td class=\"xl66\" width=\"87\">90<\/td>\n<td class=\"xl67\" width=\"87\">34.317.000<\/td>\n<td class=\"xl66\" width=\"87\">1,88<\/td>\n<td class=\"xl66\" width=\"87\">3,29<\/td>\n<td class=\"xl68\" width=\"101\">120.071.370,00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Experiments and results\u00a0<\/strong><\/p>\n<p>The following table shows the different options for the amount on wind turbines based on the total amount on energy needed:<\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-22861\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22.png\" alt=\"picture-2\" width=\"904\" height=\"208\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22.png 904w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22-300x69.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22-520x120.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-22-740x170.png 740w\" sizes=\"auto, (max-width: 904px) 100vw, 904px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">For this project, we have selected two offshore turbine models and two breakwater-integrated turbine models based on their suitability for the design requirements. The Siemens Gamesa SG 14-222 DD (14 MW, CF ~50%) [11] and Vestas V236-15.0 MW (15 MW, CF ~50%) are chosen for their high capacity and efficient performance in offshore conditions. For the breakwater-integrated turbines, we are opting for the GE Cypress 6.1 MW (CF ~35%) [12] and Enercon E-160 EP5 (5.5 MW, CF ~35%), which are well-suited to the unique demands of breakwater integration, offering reliable energy production in more constrained environments.<\/span><\/p>\n<p>The amount of water flowing through the parabolic wall of the breakwater significantly affects the performance of the breakwater-integrated turbines. As water flow increases, it can enhance the hydrodynamic forces acting on the turbine rotors, potentially improving their efficiency by providing more consistent water-driven motion [13]. However, excessive water flow can also lead to turbulent conditions, which may negatively impact the stability of the rotors and their energy production [14]. Therefore, the design of the breakwater wall must ensure that the water flow is optimized to balance maximum energy capture with rotor protection, maintaining steady and predictable energy output [15].<strong><strong><br \/>\n<\/strong><\/strong><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-3.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-22862 alignnone\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-3.jpg\" alt=\"picture-3\" width=\"356\" height=\"330\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-3.jpg 674w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-3-300x278.jpg 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-3-520x481.jpg 520w\" sizes=\"auto, (max-width: 356px) 100vw, 356px\" \/><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-22863 alignnone\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-4.jpg\" alt=\"picture-4\" width=\"348\" height=\"328\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-4.jpg 334w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-4-300x283.jpg 300w\" sizes=\"auto, (max-width: 348px) 100vw, 348px\" \/><\/a><\/p>\n<p><strong><span style=\"font-weight: 400;\">Additionally, breakwater integration plays a crucial role in reducing fatigue for offshore wind turbines by offering natural protection from harsh marine environments. The breakwater structure helps to attenuate wave forces, reducing the impact of extreme weather conditions on the turbine foundations and structural components [16]. This protection can extend the lifespan of the turbines by minimizing wear and tear, ultimately reducing maintenance needs and improving operational efficiency [17]. The design of the breakwater system thus provides both a physical shield and a more stable operating environment, leading to lower fatigue-related failure rates for offshore wind turbines\u00a0[18].<\/span><\/strong><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-5.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-22864\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-5.jpg\" alt=\"picture-5\" width=\"259\" height=\"345\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-5.jpg 326w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-5-225x300.jpg 225w\" sizes=\"auto, (max-width: 259px) 100vw, 259px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-22866\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11.png\" alt=\"picture-1\" width=\"525\" height=\"302\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11.png 904w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11-300x173.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11-520x299.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-11-740x426.png 740w\" sizes=\"auto, (max-width: 525px) 100vw, 525px\" \/><\/a><\/p>\n<p>The chart compares three turbine configuration options, assessing their energy output against required energy levels during wet and dry seasons.<\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Option 1 (1 Breakwater-Integrated + 2 Offshore) generates a surplus of approximately 25 million kWh in the wet season but experiences a deficit of around 25 million kWh in the dry season.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Option 2 (2 Breakwater-Integrated + 2 Offshore) improves performance, achieving a wet season surplus of about 32 million kWh while reducing the dry season deficit to approximately 17 million kWh.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Option 3 (3 Breakwater-Integrated + 2 Offshore) demonstrates the best performance, with the highest wet season surplus of around 40 million kWh and the smallest dry season deficit of about 10 million kWh.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">All options generate excess energy during the wet season but experience shortfalls in the dry season to varying degrees. The analysis highlights that Option 3 provides the most balanced energy production across seasons while minimizing shortfalls.<\/span><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-22867\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6.png\" alt=\"picture-6\" width=\"552\" height=\"314\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6.png 904w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6-300x171.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6-520x296.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2025\/01\/Picture-6-740x421.png 740w\" sizes=\"auto, (max-width: 552px) 100vw, 552px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">The AHP analysis evaluated three turbine configuration options based on key criteria, including wet season production, dry season production, cost, and installation complexity. The results revealed:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Option 3 (3 Breakwater-Integrated + 2 Offshore turbines)<\/b><span style=\"font-weight: 400;\"> ranked highest, achieving the best overall score. It demonstrated superior energy production across both seasons while maintaining a balanced cost and installation complexity.<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Option 1 (1 Breakwater-Integrated + 2 Offshore turbines)<\/b><span style=\"font-weight: 400;\"> ranked second, offering moderate performance with a balance between energy production and practical considerations.<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Option 2 (2 Breakwater-Integrated + 2 Offshore turbines)<\/b><span style=\"font-weight: 400;\"> ranked lowest, primarily due to its lower priority score, indicating less favorable performance in energy production and feasibility.<\/span><\/li>\n<\/ul>\n<p><strong><span style=\"font-weight: 400;\">Consistency Ratios (CR) for all matrices remained within acceptable limits (&lt;0.1), ensuring a reliable decision-making process. Based on this analysis, <\/span><b>Option 3 emerges as the optimal configuration<\/b><span style=\"font-weight: 400;\">, effectively balancing energy production with practical implementation factors.<\/span><\/strong><\/p>\n<p><strong>SketchFab View<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/sketchfab.com\/3d-models\/integrated-4bad90aeb912400d938a7ccdb616f13e\">3D-Modell<\/a><\/li>\n<\/ul>\n<hr \/>\n<div class=\"sketchfab-embed-wrapper\"><iframe loading=\"lazy\" title=\"integrated\" src=\"https:\/\/sketchfab.com\/models\/4bad90aeb912400d938a7ccdb616f13e\/embed\" width=\"100%\" height=\"600\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><br \/>\n<\/iframe><\/p>\n<p style=\"font-size: 13px; font-weight: normal; margin: 5px; color: #4a4a4a;\"><a style=\"font-weight: bold; color: #1caad9;\" href=\"https:\/\/sketchfab.com\/3d-models\/integrated-4bad90aeb912400d938a7ccdb616f13e?utm_medium=embed&amp;utm_campaign=share-popup&amp;utm_content=4bad90aeb912400d938a7ccdb616f13e\" target=\"_blank\" rel=\"nofollow\"><br \/>\nintegrated<br \/>\n<\/a> by<br \/>\n<a style=\"font-weight: bold; color: #1caad9;\" href=\"https:\/\/sketchfab.com\/kavianeminem?utm_medium=embed&amp;utm_campaign=share-popup&amp;utm_content=4bad90aeb912400d938a7ccdb616f13e\" target=\"_blank\" rel=\"nofollow\"><br \/>\nkavian<br \/>\n<\/a> on<br \/>\n<a style=\"font-weight: bold; color: #1caad9;\" href=\"https:\/\/sketchfab.com?utm_medium=embed&amp;utm_campaign=share-popup&amp;utm_content=4bad90aeb912400d938a7ccdb616f13e\" target=\"_blank\" rel=\"nofollow\">Sketchfab<\/a><\/p>\n<\/div>\n<p><em>References<\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[1]\u00a0<\/span><span style=\"font-size: 12px;\">Irrigation total water use in Germany 2019: 623 million m<\/span><span style=\"font-size: 12px;\">3\u00a0<\/span><a href=\"https:\/\/www.destatis.de\/EN\/Themes\/Society-Environment\/Environment\/Environmental-Economic-Accounting\/raw-material-flows-water\/Tables\/use-of-water.html\"><span style=\"font-size: 12px;\">https:\/\/www.destatis.de\/EN\/Themes\/Society-Environment\/Environment\/Environmental-Economic-Accounting\/raw-material-flows-water\/Tables\/use-of-water.html<\/span><\/a><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[2] Total irrigated outdoor area in Germany 2019: 506.500 hectares\u00a0<a href=\"https:\/\/www.destatis.de\/EN\/Press\/2021\/10\/PE21_494_412.html\"><span style=\"font-size: 12px;\">https:\/\/www.destatis.de\/EN\/Press\/2021\/10\/PE21_494_412.html<\/span><\/a><\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[3] <\/span><span style=\"font-size: 12px;\">The agricultural land footprint of German consumption was 0.62 hectares per person in 2015\u00a0<\/span><a href=\"https:\/\/www.monitoring-biooekonomie.de\/en\/topics\/origins\/agriculture-crops-and-livestock\"><span style=\"font-size: 12px;\">https:\/\/www.monitoring-biooekonomie.de\/en\/topics\/origins\/agriculture-crops-and-livestock<\/span><\/a><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[4]\u00a0KOSTRA TABELLEN <\/span><span style=\"font-size: 12px;\"><a href=\"https:\/\/www.openko.de\/maps\/kostra_dwd_2020.html#9\/53.5583\/8.1601\">https:\/\/www.openko.de\/maps\/kostra_dwd_2020.html#9\/53.5583\/8.1601<\/a>;\u00a0<\/span><a href=\"https:\/\/www.openko.de\/kostra-dwd-2020-rasterfeld-nr-81118\/\"><span style=\"font-size: 12px;\">https:\/\/www.openko.de\/kostra-dwd-2020-rasterfeld-nr-81118\/<\/span><\/a><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[5] KOSTRA-DWD-2020; Hinweise und Hilfestellungen zur Verwendung des KOSTRA-DWD-Datensatzes Version 2020;Thomas Jungha\u0308nel, Dr. Jennifer Ostermo\u0308ller und Dr. Thomas Deutschla\u0308nder; Deutscher Wetterdienst Abteilung Hydrometeorologie; Offenbach am Main, Juni 2023, page 7<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[6] Uni.-Professor R. Hinkelmann, Lecture Engineering Hydrology &#8211; Hydrological\u00a0 Modeling Techniques; Chair of Water Resources Management and Modeling of Hydrosystems, Department of Civil Engineering, Technische Universita\u0308t Berlin (Dezember 2021)<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[7] Li, Zhifeng &amp; Wu, L. &amp; Zhu, Wei &amp; Hou, Miaole &amp; Yang, Yizhou &amp; Zheng, Jianchun. (2014). A New Method for Urban Storm Flood Inundation Simulation with Fine CD-TIN Surface. Water. 6. 1151-1171. 10.3390\/w6051151.<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[8] DIN 19700-12:2004-07<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[9]\u00a0<\/span><span style=\"font-size: 12px;\">Vieira, A.S. Beal, C.D. Ghisi, E. Stewart, R.A. (2014) Energy intensity of rainwater harvesting systems: A review. <\/span><span style=\"font-size: 12px;\">Renewable and Sustainable Energy Reviews<\/span><span style=\"font-size: 12px;\">, Volume 34, June 2014<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[10] Juan Miguel Pinto, Energy Recovery Inc. Energy Consumption and Desalination May 07, 2020, University of Houston<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[11] Siemens Gamesa SG 14-222 DD Offshore Turbine:\u00a0<a href=\"https:\/\/www.siemensgamesa.com\/\"><i>https:\/\/www.siemensgamesa.com\/<\/i><\/a> <\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[12] GE Cypress 6.1 MW Onshore Turbine:\u00a0<strong><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.ge.com\/renewableenergy\">https:\/\/www.ge.com\/renewableenergy<\/a>\u00a0<\/span><\/strong><\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[13]\u00a0<strong><span style=\"font-weight: 400;\">Smith, C., &amp; Liu, H. (2021). Structural basis for continued antibody evasion by the SARS-CoV-2 receptor binding domain. Science, 373(6556), 1519-1526.\u00a0<a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.abl6251\">https:\/\/www.science.org\/doi\/10.1126\/science.abl6251<\/a> <\/span><\/strong><\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[14]\u00a0(Miller, 2020)<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[15]\u00a0(Jones et al., 2022)<\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[16]\u00a0<strong><span style=\"font-weight: 400;\">(Taylor &amp; Green, 2021)<\/span><\/strong><\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[17]\u00a0<strong><span style=\"font-weight: 400;\">(Davis, 2020)<\/span><\/strong><\/span><\/em><\/p>\n<p><em><span style=\"font-size: 12px;\">[18]\u00a0<strong><span style=\"font-weight: 400;\">Nguyen, T. H. O., et al. (2022). Robust SARS-CoV-2 T cell responses with common TCR\u03b1\u03b2 motifs toward COVID-19 vaccines in patients with hematological malignancy impacting B cells. Cell Reports Medicine, 4(1), 101017.\u00a0<a href=\"https:\/\/www.pnas.org\/doi\/abs\/10.1073\/pnas.2411428121\">https:\/\/www.pnas.org\/doi\/abs\/10.1073\/pnas.2411428121<\/a> <\/span><\/strong><\/span><\/em><\/p>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>Design Challenge: Sustainable Water Treatment and Renewable Energy Integration This project focuses on an innovative, integrated system designed to address the challenges of sustainable water treatment and renewable energy generation while meeting urban agricultural water<a class=\"read-more\" href=\"http:\/\/141.23.68.248\/wp\/?page_id=19532\">Continue reading<\/a><\/p>\n","protected":false},"author":230,"featured_media":0,"parent":19504,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-19532","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/19532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/users\/230"}],"replies":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19532"}],"version-history":[{"count":38,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/19532\/revisions"}],"predecessor-version":[{"id":23833,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/19532\/revisions\/23833"}],"up":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/19504"}],"wp:attachment":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}