The City of Abu Dhabi faced a challenge: its primary transport model, focused on cars, used large analytical zones that could not accurately capture short trips by bikes or scooters. To make data-driven decisions on new cycle paths and walking routes, the city needed a way to forecast micromobility demand and encourage a vital shift from car use. To solve this, citiME Consultancy LLC utilized Bentley OpenPaths CUBE to develop an automated Local Area Model (LAM). This solution automatically created high-resolution zones and built dedicated networks for cycling and walking routes. Crucially, it incorporated an advanced route choice model, allowing planners to test the impact of policies (e.g., car parking restrictions) to determine the potential shift to active travel. This automation made planning significantly more efficient and evidence-based. The enhanced model is now the foundation for Abu Dhabi’s sustainable planning, directly supporting SDG 11 (Sustainable Cities and Communities): it enables the planning of safe, attractive routes, actively promoting exercise and a shift to active travel modes. It generates data for environmental and cost-benefit analyses, allowing the city to forecast and maximize CO2 reduction and justify sustainable investments. The automated scenario comparison makes decision-making faster and leads to better, more equitable infrastructure planning. The project ensures every new piece of active transport infrastructure is grounded in accurate data, leading to a healthier, more sustainable urban environment.

Flux Energy Solutions, working in Manisa, Türkiye, tackled the complex challenge of sustainably managing the 69.5 MW Caferbey Geothermal Field. Geothermal energy is only truly renewable if thermal drawdown is prevented. Using Bentley Volsung’s software, the team compressed a 60-month modeling project into just 12 months, achieving over 500% efficiency gain and a 76% cost reduction (saving ~$760,000). Volsung’s integrated MINC modeling enabled the creation of a high-fidelity numerical and AI proxy model of the fractured reservoir. This model now guides Sanko Enerji in making precise reinjection and production decisions, minimizing drilling, reducing thermal breakthrough risk, and extending the field’s life. This digital breakthrough ensures the reliable output of 69.5 MW of clean, baseload energy, directly advancing Türkiye’s Energy Transition goals and securing long-term resource sustainability.

GeoStruXer faced the challenge of rehabilitating a warehouse in Jazan, Saudi Arabia, suffering 170 mm of settlement due to salt dome creep in an active seismic zone, requiring continuous operation. Using Bentley PLAXIS 3D and RAM Concept, GeoStruXer created a combined micropiled post-tensioned (PT) raft system. The digital twin was calibrated with AI and InSAR satellite data to accurately model 20-year creep and seismic risk, a feat impossible with traditional tools. This resulted in a 70% reduction in micropiles (from 2,700 to 779), saving 1,200 tonnes of steel and cutting embodied carbon by 44% (over 2,000 tonnes of CO2. The project reduced construction costs by 2.1 million USD and shortened the design cycle by 35%. This blueprint for sustainable retrofit in challenging ground conditions directly supports Climate Action and protects Land and Water Resources by minimizing disruption to the sensitive Sabkha terrain.

Pinnacle Infotech transformed its 137,593 sqm Madurai Campus into a benchmark for smart, sustainable management. The challenge was integrating disparate systems for real-time efficiency and predictive maintenance across the 2,000-seat facility. Using Bentley iTwin and iTwin IoT, they built a Digital Twin, integrating over 1,500 sensors and AI for anomaly detection and energy forecasting. This digital solution achieved remarkable results: 20% reduction in maintenance costs, 30% reduction in maintenance time (saving 8,000 hours/year), and INR 50,00,000 in annual OpEx savings. Environmentally, the project cut 300 kg of CO2 annually and reduced paper use by 80%, demonstrating a commitment to Climate Action and the Energy Transition through optimized resource management. The Digital Twin ensures long-term operational excellence and resource efficiency.

PowerChina’s Qinhuangdao Offshore PV Project is the first and most challenging of its kind in Hebei, facing 35 cm sea ice, high wind, and soft silt in the Bohai Sea. To ensure safety and economy, PowerChina used Bentley SACS and STAAD in an innovative cross-platform collaborative digital twin, creating a “pile-soil-structure” full-system optimization model. This digital approach accelerated the design cycle by 20 days and cut design costs by 22%. Precise, multi-load simulation reduced the truss steel by 18% and pile steel by 15%, while boosting structural resistance to ice and wind loads by 30%. The 342 MW project will generate 403 million kWh annually, saving 175,000 tons of coal and cutting 337,300 tons of CO2 pioneering blue energy development and strongly supporting China’s Energy Transition and “Dual Carbon” (peak carbon dioxide emission and carbon neutrality) goals.

The Caiziba Pumped-Storage Power Station, China’s pioneering large-scale project in a complex karst region, faced daunting geological challenges. Led by the Shanghai Investigation, Design & Research Institute (SIDRI), the team needed to navigate extensive cave systems, severe seepage, and inherent collapse risks. To master this complexity, SIDRI embraced a cutting-edge, fully parametric, multi-disciplinary digital twin system, leveraging the Bentley ecosystem, including MicroStation, OpenBuildings Designer, PLAXIS, ProjectWise, and iTwin. This digital approach delivered powerful breakthroughs, dramatically improving efficiency: core hydromechanical equipment modeling was completed 75% faster, while the 3D review system identified and eliminated 1,850 design conflicts, successfully avoiding RMB 4.5 million in potential rework costs. Furthermore, the use of ProjectWise boosted cross-disciplinary collaboration by an impressive 80%, accelerating the critical design path by 42 days. These precise digital methods also yielded significant Green Outcomes through material optimization, reducing concrete usage in a single water conveyance system by 3,200 m3 and cutting steel usage by 860 tons, a saving equivalent to 2,150 tons of CO2 emissions. Ultimately, the station’s frequency regulation capacity was enhanced by 30%, enabling the grid to reliably absorb 210 million kWh of wind power annually, thereby providing crucial support for the nation’s Energy Transition.

Chiayi County, Taiwan, an area increasingly susceptible to severe, short-duration heavy rains, needed to transform its reactive flood mitigation strategy into a proactive, smart disaster prevention system. Onework 工一科技 addressed this challenge by developing the Chiayi County Stormwater Drainage Real-time Water Monitoring System. The primary technical hurdle was to render a vast network of underground pipelines in 3D, integrate real-time water data, and dynamically visualize predicted flood conditions across the network.

Onework chose CesiumJS for its core 3D visualization and geospatial modeling capabilities. This provided an open, highly programmable environment that effectively integrated the SWMM flood prediction model with real-time monitoring. By using a GeoJSON-based data pipeline and custom shaders, the platform dynamically generates and animates the 3D pipe models. This means pipe color instantly reflects flow rate variations, and realistic flow animations simulate water movement based on a 3-hour flood forecast.

This digital platform delivers immediate life-saving and economic benefits, transforming the region’s approach to Climate Action. Previously, decisions relied on village representatives making hazardous on-site visits to assess flooding. Now, emergency response personnel can safely and instantly grasp disaster situations. The system allows for the proactive deployment of assets—specifically, mobilizing the county’s 228 mobile pumping stations to high-impact areas in advance, greatly enhancing the resilience of this coastal city.

PT Hutama Karya is constructing the 50.14 km Mamberamo–Elelim Section of the Trans Papua Road (with an investment value of USD 209 million), creating a critical lifeline through the region’s remote, mountainous highlands. To conquer the extreme terrain, 75m deep excavations, and scarce geotechnical data, the team adopted a comprehensive digital strategy integrating Bentley solutions. The process began with LiDAR and ContextCapture for precise 3D terrain models, followed by Leapfrog, which generated detailed 3D geological models. These models were then input into GeoStudio and PLAXIS 2D to analyze slope stability and deep-cut reinforcement strategies. This digital approach yielded significant returns: it mitigated failure risks valued at USD 2.5 million, optimized costs by USD 1 Million, and saved 640 engineering work hours. Furthermore, the project was accelerated by two months, and it reduced CO2 emissions by 49,672 kg. Most importantly, the road dramatically cuts travel time from 6 hours to 1 hour 20 minutes, providing safe, reliable access for over 1.45 million people, fostering Healthy Cities & Communities and enhancing regional development.

Fervo Energy’s Cape Station in Utah is the world’s largest next-generation Enhanced Geothermal Systems (EGS) development, set to deliver 500 MWe of carbon-free, baseload electricity, with 100 MWe due by 2026. This project expands geothermal production by circulating fluid between horizontal wells in deep, hard rock. To derisk the complex subsurface, Fervo used a digital workflow featuring Leapfrog Energy, Oasis montaj, and Seequent Central. This integration of Bentley software was crucial for iterative 3D subsurface characterization, combining gravity and MT data to refine geological models. The models nearly eliminated temperature uncertainty for Phase 1, accelerating design and financing. The digital approach resulted in an EGS system that produces three times the power in one-third the time of conventional systems. The team achieved a 100% success rate on wells, 18% under budget, and proved flow rates of 10 MWe from a single well. This design expands power density to 75+ MWe per square mile. The project is highly sustainable, generating zero wastewater and requiring only 1.5 acres per megawatt of land. It is projected to create $1.1 billion in local economic activity throughout construction and operations.

PowerChina Henan Electric Power Survey & Design Institute Co., Ltd. developed a Substation Flood Risks Assessment, Monitoring, and Early Warning System to protect critical 500kV substations in Zhengzhou, China, against extreme rainfall like the ‘21.7’ event. This RMB 2 Million project achieved 40% time savings and improved quality/efficiency by over 60% through a digital twin approach. The system uses 3D laser scanning and AI (PointNet++, RandLA-Net) for automated point cloud noise removal and semantic segmentation, enabling the precise 3D modeling of substation equipment. OpenFlows Sewer establishes 2D surface water models to predict flood water level and flow under different rainstorm conditions. The solution unifies multi-source data (aerial, terrain, BIM, sensor) via Bentley Cesium and WebGL for a realistic 3D flood deduction and early warning platform. This innovative system forms a complete disaster perception and simulation framework, reducing the grid’s vulnerability to extreme weather and achieving an international leading level in technology.

CSCEC AECOM Consultants Co., Ltd. is leading a RMB 460 million urban flood control and drainage project in Jinchang City, Gansu Province, China. The goal is to enhance flood resilience against a once-in-30-year storm by addressing systemic drainage deficiencies and aging pipe network data gaps. The project team, completing the work digitally with a 40% efficiency boost, utilized Bentley OpenFlows, MicroStation, and OpenRoads to build a ‘Reality Model + BIM + Hydrodynamic Model’ analysis system. This digital workflow reduced modeling and simulation time from months to days, accurately identifying and eliminating overflow risks—for instance, increasing a pipeline diameter on Yan’an Road to dn800 to achieve zero overflow and prevent rework. The project resolves flood risks for 1,146 hectares, protects RMB 460 million in infrastructure, and safeguards 300,000 residents. It also achieved significant sustainability gains, including a 30% reduction in earthwork excavation and an estimated 500-ton reduction in carbon emissions, providing a replicable digital benchmark for resilient northern cities.

DC Water implemented a real-time, cloud-managed digital twin using Bentley WaterSight and OpenFlows WaterGEMS to tackle $57.5M in annual Non-Revenue Water (NRW) loss across its 1,300 miles of aging mains. Leveraging the Blueprint 2.0 strategic plan, the system integrates SCADA, AMI, and hydraulic models. Key to the solution is the deployment of 120 pressure/transient sensors feeding Bentley’s Anomaly Leak Finder (ALF), which identifies and triangulates leaks in near real-time. This digital initiative is projected to minimize billions of gallons in water loss, reduce the carbon footprint by 50,000 metric tons (equal to removing 10,000 cars), and significantly enhance resilience for D.C.’s 700,000 residents and 26 million annual visitors. The project directly supports sustainability by conserving water resources and reducing the energy wasted in pumping lost water.

Cornell University’s Environmental Systems Lab, in partnership with the City of Ithaca, created the Energy Atlas Digital Twin to achieve the city’s goal of full carbon neutrality by 2030. The project targets the city’s 5,200+ buildings (responsible for over 300,000 metric tons of CO2 annually) by building a high-fidelity Urban Building Energy Model (UBEM). Using Bentley iTwin Capture for AI-driven 3D reconstruction from drone imagery, the team accurately extracted architectural data, saving an estimated 14,000 work hours in modeling labor. The UBEM platform, built on Cesium, allows stakeholders to prioritize cost-effective retrofits. This digital-first strategy enables pathways for up to 95% operational carbon reduction (or 104,000 metric tons of CO2 annually), establishing a scalable and replicable framework for accelerating energy transition in cities globally.

Ormat Technologies’ $65 million Roseau Valley Geothermal Project is delivering a 10MW net power plant in Dominica to supply ~50% of the island’s peak electricity demand, accelerating its transition toward 100% renewable energy by 2030. This initiative replaces expensive diesel generation with clean, resilient power. The project’s success relied on an integrated digital workflow using Bentley Leapfrog for 3D conceptual geomodeling and Volsung for complex reservoir-to-surface flow simulation. Crucially, the team dynamically linked Volsung outputs to AutoPIPE for pipeline stress analysis, ensuring structural integrity in challenging terrain. This digital approach saved at least 660 engineering hours (a 25% reduction in Balance of Plant (BOP) design), resulted in over $260,000 in material and design savings, and reduced the risk of needing additional wells, which would have cost over $10 million each.

Jakarta faced an air crisis, with 47% of CO2 from congested transport. PT Waskita Karya digitized the 6.4 km  Light Rail Transit (LRT) extension through the dense city using SYNCHRO 4D and iTwin. This digital twin approach, focused on clash detection and 4D planning, delivered measurable climate action during construction, saving 7,356 liters of fuel and reducing construction CO2. The electric LRT is the primary climate solution: it will displace thousands of fossil fuel vehicles, projected to cut 4,000-5,500 tons of CO2 annually. This smart infrastructure is accelerating Jakarta’s transition to zero-emission, clean-air mobility.

The Lumut Balai Unit-3 Geothermal Project, led by PT PERTAMINA GEOTHERMAL ENERGY in Muara Enim, Indonesia, is a $33 million initiative crucial for meeting South Sumatra’s rapidly growing energy demand and supporting Indonesia’s Net Zero Emissions target. Set to deliver 55 MWe of baseload renewable power by 2029, the project will electrify 60,000 remote households and displace 300,000 tons of CO2 annually by saving 2,600 barrels of oil equivalent per day.

The project’s major breakthrough was the implementation of a fully integrated digital workflow that transformed the geothermal exploration process. By replacing manual methods with Bentley’s dedicated geothermal tools—Leapfrog Geothermal, Oasis montaj, and Volsung—the team achieved unprecedented efficiency and risk reduction. The 3D geological and conceptual reservoir models, created and refined in real-time, formed the foundation for a customized Play Fairway Analysis (PFA) workflow.

This data-driven approach allowed the Lumut Balai team to dramatically enhance well targeting, reducing the overall drilling risk from 48% to just 15%. This increased confidence led to significant financial returns, including a 17% reduction in drilling cost, saving USD 1.5 million per well, and a total saving of USD 125,000$ in operational expenses. Furthermore, the integrated digital process shortened the entire feasibility study phase by 50%, reducing it from 12 months to 6 months, ensuring the project stays on track to deliver clean energy by 2029. This efficient, risk-informed development model sets a new standard for geothermal projects in Indonesia.

Aquawolf addressed a critical challenge facing electric utilities in Southern California: the urgent need to harden infrastructure against intensifying wildfires and storms while simultaneously controlling costs for ratepayers. The core problem was that traditional structural analysis tools often relied on simplifying assumptions, leading them to conservatively flag structurally sound utility poles as overstressed. These inaccuracies resulted in a costly cycle of unnecessary pole replacements, with costs ranging from $20,000 to $100,000 per pole.

The breakthrough was the implementation of a proprietary digital workflow that integrated rapid, survey-grade photogrammetric 3D data capture (using AI processing for speed) directly with Bentley’s full PLS-CADD application. This approach eliminated the historical tradeoff between cost and engineering rigor. By automating the path from field data to model, the solution allowed designers to utilize the most robust analysis environment without increasing total project cost.

The result was a transformation in efficiency and accuracy. Modeling time per structure was reduced from the traditional 3–4 hours to approximately 1 hour (a 60%–75% gain). Crucially, the high-fidelity PLS-CADD models showed greater consistency and revealed that poles previously marked for replacement were, in fact, structurally sound. This insight provides the potential for an annual cost avoidance of over $2.5 million — freeing up capital that can be strategically redirected to genuine grid resilience, fire hardening, and clean energy transition efforts.

The 17th Street Canal Pump Station is a cornerstone of New Orleans’ critical flood protection system, requiring maximum operational readiness and resilience against increasing climate threats. The digital breakthrough was a persistent, geospatially accurate digital twin using the Bentley iTwin Experience platform, supported by iTwin Capture and MicroStation. Forte and Tablada (F&T) federated all technical file formats—including legacy as-builts, 3D models, and AI-processed point clouds—into a single, cloud-native environment. This eliminated data silos and provided a live, 3D representation constrained by real-world coordinates, critical for managing infrastructure in a constantly changing coastal environment.

This digital foundation delivers significant efficiencies. Engineers can now virtually access the station from any location, saving over 150 hours annually in travel and site coordination. The twin saved approximately 200 man-hours in a single project evaluation by enabling virtual measurement and conflict resolution. It is also projected to reduce the time to begin future design projects by 50%, significantly boosting emergency response speed and securing the safety of the New Orleans community. This project sets a new global standard for critical flood infrastructure management.

The 2024 historic floods in Rio Grande do Sul, Brazil, created an unparalleled humanitarian crisis, overwhelming the region’s infrastructure by paralyzing 70 water treatment plants and submerging 265,000 service connections. Facing asset damage and logistical chaos across 168 municipalities, Corsan/Aegea needed immediate, precise decisions to restore basic services for 2.4 $ million people. The digital breakthrough was leveraging their existing Bentley OpenFlows Water hydraulic models as a tactical-strategic emergency planning tool for the first time. The team rapidly transitioned to action, using the models to simulate complex, time-sensitive scenarios: from strategically locating mobile water treatment units to optimizing the delicate recharge of damaged distribution networks. OpenFlows provided the crucial intelligence needed to calculate replenishment times and test temporary supply loops under extreme uncertainty. This digital response enabled the task force to establish a predictable, organized, and intermittent supply to the entire affected population, ensuring water quality and mitigating the severe public health risks of a complete water shortage. This agile use of advanced digital modeling demonstrates its critical role in climate disaster response and infrastructure resilience.

The Minas Gerais Sanitation Company (Copasa MG) faced the challenge of optimizing its Water Supply Systems (SAA) in the semiarid northern region of Minas Gerais, a critical area marked by water scarcity and low operational efficiency. The primary goal was to increase resilience and ensure the universalization of services while minimizing costs.

The digital leap occurred with the strategic implementation of hydraulic modeling via Bentley OpenFlows WaterGEMS, utilizing the Darwin Calibrator (AI) to validate and adjust models with unprecedented accuracy. With this tool, Copasa was able to simulate complex scenarios to maximize energy and operational efficiency, a fundamental action for combating climate change and ensuring sustainable resource management.

The results demonstrate the efficacy of this approach: in Brasilândia de Minas, energy consumption drastically dropped from 0.3748 kWh m3 to 0.2290 kWh m3, reducing the cost per cubic meter from BRL 0.3561$ to BRL 0.2176$. Flow capacity increased by 22.9%, eliminating the local water deficit and ensuring greater supply security. In Buritis, the modeling allowed the extension of a main pipeline’s useful life by approximately 10 years, avoiding the need for large capital expenditures (CAPEX). These improvements in efficiency and resilience guarantee the rational use of water and energy resources and free up capital for infrastructure expansion in the region.