The feasibility study occupies a peculiar position in the infrastructure project lifecycle. It is, in principle, the moment at which the most consequential decisions are made: whether a project is viable, what technology approach is appropriate, what the likely cost and performance will be, and whether investment is justified. In practice, it is often the stage at which the least rigorous engineering work is done.
Traditional feasibility studies for water and wastewater treatment facilities in Brazil are typically produced under significant time pressure, using manual engineering methods that limit the number of options that can be realistically evaluated. The result is a document that is authoritative in form, but often limited in the depth of analysis it can provide. Key assumptions about technology selection, site constraints, and cost are frequently based on experience and engineering judgment rather than detailed analysis, because detailed analysis takes more time than the feasibility timeline allows.
In Brazil’s current infrastructure environment, where hundreds of new facilities need to be evaluated, scoped, and advanced through planning in compressed timelines to meet the 2033 universalisation targets, this limitation is a serious constraint. Digitizing the feasibility process, deploying tools that can produce rigorous, engineering-quality analysis at feasibility speed, is one of the most impactful investments a utility or engineering firm can make.
What a Traditional Feasibility Study Actually Involves
A typical feasibility study for a water or wastewater treatment facility involves several components: assessment of the treatment requirement, including flow rates and quality targets; evaluation of technology options; preliminary sizing of key process components; site assessment; and a budgetary cost estimate for both capital and operating expenditure.
In a manual process, each of these components requires dedicated engineering effort. Technology evaluation involves reviewing technical literature, consulting with suppliers, and applying engineering judgment to assess fitness for purpose. Preliminary sizing requires process calculations based on the selected technology and the defined operating parameters. Cost estimation requires applying cost indices and factors to the sized equipment, often with significant uncertainty ranges.
The combined effort required for a credible manual feasibility study typically runs to several weeks, and the scope of technology options that can be evaluated is constrained by the available time. Most studies evaluate two or three alternatives in detail, with any additional options assessed at a high level of abstraction.
What Digitized Feasibility Looks Like
A digitized feasibility process uses a generative design platform to automate the analytical steps that consume most of the time in a manual study. When a planning team inputs the key parameters of a project, the design platform automatically generates multiple treatment options, each with full preliminary engineering: process sizing, equipment specifications, civil quantities, CAPEX and OPEX estimates, carbon footprint, and land area requirements.
The Transcend Design Generator can generate 18 design alternatives in approximately 40 minutes, according to documented user experience. Each alternative is produced to a level of engineering detail that, in a manual process, would require weeks of work. The planning team can then compare alternatives on any combination of criteria, selecting the option that best fits the project’s specific requirements.
For Caesb, the water and wastewater utility for Brazil’s Federal District, adopting TDG transformed the feasibility and preliminary design timeline for lift station projects from 15 days to approximately four hours. This was not a marginal efficiency improvement. It was a fundamental change in the analytical capacity available to the planning team, enabling a volume and quality of feasibility work that would be impossible with manual methods.
The Quality Dimension
Speed is the most visible benefit of digitized feasibility, but quality may be more important. When feasibility analysis is produced by a generative design platform, the engineering logic applied to every design option is consistent, rules-based, and auditable. It does not vary based on the individual engineer’s experience, time availability, or familiarity with specific technologies.
This consistency matters for several reasons. It makes the comparison between technology options genuinely meaningful, because each option has been evaluated on the same basis. It reduces the risk of systematic biases toward familiar or conventional approaches. And it produces a clear record of the assumptions underlying each design option, which is valuable both for internal decision-making and for regulatory or investor scrutiny.
As BRK Ambiental noted, TDG’s automated design logic became a trusted reference tool for their engineering team precisely because of this consistency: ‘It’s a tool that today is reliable. Really it’s part of our daily basis.’ That level of confidence in a feasibility tool changes how teams use it, allowing them to rely on its outputs as the basis for investment decisions rather than treating them as a starting point requiring extensive manual verification.
Feasibility as a Continuous Capability
One of the most strategically significant effects of digitizing the feasibility process is that it transforms feasibility from a discrete project phase into a continuous capability. When feasibility analysis can be completed in hours rather than weeks, it becomes practical to run feasibility assessments continuously, as new information becomes available, as project parameters change, or as new technology options become relevant.
For Brazilian utilities managing large project portfolios across multiple municipalities and facility types, this continuous capability is transformational. Instead of commissioning a single feasibility study for a facility and treating its outputs as fixed until the next planning cycle, teams can continuously update their understanding of the project, testing new scenarios as conditions evolve.
This aligns directly with the dynamic capital planning approach that Brazil’s utilities need to manage the 2033 programme. When feasibility is a continuous capability rather than a periodic exercise, capital planning can be genuinely responsive to changing conditions, rather than locked into assumptions established at a single point in time.
The Competitive Dimension for Engineering Firms
For engineering consultants working in Brazil’s water sector, the digitization of feasibility is also a competitive question. Clients, particularly sophisticated utilities and concessionaires that have adopted their own digital planning tools, are increasingly able to assess the quality and rigour of feasibility work they receive. A traditional feasibility study that evaluates two alternatives with manually produced cost estimates is a less compelling product than one that has systematically evaluated a dozen alternatives with engineering-quality analysis for each.
Engineering firms that invest in generative design capabilities are not just improving their internal efficiency. They are differentiating the quality of the service they can offer to clients who are themselves under pressure to make better investment decisions faster. In a market as competitive and as fast-moving as Brazil’s current water sector, that differentiation is commercially significant.
To explore how Transcend’s generative design platform supports feasibility and conceptual design for water and wastewater projects in Brazil, visit transcendinfra.com/br.
