Why Technology is Key to Renewable Energy Success

Why Technology is Key to Renewable Energy Success Energy & Sustainability Solutions | July 15, 2025

Discover how AI-driven optimization technology is transforming renewable energy construction by enhancing efficiency, managing risks, and improving project outcomes in the face of various challenges.

Across Europe and the United States, political pressure and economic volatility have introduced additional risks to renewable projects.  Net-zero policies are being scrutinised, supply chains continue to be uncertain, and extreme weather events are disrupting communities.

There are commercial imperatives too. Owners need renewable energy assets to be delivered in a profitable and timely way to satisfy business cases, attract long-term capital and secure buy-in across large organisations. This is especially the case for energy giants whose business has historically been dependent on fossil fuels – for them, they are also diversifying their business model.

With so many variables to consider, it can be difficult for project teams and schedulers to ascertain the optimum approach to projects.

This is where optimisation technology is making a difference. By enabling teams to model different scenarios, teams can proactively assess the risks that projects might face and explore solutions that keep the project on time and on budget.

Improving efficiency

Solar and wind projects share a vital characteristic – high repeatability. Whether it’s a 350 megawatt solar farm or a floating offshore wind facility, the underlying processes often follow a similar rhythm through design, procurement, installation and commissioning – while considering the specific constraints for each site.

This consistency is a goldmine for optimisation.

Georgia Stillwell, director of client solutions at ALICE Technologies, explains, “Construction optimisation software allows teams to find the optimal assembly of one wind turbine foundation and then replicate the strategy across hundreds of units.

“This technology helps projects adapt to constraints, such as space, labour, weather and material deliveries. As conditions change, users can update and simulate construction strategies in real time, minimising downtime and cutting inefficiencies.

“For example, contractors can test how transport delays from a steel yard outside of Europe might affect delivery and instantly receive new schedule options that optimise material flow and labour deployment.”

Georgia Georgia Stillwell Director of Client Solutions, ALICE Technologies

One real-world example of this can be seen from a project with Implenia, Switzerland’s leading construction company. Tasked with exploring several locations for a new production facility to manufacture concrete foundations for floating offshore wind farms, the Implenia team turned to ALICE to streamline their planning process. Implenia found that planning was ten times faster than traditional methods, enabling them to rapidly adjust variables and test multiple scenarios to improve productivity opportunities.

Solving the labour crunch

Labour shortages continue to hamper renewable construction. Recruiting for skilled on-site roles, like welders, crane operators and riggers, is exceptionally difficult, with people coming from abroad to fill critical skill shortages. Add to this the challenge of working in remote or isolated locations and where every hour of downtime causes additional expense.

By streamlining the construction process, project directors can optimise the crews to help reduce the amount of paid idle or standing time. By simulating millions of construction sequences, project schedulers can help inform how to best deploy labour, balance workloads, avoid bottlenecks and prevent costly overstaffing or under-resourcing.

Weather woes

Extreme weather is now an expected occurrence, rather than a possible risk, for many projects. Summer heatwaves, winter storms, high winds and significant rainfall can all seriously impact productivity and the ability to access the site – especially in remote or offshore locations which rely on air or sea transport. In such instances, optimisation software helps construction teams to proactively plan for weather-driven risks so that effective contingency plans can be developed and deployed without hesitation.

Project directors are under pressure to make rapid decisions on how to reorganise in the face of adverse weather conditions. Software, like ALICE, allows for automated crew reassignment and task resequencing, while evaluating the cost benefit impact of these choices within a couple of minutes. The capability to make fast, data-backed decisions is vital when trying to balance workforce safety with ambitious delivery targets.

As renewable energy continues to scale to meet global demand, the industry must ensure it is equal to, if not outperforming, alternative non-renewable energy projects. By incorporating AI-powered optimisation into their workflows, project stakeholders can gain deeper insight into project strategies, use a data-driven approach to evaluate options, enhance communication, and strengthen the case for long-term investment in renewable infrastructure.

You can read the full article here.