20 Oct 2024
A commercial property management organisation was facing significant challenges in determining the best energy strategy for a new build. The team, consisting of engineers, sustainability professionals, and strategic managers, struggled to balance financial goals with sustainability targets, and the lack of a cohesive platform led to siloed decision-making.
Mark, the chief engineer on the project,
was tasked with identifying the optimal energy infrastructure, weighing the advantages of various connection types. One key decision revolved around the choice between a single high-voltage (HV) connection and multiple low-voltage (LV) connections. While the HV connection had the potential to reduce long-term operational costs, the immediate financial benefits were unclear due to a lack of integrated data insights. Engineers also faced difficulty assessing equipment performance and identifying inefficiencies in real-time, delaying the project's progress.
Meanwhile, the sustainability team, led by Claire,
was focused on minimising the building's carbon footprint by selecting the right mix of renewable energy sources and energy storage solutions. However, balancing these environmental goals against the project's budget proved challenging. Without a clear understanding of how different clean-tech energy solutions could impact both sustainability and financial performance, the team struggled to develop a strategy that could satisfy both objectives.
At the same time, the organisation's strategic manager, Pierre,
was primarily concerned with minimising capital expenditure (CapEx) while maintaining long-term financial viability. They needed to ensure that energy investments - whether in infrastructure, renewables, or energy storage - would deliver strong returns and fit within the organisation's broader financial strategy. However, the lack of integrated insights left them with limited data to justify investments in clean-tech energy solutions and smart building initiatives.
The introduction of Deep Energy AI's unified, cloud-based platform was a game-changer for the project. By providing a centralised platform for data collection, modelling, analysis, and collaboration, Deep Energy AI bridged the communication gaps between engineering, sustainability, and strategic management teams, enabling them to engineer a future-proof energy strategy.
With Deep Energy AI serving as the central hub for data and insights, the project team overcame initial challenges and made informed, aligned decisions that met both sustainability and financial objectives. The platform's ability to consolidate insights into a unified business case was pivotal. By combining technical, financial, and environmental data, the software allowed the team to evaluate energy strategies holistically rather than in isolation. This approach provided a comprehensive understanding of each scenario's impact across the entire project, ensuring better, more integrated decision-making.
The real advantage was that Deep Energy AI allowed the team to simulate different configurations, consolidate the results, and evaluate each scenario in totality. Every model they ran - whether for various renewable energy sources, storage solutions, or infrastructure options - could be assessed within a complete, cohesive business case. This provided an overarching perspective of how each scenario impacted both short-term and long-term project outcomes.
By enabling this holistic evaluation, Deep Energy AI empowered the team to make smarter, more aligned decisions that advanced their project efficiently and effectively. The ability to consolidate all relevant data into a unified business case for every scenario modelled gave the organisation confidence in its decision-making, ensuring that no aspect of the energy strategy was evaluated in isolation.
The success of this project demonstrated the power of Deep Energy AI's platform to integrate clean-tech energy solutions, digital engineering, and data-driven smart building strategies into a unified approach. With the ability to evaluate entire scenarios in totality, the organisation now has a blueprint for future projects, ensuring continued collaboration, efficiency, and success across the business.
Are you ready to transform your energy strategy and drive meaningful change in your organisation? Join Claire, Mark, and Pierre in leveraging Deep Energy AI to unlock powerful insights that enhance collaboration and decision-making across your teams.
Get started today! Explore how our innovative platform can empower you to develop a future-proof energy strategy that balances financial performance with sustainability goals. Contact us now to schedule a demo and discover the benefits of integrated energy modelling for your next project!