5 minute read
Quantifying the benefits of industrial prop-tech upgrades, such as improved efficiency and cost savings, can be uncertain and vary significantly from projections. The process is further complicated by various risk factors, including supply chain disruptions and integration issues, as well as the need to align diverse stakeholder priorities and comply with regulatory standards. These elements collectively make it difficult to create a clear and compelling business case for such upgrades.
Assessing the prop-tech business case for upgrading plant and equipment in an industrial setting can be challenging due to several factors:
Deep Energy AI
By leveraging the power of AI and data-driven insights, Deep Energy AI provides a comprehensive and accurate assessment of the business case for upgrading plant and equipment, making the decision-making process more efficient and reliable.
Deep Energy AI can significantly aid in assessing the prop-tech business case for upgrading plant and equipment in an industrial setting by addressing the key factors:
The software enables a load profile augmentation from template upload. The template adjusts the load profile accordingly to simulate the augmentation of electrical load on consumption (kWh) figures from the date range selected where the user can:
The tool then modifies the electrical load based on user input to calculate:
Analysis of load profile comparison to baseline scenario in Deep Energy AI
Analyst
Ariel is an IoT consultant delivering building-to-grid solutions and smart building strategies for BE for over 5 years. His skill set covers marketing, business intelligence, data analytics, and communications.
I am a learned professional with over 15-years experience in communications, information systems management and technological project development across various businesses and industries. I regularly employ critical thinking to develop systems, specs and procedures to achieve project and organisational goals. Whilst my work leads to technological systems and solutions, I have learnt to focus primarily on people and outcomes rather than technology which is not an end in of itself. From a single application to broad-based innovation, I strive to deliver project outcomes that surpass organisational and market expectations and enact positive organisational, social and environmental change.