Literature review identifies high upfront costs and integration issues in energy-efficient automation systems, suggesting interoperability frameworks and AI solutions.
Key Points
High upfront costs are identified as a leading challenge for energy-efficient automation in smart buildings, affecting 80.6% of surveyed professionals.
Integration issues also pose significant challenges, with 55% of literature referencing difficulties in interoperability between systems.
Cybersecurity and data privacy concerns are critical impediments to implementing smart building technologies effectively.
Adopting predictive maintenance using AI can reduce energy use by 20-30%, highlighting the potential for innovative solutions.