Intelligent Energy Management in Smart Buildings with Sustainable Power Integration: A Project Management Perspective
Keywords:
Intelligent Energy Management, Smart Buildings, Sustainable Power Systems, Artificial IntelligenceAbstract
The increasing complexity of modern building energy systems, combined with the global demand for sustainable development, has accelerated the transition from conventional energy management approaches toward intelligent and adaptive energy management frameworks. Smart buildings integrated with sustainable power systems represent a critical pathway for improving energy efficiency, reducing operational costs, and achieving environmental sustainability objectives. However, effective management of such buildings requires coordination among renewable energy generation, energy storage, consumption patterns, digital infrastructure, and project lifecycle considerations. This research examines intelligent energy management in smart buildings with sustainable power integration from a project management perspective by analyzing the role of artificial intelligence, machine learning, cyber-physical systems, optimization algorithms, and IoT-based energy management approaches.
The study develops a conceptual framework that integrates intelligent monitoring, predictive analytics, automated decision-making, and sustainable energy strategies throughout the building lifecycle. The methodology is based on a structured analysis of existing research related to digital twins, artificial intelligence-based building energy management, smart grid security, intelligent source allocation, optimization algorithms, sustainable energy materials, and AI-driven construction management perspectives. The research evaluates how these technologies contribute to improved energy planning, resource allocation, operational efficiency, and long-term sustainability.
The findings indicate that intelligent energy management systems significantly enhance the ability of smart buildings to adapt to changing energy conditions. Artificial intelligence-based approaches enable predictive energy optimization, while IoT-enabled systems provide real-time visibility into building performance. Optimization techniques such as bio-inspired algorithms and multi-agent decision frameworks improve energy allocation efficiency under dynamic operating conditions. Furthermore, sustainable power integration supported by advanced materials and renewable technologies strengthens energy resilience and reduces dependence on conventional power sources.
The research highlights that successful implementation of intelligent energy management requires a comprehensive project management approach involving technological integration, cybersecurity planning, lifecycle assessment, and stakeholder coordination. Although intelligent systems provide significant benefits, challenges related to data privacy, interoperability, implementation cost, and system complexity remain important considerations. This study contributes a strategic perspective on integrating intelligent technologies with sustainable power systems to support future smart building development.
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Copyright (c) 2026 Lukas Gruber
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