Smart Building Energy Optimization with Renewable Power Integration: An Engineering Management Perspective
Keywords:
Publish–Subscribe Architecture, Reactive Systems, Digital Finance, Event-Driven SystemsAbstract
The rapid transformation of the global energy sector, driven by climate change concerns, energy security challenges, and increasing urbanization, has accelerated the development of smart buildings integrated with renewable energy systems. Smart buildings represent a convergence of advanced digital technologies, intelligent energy management systems, renewable power generation, and engineering management practices aimed at improving energy efficiency, operational resilience, and sustainability performance. This research paper examines smart building energy optimization with renewable power integration from an engineering management perspective, focusing on the interaction between artificial intelligence-based optimization, smart readiness frameworks, renewable energy deployment, and project management strategies.
The study adopts a conceptual research methodology based on systematic analysis and synthesis of existing literature concerning smart building technologies, Smart Readiness Indicators (SRI), renewable energy integration, energy policy frameworks, digital twins, and AI-driven energy management. The research develops an integrated engineering management framework that connects technical optimization processes with decision-making, lifecycle management, regulatory compliance, and sustainability objectives. The findings indicate that successful smart building energy optimization requires more than technological deployment; it depends on effective coordination among energy systems, digital infrastructure, construction planning, operational management, and policy mechanisms.
The analysis demonstrates that artificial intelligence and digital twin technologies provide significant opportunities for predictive energy management, demand response optimization, and renewable energy utilization. Smart Readiness Indicators provide a structured mechanism for evaluating building intelligence and supporting investment decisions. However, challenges remain regarding interoperability, cybersecurity, high initial investment costs, data management complexity, and the need for skilled professionals capable of integrating engineering and management disciplines. Renewable power integration further introduces technical challenges associated with intermittency, grid interaction, and energy storage requirements.
The research contributes an engineering management-oriented perspective by highlighting how project planning, technology selection, lifecycle assessment, and organizational coordination influence the effectiveness of smart building energy optimization strategies.
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