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Enhancing energy efficiency in buildings, optimization method and building management systems application for lower CO2 emissions

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  • Liang, Rui
  • Wang, Po-Hsun

Abstract

In this study, the impact of Building Management Systems (BMS) on energy consumption in office buildings has been evaluated, with a focus on reducing energy costs and CO2 emissions to support sustainability efforts. An integrated framework has been developed to optimize energy usage in an office building in Wuhan, China. Using environmental building data, the proposed model incorporates BMS and optimization concepts, benchmarking its performance against conventional methods. The analysis considers various factors, including building occupancy, material thermal properties, and HVAC systems, to assess energy consumption intensity. An EnergyPlus simulation coupled with Multi-Objective Particle Swarm Optimization (MOPSO) was applied to refine energy management strategies. The findings indicate that the proposed model significantly reduces energy consumption, lowering it from 147.13 kWh/m2.year in the base scenario to 96.31 kWh/m2.year. Correspondingly, CO2 emissions were minimized, achieving 57.6 kg/m2.year in the optimized model. These results underscore the value of BMS and optimized building design in mitigating environmental impacts and advancing sustainability.

Suggested Citation

  • Liang, Rui & Wang, Po-Hsun, 2024. "Enhancing energy efficiency in buildings, optimization method and building management systems application for lower CO2 emissions," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224038325
    DOI: 10.1016/j.energy.2024.134054
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    1. Alghassab, Mohammed A., 2025. "Data-driven framework for energy optimizing net-zero energy buildings (NZEB): A functional assessment of energy efficiency and thermal comfort," Energy, Elsevier, vol. 330(C).

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