Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Proceedings on 28th European Conference on Artificial Intelligence ECAI 2025 – InMan Workshop

ISBN (online): 978-83-8419-053-1    OAI    DOI: 10.18276/978-83-8419-053-1-40
CC BY-SA   Open Access 

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ENHANCING SUSTAINABILITY IN FACILITY MANAGEMENT: DATA-DRIVEN DECISION MAKING THROUGH INTELLIGENT ENERGY MONITORING

Authors: Magdalena Malinowska
University of Szczecin, Institute of Management, Poland

Paweł Troczyński
Promar Sp. z o.o., Bydgoszcz, Poland

Bartosz Marciniak
Promar Sp. z o.o., Bydgoszcz, Poland
Keywords: sustainability sustainable development energy monitoring energy efficiency facility management
Whole issue publication date:2025-10-02
Page range:19 (612-630)
Klasyfikacja JEL: Q55 Q01 Q41
Cited-by (Crossref) ?:

Abstract

Purpose: This article explores the role of intelligent energy monitoring in enhancing sustainability within facility management, highlighting the potential of dedicated IT system implementations to support this goal. The following research questions are considered: Q1: How does intelligent energy monitoring contribute to achieving higher sustainability in buildings? Q2: How can integrating various data from intelligent meters, sensors, IT systems, and advanced data analytics support decisions to optimize energy consumption? Q3: What are the quantifiable benefits of adopting intelligent energy monitoring solutions in buildings? Need for the study: As one of the largest energy consumers, the construction sector needs advanced IT solutions to track, analyze, and optimize energy use and plan more effective energy strategies in line with environmental regulations and Sustainable Development Goals (SDGs). Methodology: The research adopts a case study methodology, focusing on implementing imperiusFM across four City Office buildings. Three main phases were conducted during the study: data collection, system performance analysis, and evaluation in a sustainability context. Findings: Empirical results of imperiusFM implementations in four city facilities highlighted the platform's operational efficiency. Real-time, intelligent energy monitoring, fault detection, and advanced analytics reduced energy consumption by 18.6% and CO2 emissions by over 68,3 tons per season. Practical Implications: The research provides valuable insights for facility managers and decision-makers, demonstrating the role of intelligent energy monitoring in optimizing energy strategies. The imperiusFM platform enables cost-effective and environmentally responsible facility management to align more effectively with global sustainability targets.
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