Industrial energy efficiency has become a strategic priority for manufacturing companies seeking to reduce costs and environmental impact while meeting increasingly demanding regulatory standards. This thesis analyses and enhances the energy management and monitoring system of a multi-site industrial company operating an energy management system compliant with the ISO 50001 standard. The objective is to move from a purely descriptive collection of energy data towards a targeted, decision-oriented analysis of energy performance across comparable production sites. The work focuses on the plants most significant energy uses and develops a structured approach to assess and compare their performance. The methodology combines data cleaning and validation with the definition of normalized key performance indicators, designed to compare different sites and time periods on a consistent and meaningful basis. Two complementary axes of analysis are developed: an internal benchmarking between structurally similar plants, and an analysis of each site's energy behaviour over time. Reference baselines are used to distinguish genuine inefficiencies from variations driven by production levels or external conditions. On this basis, the study identifies the main sources of inefficiency and the most relevant opportunities for improvement. In parallel, the thesis documents the enhancement of the monitoring system, which evolved from raw data collection into an analytical tool featuring performance indicators, dashboards, and automated reporting, supported by initiatives aimed at increasing data quality, granularity, and automation. The results show how integrating energy performance analysis with improved monitoring tools enables faster and more effective decision-making, strengthens the continuous improvement cycle, and lays the groundwork for the future measurement and verification of energy savings.

Industrial energy efficiency has become a strategic priority for manufacturing companies seeking to reduce costs and environmental impact while meeting increasingly demanding regulatory standards. This thesis analyses and enhances the energy management and monitoring system of a multi-site industrial company operating an energy management system compliant with the ISO 50001 standard. The objective is to move from a purely descriptive collection of energy data towards a targeted, decision-oriented analysis of energy performance across comparable production sites. The work focuses on the plants most significant energy uses and develops a structured approach to assess and compare their performance. The methodology combines data cleaning and validation with the definition of normalized key performance indicators, designed to compare different sites and time periods on a consistent and meaningful basis. Two complementary axes of analysis are developed: an internal benchmarking between structurally similar plants, and an analysis of each site's energy behaviour over time. Reference baselines are used to distinguish genuine inefficiencies from variations driven by production levels or external conditions. On this basis, the study identifies the main sources of inefficiency and the most relevant opportunities for improvement. In parallel, the thesis documents the enhancement of the monitoring system, which evolved from raw data collection into an analytical tool featuring performance indicators, dashboards, and automated reporting, supported by initiatives aimed at increasing data quality, granularity, and automation. The results show how integrating energy performance analysis with improved monitoring tools enables faster and more effective decision-making, strengthens the continuous improvement cycle, and lays the groundwork for the future measurement and verification of energy savings.

Energy performance assessment and monitoring system enhancement in a multi-site industrial company: a case study

DELUCCA, PAOLO
2025/2026

Abstract

Industrial energy efficiency has become a strategic priority for manufacturing companies seeking to reduce costs and environmental impact while meeting increasingly demanding regulatory standards. This thesis analyses and enhances the energy management and monitoring system of a multi-site industrial company operating an energy management system compliant with the ISO 50001 standard. The objective is to move from a purely descriptive collection of energy data towards a targeted, decision-oriented analysis of energy performance across comparable production sites. The work focuses on the plants most significant energy uses and develops a structured approach to assess and compare their performance. The methodology combines data cleaning and validation with the definition of normalized key performance indicators, designed to compare different sites and time periods on a consistent and meaningful basis. Two complementary axes of analysis are developed: an internal benchmarking between structurally similar plants, and an analysis of each site's energy behaviour over time. Reference baselines are used to distinguish genuine inefficiencies from variations driven by production levels or external conditions. On this basis, the study identifies the main sources of inefficiency and the most relevant opportunities for improvement. In parallel, the thesis documents the enhancement of the monitoring system, which evolved from raw data collection into an analytical tool featuring performance indicators, dashboards, and automated reporting, supported by initiatives aimed at increasing data quality, granularity, and automation. The results show how integrating energy performance analysis with improved monitoring tools enables faster and more effective decision-making, strengthens the continuous improvement cycle, and lays the groundwork for the future measurement and verification of energy savings.
2025
Energy performance assessment and monitoring system enhancement in a multi-site industrial company: a case study
Industrial energy efficiency has become a strategic priority for manufacturing companies seeking to reduce costs and environmental impact while meeting increasingly demanding regulatory standards. This thesis analyses and enhances the energy management and monitoring system of a multi-site industrial company operating an energy management system compliant with the ISO 50001 standard. The objective is to move from a purely descriptive collection of energy data towards a targeted, decision-oriented analysis of energy performance across comparable production sites. The work focuses on the plants most significant energy uses and develops a structured approach to assess and compare their performance. The methodology combines data cleaning and validation with the definition of normalized key performance indicators, designed to compare different sites and time periods on a consistent and meaningful basis. Two complementary axes of analysis are developed: an internal benchmarking between structurally similar plants, and an analysis of each site's energy behaviour over time. Reference baselines are used to distinguish genuine inefficiencies from variations driven by production levels or external conditions. On this basis, the study identifies the main sources of inefficiency and the most relevant opportunities for improvement. In parallel, the thesis documents the enhancement of the monitoring system, which evolved from raw data collection into an analytical tool featuring performance indicators, dashboards, and automated reporting, supported by initiatives aimed at increasing data quality, granularity, and automation. The results show how integrating energy performance analysis with improved monitoring tools enables faster and more effective decision-making, strengthens the continuous improvement cycle, and lays the groundwork for the future measurement and verification of energy savings.
Energy performance
Monitoring
Efficiency
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/116251