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Dr. Andrea Trianni
Faculty of Engineering and IT, University of Technology Sydney, 81-117 Broadway, Ultimo NSW 2007, Australia

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0 sustainable supply chain management
0 industrial sustainability
0 Operations efficiency
0 Industrial energy efficiency
0 Industrial eco-efficiency

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Industrial energy efficiency
industrial sustainability
sustainable supply chain management

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Journal article
Published: 06 July 2021 in Renewable and Sustainable Energy Reviews
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Energy efficiency measures in electric motor systems are scarcely implemented and previous literature has largely overlooked the characterizing factors responsible for their adoption in industrial operations. The present study, after a comprehensive literature review, aims at supporting research by offering a framework for the identification of the factors that should be assessed when considering the adoption of electric motor systems' energy efficiency measures. The proposed factors are clustered in ten categories, namely: contextual factors, compatibility, economy, energy savings, production-related factors, operations-related factors, synergies, complexity, personnel and additional technical factors. After a preliminary empirical validation, the proposed framework has been applied in a selected sample of manufacturing firms. Findings show that factors more closely related to the firm's production and operations result most critical for the adoption of energy efficiency measures. However, the adoption process is also deeply influenced by their complexity or compatibility to the specific context application, therefore calling for an exhaustive assessment. The adoption of the framework would have reversed some firm's decisions over the initial uptake of energy efficiency measures that proved to have critical issues for their implementation. Therefore, the proposed framework provides additional support and further value to decision-makers especially for non-energy intensive firms, where the impact on non-energy production resources becomes more important, and small-medium enterprises usually present greater difficulties for a holistic assessment of energy efficiency measures. The study concludes with main implications for research and policy-making from the present study as well as suggestions for future research.

ACS Style

D. Accordini; E. Cagno; A. Trianni. Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems. Renewable and Sustainable Energy Reviews 2021, 149, 111354 .

AMA Style

D. Accordini, E. Cagno, A. Trianni. Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems. Renewable and Sustainable Energy Reviews. 2021; 149 ():111354.

Chicago/Turabian Style

D. Accordini; E. Cagno; A. Trianni. 2021. "Identification and characterization of decision-making factors over industrial energy efficiency measures in electric motor systems." Renewable and Sustainable Energy Reviews 149, no. : 111354.

Review
Published: 24 June 2021 in Sustainability
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Multi-criteria decision-making (MCDM) methods are smart tools to deal with numerous criteria in decision-making. These methods have been widely applied in the area of sustainable supply chain management (SSCM) because of their computational capabilities. This paper conducts a systematic literature review on MCDM methods applied in different areas of SSCM. From the literature search, a total of 106 published journal articles have been selected and analyzed. Both individual and integrated MCDM methods applied in SSCM are reviewed and summarized. In addition, contributions, methodological focuses, and findings of the reviewed articles are discussed. It is observed that MCDM methods are widely used for analyzing barriers, challenges, drivers, enablers, criteria, performances, and practices of SSCM. In recent years, studies have focused on integrating more than one MCDM method to highlight methodological contributions in SSCM; however, in the literature, limited research papers integrate multiple MCDM methods in the area of SSCM. Most of the published articles integrate only two MCDM methods, and integration with other methods, such as optimization and simulation techniques, is missing in the literature. This review paper contributes to the literature by analyzing existing research, identifying research gaps, and proposing new future research opportunities in the area of sustainable supply chain management applying MCDM methods.

ACS Style

Ananna Paul; Nagesh Shukla; Sanjoy Paul; Andrea Trianni. Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review. Sustainability 2021, 13, 7104 .

AMA Style

Ananna Paul, Nagesh Shukla, Sanjoy Paul, Andrea Trianni. Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review. Sustainability. 2021; 13 (13):7104.

Chicago/Turabian Style

Ananna Paul; Nagesh Shukla; Sanjoy Paul; Andrea Trianni. 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review." Sustainability 13, no. 13: 7104.

Journal article
Published: 24 May 2021 in Energy
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Industrial energy efficiency is acknowledged as a cost-effective mean contributing to sustainable development and industrial competitiveness. Implementing energy management practices becomes even more imperative for developing countries, considering their energy usage trends and economic development forecasts. Based on the circumstances, an empirical investigation is conducted on energy efficiency and management practices, as well as barriers and drivers to energy efficiency in the energy-intensive industries of Bangladesh. The study finds that majority of the companies barely implement the energy management practices. Energy audits represent the mostly implemented energy management practice at the industries, though a comprehensive approach on a detailed level is still lacking. In addition, this study finds that the number of dedicated and specialised energy professionals employed in the industries is yet negligible. The cumulated results show that energy efficiency is mostly disrupted due to inadequate support from preeminent administration and bureaucratic intricacy. Energy blueprint cost-saving due to less use of energy and rules and regulations were distinctively signified as most imperative drivers for energy efficiency. On the other hand, lack of information is found to be the most significant barrier to consult energy service companies. Analysis of the country's energy usage and supply-demand relationship points towards insufficient energy efficiency measures and energy management practices in the country. The study also finds that energy efficiency could be improved by 8%–10% through the practice of energy management. Our findings, besides pointing out specific issues to be tackled in the specific context of investigation, pave the way for further research over industrial energy efficiency in developing countries.

ACS Style

A S M Monjurul Hasan; Rashedul Amin Tuhin; Mahfuz Ullah; Taiyeb Hasan Sakib; Patrik Thollander; Andrea Trianni. A comprehensive investigation of energy management practices within energy intensive industries in Bangladesh. Energy 2021, 232, 120932 .

AMA Style

A S M Monjurul Hasan, Rashedul Amin Tuhin, Mahfuz Ullah, Taiyeb Hasan Sakib, Patrik Thollander, Andrea Trianni. A comprehensive investigation of energy management practices within energy intensive industries in Bangladesh. Energy. 2021; 232 ():120932.

Chicago/Turabian Style

A S M Monjurul Hasan; Rashedul Amin Tuhin; Mahfuz Ullah; Taiyeb Hasan Sakib; Patrik Thollander; Andrea Trianni. 2021. "A comprehensive investigation of energy management practices within energy intensive industries in Bangladesh." Energy 232, no. : 120932.

Journal article
Published: 14 February 2021 in Journal of Environmental Management
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Industrial wastewater treatment is gaining significance in literature due to stricter environmental policies and increased environmental awareness. The selection of the wastewater configuration encompasses both the treatment as well as several decisions around wastewater collection and disposal pertaining industrial decision-making sphere. However, so far in the wastewater literature, research has mostly discussed either technical features of wastewater technologies, or wastewater policy issues at broader level, without focusing on the industrial decision-making issues and driving factors leading to the selection of a specific configuration. Starting from a literature review, the present study provides an innovative framework of the possible options for wastewater system configuration, as well as major adoption factors by industrial decision-makers. The factors have been classified according to 7 categories, namely: influent-related, technological, economic/financial, internal socio-cultural, external socio-cultural, regulation, site characteristics. The framework, validated with acknowledgeable experts, policy makers and firms, has been preliminarily applied to Italian and Australian food firms. Our investigation reveals that the framework was able to include all relevant problems faced by industries in the selection of a treatment system configuration; besides, the relative importance of factors has been assessed: legal requirements emerge as the most critical factors, followed by volume and discharge fee, the latter particularly interesting for policy makers purposes, since it may guide the decision-making process. Further, the wastewater volume seems to play a key role in our exploratory investigation, with smaller firms preferring a complete off-site treatment to reduce the complexity, whilst larger firms preferring instead more partial or complete on-site treatment configurations for compliance costs reduction. In conclusion, we have provided policy and managerial implications stemming from the study as well as sketched interesting future research avenues.

ACS Style

Andrea Trianni; Marta Negri; Enrico Cagno. What factors affect the selection of industrial wastewater treatment configuration? Journal of Environmental Management 2021, 285, 112099 .

AMA Style

Andrea Trianni, Marta Negri, Enrico Cagno. What factors affect the selection of industrial wastewater treatment configuration? Journal of Environmental Management. 2021; 285 ():112099.

Chicago/Turabian Style

Andrea Trianni; Marta Negri; Enrico Cagno. 2021. "What factors affect the selection of industrial wastewater treatment configuration?" Journal of Environmental Management 285, no. : 112099.

Journal article
Published: 16 December 2020 in Sustainable Production and Consumption
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The measurement of sustainability within industrial supply chains is becoming increasingly relevant, with both industry and academia calling for the development of a general and manageable set of key performance indicators (KPIs). With more than 2,000 performance measures already identified by the previous literature, the real challenge lays in the development of the right set of indicators. Stemming from a thorough literature review, we propose a novel set of KPIs, based on a Balance Score Card - Supply Chain Operations Reference integrated framework. Whilst including a limited number of KPIs, the proposed set: i) assures a balanced coverage of the sustainability pillars and related intersections; ii) addresses different decision-making levels, financial bases and components of performance; iii) simultaneously tackles the sustainability performance of an entire supply chain. We empirically validated the set in 3 supply chains and 7 focal firms, by assessing its completeness, usefulness and ease of use. The set resulted suitable for different contexts of application and appropriate for the evaluation of the sustainability performance of an overall supply chain. We conclude with remarks for academia, industry and policy-makers, also sketching directions for further research.

ACS Style

Alessandra Neri; Enrico Cagno; Marco Lepri; Andrea Trianni. A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains. Sustainable Production and Consumption 2020, 26, 648 -691.

AMA Style

Alessandra Neri, Enrico Cagno, Marco Lepri, Andrea Trianni. A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains. Sustainable Production and Consumption. 2020; 26 ():648-691.

Chicago/Turabian Style

Alessandra Neri; Enrico Cagno; Marco Lepri; Andrea Trianni. 2020. "A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains." Sustainable Production and Consumption 26, no. : 648-691.

Conference paper
Published: 14 December 2020 in 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
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Industry 4.0 concept is captivating the attention globally in a substantial rate that encompasses industrial digitalization with the means of advanced technical features. Maintaining the highest standard of industrial processes, Industry 4.0 demands to ensure energy efficiency also. Industries must ensure energy efficiency during the process flows, keeping in mind about the energy cost, carbon emission, and resource efficiency. Unfortunately, despite a significant potential for energy efficiency exists, that can be addressed by industries, implementing energy management practices. However, industries are still disinclined to take advantages of such opportunities. Research in this domain has little explored the potential relationships between energy management and Industry 4.0. In the paper, we aim at offering an overview of industrial energy management and related tools as well as Industry 4.0, preliminary discussing potential opportunities and synergies.

ACS Style

A. S. M. Monjurul Hasan; Andrea Trianni. Energy Management: Sustainable Approach Towards Industry 4.0. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2020, 537 -541.

AMA Style

A. S. M. Monjurul Hasan, Andrea Trianni. Energy Management: Sustainable Approach Towards Industry 4.0. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). 2020; ():537-541.

Chicago/Turabian Style

A. S. M. Monjurul Hasan; Andrea Trianni. 2020. "Energy Management: Sustainable Approach Towards Industry 4.0." 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) , no. : 537-541.

Journal article
Published: 09 November 2020 in Journal of Cleaner Production
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Literature has largely investigated barriers to energy efficiency in industrial firms. Recently, research is looking at the non-energy benefits accompanying the adoption of energy efficiency measures that may contribute to overcoming these barriers. In our study we take an innovative perspective by specifically exploring the relationships between energy efficiency measures and other production resources, being assessed by their importance and capability of firms to manage them efficiently. By analysing 10% of Slovenian small and medium-sized manufacturing firms, our exploratory findings show that decision-makers carefully look at the multiple effects (either positive or negative) energy efficiency measures may have on a number of other production resources, particularly on those closer to the production (shop floor). Additionally, companies seem to struggle in efficiently managing the most important production resources, thus suggesting that energy efficiency measures should be looked in close consideration to other resources, which represents a new barrier to energy efficiency not accounted by previous research. Further, we could not detect significant differences between clusters of small versus medium-sized firms and energy intensive versus non-energy intensive ones, differently from previous research that was emphasizing the larger perception of barriers in smaller and less energy intensive firms. Our findings may challenge the discussion over incentive schemes for energy efficiency measures by promoting those with the largest (positive) implications for other production resources.

ACS Style

A. Trianni; E. Cagno; J. Dolšak; N. Hrovatin. Implementing energy efficiency measures: do other production resources matter? A broad study in Slovenian manufacturing small and medium-sized enterprises. Journal of Cleaner Production 2020, 287, 125044 .

AMA Style

A. Trianni, E. Cagno, J. Dolšak, N. Hrovatin. Implementing energy efficiency measures: do other production resources matter? A broad study in Slovenian manufacturing small and medium-sized enterprises. Journal of Cleaner Production. 2020; 287 ():125044.

Chicago/Turabian Style

A. Trianni; E. Cagno; J. Dolšak; N. Hrovatin. 2020. "Implementing energy efficiency measures: do other production resources matter? A broad study in Slovenian manufacturing small and medium-sized enterprises." Journal of Cleaner Production 287, no. : 125044.

Review
Published: 01 November 2020 in Energies
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The necessity to ensure energy efficiency in the industries is of significant importance to attain reduction of energy consumption and greenhouse gases emissions. Energy management is one of the effective features that ensure energy efficiency in the industries. Energy management models are the infancy in the industrial energy domain with practical guidelines towards implementation in the organizations. Despite the increased interest in energy efficiency, a gap exists concerning energy management literature and present application practices. This paper aims to methodologically review the energy management assessment models that facilitate the assessment of industrial energy management. In this context, the minimum requirements model, maturity model, energy management matrix model, and energy efficiency measures characterization framework are discussed with implications. The study concludes with interesting propositions for academia and industrial think tanks delineating few further research opportunities.

ACS Style

A Hasan; Andrea Trianni. A Review of Energy Management Assessment Models for Industrial Energy Efficiency. Energies 2020, 13, 5713 .

AMA Style

A Hasan, Andrea Trianni. A Review of Energy Management Assessment Models for Industrial Energy Efficiency. Energies. 2020; 13 (21):5713.

Chicago/Turabian Style

A Hasan; Andrea Trianni. 2020. "A Review of Energy Management Assessment Models for Industrial Energy Efficiency." Energies 13, no. 21: 5713.

Journal article
Published: 01 October 2020 in Energies
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Understanding the factors driving the implementation of energy efficiency measures in compressed air systems is crucial to improve industrial energy efficiency, given their low implementation rate. Starting from a thorough review of the literature, it is thus clear the need to support companies in the decision-making process by offering an innovative framework encompassing the most relevant factors to be considered when adopting energy efficiency measures in compressed air systems, inclusive of the impacts on the production resources and the operations of a company. The framework, designed following the perspective of the industrial decision-makers, has been validated, both theoretically and empirically, and preliminarily applied to a heterogeneous cluster of manufacturing industries. Results show that, beside operational, energetic, and economic factors, in particular contextual factors such as complexity, compatibility, and observability may highlight critical features of energy efficiency measures whose absence may change the outcome of a decision-making process. Further, greater awareness and knowledge over the important factors given by the implementation of the framework could play an important role in fostering the implementation of energy efficiency measures in compressed air systems. The paper concludes with further research avenues to further promote energy efficiency and sustainability oriented practices in the industrial sector.

ACS Style

Andrea Trianni; Davide Accordini; Enrico Cagno. Identification and Categorization of Factors Affecting the Adoption of Energy Efficiency Measures within Compressed Air Systems. Energies 2020, 13, 5116 .

AMA Style

Andrea Trianni, Davide Accordini, Enrico Cagno. Identification and Categorization of Factors Affecting the Adoption of Energy Efficiency Measures within Compressed Air Systems. Energies. 2020; 13 (19):5116.

Chicago/Turabian Style

Andrea Trianni; Davide Accordini; Enrico Cagno. 2020. "Identification and Categorization of Factors Affecting the Adoption of Energy Efficiency Measures within Compressed Air Systems." Energies 13, no. 19: 5116.

Journal article
Published: 11 March 2020 in Journal of Cleaner Production
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The growing level of attention toward global warming, reduction of non-renewable resources and pollution calls manufacturing firms to implement sustainable, and specifically green initiatives into their supply chains (Green Supply Chain Management, GSCM). So far, too little studies have provided clear empirical evidence on the actual impact of these initiatives on firms’ performance, especially within the European manufacturing context, and on the actual impact of possible drivers on the implementation of the above-mentioned initiative. Thus, the aim of this study is to analyse possible moderation factors that affect the relationships between drivers-practices and practices-performance through a survey carried out in 169 Italian manufacturing firms belonging to a range of different sectors. The moderation analysis shows that some drivers strongly influence the relationships between drivers-practices and practices-performance, and a few contributions from the existing literature are challenged and discussed. Our findings may be particularly interesting for managers and supply chain specialists, as well as for policymakers, who could be inspired by the role of particular drivers on the implementation of GSCM practices, and by the level of performance achievable thanks to the adoption of a set of green practices. As for the academic impact, the issue has been tackled for the first time in an attempt of a comprehensive view, which paves the way to a number of research lines to further investigate both the confirmed and unconfirmed moderations, so as to understand the related rationales in the comprehensive view proposed by the authors.

ACS Style

Guido J.L. Micheli; Enrico Cagno; Gianluca Mustillo; Andrea Trianni. Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production 2020, 259, 121024 .

AMA Style

Guido J.L. Micheli, Enrico Cagno, Gianluca Mustillo, Andrea Trianni. Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production. 2020; 259 ():121024.

Chicago/Turabian Style

Guido J.L. Micheli; Enrico Cagno; Gianluca Mustillo; Andrea Trianni. 2020. "Green supply chain management drivers, practices and performance: A comprehensive study on the moderators." Journal of Cleaner Production 259, no. : 121024.

Journal article
Published: 21 February 2020 in Revista Gestão & Sustentabilidade Ambiental
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The industrial energetic efficiency (EE) is recognized as one of the main factors for the reduction of gas emissions that cause the greenhouse effect and for the improvement of the industrial competiveness. Within this context, many papers of the international literature have proposed different indicators of industrial, economic and environmental behavior, so as to promote the EE inside the industries. However, such proposals do not generally check the result of the joint work for more than one indicator in the organizations, making more global analysis more difficult related to EE. This paper aims to check which environmental, economic and industrial practices indicators influence the EE of the industries. The data have been collected from the framework developed by Trianni et al. (2014), that analysed the main energetic efficiency measures for the technologies: motors, lighting, compressed air and HVAC systems (heating, ventilation and air conditioning). A logistic regression model has been adjusted for understand the relationship the economic, environmental and productive practices behavior on the energetic efficiency. Results suggest that a healthy workplace enables investments in equipment and machinery, allowing the EE inside the industries.

ACS Style

Fábio De Oliveira Neves; Henrique Ewbank; José Arnaldo Frutuoso Roveda; Andrea Trianni; Fernando Pinhabel Marafão; Sandra Regina Monteiro Masalskiene Roveda. ECONOMIC, ENVIRONMENTAL AND PRODUCTIVE PRACTICES INFLUENCE ON THE INDUSTRIAL ENERGETIC EFFICIENCY. Revista Gestão & Sustentabilidade Ambiental 2020, 9, 513 -531.

AMA Style

Fábio De Oliveira Neves, Henrique Ewbank, José Arnaldo Frutuoso Roveda, Andrea Trianni, Fernando Pinhabel Marafão, Sandra Regina Monteiro Masalskiene Roveda. ECONOMIC, ENVIRONMENTAL AND PRODUCTIVE PRACTICES INFLUENCE ON THE INDUSTRIAL ENERGETIC EFFICIENCY. Revista Gestão & Sustentabilidade Ambiental. 2020; 9 ():513-531.

Chicago/Turabian Style

Fábio De Oliveira Neves; Henrique Ewbank; José Arnaldo Frutuoso Roveda; Andrea Trianni; Fernando Pinhabel Marafão; Sandra Regina Monteiro Masalskiene Roveda. 2020. "ECONOMIC, ENVIRONMENTAL AND PRODUCTIVE PRACTICES INFLUENCE ON THE INDUSTRIAL ENERGETIC EFFICIENCY." Revista Gestão & Sustentabilidade Ambiental 9, no. : 513-531.

Conference paper
Published: 01 August 2019 in 2019 Portland International Conference on Management of Engineering and Technology (PICMET)
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ACS Style

Thorsten Lammers; Laura Tomidei; Andrea Trianni. Towards a Novel Framework of Barriers and Drivers for Digital Transformation in Industrial Supply Chains. 2019 Portland International Conference on Management of Engineering and Technology (PICMET) 2019, 1 .

AMA Style

Thorsten Lammers, Laura Tomidei, Andrea Trianni. Towards a Novel Framework of Barriers and Drivers for Digital Transformation in Industrial Supply Chains. 2019 Portland International Conference on Management of Engineering and Technology (PICMET). 2019; ():1.

Chicago/Turabian Style

Thorsten Lammers; Laura Tomidei; Andrea Trianni. 2019. "Towards a Novel Framework of Barriers and Drivers for Digital Transformation in Industrial Supply Chains." 2019 Portland International Conference on Management of Engineering and Technology (PICMET) , no. : 1.

Journal article
Published: 01 July 2019 in Applied Energy
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Electric motor systems (EMS) cover a remarkable share of industrial power consumption. Despite the wide set of apparently cost-effective opportunities to improve energy efficiency in this cross-cutting technology, often decision-makers do not take them, as the detail for a specific decision can be too high, resulting in an implementation rate quite low. In particular, little knowledge of the features that should be considered when deciding to undertake an action in this area represents a serious hurdle. In many cases, information regarding the characteristics of such energy efficiency measures (EEMs) is quite vague. For this reason, in the present study, we present a thorough overview of EEMs for EMS, basing on an extensive review of scientific and industrial literature. By highlighting their characteristics and productivity benefits, most of which impacting on the adoption decision-making process, we re-categorise EEMs for EMS, offering specific detail over single EEMs and thus support to industrial decision-makers. EEMs are presented according to four main groups, as follows: hardware, motor system drives, management of motors in the plant, and power quality. The novel classification is helpful to support research for the development of a new framework to represent the main factors that affect the adoption of EEMs for EMS. Further, it may help the identification and quantification of productivity benefits for those EEMs. Finally, it could result in a valuable tool offering different perspectives in the decision-making of industrial managers and technology suppliers, as well as industrial policy-makers.

ACS Style

Andrea Trianni; Enrico Cagno; Davide Accordini. Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption. Applied Energy 2019, 252, 113481 .

AMA Style

Andrea Trianni, Enrico Cagno, Davide Accordini. Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption. Applied Energy. 2019; 252 ():113481.

Chicago/Turabian Style

Andrea Trianni; Enrico Cagno; Davide Accordini. 2019. "Energy efficiency measures in electric motors systems: A novel classification highlighting specific implications in their adoption." Applied Energy 252, no. : 113481.

Journal article
Published: 18 May 2019 in Journal of Cleaner Production
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Improved sustainability of industrial activities and measurement of its performance are becoming prime topics of discussion among policy-makers and industrial decision-makers. The current literature proposes a number of performance measurement systems and related indicators, but mainly lack a real capability to address all sustainability pillars and their intersections, as well as scalability to firms of different sizes, availability of internal resources, and maturity over sustainability issues, suggesting that further research is needed in this area. Building on the literature, our work develops a new framework for the evaluation of industrial sustainability performance, proposing three different Industrial Sustainability Performance Measurement Systems (ISPMSs), with a decreasing number of indicators suitable in different contexts of application. In the framework, selection mechanisms have been conceived and used to reduce the number of indicators considered, while still guaranteeing complete and adequate coverage of all sustainability pillars, as well as their intersections. The framework has been tested through semi-structured case studies in heterogeneous Northern Italian manufacturing firms. The preliminary results are sound as the different ISPMSs proved to be complete, useful, and easy to use. The proposed ISPMSs provide industrial decision-makers with a scalable framework applicable in different contexts, allowing benchmarking and development of specific implementation strategies for increased sustainability, and provide policy-makers with a framework to develop a more effective regulatory policy, better understanding how sustainability performance can be addressed in an integrated manner across industrial firms.

ACS Style

Enrico Cagno; Alessandra Neri; Mickey Howard; Gianluca Brenna; Andrea Trianni. Industrial sustainability performance measurement systems: A novel framework. Journal of Cleaner Production 2019, 230, 1354 -1375.

AMA Style

Enrico Cagno, Alessandra Neri, Mickey Howard, Gianluca Brenna, Andrea Trianni. Industrial sustainability performance measurement systems: A novel framework. Journal of Cleaner Production. 2019; 230 ():1354-1375.

Chicago/Turabian Style

Enrico Cagno; Alessandra Neri; Mickey Howard; Gianluca Brenna; Andrea Trianni. 2019. "Industrial sustainability performance measurement systems: A novel framework." Journal of Cleaner Production 230, no. : 1354-1375.

Journal article
Published: 09 May 2019 in Journal of Cleaner Production
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Measuring industrial sustainability performance in manufacturing firms is still a major challenge for both policy and industrial decision makers, with many firms, particularly small and medium enterprises, struggling to properly engage with them. Hence, to understand the level of adoption of industrial sustainability indicators and the issues preventing their effective measurement, and stimulate further research in this area, a multiple case analysis of 26 small and medium manufacturing enterprises across Germany and Italy operating in the chemical and metalworking sectors was conducted. The findings show that only 18 indicators are in place on average. Furthermore, too many firms still focus almost exclusively on the economic pillar of sustainability, while social and environmental pillars are addressed almost exclusively for compliance with legislation. Moreover, the research suggests that contextual factors may influence the firms’ perspective on sustainability and the way it is managed, as well as the certifications held by firms, influencing, in turn, the number and types of indicators considered. An exploratory investigation allowed identification of several important open issues, leading to future research avenues, and in particular towards the development of a novel model to gauge sustainability in industrial activities, as well as adoption of policy-making measures for further emphasis on environmental and social pillars when promoting the adoption of sustainability indicators.

ACS Style

Andrea Trianni; Enrico Cagno; Alessandra Neri; Mickey Howard. Measuring industrial sustainability performance: Empirical evidence from Italian and German manufacturing small and medium enterprises. Journal of Cleaner Production 2019, 229, 1355 -1376.

AMA Style

Andrea Trianni, Enrico Cagno, Alessandra Neri, Mickey Howard. Measuring industrial sustainability performance: Empirical evidence from Italian and German manufacturing small and medium enterprises. Journal of Cleaner Production. 2019; 229 ():1355-1376.

Chicago/Turabian Style

Andrea Trianni; Enrico Cagno; Alessandra Neri; Mickey Howard. 2019. "Measuring industrial sustainability performance: Empirical evidence from Italian and German manufacturing small and medium enterprises." Journal of Cleaner Production 229, no. : 1355-1376.

Journal article
Published: 16 February 2019 in Applied Energy
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There is growing interest worldwide in more effective policies to promote industrial energy efficiency and mitigate climate change. The White Certificates Scheme is a market-based mechanism aimed at stimulating the adoption of Energy Efficiency Measures. The Italian White Certificates scheme - one of the most long-standing and articulated - is a successful example of industrial energy efficiency policies, considered an interesting and remarkable case by other countries, especially due to its robustness in terms of the volume of certificates traded. Despite the considerable interest in White Certificates, an in-depth analysis of the economic efficiency of the mechanism from the perspective of different stakeholders is still lacking. To address this gap, this study develops a cost-benefit evaluation framework and a multi-stakeholder economic efficiency analysis of the Italian White Certificates scheme focusing on the Italian State, utilities, players in the energy efficiency value chain, and energy users. Our findings (also corroborated with sensitivity analyses) show that the White Certificates Scheme has led to several positive impacts for almost all stakeholders involved, with the exception of energy utilities that have suffered a major economic loss mainly due to a reduction of energy sold to end users. Such loss is likely to promote a deep change in the role of utilities in the energy market in terms of the services they offer and their business models. Our findings, in addition to providing useful directions for future research, offer interesting insights and implications for policymakers who may take inspiration from the pros and cons of the Italian White Certificates scheme when promoting energy efficiency through incentive mechanisms.

ACS Style

Simone Franzò; Federico Frattini; Enrico Cagno; Andrea Trianni. A multi-stakeholder analysis of the economic efficiency of industrial energy efficiency policies: Empirical evidence from ten years of the Italian White Certificate Scheme. Applied Energy 2019, 240, 424 -435.

AMA Style

Simone Franzò, Federico Frattini, Enrico Cagno, Andrea Trianni. A multi-stakeholder analysis of the economic efficiency of industrial energy efficiency policies: Empirical evidence from ten years of the Italian White Certificate Scheme. Applied Energy. 2019; 240 ():424-435.

Chicago/Turabian Style

Simone Franzò; Federico Frattini; Enrico Cagno; Andrea Trianni. 2019. "A multi-stakeholder analysis of the economic efficiency of industrial energy efficiency policies: Empirical evidence from ten years of the Italian White Certificate Scheme." Applied Energy 240, no. : 424-435.

Journal article
Published: 01 February 2019 in Energy Procedia
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Electric motor systems account for a remarkable share of total industrial power consumption (even more than 70% in some countries). Despite the wide set of effective opportunities to improve energy efficiency in this cross-cutting technology, the implementation rate is still quite low. Among the barriers affecting the adoption of such measures - identified by previous literature -, little knowledge of the factors that should be taken into account when deciding to undertake an action in this area emerges. Therefore, in the present study we present an innovative framework representing factors affecting the adoption of measures for improved efficiency in electric motor systems. Such factors have been classified according to several categories as follows: compatibility, economic, energy benefits, production-related and operations-related non-energy benefits and losses, synergies, complexity, personnel, and additional technical features, so to fully describe the relevant elements to be considered when considering the adoption of energy efficiency measures (EEMs) in electric motor systems (EMS). The framework may represent a valuable instrument to support industrial decision-makers in the adoption of EEMs for EMS.

ACS Style

Enrico Cagno; Davide Accordini; Andrea Trianni. A Framework to Characterize Factors Affecting the Adoption of Energy Efficiency Measures Within Electric Motors Systems. Energy Procedia 2019, 158, 3352 -3357.

AMA Style

Enrico Cagno, Davide Accordini, Andrea Trianni. A Framework to Characterize Factors Affecting the Adoption of Energy Efficiency Measures Within Electric Motors Systems. Energy Procedia. 2019; 158 ():3352-3357.

Chicago/Turabian Style

Enrico Cagno; Davide Accordini; Andrea Trianni. 2019. "A Framework to Characterize Factors Affecting the Adoption of Energy Efficiency Measures Within Electric Motors Systems." Energy Procedia 158, no. : 3352-3357.

Review
Published: 01 February 2019 in Energy Procedia
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Electric motor systems (EMS) play the lion’s share in industrial power consumption. Many opportunities for energy efficiency - most of which apparently cost-effective - can be found, but often decision-makers do not take them as the detail for a specific decision can be too high. In many cases, information regarding the characteristics of such energy efficiency measures (EEMs) is quite vague. For this reason, in the present study we offer a thorough overview of EEMs for EMS, basing on an extensive review of scientific and industrial literature, aimed at offering specific detail over single EEMs and thus support to industrial decision-makers. EEMs are presented according to four main groups, as follows: hardware, motor system drives, management of motors in the plant, and power quality. The new categorization could be helpful to support research for the development of a novel framework to represent the main factors the affect the adoption of EMS for EMS.

ACS Style

Andrea Trianni; Enrico Cagno; Davide Accordini. A review of Energy Efficiency Measures Within Electric Motors Systems. Energy Procedia 2019, 158, 3346 -3351.

AMA Style

Andrea Trianni, Enrico Cagno, Davide Accordini. A review of Energy Efficiency Measures Within Electric Motors Systems. Energy Procedia. 2019; 158 ():3346-3351.

Chicago/Turabian Style

Andrea Trianni; Enrico Cagno; Davide Accordini. 2019. "A review of Energy Efficiency Measures Within Electric Motors Systems." Energy Procedia 158, no. : 3346-3351.

Original article
Published: 14 December 2018 in Energy Efficiency
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Energy Efficiency is an international journal dedicated to research topics connected to energy with a focus on end-use efficiency issues. In 2018, the journal celebrates its 10th anniversary. In order to mark it and analyze not only how the journal has been performing over the years, but also which are the trends for academic debate and research in this journal, this article presents a bibliometric overview of the publication and citation structure of the journal during period 2008–2017. The study relies on the Web of Science Core Collection and the Scopus database to collect the bibliographic results. Additionally, the work exploits the visualization of similarities (VOS) viewer software to map graphically the bibliographic material. The research analyses the most cited papers and the most popular keywords. Moreover, the paper studies how the journal connects with other international journals and identifies the most productive authors, institutions, and countries. The results indicate that the journal has rapidly grown over the years, obtained a merited position in the scientific community, with contributions from authors all over the world (with Europe as the most productive region). Moreover, the journal has focused so far mainly on energy efficiency issues in close relationship with policies and incentives, corporate energy efficiency, consumer behavior, and demand-side management programs, with both industrial, building and transport sectors widely involved. Our discussion concludes with suggested future research avenues, in particular towards coordinated efforts from different disciplines (technical, economic, and sociopsychological ones) to address the emerging energy efficiency challenges.

ACS Style

Andrea Trianni; José M. Merigó; Paolo Bertoldi. Ten years of Energy Efficiency: a bibliometric analysis. Energy Efficiency 2018, 1 -23.

AMA Style

Andrea Trianni, José M. Merigó, Paolo Bertoldi. Ten years of Energy Efficiency: a bibliometric analysis. Energy Efficiency. 2018; ():1-23.

Chicago/Turabian Style

Andrea Trianni; José M. Merigó; Paolo Bertoldi. 2018. "Ten years of Energy Efficiency: a bibliometric analysis." Energy Efficiency , no. : 1-23.

Journal article
Published: 11 December 2018 in Journal of Cleaner Production
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Industrial energy efficiency has been widely recognized as a major contributor to the reduction of greenhouse gases emissions and improvement of industrial competitiveness. Nevertheless, a broad set of studies have pointed out the existence of barriers limiting the adoption of promising Energy Efficiency Measures (EEMs). Recently, scholars have shown the relevance of the so-called "non-energy benefits" (NEBs) coming from the adoption of EEMs for overcoming those barriers. Still, the existence of such benefits has been pointed out from specific studies and manuals for practitioners, but an overall framework describing them in terms of savings and benefits, as well as technical and management implications, is missing yet. Moreover, a considerable part of the scholars and of the practitioners just focuses on the identification and definition of the positive benefits deriving from these measures after they have been completely adopted, thus neglecting to describe the full set of both positive and negative effects occurring also during the implementation phase. Thus, starting from a literature review of scientific as well as practitioners' studies, we have proposed a novel framework and characterization of the relevant items to be considered by an industrial decision-maker when deciding whether to adopt an EEM considering both the implementation and service phases. Hence, by taking this perspective, we have tested and validated the framework and the characterization in a two-step process: firstly, considering a set of EEMs well diffused and adopted in industry; secondly, investigating benefits and losses in ad-hoc selected manufacturing companies. Finally, considerations and implications are drawn from the preliminary validation and suggestion for further research are proposed, for both industrial decision-making as well as policy-making purposes.

ACS Style

Enrico Cagno; Davide Moschetta; Andrea Trianni. Only non-energy benefits from the adoption of energy efficiency measures? A novel framework. Journal of Cleaner Production 2018, 212, 1319 -1333.

AMA Style

Enrico Cagno, Davide Moschetta, Andrea Trianni. Only non-energy benefits from the adoption of energy efficiency measures? A novel framework. Journal of Cleaner Production. 2018; 212 ():1319-1333.

Chicago/Turabian Style

Enrico Cagno; Davide Moschetta; Andrea Trianni. 2018. "Only non-energy benefits from the adoption of energy efficiency measures? A novel framework." Journal of Cleaner Production 212, no. : 1319-1333.