Assessment and Optimization of Energy Efficiency: 2nd Edition

A special issue of Resources (ISSN 2079-9276).

Deadline for manuscript submissions: 21 September 2026 | Viewed by 705

Special Issue Editors


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Guest Editor
Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, AN, Italy
Interests: advanced process control; automation; model predictive control; Petri nets; discrete event systems (DESs); process modeling; energy efficiency; steel industries; cement industries; water distribution networks; hydroelectric power plants; district heating; HVAC; process control; optimization; process monitoring; industry 4.0; resources management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, AN, Italy
Interests: advanced process control; model predictive control; process modeling; automation; energy efficiency; steel industries; cement industries; water distribution networks; hydroelectric power plants; district heating; HVAC; process control; process monitoring; industry 4.0; resources management; decision support systems; optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A game-changing nudge is needed in the field of assessment and optimization of energy efficiency in order to significantly contribute to the twin transition challenge (energy transition and digital transition). Researchers, engineers, and practitioners of different disciplines and areas must act within these multidisciplinary challenges in order to design and implement advanced strategies oriented toward sustainability and the rational use of all types of resources, e.g., natural resources and energy resources. Strategic projects must be put into practice to effectively guarantee advanced design, retrofit, operation, and maintenance policies for industrial and non-industrial processes. In these fields, control systems, decision support systems, and expert systems can cover a key role through specific drivers and tools, e.g., data selection, acquisition, storage, and analysis, advanced process control, optimization, and artificial intelligence. The present Special Issue aims to investigate the benefits of these practices and policies across a wide range of sectors.

Dr. Silvia Maria Zanoli
Dr. Crescenzo Pepe
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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Keywords

  • natural resources management
  • energy resources management
  • rational use of resources
  • sustainability
  • decision support systems
  • expert systems
  • data analysis
  • advanced process control
  • optimization
  • artificial intelligence

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Published Papers (1 paper)

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Research

47 pages, 1761 KB  
Article
Carbon Emissions Modeling of Coal and Natural Gas Use in Poland’s Net-Zero Energy Transition
by Bożena Gajdzik, Radosław Wolniak, Dominik Bałaga and Wiesław Grebski
Resources 2026, 15(4), 58; https://doi.org/10.3390/resources15040058 - 20 Apr 2026
Viewed by 427
Abstract
This study develops econometric models to examine greenhouse gas emissions associated with coal and natural gas consumption in Poland between 2015 and 2023. Poland has one of the most carbon-intensive energy systems in Europe. Three complementary log–log econometric models were estimated: a model [...] Read more.
This study develops econometric models to examine greenhouse gas emissions associated with coal and natural gas consumption in Poland between 2015 and 2023. Poland has one of the most carbon-intensive energy systems in Europe. Three complementary log–log econometric models were estimated: a model explaining total CO2 emissions, a model assessing emission intensity (CO2 per unit of GDP), and a model capturing short-term variations in emission intensity. The results demonstrate that coal consumption remains the dominant determinant of absolute emissions, whereas the expansion of renewable energy significantly contributes to lowering the carbon intensity of economic growth. However, short-term fluctuations in emission intensity are still largely influenced by changes in fossil fuel consumption patterns. The findings highlight the gradual and sequential character of Poland’s energy transition, where gains in environmental efficiency precede a consistent reduction in total emissions. The proposed modeling framework offers an empirical basis for evaluating the effectiveness of climate and energy policies and can support the formulation of decarbonization strategies in economies heavily reliant on fossil fuels. Full article
(This article belongs to the Special Issue Assessment and Optimization of Energy Efficiency: 2nd Edition)
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