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 2773

Editors


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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

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Guest Editor
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: control system design; advanced process control; model predictive control; process modelling
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

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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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Related Special Issue

Published Papers (2 papers)

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Research

49 pages, 2894 KB  
Article
Integrated Assessment of Photovoltaic Systems in Multi-Family Buildings as a Strategy for Climate Change Mitigation and Urban Energy Sustainability
by Cesar Yahir Canales Barrientos, Fredy Alberto Aliaga Yupanqui, Yoisdel Castillo Alvarez, Reinier Jiménez Borges, Luis Angel Iturralde Carrera, Berlan Rodríguez Pérez, José Manuel Álvarez-Alvarado and Juvenal Rodríguez-Reséndiz
Resources 2026, 15(5), 70; https://doi.org/10.3390/resources15050070 - 20 May 2026
Viewed by 838
Abstract
Decarbonizing the building sector requires integrating on-site renewable generation with systematic energy management. Among the most widely adopted alternatives are photovoltaic (PV) systems in buildings; however, they are often implemented as a standalone technological intervention (size–install–estimate savings), without being formally incorporated into an [...] Read more.
Decarbonizing the building sector requires integrating on-site renewable generation with systematic energy management. Among the most widely adopted alternatives are photovoltaic (PV) systems in buildings; however, they are often implemented as a standalone technological intervention (size–install–estimate savings), without being formally incorporated into an Energy Management System (EnMS) aimed at continuous improvement. In this context, this research addresses this gap through an integrated methodological framework aligned with ISO 50001, in which PV is explicitly included in energy performance management through energy review, the definition of an Energy Baseline (EnB), and the monitoring of Energy Performance Indicators (EnPIs) within the PDCA cycle. The approach articulates the analytical sizing of the PV system based on electricity demand and solar resources; its validation through simulation to ensure operational consistency and a technical, economic, and environmental assessment that translates PV generation into a verifiable reduction in energy imported from the grid and, consequently, into traceable improvements in EnPI under an audit-compatible scheme. The methodology is demonstrated in a multi-family building in Chorrillos, Lima (Peru), where a 14.5 kWp rooftop PV system (25 modules of 580 Wp) is designed to maximize self-consumption during daylight hours. The results show technical performance consistent with the demand profile, economic viability under the conditions of the case, and environmental benefits from replacing grid electricity, along with offsets associated mainly with the manufacture of PV components. The residual gap between the Post-PV EnPIs and the ISO 50001 target confirms that PV integration is a necessary but not sufficient first-cycle action within a comprehensive building decarbonization strategy, with demand-side management and envelope improvements identified as subsequent PDCA cycle priorities. In summary, the central contribution is not the PV sizing itself, but its operational and traceable integration within ISO 50001, making PV a quantifiable, verifiable, and scalable energy improvement action for residential buildings in emerging economies. Full article
(This article belongs to the Special Issue Assessment and Optimization of Energy Efficiency: 2nd Edition)
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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
Cited by 1 | Viewed by 1416
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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