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Applied Sciences
Special Issues
Polygeneration, Energy Efficiency, and Sustainability
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Polygeneration, Energy Efficiency, and Sustainability

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (15 December 2022) | Viewed by 3877

Special Issue Editor

Dr. Angelo Algieri

E-Mail Website
Guest Editor
Department of Mechanical, Energy and Management Engineering, University of Calabria, Via P. Bucci, Cubo 44C, 87036 Rende, Italy
Interests: renewable energies; innovative energy systems; cogeneration; polygeneration; organic Rankine cycle; internal combustion engines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editor is pleased to invite authors to contribute to the Special Issue “Polygeneration, energy efficiency, and sustainability”, which will be published in Applied Sciences.

The development of innovative energy systems and the efficient exploitation of renewable resources represent the cornerstones to promote a faster and softer transition from fossil fuels and traditional technologies to cleaner and more sustainable energy solutions. In this framework, polygeneration solutions and high-efficiency energy systems offer multiple benefits, due to performance improvements, and decreased primary energy supply and costs. Furthermore, the distributed production from renewable resources represents a fundamental factor in increasing sustainability and decreasing greenhouse gas (GHG) emissions.

This Special Issue aims to provide a forum for information and discussion on cutting-edge research and recent advances in polygeneration, energy efficiency and sustainability, as well as promote their development and faster spreading. Articles that present original results and case studies are particularly encouraged. Both theoretical and experimental works are welcome, as well as comprehensive reviews and survey papers.

The topics of interest include, but are not limited to, polygeneration, integrated multi-source energy systems, energy efficiency, innovative systems for GHG emission mitigation, sustainability, review and economic studies on innovative and traditional solutions, case studies, and best practices.

Dr. Angelo Algieri
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • polygeneration
  • renewable energy
  • energy efficiency
  • small- and micro-scale
  • innovative energy systems
  • economic analysis
  • greenhouse gas mitigation
  • sustainability

Published Papers (2 papers)

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Research

14 pages, 1813 KiB  
Article
ISO 50001 Data Driven Methods for Energy Efficiency Analysis of Thermal Power Plants
by Francesco Grimaccia, Alessandro Niccolai, Marco Mussetta and Giuseppe D’Alessandro
Appl. Sci. 2023, 13(3), 1368; https://doi.org/10.3390/app13031368 - 20 Jan 2023
Cited by 3 | Viewed by 1838
Abstract
This paper proposes an energy management system based on an Artificial Neural Network (ANN) to be integrated with the standard ISO 50001 and aims to describe the definition and the enhancement of the energy baselines by means of artificial intelligence techniques applied and [...] Read more.
This paper proposes an energy management system based on an Artificial Neural Network (ANN) to be integrated with the standard ISO 50001 and aims to describe the definition and the enhancement of the energy baselines by means of artificial intelligence techniques applied and tested on the real electrical absorption data of the auxiliary units of different thermal power plants in Italy. Power plant optimized operations are important both for cost and energy performance reasons with related effects on the environment in the next future energy transition scenario. The improvement of the energy baselines consists in determining more accurate consumption monitoring models that are able to track inefficiencies and absorption drifts through data analytics and Artificial Intelligence. Starting from the analysis of the energy vectors at the production site level, we performed a multi-scale analysis to define the consumption at macro areas level and finally find the most relevant consumption units within the plants. A comparison of different ANNs applied to several real power plant data was performed to model complex plant architecture and optimize energy savings with respect to pre-set thresholds according to the ISO 50001 standard procedure. The energy baselines are determined through the analysis of the data available in the power plants’ Distributed Control System (DCS), and we can identify the consumption derived from the unit’s proper operation. Based on the reported numerical simulations, improved baselines have been reached up to a 5% threshold for different plant sub-units, thus representing a relevant overall saving in terms of alert threshold definition and related control efficiency: a potential saving of about 140 MWh throughout the considered three-year dataset was obtained taking into account a cooling tower sub-unit, representing a considerable economic benefit. The results obtained highlight the neural technique efficiency in defining more accurate energy baselines and represents a valuable tool for large energy plant asset management to face relevant energy drifts observed in the last years of plant operation. Full article
(This article belongs to the Special Issue Polygeneration, Energy Efficiency, and Sustainability)
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22 pages, 1633 KiB  
Article
A Sustainable Polygeneration System for a Residential Building
by Javier Uche, Ignacio Zabalza, Luis G. Gesteira, Amaya Martínez-Gracia and Sergio Usón
Appl. Sci. 2022, 12(24), 12992; https://doi.org/10.3390/app122412992 - 18 Dec 2022
Cited by 5 | Viewed by 1600
Abstract
In line with the decarbonization of the domestic sector to meet the 2050 climate neutrality targets, this paper describes the energy, economic, and environmental analysis of a set of different novel configurations of polygeneration installations to provide electricity, air conditioning, domestic hot water, [...] Read more.
In line with the decarbonization of the domestic sector to meet the 2050 climate neutrality targets, this paper describes the energy, economic, and environmental analysis of a set of different novel configurations of polygeneration installations to provide electricity, air conditioning, domestic hot water, and desalinated water for a building of 80 dwellings. All arrangements were designed to cover 100% of the five demands required in the building with renewable energy only, from photovoltaic (PV) and photovoltaic-thermal (PVT) panels and biomass backup boilers (BB). Electricity can be sold to or purchased from the grid without electrical storage with batteries. Additional electricity generation with thermoelectric generators (TEG) coupled to the PVTs, and the BB was explicitly analyzed. The choice of electrically or thermally activated technologies (heat pump, HP/single-effect absorption chiller, SEAC for cooling and multi-effect distillation, MED/reverse osmosis, RO for desalination) created four configurations from the basic structure based on solar and biomass sources. Thus, the paper has studied four designs in detail and applied them to three case studies corresponding to different locations in Spain. They were modeled with TRNSYS and included specific models for desalination technologies. Both structures provide important energy and CO2 savings concerning the conventional supply of the building demands. The novel life-cycle analysis approach further increases the lifetime CO2 savings for all configurations as well. The electric option (the combination of HP and RO for cooling and desalting) was, by far, the most attractive solution in terms of liability and lower investment required in the three case studies. Full article
(This article belongs to the Special Issue Polygeneration, Energy Efficiency, and Sustainability)
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