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Optimal Design of Polygeneration Systems for Buildings

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 5960

Special Issue Editors


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Guest Editor
1. University Center of Defense, Academia General Militar, 50090 Zaragoza, Spain
2. Group of Thermal Engineering and Energy Systems (GITSE) of Aragon Institute of Engineering Research (I3A), Department of Mechanical Engineering, Universidad de Zaragoza, 50018 Zaragoza, Spain
Interests: building; energy systems; thermal energy systems; CHP; optimization; thermoeconomics

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Guest Editor
1. Department of Mechanical Engineering, Universidad de Zaragoza, 50018 Zaragoza, Spain
2. Group of Thermal Engineering and Energy Systems (GITSE) of Aragon Institute of Engineering Research (I3A) , Department of Mechanical Engineering, Universidad de Zaragoza, 50018 Zaragoza, Spain
Interests: building; thermodynamics; energy efficiency; thermoeconomics; energy systems; analysis

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute an article to this Special Issue titled “Optimal Design of Polygeneration Systems for Buildings”, which will be published in the journal Energies.

Energy demand from buildings is on the rise, mainly driven by growing space heating and cooling loads for thermal comfort and electricity consumption by household appliances. Meanwhile, polygeneration and its main sub-systems—combined heat and power (CHP) and combined cooling, heat and power (CCHP)—have been successfully applied to industrial applications for decades, promoting (thanks to an effective process integration) primary energy savings, lower unit costs of production, and less pollutant emissions relative to conventional separate production. Polygeneration generally refers to the combined production of electricity, heating, cooling, refrigeration, freshwater, hydrogen, biofuels, and/or any other useful energy product. Moreover, polygeneration systems offer great flexibility to exploit renewable energy sources and integrate energy storage, thereby allowing for a transition toward a low-carbon energy supply.

In this context, polygeneration provides a timely opportunity to tackle the growing energy demand from buildings with cost-efficiency and environmental sustainability. However, an appropriate design procedure is required in order to achieve these benefits. The major challenge of the optimal design of polygeneration systems for buildings lies in the complexity of the decisions to be taken: multiple energy resources, multiple energy products, multiple technology options, and multiple temporal scales.

This Special Issue aims to gather the latest accomplishments in the field of polygeneration systems design optimization for buildings considering energy efficiency, economic benefits, environmental impacts, and/or regulatory conditions. The contributions to this Special Issue are expected to address current and new paradigms, targeting the incorporation of renewable energy sources, the integration of new and emerging technologies (including energy storage systems), and the efficient management of the production of thermal and electrical energy. Other topics of interest are efficient thermal integration given the wide range of temperatures involved, and the effective recovery of residual heat. The modelling and design optimization of hybrid/renewable polygeneration systems of various scales are appropriate.

Original research articles and reviews are welcome in this Special Issue. Research areas may include (but are not limited to) the following:

  • Synthesis, design, and operation optimization of polygeneration systems for buildings.
  • Multiobjective optimization of polygeneration systems for buildings from energy, exergy, economic, and/or environmental viewpoints.
  • Design optimization and analysis of hybrid/renewable polygeneration systems for buildings.
  • Design optimization and analysis of polygeneration systems with new and emerging technologies.
  • Thermal and/or electrical energy storage integration into polygeneration systems for buildings.
  • Modelling and optimization of polygeneration systems for buildings with waste heat recovery and thermal integration considerations.
  • Implementation of policy and regulatory aspects into the optimal design of polygeneration systems for buildings.
  • Control strategies, energy system management, and operation scheduling.
  • Distributed polygeneration systems and district energy networks.
  • Thermoeconomic assessments and allocation methods for monetary costs and environmental impacts in polygeneration systems for buildings.

We look forward to receiving your contributions.

Prof. Dr. Eduardo Antonio Pina
Prof. Dr. Miguel Ángel Lozano Serrano
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 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. Energies 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 2600 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

  • cogeneration (CHP) and trigeneration (CCHP) systems
  • multi-energy systems
  • hybrid renewable polygeneration systems
  • synthesis and design optimization
  • distributed polygeneration systems
  • thermal/electrical energy storage
  • thermal integration
  • thermoeconomics and life cycle assessment
  • energy management and control strategies

Published Papers (2 papers)

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Research

21 pages, 68967 KiB  
Article
Design and Operation of a Polygeneration System in Spanish Climate Buildings under an Exergetic Perspective
by Ana Picallo-Perez and Jose Maria Sala-Lizarraga
Energies 2021, 14(22), 7636; https://doi.org/10.3390/en14227636 - 15 Nov 2021
Cited by 2 | Viewed by 1137
Abstract
This work defines and analyzes the performance of a polygeneration system in five different locations in Spain to maintain the thermal comfort and air quality of an office building. The facility is based on a chiller and a CHP engine with PV panels [...] Read more.
This work defines and analyzes the performance of a polygeneration system in five different locations in Spain to maintain the thermal comfort and air quality of an office building. The facility is based on a chiller and a CHP engine with PV panels that provide almost all the electricity demand of the chiller. According to the energy performance analysis results, the installation working in Bilbao is a full polygeneration system since no electricity needs to be imported from the grid in summer. To quantify the energy savings related to a separated production facility, polygeneration indicators (percentage of savings PES/PExS and equivalent electric efficiency EEE/EExE) have been calculated in energy and exergy terms. The main motivation for using exergy is based on the ambiguity that can arise from the point of view of the First Law. As expected, the exergetic indicators have lower values than the energetic ones. In addition, an in-depth analysis was conducted for the air-handling unit components. The study shows the behavior of components over the year and the efficiency values from both an energy and exergy point of view. From these facts, the need arises to develop methodologies based on exergy. Full article
(This article belongs to the Special Issue Optimal Design of Polygeneration Systems for Buildings)
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16 pages, 7921 KiB  
Article
Design of a Novel Remote Monitoring System for Smart Greenhouses Using the Internet of Things and Deep Convolutional Neural Networks
by Adel Mellit, Mohamed Benghanem, Omar Herrak and Abdelaziz Messalaoui
Energies 2021, 14(16), 5045; https://doi.org/10.3390/en14165045 - 17 Aug 2021
Cited by 35 | Viewed by 4236
Abstract
To support farmers and improve the quality of crops production, designing of smart greenhouses is becoming indispensable. In this paper, a novel prototype for remote monitoring of a greenhouse is designed. The prototype allows creating an adequate artificial environment inside the greenhouse (e.g., [...] Read more.
To support farmers and improve the quality of crops production, designing of smart greenhouses is becoming indispensable. In this paper, a novel prototype for remote monitoring of a greenhouse is designed. The prototype allows creating an adequate artificial environment inside the greenhouse (e.g., water irrigation, ventilation, light intensity, and CO2 concentration). Thanks to the Internet of things technique, the parameters controlled (air temperature, relative humidity, capacitive soil moisture, light intensity, and CO2 concentration) were measured and uploaded to a designed webpage using appropriate sensors with a low-cost Wi-Fi module (NodeMCU V3). An Android mobile application was also developed using an A6 GSM module for notifying farmers (e.g., sending a warning message in case of any anomaly) regarding the state of the plants. A low-cost camera was used to collect and send images of the plants via the webpage for possible diseases identification and classification. In this context, a deep learning convolutional neural network was developed and implemented into a Raspberry Pi 4. To supply the prototype, a small-scale photovoltaic system was built. The experimental results showed the feasibility and demonstrated the ability of the prototype to monitor and control the greenhouse remotely, as well as to identify the state of the plants. The designed smart prototype can offer real-time remote measuring and sensing services to farmers. Full article
(This article belongs to the Special Issue Optimal Design of Polygeneration Systems for Buildings)
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