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New Insights into Hybrid Renewable Energy Systems in Buildings
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New Insights into Hybrid Renewable Energy Systems in Buildings

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

Deadline for manuscript submissions: 23 December 2024 | Viewed by 1975

Special Issue Editors

Prof. Dr. Matteo Manganelli

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Guest Editor
Department of Fusion and Technology for Nuclear Safety and Security, ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development), 00044 Rome, Italy
Interests: electric systems for nuclear fusion experiments; building automation; energy management of buildings; small-scale energy storage; integration of electrical mobility; bioclimatic architecture
Special Issues, Collections and Topics in MDPI journals
Dr. Cristina Moscatiello

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Guest Editor
Department of Astronautics, Electrical and Energetic Engineering, University of Rome La Sapienza, 00184 Rome, Italy
Interests: energy communities; smart microgrids; electrical vehicles; lighting; renewable energies; home and building automation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Considering the ever-growing importance of sustainable energy solutions and the increasing need for efficient, eco-friendly energy utilization within the built environment, the interest in hybrid renewable energy systems within the build environment has emerged. Buildings play a significant role in the energy cycle and in sustainability. The integration of various energy generation and storage technologies is regarded as promising towards efficient and sustainable energy systems.

This Special Issue of Energies (IF = 3.252; Cite Score: 5.0), entitled "New Insights into Hybrid Renewable Energy Systems in Buildings" Special Issue, focuses on exploring advancements in the integration of hybrid renewable energy systems within the built environment. This Special Issue welcomes original research, studies, and reviews covering various aspects of the topic, including, but not limited to:

  • Integration of diverse renewable energy generation technologies in the building context.
  • Innovative control strategies for optimizing the performance of hybrid energy systems.
  • Integration and management of energy storage systems within building structures.
  • Synergy between electrical mobility solutions and buildings.
  • Users’ behavior and influence on the design and operation of buildings.
  • Advances in energy storage and conversion technologies.
  • Environmental impact and sustainability of solutions.

Contributions selected for this Special Issue will undergo a rigorous peer-review process to ensure the timely and wide dissemination of valuable research outcomes and findings.

Researchers, experts, and practitioners are encouraged to submit their original work to this Special Issue. I am looking forward to receiving your outstanding research contributions.

Prof. Dr. Matteo Manganelli
Dr. Cristina Moscatiello
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

  • hybrid renewable energy
  • electrical vehicles
  • energy storage
  • smart buildings
  • building management system

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Published Papers (3 papers)

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Research

20 pages, 6933 KiB  
Article
Sky Temperature Forecasting in Djibouti: An Integrated Approach Using Measured Climate Data and Artificial Neural Networks
by Hamda Abdi, Abdou Idris and Anh Dung Tran Le
Energies 2024, 17(22), 5791; https://doi.org/10.3390/en17225791 - 20 Nov 2024
Viewed by 349
Abstract
Buildings exchange heat with different environmental elements: the sun, the outside air, the sky, and outside surfaces (including the walls of environmental buildings and the ground). To correctly account for building energy performance, radiative cooling potential, and other technical considerations, it is essential [...] Read more.
Buildings exchange heat with different environmental elements: the sun, the outside air, the sky, and outside surfaces (including the walls of environmental buildings and the ground). To correctly account for building energy performance, radiative cooling potential, and other technical considerations, it is essential to evaluate sky temperature. It is an important parameter for the weather files used by energy building simulation software for calculating the longwave radiation heat exchange between exterior surfaces and the sky. In the literature, there are several models to estimate sky temperature. However, these models have not been completely satisfactory for the hot and humid climate in which the sky temperature remains overestimated. The purpose of this paper is to provide a comprehensive analysis of the sky temperature measurement conducted, for the first time, in Djibouti, with a pyrgeometer, a tool designed to measure longwave radiation as a component of thermal radiation, and an artificial neural network (ANN) model for improved sky temperature forecasting. A systematic comparison of known correlations for sky temperature estimation under various climatic conditions revealed their limited accuracy in the region, as indicated by low R2 values and root mean square errors (RMSEs). To address these limitations, an ANN model was trained, validated, and tested on the collected data to capture complex patterns and relationships in the data. The ANN model demonstrated superior performance over existing empirical correlations, providing more accurate and reliable sky temperature predictions for Djibouti’s hot and humid climate. This study showcases the effectiveness of an integrated approach using pyrgeometer-based sky temperature measurements and advanced machine learning techniques ANNs for sky temperature forecasting in Djibouti to overcome the limitations of existing correlations and improve the accuracy of sky temperature predictions, particularly in hot and humid climates. Full article
(This article belongs to the Special Issue New Insights into Hybrid Renewable Energy Systems in Buildings)
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17 pages, 6993 KiB  
Article
Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings
by Agis M. Papadopoulos, Konstantinos Polychronakis, Elli Kyriaki and Effrosyni Giama
Energies 2024, 17(22), 5609; https://doi.org/10.3390/en17225609 - 9 Nov 2024
Viewed by 444
Abstract
This paper investigates the optimization of insulation thickness with respect to the integration of renewable energy systems in residential buildings in order to improve energy efficiency, maximize the contribution of renewables and reduce life cycle costs. Using the DesignBuilder and EnergyPlus software, this [...] Read more.
This paper investigates the optimization of insulation thickness with respect to the integration of renewable energy systems in residential buildings in order to improve energy efficiency, maximize the contribution of renewables and reduce life cycle costs. Using the DesignBuilder and EnergyPlus software, this study models a representative two-story residential building located in Athens, Greece. The building envelope features extruded polystyrene thermal insulation and windows with unplasticized polyvinyl chloride frames and low-e glazing. Six scenarios with hybrid renewable energy systems are analyzed, including air- and ground-source heat pumps, solar thermal systems and a biomass fired boiler, so as to assess energy consumption, economic feasibility and internal air temperature conditions. A Pareto-fronts-based optimization algorithm is applied to determine the optimal combination of insulation thicknesses for the walls, the roof and the floor, focusing on minimizing the life cycle cost and maximizing the percentage of renewable energy utilized. The results demonstrate that scenarios involving biomass boilers and solar thermal systems, both for heating and cooling, when combined with reasonable thermal protection, can effectively meet the recent European Union’s directive’s goal, with renewable energy systems contributing more than 50% of the total energy requirements, whilst maintaining acceptable internal air temperature conditions and having a life cycle cost lower than contemporary conventional buildings. Full article
(This article belongs to the Special Issue New Insights into Hybrid Renewable Energy Systems in Buildings)
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23 pages, 8632 KiB  
Article
Development and Application of a Platform for Optimising Heating System Operation Based on the Building User’s Temperature Perception
by Andre Beblek, Florian Felix Sehr, Viktor Grinewitschus, Carolin Baedeker and Aaron Immanuel Wolber
Energies 2024, 17(17), 4468; https://doi.org/10.3390/en17174468 - 5 Sep 2024
Viewed by 628
Abstract
The energy challenges of overcoming climate change and economic and global political crises require not only the increased integration of renewable energies but also an optimisation of energy generation and use and, as a result, a reduction in energy consumption in various sectors. [...] Read more.
The energy challenges of overcoming climate change and economic and global political crises require not only the increased integration of renewable energies but also an optimisation of energy generation and use and, as a result, a reduction in energy consumption in various sectors. Thermal energy consumption in buildings in particular accounts for a significant proportion of final energy consumption. With respect to commercial buildings, a central problem in optimising the system settings is the lack of or only limited information about the actual room temperatures as well as the comfort requirements and temperature perception of the users in the rooms on the one hand and the operational management and settings specified by the facility management, for example, the heating curves of the heating circuits, on the other. The aim here is to create a bidirectional flow of data and information so that the compromise between the necessary room temperatures and the comfort of the users and the most energy-efficient operational management possible can be achieved. In this context, the paper presents a developed and tested web platform that makes it possible to optimise the operation of the system technology, particularly the heating system in the building, from an energy point of view and to involve the building user (e.g., office employees) and to pass on information to the facility management, thus pursuing a holistic approach. In the associated Living Lab project (called ComfortLab), it was possible to obtain over 6500 votes on temperature perception and combine this with building operation and the parameters relevant to facility management. This made it possible to bridge the gap between user requirements and room temperatures on the one hand and energy consumption and the inlet temperature of the heating system and supply circuits on the other. The use of the platform makes it possible to optimise the setpoint specification, specifically the inlet temperature of individual heating circuits, considering both regular building operation at times of presence and the setting of weekend and night setback times. The results show a diversified picture regarding temperature perception and possible room temperature reductions of several degrees Celsius and energy savings in the double-digit percentage range. Full article
(This article belongs to the Special Issue New Insights into Hybrid Renewable Energy Systems in Buildings)
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