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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: orcid Ricciardi P.;
    Ricciardi P.
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    orcid Belloni E.;
    Belloni E.
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    Belloni E. in OpenAIRE
    orcid Merli F.;
    Merli F.
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    Merli F. in OpenAIRE
    orcid Buratti C.;
    Buratti C.
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    Buratti C. in OpenAIRE

    Recycled waste materials obtained from industrial and agricultural processes are becoming promising thermal and acoustic insulating solutions in building applications; their use can play an important role in the environmental impact reduction. The aim of the present paper is the evaluation of the thermal performance of recycled waste panels consisting of cork scraps, rice husk, coffee chaff, and end-life granulated tires, glued in different weight ratios and pressed. Six panels obtained from the mixing of these waste materials were fabricated and analyzed. In particular, the scope is the selection of the best compromise solutions from the thermal and environmental points of view. To this aim, thermal resistances were measured in laboratory and a Life Cycle Assessment (LCA) analysis was carried out for each panel; a cross-comparative examination was performed in order to optimize their properties and find the best panels solutions to be assembled in the future. Life Cycle Analysis was carried out in terms of primary Embodied Energy and Greenhouse Gas Emissions, considering a ‘‘cradle-to-gate” approach. The obtained thermal conductivities varied in the 0.055 to 0.135 W/mK range, in the same order of magnitude of many traditional systems. The best thermal results were obtained for the panels made of granulated cork, rice husk, and coffee chaff in this order. The rubber granulate showed higher values of the thermal conductivity (about 0.15 W/mK); a very interesting combined solution was the panel composed of cork (60%), rice husk (20%), and coffee chaff (20%), with a thermal conductivity of 0.08 W/mK and a Global Warming Potential of only 2.6 kg CO2eq/m2. Considering the Embodied Energy (CED), the best solution is a panel composed of 56% of cork and 44% of coffee chaff (minimum CED and thermal conductivity).

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    Applied Sciences
    Article . 2021 . Peer-reviewed
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    Applied Sciences
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    Applied Sciences
    Article . 2021
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    ZENODO
    Article . 2021
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Applied Sciencesarrow_drop_down
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      Applied Sciences
      Article . 2021 . Peer-reviewed
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      Applied Sciences
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      Applied Sciences
      Article . 2021
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      ZENODO
      Article . 2021
      License: CC BY
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    Authors: Nikbakht R.; orcid bw Javed F.;
    Javed F.
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    Javed F. in OpenAIRE
    orcid bw Rezazadeh F.;
    Rezazadeh F.
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    Rezazadeh F. in OpenAIRE
    orcid Bartzoudis N.;
    Bartzoudis N.
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    Bartzoudis N. in OpenAIRE
    +1 Authors

    The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes with energy storage systems. The proposed framework uses Non-Fungible Tokens (NFTs) to represent unique energy profiles in a transparent and secure trading environment. Leveraging Federated Deep Reinforcement Learning (FDRL), the system promotes collaborative and adaptive energy management strategies, maintaining user privacy. A notable innovation is the use of smart contracts, ensuring high efficiency and integrity in energy transactions. Extensive evaluations demonstrate the system's scalability and the effectiveness of the FDRL method in optimizing energy distribution. This research significantly contributes to developing sophisticated decentralized smart grid infrastructures. Our approach broadens potential blockchain and AI applications in sustainable energy systems and addresses incentive alignment and transparency challenges in traditional energy trading mechanisms. The implementation of this paper is publicly accessible at \url{https://github.com/RasoulNik/DEM}. 6 pages

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ arXiv.org e-Print Ar...arrow_drop_down
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    ZENODO
    Conference object . 2024
    License: CC BY
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    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    https://doi.org/10.1109/energy...
    Conference object . 2024 . Peer-reviewed
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    https://dx.doi.org/10.48550/ar...
    Article . 2023
    License: CC BY NC SA
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      ZENODO
      Conference object . 2024
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      https://doi.org/10.1109/energy...
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    Optimization of all numerical codes ported in the infrastructure and used for supercapacitors, PV and batteries. The scope of deliverable D3.2 is to report the new advances in the field of materials for energy that comes from the search of new methodologies and models that could be more efficient on the new generation of computer hardware for exascale. In this respect, deliverable D3.2 is a transversal deliverable that report the new advances related to activities described in task T3.2, T3.3 and T3.4. H2020

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Project deliverable . 2017
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    ZENODO
    Project deliverable . 2017
    Data sources: Datacite
    ZENODO
    Other literature type . 2017
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      ZENODO
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    Authors: orcid Bonfitto, Angelo;
    Bonfitto, Angelo
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    orcid Feraco, Stefano;
    Feraco, Stefano
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    orcid Tonoli, Andrea;
    Tonoli, Andrea
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    orcid bw Amati, Nicola;
    Amati, Nicola
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    This paper presents a tradeoff analysis in terms of accuracy and computational cost between different architectures of artificial neural networks for the State of Charge (SOC) estimation of lithium batteries in hybrid and electric vehicles. The considered layouts are partly selected from the literature on SOC estimation, and partly are novel proposals that have been demonstrated to be effective in executing estimation tasks in other engineering fields. One of the architectures, the Nonlinear Autoregressive Neural Network with Exogenous Input (NARX), is presented with an unconventional layout that exploits a preliminary routine, which allows setting of the feedback initial value to avoid estimation divergence. The presented solutions are compared in terms of estimation accuracy, duration of the training process, robustness to the noise in the current measurement, and to the inaccuracy on the initial estimation. Moreover, the algorithms are implemented on an electronic control unit in serial communication with a computer, which emulates a real vehicle, so as to compare their computational costs. The proposed unconventional NARX architecture outperforms the other solutions. The battery pack that is used to design and test the networks is a 20 kW pack for a mild hybrid electric vehicle, whilst the adopted training, validation and test datasets are obtained from the driving cycles of a real car and from standard profiles.

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    Batteries
    Article . 2019 . Peer-reviewed
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    Article . 2019
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      Batteries
      Article . 2019
      Data sources: DOAJ
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      ZENODO
      Article . 2019
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    Authors: orcid S. Ghanem;
    S. Ghanem
    ORCID
    Harvested from ORCID Public Data File

    S. Ghanem in OpenAIRE
    orcid G. Fandi;
    G. Fandi
    ORCID
    Harvested from ORCID Public Data File

    G. Fandi in OpenAIRE
    orcid bw J. Kyncl;
    J. Kyncl
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    J. Kyncl in OpenAIRE
    orcid bw Z. Müller;
    Z. Müller
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Z. Müller in OpenAIRE

    Introduction. As a result of increasing fossil fuel price and state-of-the-art technology, more and more residential and commercial consumers of electricity have been installing wind turbines. The motivation being to cut energy bills and carbon dioxide emissions. Purpose. The main goal of this work is developing a control scheme for a variable speed wind turbine generator in order to produce utmost power from varying wind types, and variable wind speed. Novelty. This research paper presents an IGBT power converter control scheme for active power in relation to wind speed and reactive power by adjusting Q-reference (Qref) value in a gearless variable speed wind turbine with permanent magnet synchronous generator. Methods. An effective modelling and control of the wind turbine with the suggested power converter is executed by utilizing MATLAB/Simulink software. The control scheme consists of both the wind turbine control and the power converter control. Simulation results are utilized in the analysis and deliberation of the ability of the control scheme, which reveals that the wind turbine generator has the capability to actively sustain an electric power grid network, owing to its ability to independently control active and reactive power according to applied reference values at variable wind speed. Practical value. This research can be utilized for assessing the control methodology, the dynamic capabilities and influence of a gearless variable-speed wind energy conversion system on electric power grids. A case study has been presented with a (3×10 MW = 30 MW) wind farm scheme.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Електротехніка і Еле...arrow_drop_down
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    Електротехніка і Електромеханіка
    Article . 2022 . Peer-reviewed
    License: CC BY NC
    Data sources: Crossref
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    ZENODO
    Article . 2022
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    ZENODO
    Article . 2022
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Електротехніка і Еле...arrow_drop_down
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      Електротехніка і Електромеханіка
      Article . 2022 . Peer-reviewed
      License: CC BY NC
      Data sources: Crossref
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      ZENODO
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    Authors: orcid Juan G. Rubalcaba;
    Juan G. Rubalcaba
    ORCID
    Harvested from ORCID Public Data File

    Juan G. Rubalcaba in OpenAIRE
    orcid bw Blanca Jimeno;
    Blanca Jimeno
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Blanca Jimeno in OpenAIRE
    Blanca Jimeno;

    Environmental and intrinsic factors interact to determine energy requirements in vertebrates. Glucocorticoid hormones (GCs) are key mediators of this interaction, as they fluctuate with energetic demands and regulate physiological and behavioral responses to environmental challenges. While a great body of research has focused on GC variation among individuals, the mechanisms driving GC variation across species and at broad spatial scales remain largely unexplored. Here, we adopted a macrophysiological approach to investigate the environmental factors and life-history traits driving variation in baseline GCs across lizard species. We tested three hypotheses: (1) If GCs increase with body temperature to meet higher metabolic demand, we expect an association between average baseline GCs and the mean species’ body temperature in the field (GC-temperature dependence hypothesis); (2) If GCs mediate behavioral responses to avoid thermal extremes, we expect that individuals frequently exposed to extreme conditions exhibit higher baseline GC levels (Behavioral thermoregulation hypothesis); (3) If GCs increase to support higher energy demands in active foragers during their period of activity, we expect that active foraging species have higher baseline GCs than sit-and-wait foragers, and that GC levels increase in relation to the duration of daily activity windows (Activity hypothesis). We used biophysical models to calculate operative temperatures and the activity patterns of lizards in sun-exposed and shaded microenvironments. Then, we tested the association between baseline GCs, body temperature, operative temperatures, foraging mode, and activity windows across 37 lizard species, using data from HormoneBase. Our comparative analyses showed that variation in baseline GCs was primarily related to the mean field body temperature and foraging mode, with higher baseline GCs in active foragers with higher body temperatures. Our results suggest that body temperature and foraging mode drive GC variation through their effects on energy requirements across lizard species.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Frontiers in Ecology...arrow_drop_down
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    Frontiers in Ecology and Evolution
    Article . 2022 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    ZENODO
    Article . 2022
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    ZENODO
    Article . 2022
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    Data sources: ZENODO
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    Digital.CSIC
    Article . 2022 . Peer-reviewed
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      Frontiers in Ecology and Evolution
      Article . 2022 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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      ZENODO
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      ZENODO
      Article . 2022
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      Digital.CSIC
      Article . 2022 . Peer-reviewed
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    Authors: orcid bw D'Oria, Marco;
    D'Oria, Marco
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    D'Oria, Marco in OpenAIRE
    orcid bw Secci, Daniele;
    Secci, Daniele
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Secci, Daniele in OpenAIRE
    orcid bw Tanda, Maria Giovanna;
    Tanda, Maria Giovanna
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Tanda, Maria Giovanna in OpenAIRE
    orcid bw Todaro, Valeria;
    Todaro, Valeria
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Todaro, Valeria in OpenAIRE
    +1 Authors

    This Milestone, namely M3.3, is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners”. The aim of M3.3 is to outline the results of the climate change evaluation over the investigated pilot sites. For the future projections of the climate variables (precipitation and temperature), the data provided by EURO-CORDEX initiative under two emission scenarios (RCP4.5 and RCP8.5) are used. The main information on the pilot sites, available data, analyses and results are presented. The data are freely downloadable from the web repository https://doi.org/10.5281/zenodo.7247977. This project is part of the PRIMA Programme supported by the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 1923.

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    Authors: orcid Danish, Mir Sayed Shah;
    Danish, Mir Sayed Shah
    ORCID
    Harvested from ORCID Public Data File

    Danish, Mir Sayed Shah in OpenAIRE
    orcid Senjyu, Tomonobu;
    Senjyu, Tomonobu
    ORCID
    Harvested from ORCID Public Data File

    Senjyu, Tomonobu in OpenAIRE
    orcid Sabory, Najib Rahman;
    Sabory, Najib Rahman
    ORCID
    Harvested from ORCID Public Data File

    Sabory, Najib Rahman in OpenAIRE
    orcid Khosravy, Mahdi;
    Khosravy, Mahdi
    ORCID
    Harvested from ORCID Public Data File

    Khosravy, Mahdi in OpenAIRE
    +3 Authors

    Aquaponics systems and technologies are growing primary industries in many countries, with high environmental and socio-economic advantages. Aquaponics is a closed-loop system that produces aquatic animals and plants in a new way using recirculated water and nutrients. With a growing world population expected to reach 9.7 billion by 2050, food production sustainability is a primary issue in today’s world agenda, and aquaponics and aquaculture systems can be potential contributors to the challenge. Observing the climate changes and global warming’s impact on the ecosystem, decreasing aqua animal stocks, and responding to increasing demand are turning points in the sustainability era. In the past 15 years, fish production has doubled, thus denoting that aquaponics transforms into commercial scales with a revolutionized production, high efficiency, and fewer resources’ utilization, thus requiring proper operation and management standards and practices. Therefore, this study aims to shape a new framework for sustainable aquaponics modeling and utilization as the all-in-one solution platform covering technical, managerial, socio-economic, institutional, and environmental measures within the suitability requirements. The proposed model in this study offers a systematic approach to the design and implementation of sustainability-efficient aquaponics and aquaculture systems. Through an exhaustive coverage of the topic, this research effort can be counted as a practical reference for researchers, scholars, experts, practitioners, and students in the context of aquaponics and aquaculture studies.

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    The presented Report forms Deliverable D6.2 resulted from the realization of Workpackage WP.6.3 titled “Overview of market drivers, fiscal measures and subsidies” in frame of the EU-Project “Geothermal communities – demonstrating the cascaded use of geothermal energy for district heating with small scale RES integration and retrofitting measures” (GEOCOM). The following seven countries were covered by WP6.3 works and this Deliverable D6.2: o Macedonia, o Hungary, o Italy, o Poland, o Romania, o Serbia, o Slovakia. The work was done with the contribution of all GEOCOM Project Partner teams and appointed experts, coordinated, interpreted and summarized by the Mineral and Energy Economy Research Institute of PAS team, WP6 leader. FP7

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    Authors: orcid Nabi, Brera Ghulam;
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    Sustainable food supply has gained considerable consumer concern due to the high percentage of spoilage microorganisms. Food industries need to expand advanced technologies that can maintain the nutritive content of foods, enhance the bio-availability of bioactive compounds, provide environmental and economic sustainability, and fulfill consumers’ requirements of sensory characteristics. Heat treatment negatively affects food samples’ nutritional and sensory properties as bioactives are sensitive to high-temperature processing. The need arises for non-thermal processes to reduce food losses, and sustainable developments in preservation, nutritional security, and food safety are crucial parameters for the upcoming era. Non-thermal processes have been successfully approved because they increase food quality, reduce water utilization, decrease emissions, improve energy efficiency, assure clean labeling, and utilize by-products from waste food. These processes include pulsed electric field (PEF), sonication, high-pressure processing (HPP), cold plasma, and pulsed light. This review describes the use of HPP in various processes for sustainable food processing. The influence of this technique on microbial, physicochemical, and nutritional properties of foods for sustainable food supply is discussed. This approach also emphasizes the limitations of this emerging technique. HPP has been successfully analyzed to meet the global requirements. A limited global food source must have a balanced approach to the raw content, water, energy, and nutrient content. HPP showed positive results in reducing microbial spoilage and, at the same time, retains the nutritional value. HPP technology meets the essential requirements for sustainable and clean labeled food production. It requires limited resources to produce nutritionally suitable foods for consumers’ health.

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