A low-energy storage container for food and agriculture products
Abstract
In 2018, the food, beverages, and tobacco sectors within the EU-27 consumed approximately 27,500 ktoe of energy. The food facilities and the food production plants are responsible for a large part of this energy consumption. Current global strategies focus on energy conservation and natural environmental protection, ascribing a lot of importance to building-related analyses. Areas for food storage are essential within the food production chain, as the indoor thermal parameters determine the characteristics of the final products. In this paper, a low-energy storage container is proposed. The envelope of the container is made from sandwich panels with a polyurethane layer paired with two phase change material (PCM) layers. The container is designed to store perishable materials, such as extra virgin olive oil. A storage container prototype, equipped with a mini-split heating, ventilation, and air conditioning electric system, was built to analyse and assess the energy spent during its use. Moreover, the achievable yearly energy savings with respect to a container without the PCM layers was calculated. The results showed that the PCM layers improve the energy performance of the container at an indoor temperature of 20°C with an energy saving of about 27%, and at an indoor temperature of 17°C with an energy saving of over 22%.
References
- Alawadhi E.M. 2008. Thermal analysis of a building brick containing phase change material. Energy Build. 40, 351-7. DOI: https://doi.org/10.1016/j.enbuild.2007.03.001
- Barbaresi A., Bovo M., Santolini E., Barbaresi L., Torreggiani D., Tassinari P. 2020a. Development of a low-cost movable hot box for a preliminary definition of the thermal conductance of building envelopes. Build. Environ. 180:107034. DOI: https://doi.org/10.1016/j.buildenv.2020.107034
- Barbaresi A., Bovo M., Torreggiani D. 2020b. The dual influence of the envelope on the thermal performance of conditioned and unconditioned buildings. Sustain. Cities Soc. 61:102298. DOI: https://doi.org/10.1016/j.scs.2020.102298
- Barbaresi A., Torreggiani D., Benni S., Tassinari P. 2014. Underground cellar thermal simulation: Definition of a method for modelling performance assessment based on experimental calibration. Energy Build. 76:363-72. DOI: https://doi.org/10.1016/j.enbuild.2014.03.008
- Barreca F., Cardinali G.D. 2019. ITACAFood: A model to certificate the sustainability of food processing facilities. Sustain. 11:174601. DOI: https://doi.org/10.3390/su11174601
- Barreca F., Fichera C.R. 2016. Thermal insulation performance assessment of agglomerated cork boards. Wood Fiber Sci. 48.
- Barreca F., Modica G., Di Fazio S., Tirella V., Tripodi R., Fichera C.R. 2017. Improving building energy modelling by applying advanced 3D surveying techniques on agri-food facilities. J. Agric. Eng. 48:203-8. DOI: https://doi.org/10.4081/jae.2017.677
- Barreca F., Praticò P. 2019. Environmental indoor thermal control of extra virgin olive oil storage room with phase change materials. J. Agricult. Engine. 50:947. DOI: https://doi.org/10.4081/jae.2019.947
- Barreca F., Praticò P. 2018. Post-occupancy evaluation of buildings for sustainable agri-food production - a method applied to an olive oil mill. Buildings 8:83. DOI: https://doi.org/10.3390/buildings8070083
- Basinska M., Kaczorek D., Koczyk H. 2021. Economic and Energy Analysis of Building Retrofitting Using Internal Insulations. Energies 14:1-18. DOI: https://doi.org/10.3390/en14092446
- Boussaba L., Foufa A., Makhlouf S., Lefebvre G., Royon L. 2018. Elaboration and properties of a composite bio-based PCM for an application in building envelopes. Constr. Build. Mater. 185:156-65. DOI: https://doi.org/10.1016/j.conbuildmat.2018.07.098
- Buonomano A., De Luca G., Montanaro U., Palombo A. 2016. Innovative technologies for NZEBs: An energy and economic analysis tool and a case study of a non-residential building for the Mediterranean climate. Energy Build. 121:318-43. DOI: https://doi.org/10.1016/j.enbuild.2015.08.037
- Canali M., Amani P., Aramyan L., Gheoldus M., Moates G., Östergren K., Silvennoinen K., Waldron K., Vittuari M. 2017. Food waste drivers in Europe, from identification to possible interventions. Sustain. 9:010037. DOI: https://doi.org/10.3390/su9010037
- Caprara C., Stoppiello G. 2012. Heat storage system with phase change materials in cogeneration units: study of preliminary model. J. Agricult. Engine. 39:jae.2008.4.9. DOI: https://doi.org/10.4081/jae.2008.4.9
- Castell A., Medrano, M., Castellón, C., Cabeza, L.F., 2009. Analysis of the simulation models for the use of PCM in buildings. Effstock Therm. Energy Storage Effic. Sustain. 1-8.
- Di Perna C., Stazi F., Casalena A.U., D’Orazio M. 2011. Influence of the internal inertia of the building envelope on summertime comfort in buildings with high internal heat loads. Energy Build. 43:200-6. DOI: https://doi.org/10.1016/j.enbuild.2010.09.007
- European Commission, 2019. The European Green Deal. Available from: https://ec.europa.eu/info/strategy/priorities-2019-2024/european-green-deal_en
- Eurostat, 2021. Final energy consumption by sector. Available from: https://ec.europa.eu/eurostat/databrowser/view/ten00124/default/le?lang=en Accessed: 23 March 2021.
- Gao E., Zhang B., Stephenson L.D., Boddu V., Trovillion J. 2013. Prediction of phase change material (PCM) degradation. Therm. Perform. Exter. Envel. Whole Build. - 12th Int. Conf.
- Gourlis G., Kovacic I. 2016. Building information modelling for analysis of energy efficient industrial buildings - a case study. Renew. Sustain. Energy Rev. 1-11.
- Haberl J.S., Claridge D.E., Culp C. 2005. ASHRAE’s Guideline 14-2002 for measurement of energy and demand savings: how to determine what was really saved by the retrofit. pp 1-13 in Fifth Int. Conf. Enhanc. Build. Oper.
- Jaffal I., Inard C. 2017. A metamodel for building energy performance. Energy Build. 151:501-10. DOI: https://doi.org/10.1016/j.enbuild.2017.06.072
- Ladha-Sabur A., Bakalis S., Fryer P.J., Lopez-Quiroga E. 2019. Mapping energy consumption in food manufacturing. Trends Food Sci. Technol. 86:270-80. DOI: https://doi.org/10.1016/j.tifs.2019.02.034
- Osterman E., Tyagi V.V., Butala V., Rahim N.A., Stritih U. 2012. Review of PCM based cooling technologies for buildings. Energy Build. 49:37-49. DOI: https://doi.org/10.1016/j.enbuild.2012.03.022
- Ozdenefe M., Dewsbury J. 2016. Thermal performance of a typical residential Cyprus building with phase change materials. Build. Serv. Engine. Res. Technol. 37:85-102. DOI: https://doi.org/10.1177/0143624415603004
- Özonur Y., Mazman M., Paksoy H.Ö., Evliya H. 2006. Microencapsulation of coco fatty acid mixture for thermal energy storage with phase change material. Int. J. Energy Res. 30:741-9. DOI: https://doi.org/10.1002/er.1177
- Parlato M.C.M., Porto S.M.C. 2020. Organized framework of main possible applications of sheep wool fibers in building components. Sustain. 12:030761. DOI: https://doi.org/10.3390/su12030761
- Pérez-Lombard L., Ortiz J., Coronel J.F., Maestre I.R. 2011. A review of HVAC systems requirements in building energy regulations. Energy Build. 43:255-68. DOI: https://doi.org/10.1016/j.enbuild.2010.10.025
- Porto S.M.C., Valenti F., Bella S., Russo A., Cascone G., Arcidiacono C. 2017. Improving the effectiveness of heat treatment for insect pest control in flour mills by thermal simulations. Biosyst. Eng. 164:189-99. DOI: https://doi.org/10.1016/j.biosystemseng.2017.10.015
- Rosso F., Peduzzi A., Diana L., Cascone S., Cecere C. 2021. A sustainable approach towards the retrofit of the public housing building stock: energy-architectural experimental and numerical analysis. Sustain. [Epub ahead of print]. DOI: https://doi.org/10.3390/su13052881
- Ruiz G.R., Bandera C.F. 2017. Validation of calibrated energy models: Common errors. Energies 10:10101587. DOI: https://doi.org/10.3390/en10101587
- Sims R., Flammini A., Puri M., Bracco S. 2016. Opportunities for agri-food chains to become energy-smart. ISBN 978-92-5-108959-0. Rome: Food and Agriculture Organization of the United Nations, and Washington DC: USAID.
- Sutterlin W.R. 2015. A phase change materials comparison: vegetable-based vs. paraffin-based PCMs. Chem. Online 1-5.
- Talašová J., Holeček P. 2009. Multiple-criteria fuzzy evaluation: the fuzzme software package. pp 681-686 in 2009 Int. Fuzzy Syst. Assoc. World Congr. 2009 Eur. Soc. Fuzzy Log. Technol. Conf. IFSA-EUSFLAT 2009 - Proc.
- Tinti F., Barbaresi A., Benni S., Torreggiani D., Bruno R., Tassinari P. 2015. Experimental analysis of thermal interaction between wine cellar and underground. Energy Build. 104:275-86. DOI: https://doi.org/10.1016/j.enbuild.2015.07.025
- Zastawna-Rumin A., Kisilewicz T., Berardi U. 2020. Novel simulation algorithm for modeling the hysteresis of phase change materials. Energies 13:1-15. DOI: https://doi.org/10.3390/en13051200
Metrics
Citations and online attention from Dimensions, Altmetric and PlumX.
License
Copyright (c) 2021 the Author(s)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.