IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p384-d1018798.html
   My bibliography  Save this article

On the Effect of the Time Interval Base and Home Appliance on the Renewable Quota of a Building in an Alpine Location

Author

Listed:
  • Margherita Povolato

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy)

  • Alessandro Prada

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy)

  • Sara Verones

    (Water Resources and Energy Agency (APRIE), Autonomous Province of Trento, Piazza Fiera 3, 38122 Trento, Italy)

  • Paolo Baggio

    (Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy)

Abstract

The European goal of decarbonization drives design toward high-performance buildings that maximize the use of renewable sources. Therefore, the European RED II Directive and Italian law raise the minimum renewable share required for new buildings and major renovations. Currently, the renewable energy ratio (RER) is used for the mandatory verification, obtained with a quasi-steady state calculation on a monthly basis, while much of the scientific literature uses self-consumption factor (SCF) and load coverage factor (LCF) often calculated through dynamic simulation. However, the use of a monthly balance implies the use of the national grid as a virtual battery through the net metering mechanism. The actual share of renewable coverage in the absence of expensive electric storage will necessarily be lower. The link between the different indices, the effect of the time base used in the calculation as well as the actual renewable share achieved by buildings, considering also plug loads not in the regulatory verification framework, are still open issues. This work analyzes the actual renewable share achievable for a new building in a heating-dominated climate, i.e., the mountainous area of the municipality of Trento. The renewable share is evaluated through a coupled dynamic simulation of the building and the energy systems. The results show that the RER decreases by 13% and 15% when switching from monthly to instantaneous balance in the case without and with additional home appliance loads, respectively. Similarly, simulations show how the time interval base affects the difference between the RER index and the LCF of PV energy.

Suggested Citation

  • Margherita Povolato & Alessandro Prada & Sara Verones & Paolo Baggio, 2022. "On the Effect of the Time Interval Base and Home Appliance on the Renewable Quota of a Building in an Alpine Location," Energies, MDPI, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:384-:d:1018798
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/384/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/1/384/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick Huber & Melvin Ott & Martin Friedli & Andreas Rumsch & Andrew Paice, 2020. "Residential Power Traces for Five Houses: The iHomeLab RAPT Dataset," Data, MDPI, vol. 5(1), pages 1-14, February.
    2. Daniela Cirone & Roberto Bruno & Piero Bevilacqua & Stefania Perrella & Natale Arcuri, 2022. "Techno-Economic Analysis of an Energy Community Based on PV and Electric Storage Systems in a Small Mountain Locality of South Italy: A Case Study," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    3. Angela Amato & Matteo Bilardo & Enrico Fabrizio & Valentina Serra & Filippo Spertino, 2021. "Energy Evaluation of a PV-Based Test Facility for Assessing Future Self-Sufficient Buildings," Energies, MDPI, vol. 14(2), pages 1-23, January.
    4. Faidra Kotarela & Anastasios Kyritsis & Nick Papanikolaou, 2020. "On the Implementation of the Nearly Zero Energy Building Concept for Jointly Acting Renewables Self-Consumers in Mediterranean Climate Conditions," Energies, MDPI, vol. 13(5), pages 1-29, February.
    5. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    6. Tostado-Véliz, Marcos & Kamel, Salah & Aymen, Flah & Jurado, Francisco, 2022. "A novel hybrid lexicographic-IGDT methodology for robust multi-objective solution of home energy management systems," Energy, Elsevier, vol. 253(C).
    7. Savolainen, Rebecka & Lahdelma, Risto, 2022. "Optimization of renewable energy for buildings with energy storages and 15-minute power balance," Energy, Elsevier, vol. 243(C).
    8. Nicola Franzoi & Alessandro Prada & Sara Verones & Paolo Baggio, 2021. "Enhancing PV Self-Consumption through Energy Communities in Heating-Dominated Climates," Energies, MDPI, vol. 14(14), pages 1-17, July.
    9. Maria Pinamonti & Alessandro Prada & Paolo Baggio, 2020. "Rule-Based Control Strategy to Increase Photovoltaic Self-Consumption of a Modulating Heat Pump Using Water Storages and Building Mass Activation," Energies, MDPI, vol. 13(23), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Heinz, Andreas & Rieberer, René, 2021. "Energetic and economic analysis of a PV-assisted air-to-water heat pump system for renovated residential buildings with high-temperature heat emission system," Applied Energy, Elsevier, vol. 293(C).
    2. Sebastian Pater, 2023. "Increasing Energy Self-Consumption in Residential Photovoltaic Systems with Heat Pumps in Poland," Energies, MDPI, vol. 16(10), pages 1-14, May.
    3. Nicola Franzoi & Alessandro Prada & Sara Verones & Paolo Baggio, 2021. "Enhancing PV Self-Consumption through Energy Communities in Heating-Dominated Climates," Energies, MDPI, vol. 14(14), pages 1-17, July.
    4. Margherita Povolato & Alessandro Prada & Sara Verones & Silvia Debiasi & Paolo Baggio, 2023. "The Impact of Energy Community Composition on Its Technical and Economic Performance," Energies, MDPI, vol. 16(14), pages 1-15, July.
    5. Gergely, László Zsolt & Csoknyai, Tamás & Horváth, Miklós, 2022. "Novel load matching indicators for photovoltaic system sizing and evaluation," Applied Energy, Elsevier, vol. 327(C).
    6. Sofiane Kichou & Nikolaos Skandalos & Petr Wolf, 2020. "Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data," Energies, MDPI, vol. 13(11), pages 1-20, May.
    7. Federica Cucchiella & Idiano D’Adamo & Paolo Rosa, 2015. "Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets," Energies, MDPI, vol. 8(11), pages 1-16, November.
    8. Reza Fachrizal & Joakim Munkhammar, 2020. "Improved Photovoltaic Self-Consumption in Residential Buildings with Distributed and Centralized Smart Charging of Electric Vehicles," Energies, MDPI, vol. 13(5), pages 1-19, March.
    9. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    10. Bernadette Fina & Hans Auer, 2020. "Economic Viability of Renewable Energy Communities under the Framework of the Renewable Energy Directive Transposed to Austrian Law," Energies, MDPI, vol. 13(21), pages 1-31, November.
    11. Moura, Ricardo & Brito, Miguel Centeno, 2019. "Prosumer aggregation policies, country experience and business models," Energy Policy, Elsevier, vol. 132(C), pages 820-830.
    12. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2019. "Real-time energy convex optimization, via electrical storage, in buildings – A review," Renewable Energy, Elsevier, vol. 139(C), pages 1355-1365.
    13. Angenendt, Georg & Zurmühlen, Sebastian & Axelsen, Hendrik & Sauer, Dirk Uwe, 2018. "Comparison of different operation strategies for PV battery home storage systems including forecast-based operation strategies," Applied Energy, Elsevier, vol. 229(C), pages 884-899.
    14. Rui Liang & Xichuan Zheng & Po-Hsun Wang & Jia Liang & Linhui Hu, 2023. "Research Progress of Carbon-Neutral Design for Buildings," Energies, MDPI, vol. 16(16), pages 1-50, August.
    15. Fachrizal, Reza & Shepero, Mahmoud & Åberg, Magnus & Munkhammar, Joakim, 2022. "Optimal PV-EV sizing at solar powered workplace charging stations with smart charging schemes considering self-consumption and self-sufficiency balance," Applied Energy, Elsevier, vol. 307(C).
    16. Yazhou Zhao & Xiangxi Qin & Xiangyu Shi, 2022. "A Comprehensive Evaluation Model on Optimal Operational Schedules for Battery Energy Storage System by Maximizing Self-Consumption Strategy and Genetic Algorithm," Sustainability, MDPI, vol. 14(14), pages 1-34, July.
    17. Juan Pablo Fernández Goycoolea & Gabriela Zapata-Lancaster & Christopher Whitman, 2022. "Operational Emissions in Prosuming Dwellings: A Study Comparing Different Sources of Grid CO 2 Intensity Values in South Wales, UK," Energies, MDPI, vol. 15(7), pages 1-24, March.
    18. Yin, Rumeng & He, Jiang, 2023. "Design of a photovoltaic electric bike battery-sharing system in public transit stations," Applied Energy, Elsevier, vol. 332(C).
    19. Oscar Villegas Mier & Anna Dittmann & Wiebke Herzberg & Holger Ruf & Elke Lorenz & Michael Schmidt & Rainer Gasper, 2023. "Predictive Control of a Real Residential Heating System with Short-Term Solar Power Forecast," Energies, MDPI, vol. 16(19), pages 1-19, October.
    20. Thygesen, Richard & Karlsson, Björn, 2016. "Simulation of a proposed novel weather forecast control for ground source heat pumps as a mean to evaluate the feasibility of forecast controls’ influence on the photovoltaic electricity self-consumpt," Applied Energy, Elsevier, vol. 164(C), pages 579-589.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:384-:d:1018798. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.