IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v300y2024ics0360544224013914.html
   My bibliography  Save this article

Semi-stationary and dynamic simulation models: A critical comparison of the energy and economic savings for the energy refurbishment of buildings

Author

Listed:
  • Calise, F.
  • Cappiello, F.L.
  • Cimmino, L.
  • Vicidomini, M.

Abstract

Dynamic simulation is a powerful tool for accurately evaluating the thermal demands of buildings and assessing the impact of energy refurbishment actions on their final consumption. Conversely, semi-stationary models are widely adopted in commercial applications for its simplified approach, which reduce calculation times, resulting in standardized results showing a certain deviation with respect to the real energy This paper presents the energy and economic comparison between the dynamic simulation and semi-stationary approaches for the calculation of primary energy demand of residential buildings. The semi-stationary method, used by the legislation to calculate the buildings energy label, is based on an energy performance parameter, not representative of the real energy demand. Conversely, an approach based on dynamic simulation provides a more reliable estimation of the primary energy demand. The main novelty of this paper is to numerically prove that the energy and economic savings calculated by means of software based on the current legislation may be overestimated. In this work, the dynamic simulation of the building-plant system is performed by TRaNsient SYstem Simulation (TRNSYS) program. Each building apartment is divided in thermal zones, where the internal heat gains are defined in detail. The semi-stationary simulation of the building-plant system is performed according to the Italian standard UNI TS 11300. The models allow one to evaluate the yearly primary energy demand, along with the energy bill and CO2 emissions. A specific case study is developed for a residential building located in Naples (Italy). The models are used to calculate the building energy demand for several scenarios, considering different thermal transmittances of the building elements. The results show that the semi-stationary method overestimates of primary energy saving, equal to 64.7 %, with respect to the one calculated with the dynamic approach, equal to 43.2 %.

Suggested Citation

  • Calise, F. & Cappiello, F.L. & Cimmino, L. & Vicidomini, M., 2024. "Semi-stationary and dynamic simulation models: A critical comparison of the energy and economic savings for the energy refurbishment of buildings," Energy, Elsevier, vol. 300(C).
  • Handle: RePEc:eee:energy:v:300:y:2024:i:c:s0360544224013914
    DOI: 10.1016/j.energy.2024.131618
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224013914
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.131618?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Dynamic modelling and thermoeconomic analysis of micro wind turbines and building integrated photovoltaic panels," Renewable Energy, Elsevier, vol. 160(C), pages 633-652.
    2. Calise, F. & Cappiello, F. & D'Agostino, D. & Vicidomini, M., 2021. "Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings," Energy, Elsevier, vol. 234(C).
    3. Buonomano, Annamaria & Calise, Francesco & Palombo, Adolfo & Vicidomini, Maria, 2019. "Transient analysis, exergy and thermo-economic modelling of façade integrated photovoltaic/thermal solar collectors," Renewable Energy, Elsevier, vol. 137(C), pages 109-126.
    4. Lombardi, Francesco & Rocco, Matteo Vincenzo & Belussi, Lorenzo & Danza, Ludovico & Magni, Chiara & Colombo, Emanuela, 2022. "Weather-induced variability of country-scale space heating demand under different refurbishment scenarios for residential buildings," Energy, Elsevier, vol. 239(PB).
    5. Ovaere, Marten & Proost, Stef, 2022. "Cost-effective reduction of fossil energy use in the European transport sector: An assessment of the Fit for 55 Package," Energy Policy, Elsevier, vol. 168(C).
    6. Kotarela, Faidra & Kyritsis, Anastasios & Agathokleous, Rafaela & Papanikolaou, Nick, 2023. "On the exploitation of dynamic simulations for the design of buildings energy systems," Energy, Elsevier, vol. 271(C).
    7. Lian, Richeng & Ou, Mingyu & Guan, Haocun & Cui, Jiahui & Piao, Junxiu & Feng, Tingting & Ren, Jinyong & Wang, Yaxuan & Wang, Yaofei & Liu, Lei & Chen, Xilei & Jiao, Chuanmei, 2023. "Facile fabrication of multifunctional energy-saving building materials with excellent thermal insulation, robust mechanical property and ultrahigh flame retardancy," Energy, Elsevier, vol. 277(C).
    8. Calise, Francesco & de Notaristefani di Vastogirardi, Giulio & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2018. "Simulation of polygeneration systems," Energy, Elsevier, vol. 163(C), pages 290-337.
    9. Calise, Francesco & Cappiello, Francesco L. & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2021. "Thermo-economic optimization of a novel hybrid renewable trigeneration plant," Renewable Energy, Elsevier, vol. 175(C), pages 532-549.
    10. Zhong, Fangliang & Calautit, John Kaiser & Wu, Yupeng, 2023. "Fault data seasonal imbalance and insufficiency impacts on data-driven heating, ventilation and air-conditioning fault detection and diagnosis performances for energy-efficient building operations," Energy, Elsevier, vol. 282(C).
    11. Buonomano, Annamaria & Calise, Francesco & Ferruzzi, Gabriele & Palombo, Adolfo, 2014. "Dynamic energy performance analysis: Case study for energy efficiency retrofits of hospital buildings," Energy, Elsevier, vol. 78(C), pages 555-572.
    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. Calise, F. & Cappiello, F. & D'Agostino, D. & Vicidomini, M., 2021. "Heat metering for residential buildings: A novel approach through dynamic simulations for the calculation of energy and economic savings," Energy, Elsevier, vol. 234(C).
    2. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Energy and economic analysis of a small hybrid solar-geothermal trigeneration system: A dynamic approach," Energy, Elsevier, vol. 208(C).
    3. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "Dynamic simulation and thermoeconomic analysis of a power to gas system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    5. Cao, Yan & Dhahad, Hayder A. & Alsharif, Sameer & Sharma, Kamal & El.Shafy, Asem Saleh & Farhang, Babak & Mohammed, Adil Hussein, 2022. "Multi-objective optimizations and exergoeconomic analyses of a high-efficient bi-evaporator multigeneration system with freshwater unit," Renewable Energy, Elsevier, vol. 191(C), pages 699-714.
    6. Vassiliades, C. & Savvides, A. & Buonomano, A., 2022. "Building integration of active solar energy systems for façades renovation in the urban fabric: Effects on the thermal comfort in outdoor public spaces in Naples and Thessaloniki," Renewable Energy, Elsevier, vol. 190(C), pages 30-47.
    7. Calise, Francesco & Dentice d'Accadia, Massimo & Libertini, Luigi & Quiriti, Edoardo & Vicidomini, Maria, 2017. "A novel tool for thermoeconomic analysis and optimization of trigeneration systems: A case study for a hospital building in Italy," Energy, Elsevier, vol. 126(C), pages 64-87.
    8. Marrasso, E. & Roselli, C. & Sasso, M. & Tariello, F., 2019. "Comparison of centralized and decentralized air-conditioning systems for a multi-storey/multi users building integrated with electric and diesel vehicles and considering the evolution of the national ," Energy, Elsevier, vol. 177(C), pages 319-333.
    9. Wu, Wei & Taipabu, Muhammad Ikhsan & Chang, Wei-Chen & Viswanathan, Karthickeyan & Xie, Yi-Lin & Kuo, Po-Chih, 2022. "Economic dispatch of torrefied biomass polygeneration systems considering power/SNG grid demands," Renewable Energy, Elsevier, vol. 196(C), pages 707-719.
    10. Federico Minelli & Diana D’Agostino & Maria Migliozzi & Francesco Minichiello & Pierpaolo D’Agostino, 2023. "PhloVer: A Modular and Integrated Tracking Photovoltaic Shading Device for Sustainable Large Urban Spaces—Preliminary Study and Prototyping," Energies, MDPI, vol. 16(15), pages 1-35, August.
    11. Qusay Hassan & Aws Zuhair Sameen & Hayder M. Salman & Marek Jaszczur, 2023. "A Roadmap with Strategic Policy toward Green Hydrogen Production: The Case of Iraq," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    12. Tomasz Cholewa & Alicja Siuta-Olcha & Anna Życzyńska & Aleksandra Specjał & Paweł Michnikowski, 2023. "On the Minimum and Maximum Variable Cost of Heating of the Flat in Multifamily Building," Energies, MDPI, vol. 16(2), pages 1-18, January.
    13. Anastasovski, Aleksandar, 2023. "What is needed for transformation of industrial parks into potential positive energy industrial parks? A review," Energy Policy, Elsevier, vol. 173(C).
    14. Sohani, Ali & Cornaro, Cristina & Shahverdian, Mohammad Hassan & Moser, David & Pierro, Marco & Olabi, Abdul Ghani & Karimi, Nader & Nižetić, Sandro & Li, Larry K.B. & Doranehgard, Mohammad Hossein, 2023. "Techno-economic evaluation of a hybrid photovoltaic system with hot/cold water storage for poly-generation in a residential building," Applied Energy, Elsevier, vol. 331(C).
    15. Abdelrazik, A.S. & Shboul, Bashar & Elwardany, Mohamed & Zohny, R.N. & Osama, Ahmed, 2022. "The recent advancements in the building integrated photovoltaic/thermal (BIPV/T) systems: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    16. Calise, Francesco & Dentice d'Accadia, Massimo & Figaj, Rafal Damian & Vanoli, Laura, 2016. "A novel solar-assisted heat pump driven by photovoltaic/thermal collectors: Dynamic simulation and thermoeconomic optimization," Energy, Elsevier, vol. 95(C), pages 346-366.
    17. Haitao Wang & Fanghao Wu & Ning Lu & Jianfeng Zhai, 2023. "Comprehensive Research on the Near-Zero Energy Consumption of an Office Building in Hefei Based on a Photovoltaic Curtain Wall," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    18. Liu, Aaron & Miller, Wendy & Cholette, Michael E. & Ledwich, Gerard & Crompton, Glenn & Li, Yong, 2021. "A multi-dimension clustering-based method for renewable energy investment planning," Renewable Energy, Elsevier, vol. 172(C), pages 651-666.
    19. He, Xianya & Huang, Jingzhi & Liu, Zekun & Lin, Jian & Jing, Rui & Zhao, Yingru, 2023. "Topology optimization of thermally activated building system in high-rise building," Energy, Elsevier, vol. 284(C).
    20. Sohani, Ali & Sayyaadi, Hoseyn & Miremadi, Seyed Rahman & Yang, Xiaohu & Doranehgard, Mohammad Hossein & Nizetic, Sandro, 2023. "Determination of the best air space value for installation of a PV façade technology based on 4E characteristics," Energy, Elsevier, vol. 262(PB).

    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:eee:energy:v:300:y:2024:i:c:s0360544224013914. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.