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Energy analysis of a wood or pellet stove in a single-family house equipped with gas boiler and radiators


In the residential sector, biomass appliances are widely used for space heating and often combined with other systems. This work aims at comparing the final and primary energy consumption of different configurations, including a conventional and a ducted pellet stove and a wood log stove using air as heat transfer fluid. A dynamic analysis of the interaction between biomass stoves and conventional heating systems, such as gas boilers and radiators, is carried out within a typical single-family house in a mild climate, using TRNSYS software. In addition, natural ventilation of the building is considered using CONTAM, with a focus on external infiltrations and internal air circulation due to the buoyancy effect. Results show that the biomass device in one room promotes the airflows between adjacent thermal zones, enhancing the heat distribution through door openings, in particular when an air ducted stove is present. The final energy consumption resulting from simulations with wood-burning stoves is 21% higher than pellet stoves. The pellet stove results in similar final energy and a 30% increase in overall primary energy, while the wood stove increases the final energy by 22% and approximately 40% of overall primary energy compared to the case of a traditional gas system coupled to radiators which is considered as reference. Nevertheless, non-renewable primary energy savings are higher than 50% with pellet stoves and 60% with wood-log stoves.


  • ARPAV (2015). Indagine sul consumo domestico di biomasse legnose in Veneto. Regional Agency for Environmental Protection of Veneto (ARPAV). Available at 20in%20Veneto_1.0.pdf/view (in Italian)

  • Bergman T, Lavine A (2017). Fundamental of Heat and Mass Transfer, 8th edn. Hoboken, NJ, USA: John Wiley and Sons

    Google Scholar 

  • Cablé A, Georges L, Peigné P, et al. (2019). Evaluation of a new system combining wood-burning stove, flue gas heat exchanger and mechanical ventilation with heat recovery in highly-insulated houses. Applied Thermal Engineering, 157: 113693.

    Article  Google Scholar 

  • Cai N, Chow WK (2014). Numerical studies on heat release rate in a room fire burning wood and liquid fuel. Building Simulation, 7: 511–524.

    Article  Google Scholar 

  • Calderón C, Avagianos I, Jossart J (2020). Report Bioheat. Bioenergy Europe. Available at:

  • Carlon E, Verma VK, Schwarz M, et al. (2015). Experimental validation of a thermodynamic boiler model under steady state and dynamic conditions. Applied Energy, 138: 505–516.

    Article  Google Scholar 

  • Carlon E, Schwarz M, Prada A, et al. (2016). On-site monitoring and dynamic simulation of a low energy house heated by a pellet boiler. Energy and Buildings, 116: 296–306.

    Article  Google Scholar 

  • Carvalho RL, Jensen OM, Afshari A, et al. (2013). Wood-burning stoves in low-carbon dwellings. Energy and Buildings, 59: 244–251.

    Article  Google Scholar 

  • Carvalho RL, Jensen OM, Tarelho LAC (2016). Mapping the performance of wood-burning stoves by installations worldwide. Energy and Buildings, 127: 658–679.

    Article  Google Scholar 

  • Caserini S, Livio S, Giugliano M, et al. (2010). LCA of domestic and centralized biomass combustion: The case of Lombardy (Italy). Biomass and Bioenergy, 34: 474–482.

    Article  Google Scholar 

  • Cespi D, Passarini F, Ciacci L, et al. (2014). Heating systems LCA: Comparison of biomass-based appliances. The International Journal of Life Cycle Assessment, 19: 89–99.

    Article  Google Scholar 

  • Collins L (2012). Predicting annual energy consumption with thermal simulation: a UK perspective on mitigation of risks in estimation and operation. Building Simulation, 5: 117–125.

    Article  Google Scholar 

  • Cóstola D, Blocken B, Hensen JLM (2009). Overview of pressure coefficient data in building energy simulation and airflow network programs. Building and Environment, 44: 2027–2036.

    Article  Google Scholar 

  • De Carli M, Marigo M, Zulli F, et al. (2020). Action D3. Bilancio energetico del settore residenziale—Report sui consumi dei vettori energetici impiegati nel riscaldamento delle abitazioni del Bacino Padano. Available at (in Italian)

  • Dols WS, Polidoro BJ (2015).CONTAM user guide and program documentation. Version 3.2. NIST Technical note 1887. Available at:

  • Duanmu L, Yuan P, Wang Z, Xu C (2017). Heat transfer model of hot-wall Kang based on the non-uniform Kang surface temperature in Chinese rural residences. Building Simulation, 10: 145–163.

    Article  Google Scholar 

  • Elnakat A, Gomez JD (2016). The flame dilemma: A data analytics study of fireplace influence on winter energy consumption at the residential household level. Energy Reports, 2: 14–20.

    Article  Google Scholar 

  • European Commission (2019). The European Green Deal. Available at Accessed 14 Sept 2021.

  • European Committee for Standardization (2006). EN 14785:2006, Residential space heating appliances fired by wood pellets. Requirements and test methods, European Standard.

  • European Committee for Standardization (2008). EN 15603:2008, Energy performance of buildings—Overall energy use and definition of energy ratings, European Standard.

  • European Committee for Standardization (2017). EN 15316:2017, Heating systems in building. Method for calculation of system energy requirements and system efficiencies—Part 1: General and energy performance expression, European Standard.

  • European Committee for Standardization (2018). EN 16510:2018, Residential solid fuel burning appliances—Part 1: General requirements and test methods, European Standard.

  • European Committee for Standardization (2019). EN 16798–1:2019, Energy performance of buildings—Ventilation of buildings—Part 1: Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics, European Standard.

  • European Parliament and Council (2018). On the promotion of the use of energy from renewable sources (Directive 2018/2001). Official Journal of the European Union. 82–209. Available at

  • Eurostat (2018). Energy consumption in households. Available at Energy_consumption_in_households#Energy_products_used_in_the_residential_sector. Accessed 13 Sept 2021.

  • Feist W, Schnieders J, Dorer V, et al. (2005). Re-inventing air heating: Convenient and comfortable within the frame of the Passive House concept. Energy and Buildings, 37: 1186–1203.

    Article  Google Scholar 

  • Fine JP, Gray J, Tian X, et al. (2020). An investigation of alternative methods for determining envelope airtightness from suite-based testing in multi-unit residential buildings. Energy and Buildings, 214: 109845.

    Article  Google Scholar 

  • Francescato V, Rossi D (2019). Rapporto statistico AIEL 2019 — Evoluzione del consumo di biocombustibili e delle emissioni della combustione in Italia, a scala domestica e commerciale. (In Italian)

  • Fritsche UR, Greß H-W (2015). Development of the Primary Energy Factor of Electricity Generation in the EU-28 from 2010–2013.

  • International Institute for Sustainability Analysis and Strategy (IINAS). Available at–2013.pdf.

  • Gauthier G, Avagianos I, Calderón C, et al. (2020). Report Pellets. Bioenergy Europe. Available at Accessed 13 Sept 2021.

  • Georges L, Novakovic V (2012). On the integration of wood stoves for the space-heating of passive houses: Assessment using dynamic simulation. In: Proceedings of the First Building Simulation Optim Conference.

  • Georges L, Skreiberg Ø, Novakovic V (2014). On the proper integration of wood stoves in passive houses under cold climates. Energy and Buildings, 72: 87–95.

    Article  Google Scholar 

  • Haller MY, Paavilainen J, Konersmann L, et al. (2011). A unified model for the simulation of oil, gas and biomass space heating boilers for energy estimating purposes. Part I: Model development. Journal of Building Performance Simulation, 4: 1–18.

    Article  Google Scholar 

  • Harkouss F, Fardoun F, Biwole PH (2018). Optimization approaches and climates investigations in NZEB—A review. Building Simulation, 11: 923–952.

    Article  Google Scholar 

  • Heiselberg P (2006). Modelling of natural and hybrid ventilation. DCE Lecture notes No. 4. Department of Civil Engineering, Aalborg University.

  • Holst S (1996). TRNSYS—Models for radiator heating systems.

  • Italian Organisation for Standardisation (2012). UNI/TS 11300–4, Energy performance of buildings, Part 4: Renewable energy and other generation systems for space heating and domestic hot water production. (in Italian)

  • Italian Organisation for Standardisation (2014). UNI/TR 11552, Opaque envelope components of buildings, Thermo-physical parameters. (in Italian)

  • ISTAT (2011). 15° Censimento Generale della Popolazione e delle Abitazioni. National Institute of Statistics (ISTAT). Available at Accessed 1 Jun 2020. (in Italian)

  • ISTAT (2013). Censimento sui Consumi Energetici delle Famiglie. National Institute of Statistics (ISTAT). Available at: Accessed 14 Sept 2021. (in Italian)

  • Jenkins D, Jackson F (2010). Wood pellet heating systems: The Earthscan expert handbook on planning, design and installation. Available at

  • Klein SA, Beckman WA, Mitchell JW, et al. (2014). TRNSYS 17, a TRaNsient SYstem Simulation program: vol. 4, Mathematical Reference. Available at

  • Krarouch M, Ruesch F, Hamdi H, et al. (2020). Dynamic simulation and economic analysis of a combined solar thermal and pellet heating system for domestic hot water production in a traditional Hammam. Applied Thermal Engineering, 180: 115839.

    Article  Google Scholar 

  • Kristjansson K, Næss E, Skreiberg Ø (2016). Dampening of wood batch combustion heat release using a phase change material heat storage: Material selection and heat storage property optimization. Energy, 115: 378–385.

    Article  Google Scholar 

  • Lamberg H, Sippula O, Tissari J, et al. (2017). Operation and emissions of a hybrid stove fueled by pellets and log wood. Energy & Fuels, 31: 1961–1968.

    Article  Google Scholar 

  • Li Q, Jiang J, Wang S, et al. (2017). Impacts of household coal and biomass combustion on indoor and ambient air quality in China: Current status and implication. Science of the Total Environment, 576: 347–361.

    Article  Google Scholar 

  • Li G, Zhang J, Li H, et al. (2021). Towards high-quality biodiesel production from microalgae using original and anaerobically-digested livestock wastewater. Chemosphere, 273: 128578.

    Article  Google Scholar 

  • McDowell TP, Emmerich S, Thornton JW, et al. (2003). Integration of airflow and energy simulation using CONTAM and TRNSYS. ASHRAE Transactions, 109(2): 757–770.

    Google Scholar 

  • Ng LC, Musser A, Persily AK, et al. (2013). Multizone airflow models for calculating infiltration rates in commercial reference buildings. Energy and Buildings, 58: 11–18.

    Article  Google Scholar 

  • Oehler H, Mark R, Hartmann H, et al. (2016). Development of a test procedure to reflect real life operation of pellet stoves. In: Proceedings of the 24th European Biomass Conference and Exhibition, Amsterdam, The Netherlands.

  • Patti S, Pillon S, Intini B, et al. (2020). Action D3. Wood consumption estimation in the Po Valley—Report on the survey to estimate woody biomasses consumption in households. Available at–1.pdf

  • Pedersen TH, Hedegaard RE, Kristensen KF, et al. (2019). The effect of including hydronic radiator dyamics in model predictive control of space heating. Energy and Buildings, 183: 772–784.

    Article  Google Scholar 

  • Persson T, Nordlander S, Rönnelid M (2005). Electrical savings by use of wood pellet stoves and solar heating systems in electrically heated single-family houses. Energy and Buildings, 37: 920–929.

    Article  Google Scholar 

  • Persson T, Fiedler F, Nordlander S, et al. (2009). Validation of a dynamic model for wood pellet boilers and stoves. Applied Energy, 86: 645–656.

    Article  Google Scholar 

  • Persson T, Wiertzema H, Win KM, et al. (2019). Modelling of dynamics and stratification effects in pellet boilers. Renewable Energy, 134: 769–782.

    Article  Google Scholar 

  • Petrocelli D, Lezzi AM (2014). Modeling operation mode of pellet boilers for residential heating. Journal of Physics: Conference Series, 547: 012017.

    Google Scholar 

  • Quinteiro P, Tarelho L, Marques P, et al. (2019). Life cycle assessment of wood pellets and wood split logs for residential heating. Science of the Total Environment, 689: 580–589.

    Article  Google Scholar 

  • Risberg D, Risberg M, Westerlund L (2016). CFD modelling of radiators in buildings with user-defined wall functions. Applied Thermal Engineering, 94: 266–273.

    Article  Google Scholar 

  • Schumack M (2016). A computational model for a rocket mass heater. Applied Thermal Engineering, 93: 763–778.

    Article  Google Scholar 

  • Seem JE (1987). Modelling of heat transfer in buildings. Ph.D Thesis, University of Wisconsin Madison, USA.

    Google Scholar 

  • Skreiberg Ø, Georges L (2018). Transient heat production and release profiles for wood stoves. Chemical Engineering Transactions, 65: 223–228.

    Google Scholar 

  • Swami MV, Chandra S (1988). Correlations for pressure distribution on buildings and calculation of natural-ventilation airflow. ASHRAE Transactions, 94(1): 243–266.

    Google Scholar 

  • TESS (2012). TESS component libraries — General description. Thermal Energy Storage Specialists (TESS). Available at: Accessed 13 Sept 2021.

  • Tol Hİ (2020). Improved space-heating radiator model: Focus on set-back operation, radiator over-dimensioning, and add-on fans. Building Simulation, 13: 317–334.

    Article  Google Scholar 

  • Xu B, Fu L, Di H (2008). Dynamic simulation of space heating systems with radiators controlled by TRVs in buildings. Energy and Buildings, 40: 1755–1764.

    Article  Google Scholar 

  • Yu K, Cao Z, Liu Y (2017). Research on the optimization control of the central air-conditioning system in university classroom buildings based on TRNSYS software. Procedia Engineering, 205: 1564–1569.

    Article  Google Scholar 

  • Zhao N, Li B, Li H, et al. (2021). The potential co-benefits for health, economy and climate by substituting raw coal with waste cooking oil as a winter heating fuel in rural households of Northern China. Environmental Research, 194: 110683.

    Article  Google Scholar 

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This study was developed from the Action D3 of the LIFE+ PREPAIR Project ( which received funding from LIFE Program, under Grant Agreement LIFE 15 IPE IT013. The authors gratefully acknowledge the support of the Regional Agency for Environmental Protection of Veneto (ARPAV), in particular thanks are due to Dr. Silvia Pillon and Dr. Laura Susanetti.

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Correspondence to Marco Marigo.

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Marigo, M., Zulli, F., Bordignon, S. et al. Energy analysis of a wood or pellet stove in a single-family house equipped with gas boiler and radiators. Build. Simul. 15, 1577–1593 (2022).

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  • energy model
  • pellet stove
  • wood log stove
  • biomass