Modeling operation mode of pellet boilers for residential heating

Petrocelli, Domenico; Lezzi, Adriano Maria

doi:10.1088/1742-6596/547/1/012017

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…On the other hand, many authors also focused on life cycle assessment of biomass heating systems (Caserini et al 2010;Cespi et al 2014;Quinteiro et al 2019). Biomass appliances use wood logs or pellet as fuel and are divided into two groups: boilers (Haller et al 2011;Petrocelli and Lezzi 2014;Carlon et al 2015) and air stoves. The present paper focuses on the last-mentioned solution since it is the most diffused in the market, although boilers can be versatile with different integration such as solar heating (Persson et al 2019;Krarouch et al 2020) and new technologies as wood-pellet hybrid stoves (Lamberg et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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“…A quasisteady state mathematical model was employed in [39] to model the performance of a storage tank which was part of a DHC system of an institutional building located in a Mediterranean climate. Petrocelli and Lezzi investigated the effect of storage tank size on a wood pellet boiler in the control strategy [40]. Fluid dynamics, both three-dimensional numerical and computational, have been also utilised to simulate the performance and dynamics of various storage tank configurations [41,42].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling

et al. 2022

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Modelling of thermal energy storage (TES) systems is a complex process that requires the development of sophisticated computational tools for numerical simulation and optimization. Until recently, most modelling approaches relied on analytical methods based on equations of the physical processes that govern TES systems’ operations, producing high-accuracy and interpretable results. The present study tackles the problem of modelling the temperature dynamics of a TES plant by exploring the advantages and limitations of an alternative data-driven approach. A hybrid bimodal LSTM (H2M-LSTM) architecture is proposed to model the temperature dynamics of different TES components, by utilizing multiple temperature readings in both forward and bidirectional fashion for fine-tuning the predictions. Initially, a selection of methods was employed to model the temperature dynamics of individual components of the TES system. Subsequently, a novel cascading modelling framework was realised to provide an integrated holistic modelling solution that takes into account the results of the individual modelling components. The cascading framework was built in a hierarchical structure that considers the interrelationships between the integrated energy components leading to seamless modelling of whole operation as a single system. The performance of the proposed H2M-LSTM was compared against a variety of well-known machine learning algorithms through an extensive experimental analysis. The efficacy of the proposed energy framework was demonstrated in comparison to the modelling performance of the individual components, by utilizing three prediction performance indicators. The findings of the present study offer: (i) insights on the low-error performance of tailor-made LSTM architectures fitting the TES modelling problem, (ii) deeper knowledge of the behaviour of integral energy frameworks operating in fine timescales and (iii) an alternative approach that enables the real-time or semi-real time deployment of TES modelling tools facilitating their use in real-world settings.

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Holistic modelling techniques for the operational optimisation of multi-vector energy systems

Reynolds

Ahmad

Rezgui

2018

Energy and Buildings

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Modeling operation mode of pellet boilers for residential heating

Cited by 5 publications

References 14 publications

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

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

A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling

Holistic modelling techniques for the operational optimisation of multi-vector energy systems

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