Building stock characteristics and energy performance of residential buildings in Eastern-European countries

Csoknyai, Tamás; Hrabovszky-Horváth, Sára; Georgiev, Zdravko; Jovanović-Popović, Milica; Stanković, Bojana; Villatoro, Otto; Szendrő, Gábor

doi:10.1016/j.enbuild.2016.06.062

Cited by 99 publications

(72 citation statements)

References 16 publications

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“…Open city blocks constructed during the socialist period * were greenfield developments in new, mainly suburban areas, with strong governmental control and a sense of collective property. This has been reflected on various levels that affect current options for energy efficiency upgrades that were considered in this research: Several researches conducted at both national and local (municipality New Belgrade) level, as well as numerous case studies have shown that energy needed for heating of this portion of housing stock can be improved by 30-78% [14][15][16][17] by applying simple architectural measures, averaging around 60%, which is consistent with similar building types in other European countries [3,[18][19][20]. Such volume of estimated savings could reflect on wider energy picture on local and even national level.…”

Section: Introductionsupporting

confidence: 60%

Potentials for improving energy performance of multifamily housing blocks connected to the district heating system

2018

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Developments conceived following the principles of Athens Charter were typical form of urban answer to the post-war housing shortage and during the decades of intense construction activity that followed. In city of Belgrade, multifamily housing in open city blocks built between 1961 and 1990 account for about 40% of current housing stock. The current ownership and operation of these housing blocks derive from their socialist legacy: home-owners rights relate only to the buildings, excluding any open spaces, even the ones immediately along the building's perimeter. On the other hand, heating is supplied by district heating system. Management of open spaces as well as provision of district heating are subordinates to local municipality (the city of Belgrade). Energy efficiency related refurbishment options for these developments that would engage both the home-owners and the public companies may be the key for bringing ever-needed modernization, prolonged lifespan and a sustainable way of using this portion of housing stock. By applying simple architectural measures, energy demand for heating of these buildings can be reduced by 30-78%, which opens a pathway for effective use of renewable energy sources. Unlike solar energy, which can be managed at building level, geothermal energy can be exploited only at the district level due to the ownership rights. The presented research explores the effectiveness of using geothermal energy at a district level coupled with systematic approach to building refurbishment, taking the advantage of the repetitive use of the same building design and the formal and practical relations with local authorities.

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Section: Introductionsupporting

confidence: 60%

Potentials for improving energy performance of multifamily housing blocks connected to the district heating system

2018

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“…Finally, this passive method needs to be redesigned and adjusted to the amount of surface and permeability level of covering employed in each case in order to obtain the best possible indoor ambience behavior. Thus, this methodology can be employed for almost all kinds of buildings and weather conditions [31,32]. Furthermore, this methodology would be of interest because climate variations will induce different indoor ambiences in each type of building and, therefore, this and others passive methods must be adjusted for each particular region [33][34][35][36].…”

Section: Discussionmentioning

confidence: 99%

A Novel Method Based on Neural Networks for Designing Internal Coverings in Buildings: Energy Saving and Thermal Comfort

et al. 2019

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Featured Application: This work shows a new methodology to optimize the exact amount of permeable internal coverings in a building, thereby becoming a passive method control system for this indoor ambience.Abstract: Although several papers define energy saving and thermal comfort optimization with internal coverings materials, none of them deal with predictive models to improve design in building constructions. Thus, artificial intelligence (AI) procedures were applied in this paper. In particular, neural networks (NNs) were designed for indoor ambiences with internal covering materials in different buildings, were trained and employed to predict indoor ambiences (indoor temperature and relative humidity as a function of weather conditions), and, based on these procedures, local thermal comfort conditions and energy consumption, due to the type of internal covering permeability level, were calculated. Results from this original methodology showed a better acceptability of indoor ambiences when permeable coating materials were used, in agreement with previous research works. At the same time, with permeable coverings, a lower energy consumption of 20% in the heating, ventilation, and air conditioning (HVAC) systems was needed to reach more comfortable conditions during the summer season in the first hours of occupation. Finally, all these results suggest an original methodology to optimize indoor ambiences based on the design of internal coverings by NN.

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“…According to different building types, an energy benchmarking could be proposed as representative of a great part of entire national building stock. This approach has been further developed in TABULA project in order to reduce the effort for the energy assessment of the total building portfolio [14,20,21]. It takes into account the concept of building typology as a group of parameters that affecting the global building energy performance, with the use of a reference building for evaluating similar ones.…”

Section: Building Typology and Urban Energy Performancementioning

confidence: 99%

Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City

et al. 2019

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The causal relation among building typology and building energy demand is a complex balance of climate, morphology, technology and use. The assessment of the relation between mass of building elements and energy demand in different housing typologies is the main goal of this study. A novel indicator, namely the Buildingmass, is introduced and tested in the Mediterranean climate region. Explorations on nine conventional housing typologies in Barcelona and Rome are carried out. Buildingmass evaluation is based on the calculation of the mass of building elements. Energy demand is assessed by modelling on multi-space dynamic thermal analysis tool. Our results point out that the Buildingmass has a strong relevance on energy, playing an important role in reducing heating and cooling demand in the Mediterranean city, as described by the proposed correlation (R 2 = 0.88). Moreover, this indicator gives a more detailed characterisation of the housing stock of the Mediterranean city. The study aims at bridging the gap between urban physics and urban metabolism studies and fostering energy conservation measures for the built environment.

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Building stock characteristics and energy performance of residential buildings in Eastern-European countries

Cited by 99 publications

References 16 publications

Potentials for improving energy performance of multifamily housing blocks connected to the district heating system

Potentials for improving energy performance of multifamily housing blocks connected to the district heating system

A Novel Method Based on Neural Networks for Designing Internal Coverings in Buildings: Energy Saving and Thermal Comfort

Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City

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