scholarly journals Radiant Conditioning Retrofitting for Residential Buildings

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 449
Author(s):  
Hung Q. Do ◽  
Mark B. Luther ◽  
Mehdi Amirkhani ◽  
Zheng Wang ◽  
Igor Martek

In order to achieve Australia’s greenhouse gas emissions reduction targets, a majority of the existing residential building stock in Australia will require retrofitting in favour of energy-efficient solutions. This paper considers retrofitting for conditioning to be one of the most straightforward and offers the greatest potential to deliver significant comfort and energy-saving results. Radiant conditioning systems are not new, yet some game-changing innovations have taken place over the last decade that may require an entire paradigm shift in the manner we condition our buildings. The reiteration of the principle ‘thermally active systems’ suggests that our buildings need to accommodate these systems into the fabric of building components. However, extremely few products and/or innovative solutions for doing such seem to be provided by the industry. We seem incompetent with solutions that are not costing the Earth, insulating, lightweight, and offering an instant response time to conditioning. We still have the concept embedded in our minds that radiative systems consist of heavy ‘combat’ construction with time lags of a day or two and that they are very costly to implement, especially if we are to retrofit a project. The purpose of this paper is to rectify and change our understanding of radiant systems, namely through a review of the existing technology and its recent advancements. It intends to introduce the fact that radiant systems can become highly reactive, responsive, and thermally dynamic conditioning systems. Lightweight radiant systems can be 40% more energy-efficient than common air conditioners and can respond in less than 15 min rather than in the hours required of heavy radiant systems. Thus, an insulated, lightweight radiant system is ideal for retrofitting residential buildings. Furthermore, this paper supports and introduces various systems suited to retrofitting a residential building with hydronic radiant systems.

2021 ◽  
Vol 13 (8) ◽  
pp. 4099
Author(s):  
Ann-Kristin Mühlbach ◽  
Olaf Mumm ◽  
Ryan Zeringue ◽  
Oskars Redbergs ◽  
Elisabeth Endres ◽  
...  

The METAPOLIS as the polycentric network of urban–rural settlement is undergoing constant transformation and urbanization processes. In particular, the associated imbalance of the shrinkage and growth of different settlement types in relative geographical proximity causes negative effects, such as urban sprawl and the divergence of urban–rural lifestyles with their related resource, land and energy consumption. Implicitly related to these developments, national and global sustainable development goals for the building sector lead to the question of how a region can be assessed without detailed research and surveys to identify critical areas with high potential for sustainable development. In this study, the TOPOI method is used. It classifies settlement units and their interconnections along the urban–rural gradient, in order to quantify and assess the land-uptake and global warming potential driven by residential developments. Applying standard planning parameters in combination with key data from a comprehensive life cycle assessment of the residential building stock, a detailed understanding of different settlement types and their associated resource and energy consumption is achieved.


Author(s):  
Darija Gajić ◽  
Anna Sandak ◽  
Slobodan Peulić ◽  
Črtomir Tavzes ◽  
Tim Mavrič

System of prefabricated modules installed on the existing building envelope is one alternativesolution for deep energy refurbishment of buildings in the European Union. It allows thermalupgrade installation of new parts in the HVAC system. Moreover, some elements of the envelopecan be made of renewable materials. This research compares the residential building stock andidentifies potential types of buildings for energy refurbishment in Bosnia and Herzegovina andSlovenia. It presents refurbishment possibilities of existing residential building stock in bothcountries with prefabricated timber panels. It also presents potential obstacles to the widerapplication of this refurbishment solution.


Heritage ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1433-1468
Author(s):  
Marco Vettore ◽  
Marco Donà ◽  
Pietro Carpanese ◽  
Veronica Follador ◽  
Francesca da Porto ◽  
...  

More than the 60% of the Italian residential building stock had already been built by 1974, when seismic codes were enforced on a minimal part of the country. Unreinforced masonry buildings represent most of that share, but they are typical for each region, in terms of both materials and structural configurations. The definition of ‘regional’, i.e., more specific, vulnerability and exposure models are required to improve existing forecast models. The research presents a new geographic information system (GIS)-based multilevel procedure for earthquake disaster prevention planning at urban scale; it includes multicriteria analysis, such as architectural types, structural vulnerability analysis, microzonation studies, and socio-economic aspects. The procedure has been applied to the municipality of Pordenone (PN), a district town of the Friuli–Venezia–Giulia region, in Northeast Italy. To assess the urban seismic risk, more than 5000 masonry residential buildings were investigated and common types within sub-municipal areas and exposure data were collected. Simplified mechanical analysis provided a ‘regional’ vulnerability model through typological fragility curves. The integration of results into GIS tool permitted the definition of cross-mapping among vulnerability, damage scenarios (conditional and unconditional) and exposure (seismic losses, casualties, impact), with respect to various earthquake intensities expected in the town. These results are presented at different scales: from the single building, to submunicipal area and to the entire town.


2017 ◽  
Vol 7 (1) ◽  
pp. 7-14 ◽  
Author(s):  
Soufiane Boukarta ◽  
Ewa Berezowska

AbstractIn the context of the Algerian energy policy, and through the review of the Algiers’ residential building stock, this paper explores the correlation between the energy consumption of gas and electricity with urban density. Based on a holistic approach of the 57 Algiers’ municipalities, the analysis is organized in two ways. Firstly, the spatial approach is conducted within a GIS implementation, carried out based on the 2013 aggregated annual energy consumption data. The cross analysis of Electricity and Gas consumption and density of population within a GIS spatial distribution approach shows effectively a strong correlation between urban density and energy consumption with a Pearson correlation of −56% and −65% of the Electricity and Gas consumption in the urban municipalities, respectively. Also, the household located in the suburban municipalities consume clearly more energy than the urban centered ones. Based on the electricity and gas consumption, density and carbon footprint we have clustered, within a PCA, the Algiers’ municipalities into three profiles: the “thrifty”, the “intermediate” and the “wasteful” profile.


Author(s):  
Nermina Zagora ◽  
Mladen Burazor ◽  
Erdin Salihović

This paper intends to bring attention of both scientific and general audience to the status quo of the existing, residential building stock in Bosnia and Herzegovina, highlighting its energy savings potential. The research results presented in this text may be applicable on two levels: on a larger scale, the policy makers may use this data in the process of development of strategic and EE measures implementation plans, while, on a smaller scale, the individual users may gain practical insight into the benefits of energy saving measures and implement them in their own households. Moreover, the exposed data may be subject to further evaluations, studies and comparisons, while the presented methodology can be used by other researchers in countries where there have not been research activities on the existing residential buildings stock from the EE perspective.


2019 ◽  
Vol 11 (22) ◽  
pp. 6482
Author(s):  
Katerina Sojkova ◽  
Martin Volf ◽  
Antonin Lupisek ◽  
Roman Bolliger ◽  
Tomas Vachal

Energy retrofitting of existing building stock has significant potential for the reduction of energy consumption and greenhouse gas emissions. Roughly half of the CO2 emissions from Czech building stock are estimated to be allocated to residential buildings. Approximately one-third of the Czech residential building stock have already been retrofitted, but retrofitting mostly takes place in large cities due to greater income. A favourable concept for the mass retrofitting of residential building stock, affordable even in low-income regions, was of interest. For a reference building, multi-criteria assessment of numerous retrofitting measures was performed. The calculation involved different building elements, materials, solutions, and energy-efficiency levels in combination with various heating systems. The assessment comprised environmental impact, represented by operational and embodied primary energy consumption and greenhouse gas emissions, and investment and operational costs using the annuity method. Analysis resulted in the identification of favourable retrofitting measures and showed that complex building retrofitting is advantageous from both a cost and an environmental point of view. The environmental burden could be decreased by approximately 10–30% even without photovoltaic installation, and costs per year could be decreased by around 40%.


2020 ◽  
Vol 36 (1_suppl) ◽  
pp. 298-320
Author(s):  
Ana Beatriz Acevedo ◽  
Catalina Yepes-Estrada ◽  
Daniela González ◽  
Vitor Silva ◽  
Miguel Mora ◽  
...  

This study presents a seismic risk assessment and a set of earthquake scenarios for the residential building stock of the three largest metropolitan centers of Colombia: Bogotá, Medellín and Cali (with 8.0, 2.5, and 2.4 million inhabitants, respectively). A uniform methodology was followed for the development of the seismic hazard, vulnerability, and exposure models, thus allowing a direct comparison between the seismic risk of the different cities. Risk metrics such as exceedance probability curves and average annual losses were computed for each city. The earthquake scenarios were selected considering events whose direct economic impact is similar to the aggregated loss for a probability of exceedance of 10% in 50 years. Results show a higher mean aggregate loss ratio for Cali and similar mean aggregate loss ratios for Bogotá and Medellín. All of the models used in this study are openly accessible, enabling risk modelers, engineers, and stakeholders to explore them for disaster risk management.


2020 ◽  
Author(s):  
Danhua Xin ◽  
James Edward Daniell ◽  
Hing-Ho Tsang ◽  
Friedemann Wenzel

Abstract. Previous seismic damage reports have shown that the damage and collapse of buildings is the leading cause of fatality and property loss, especially in developing countries. To better serve the risk analysis targeted at near-real-time post-earthquake mitigation and pre-earthquake preparedness and resources allocation, this study develops a fully reproducible grid-level residential building stock model for mainland China, by disaggregating urbanity level census data of each province into 1 km × 1 km scale and using population density profile as the proxy. To evaluate the model performance, the modelled residential building stock value is compared with the net capital stock value in Wu et al. (2014) using perpetual inventory method at provincial level. The modelled stock values in these two studies are in good agreement for all the 31 provinces in mainland China. Furthermore, district level comparison of the residential floor area developed in this study with records from statistical yearbook of Shanghai is also conducted. It turns out that the floor area developed in this study is compatible with floor area recorded in the yearbook of Shanghai. To further validate the applicability of the modelled results in seismic risk assessment, an estimation of the scenario loss to modelled residential buildings is performed, by assuming the recurrence of 2008 Wenchuan M8.0 earthquake. The overall estimated loss approximates the loss value derived from damage reports based on field investigation quite well. Both results indicate the reliability of the residential building stock model developed in this study. The limitations of this study are discussed and directions for future work are recommended.


2021 ◽  
Vol 21 (10) ◽  
pp. 3031-3056
Author(s):  
Danhua Xin ◽  
James Edward Daniell ◽  
Hing-Ho Tsang ◽  
Friedemann Wenzel

Abstract. To enhance the estimation accuracy of economic loss and casualty in seismic risk assessment, a high-resolution building exposure model is necessary. Previous studies in developing global and regional building exposure models usually use coarse administrative-level (e.g. country or sub-country level) census data as model inputs, which cannot fully reflect the spatial heterogeneity of buildings in large countries like China. To develop a high-resolution residential building stock model for mainland China, this paper uses finer urbanity-level population and building-related statistics extracted from the records in the tabulation of the 2010 population census of the People's Republic of China (hereafter abbreviated as the “2010 census”). In the 2010 census records, for each province, the building-related statistics are categorized into three urbanity levels (urban, township, and rural). To disaggregate these statistics into high-resolution grid level, we need to determine the urbanity attributes of grids within each province. For this purpose, the geo-coded population density profile (with 1 km × 1 km resolution) developed in the 2015 Global Human Settlement Layer (GSHL) project is selected. Then for each province, the grids are assigned with urban, township, or rural attributes according to the population density in the 2015 GHSL profile. Next, the urbanity-level building-related statistics can be disaggregated into grids, and the 2015 GHSL population in each grid is used as the disaggregation weight. Based on the four structure types (steel and reinforced concrete, mixed, brick and wood, other) and five storey classes (1, 2–3, 4–6, 7–9, ≥10) of residential buildings classified in the 2010 census records, we reclassify the residential buildings into 17 building subtypes attached with both structure type and storey class and estimate their unit construction prices. Finally, we develop a geo-coded 1 km × 1 km resolution residential building exposure model for 31 provinces of mainland China. In each 1 km × 1 km grid, the floor areas of the 17 residential building subtypes and their replacement values are estimated. The model performance is evaluated to be satisfactory, and its practicability in seismic risk assessment is also confirmed. Limitations of the proposed model and directions for future improvement are discussed. The whole modelling process presented in this paper is fully reproducible, and all the modelled results are publicly accessible.


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