Renovation Of Buildings Research Articles

Building Renovation by Using Maximum Edge Distance Method

Building Renovation by Using Maximum Edge Distance Method

Material Flow Analysis-Based Sustainability Assessment for Circular Economy Scenarios of Urban Building Stock of Vienna

Urban buildings consume raw material and energy, and they produce waste and greenhouse gasses. Sustainable urban development strategies aim to reduce these. Using the case study of buildings in Vienna, this article evaluates the impact of a defined urban development pathway on the heating energy demand, greenhouse gas emissions, and total material requirement of buildings in Vienna for 2021–2050. Furthermore, the impact of recycling to reduce the total material requirement and to increase the circular material use rate is evaluated. The results show that the heating energy demand can be reduced to meet the targets of Vienna’s sustainable development strategy. The same does not count for greenhouse gas emissions. To meet the targets for the latter, the renovation of old buildings by thermal insulation should be expanded and heating systems substituted. With respect to the total material requirement, the recycling of demolition waste from buildings in Vienna to produce secondary raw materials for buildings in Vienna can help to achieve the reduction targets of Vienna’s sustainable development strategy so that in the year 2050, the material footprint is only 44% of the value of the year 2019. Since there is a contradiction between the total material requirement and the circular material use rate, the latter has to be discussed for its use as a circular economy indicator, since the aim of circular economy is not to produce as much recycling materials as possible, but to reduce resource consumption to a sustainable level.

Application of a cost-effective methodology for the refurbishment of DOCOMOMO buildings. A case study in Northern Spain

The energy rehabilitation of listed buildings guaranteeing heritage values but allowing a use that contributes to their conservation, supposes a challenge with the need of a holistic approach. Buildings of the Modern Movement, many of which are registered as DOCOMOMO (DOcumentation and COnservation of buildings, sites and neighbourhoods of the MOdern Movement), are a particular case since many of them are not yet listed or are under unclear requirements. This paper explores the inclusion of a cost-effective methodology as part of the decision-making in the energy rehabilitation of these DOCOMOMO buildings, applying it to the case study of an office building located in the north of Spain. Different scenarios were studied balancing cost-effectiveness, energy efficiency and rehabilitation requirements. In this case study, the analysis may allow policymakers to have supportive arguments to subsidize certain elements (as e.g., steel frames), or allow the use of alternative options with similar aesthetic characteristics, but at a much lower cost. This second option will constitute the unique cost-effective scenario, with energy savings of between 25.36 % and 38.8 %. The inclusion of a cost-effective methodology as part of the mechanics for decision-making in the energy refurbishment of DOCOMOMO buildings permits the optimisation of the intervention guaranteeing their use and the conservation of heritage values.

PENINGKATAN KUALITAS HUNIAN PADA PERMUKIMAN PADAT DI RW 02, KELURAHAN KRENDANG, JAKARTA BARAT

The settlement in RW 02, Krendang sub-district, Tambora district, West Jakarta, is a dense and unorganized urban settlement resulting from an unplanned incremental growth process. Apart from poor environmental sanitation conditions, this settlement has a low quality of residential space with very limited natural lighting and ventilation due to the closeness of the buildings and the lack of open space. This settlement is the location for implementing a community service program which aims to help the West Jakarta government deal with the city's slum problem by involving community participation to improve the quality of residential space. The initial program in 2023 aims to open people's minds about the importance of healthy residential spaces, and to make this happen can be done using simple, low-cost methods. In the next stage, sustainable programs will be continued until a model of healthy, low-cost housing is realized in this settlement. A series of community service activities have been carried out with the culmination of counseling activities for social treatment to build collective insight and awareness among residents. The counseling took place at the community hall, attended by RW administrators as well as RT representatives and community leaders within RW 02. The counselor team used pictures of simulation designs for the renovation of multi-purpose buildings and pre-school children's education in RW 02 as counseling aids. Based on pre-test and post-test data through filling out questionnaires by participants, it shows a significant increase in collective awareness regarding the program objectives.

Exploring occupant behaviors and interactions in buildings with energy-efficient renovations: A hybrid virtual-physical experimental approach

Energy-efficient renovations significantly affect how people use buildings, and these occupant behaviors, in turn, influence the effectiveness of building renovations. Exploring interactions between occupants and renovations is essential for implementing building energy-efficient renovation. However, physical experiments for this purpose require extensive setups in the laboratory to observe occupant behaviors under various renovations. Immersive virtual environment (IVE) experiments as an emerging method still need to adequately incorporate thermal stimuli, essential for studying occupant behaviors, building renovations, and related interactions.Therefore, this study proposes a novel approach that integrates virtual and physical environments in experiments to explore occupant behaviors and their interactions with building renovations. The interactive and immersive capabilities of IVE experiments allow for effective simulation of various renovations and occupant behaviors. By incorporating thermal stimuli from physical experiments, this approach overcomes previous limitations in studying thermal-related occupant behaviors. In a field study, an office building looking for renovation is used to explore occupant behaviors and their interactions with building renovations. It is found that energy-efficient renovation impacts personal heater use and door opening behaviors, but not clothing behaviors; such changes in heater use subsequently impact the energy performance of building renovation. In further analysis, obvious correlations are revealed between personal heater use and renovation scenarios, thermal perception, and times of day. The proposed approach is validated as a novel method to engage the occupants in achieving occupant-centric building energy-efficient transitions.

Designing with building-integrated photovoltaics (BIPV): A pathway to decarbonize residential buildings

The ambitious targets set for greenhouse gas emissions and energy efficiency by 2050 demand a critical increase of building renovation rates. This challenge is shared by most Western nations, including Europe and Switzerland, where the current annual renovation rate stands at a mere 0.6 %. In this context, designing renovation strategies using building integrated photovoltaic (BIPV) components as a new building material is one of the most promising ways to achieve decarbonization of the building stock in an economical and environmentally efficient manner. To this end, building design teams are key, especially in promoting BIPV-based projects to their clients and taking this approach into account from the initial design phase where pivotal decisions with significant impact are made. This article illustrates the potential impact of specific choices in renovation processes on the overall building performance, considering a Life-Cycle Analysis/Cost (LCA/LCC) and multi-criteria analysis. It uses a 1970's residential building as case study, examining different refurbishment scenarios. Findings reveal that scenarios integrating BIPV can significantly enhance energy savings, achieving up to 122 % in energy efficiency gains, and can meet the 2050 targets for cumulative energy demand (CED) and global warming potential (GWP). Additionally, the most effective BIPV scenarios demonstrate economic viability with a payback period of 14–18 years and internal rates of return (IRR) between 5.3 % and 5.9 %. These results underscore the economic and environmental benefits of BIPV in building renovations and advocate for its broader adoption to achieve national and international climate goals.

Research on the yingzao chi restoration of palace buildings sans dougong in Ming and Qing Dynasties: a case study of Chongqing

As a unit of measurement for Chinese ancient construction, the yingzao chi (yingzaochi 营造尺) is of great significance to study long-term transformation of culture, construction skills, and the scale design rule of Chinese regional architectural heritage. But few scholars study the restoration method of the yingzao chi of palace buildings sans dougong (斗拱) in Chinese Ming and Qing Dynasties. Based on the yingzao chi theory, this paper studies and improves a theoretical method to help restore the yingzao chi of palace buildings sans dougong in Ming and Qing Dynasties. This method is not limited by the lack of reference of vernacular chi (xiangchi 乡尺) and can restore the yingzao chi of a single building through surveying data, and there is a smaller error in the calculation process. Three typical palace buildings without dougong in Ming and Qing Dynasties in Chongqing are selected as examples. The results show that the restored yingzao chi of these three buildings is highly similar, most likely 320.7–323.6 mm, which can verify the reliability of this method. This study can help to improve the research of yingzao chi and provide theoretical support for the protection of this kind of architectural heritage. Besides, the restoration of the yingzao chi provides a potential opportunity to explore how the technological and cultural of palace architecture spread, develop and blend.

New robust multi-criteria decision-making framework for thermal insulation of buildings under conflicting stakeholder interests

The choice of thermal insulation technology for existing building retrofit can be a complex multi-criteria decision-making (MCDM) problem characterized by multiple stakeholders with conflicting interests. The conflicting interests of the building owners and the policymakers could negatively influence the adoption of low-carbon energy retrofit measures by building possessors, slowing down the progress toward sustainable development. The investigation of this issue is, therefore, crucial to support more informed decisions and offer policymakers useful insights to develop future economic incentives for energy refurbishment of buildings. Most of the existing MCDM studies on the subject do not emphasize the differences among different stakeholders nor consider the outcomes' robustness. To overcome this gap, this paper integrates multi-stakeholder analyses and robustness assessments to provide broad-spectrum and reliable results. An innovative robust MCDM framework for building thermal insulation under conflicting stakeholder interests is proposed and tested on a real case study building (located in Southern Italy) using building dynamic energy simulation. Several alternatives of thermal insulation are evaluated under environmental, energy, and economic key performance indicators (KPIs). The Analytic Hierarchy Process is used to define criteria weights for conflicting decision-makers representing collectivity (policymakers) and private interests. TOPSIS, VIKOR, WASPAS, and MULTIMOORA methods are integrated to perform initial rankings of the alternatives. A rank similarity analysis is performed to evaluate the consensus between MCDM methods, and an ensemble ranking is obtained for each decision-maker using an approach based on the half-quadratic theory. A Confidence Index and a Trust Level are used to evaluate the agreement among the MCDM approaches, verifying the reliability of the final ensemble ranking. The robustness of the framework is attained by complying with well-established literature guidance. The hybrid MCDM analysis showed that porous materials like expanded clay and expanded perlite lead to better results under the KPIs investigated. The worst performances are attained by vacuum insulation panels and aerogel, mainly due to high values of embodied CO2 emissions and long payback periods. Insights upon the performance of different thermal insulating alternatives are also highlighted by the study and a stakeholder comparative analysis demonstrates that global rankings obtained for the different decision-makers show some similarities, but also important deviations, and a full compromise solution is not achieved.

Automated architectural spatial composition via multi-agent deep reinforcement learning for building renovation

This paper focuses on utilizing deep reinforcement learning technology to explore how to achieve automated architectural space composition under established built environment conditions to address the extensive demands of old building renovation. A reinforcement learning platform has been develop0065d, centered around the multi-agent deep deterministic policy gradient (MADDPG) algorithm. The paper leverages functional blocks as agents within Grasshopper to simulate existing architectural structures and their interactions, establishing a task-based reward system to guide the design process. Furthermore, data exchange between algorithmic and modeling software is facilitated through UDP communication. Training results using typical frame structure spaces indicate a significant increase in cumulative rewards around the 650,000th training step, effectively achieving the given design tasks. The paper demonstrates the potential of automated architectural space composition methods, based on deep reinforcement learning, to enhance design efficiency, optimize spatial arrangements, and promote human-machine collaborative design in building renovations.

Multi-objective optimization of rural residential envelopes in cold regions of China based on performance and economic efficiency

Building envelope renovation solutions are critical to building performance and post-renovation economics. Building renovation is easier to carry out if the impacts of building envelope renovation solutions on building performance and post-renovation economic efficiency can be foreseen and a more sustainable and efficient renovation design can be achieved. This paper explores the optimal design of building envelope renovation using genetic optimization algorithms and statistical analysis methods, taking the performance of the renovated building and the economic efficiency of the renovation solution as the starting points. In Qingdao, a cold region of China, a survey was carried out on typical rural areas in seven regions. The selected design variables include the external wall and roof insulation material type(TWall, TRoof), external wall and roof insulation thickness(δWall, δRoof), type of window construction(TWc), and area radio of the window to the wall(WWR). Minimization of total building energy consumption(E) and renovation cost(COSTRE) and after renovation maximization of the combined incremental cost-benefit ratio over a 20-year life cycle(CICBR20-year life-cycle), effective natural daylighting illuminance(UDI), and percentage of time spent in indoor comfort(PTC) were considered in the optimization of the envelope. The results show that in cold regions, different envelope renovation solutions affect the optimization objectives to different degrees; changing the south-facing window-to-wall ratio(S_WWR) has a bigger effect on E, PTC, and UDI; and choosing different TRoof has a bigger effect on COSTRE and CICBR20-year life-cycle. Renovation of the selected typical rural residence with the optimal solution results in an energy-saving rate(Re) of 53.08 %, an increase of 940.86 h/year in annual indoor comfort hours(HIC) and 377.00 h/year in annual effective natural lighting hours(HUDI).

Thermal Performance Optimization of Building Envelopes in a Low-Cost and Energy-Saving Rural Dwelling in Severe Cold Region—Taking Central Area of Liaoning as an Example

The thermal performance of rural building envelopes is mostly non-standardized in Northern China, resulting in significant heat loss. In this study, we take, as an example, the central area of Liaoning province, with the objective of proposing some low-cost and energy-efficient solutions. Through our investigations, we found that heating energy consumption was reduced by 20% and construction costs increased by less than CNY 8000 (USD 1108), which can be accepted by rural residents. In order to achieve this target, the NSGA-II algorithm integrated with Rhino + Grasshopper and EnergyPlus simulation kernel was used to establish a thermal performance optimization model for the heat transfer of rural building envelopes in this severe cold region. Among the above-calculated Pareto optimal solutions, the recommended thickness of insulation layers for room floors, roofs, and external walls was about 70 mm, 50 mm, and 40 mm, respectively. Furthermore, we tried to reduce the window-to-wall ratio as much as possible. Finally, based on both the lower building renovation cost and energy-saving rate, three technical solutions from which rural residents could select, according to their specific needs, are put forward.

Hygrothermal risk assessment tool for brick walls in a changing climate

Due to the heritage value of historical buildings, external facades can often not be modified. Therefore, in heritage buildings interior insulation is often considered when undergoing an energy renovation. However, interior retrofitting drastically changes the hygrothermal behaviour of a wall and can potentially cause moisture-related problems. Besides an interior retrofit, a changing climate might also trigger some of these damage mechanisms as parameters such as temperature and precipitation will change over time. Hygrothermal models can provide relevant insights into the risk of deterioration associated with these damage phenomena. However, these Heat, Air and Moisture (HAM) tools are commercially available but rarely used in the building industry to study deterioration risks. Translating research into practical tools and guidelines is a challenge across the whole field of building renovation. This paper aims to tackle that challenge, by means of creating a hygrothermal risk assessment tool based on 48,384 HAM-simulations for the climate of Brussels, Belgium. Seven different performance criteria are addressed and discussed: freeze-thaw damage, mould growth, wood rot, corrosion, moisture accumulation, salt efflorescence and bio-colonisation. Subsequent to a sensitivity analysis, the study further explains how these results can be translated into practice, providing building practitioners the most suitable insights and recommendations. The development of an interactive web tool to assess hygrothermal risks is demonstrated and its use and benefits are further elaborated.

BUILDING PERFORMANCE ANALYSIS OF CHILDCARE CENTERS IN KOREA FOR RETROFIT DESIGN: TYPOLOGY BASED STUDY ON ENERGY PERFORMANCE

ABSTRACT This study investigates different architectural types of Korean national childcare centers. The goal of this study is to provide a preliminary study of the energy retrofit of childcare centers. Given the growing concern over climate change, renovation and remodeling of current buildings for energy use improvement has become a major movement. Thus, today’s improvement in the building environment inevitably accompanies energy use improvement. An examination of 17 childcare centers in the Dongdaemon-gu district in Korea has been carried out. This includes the history of the buildings, construction information and energy use of the buildings. The cases are classified depending on their architecture type and have been analyzed with their energy use. Korea has embraced the influence of other countries with child care policies and types. The typology has been adapted to the Korean environment. This research is the preliminary study for green renovation of national childcare centers under a Korean context.

Energy consumption prediction and energy-saving suggestions of public buildings based on machine learning

Energy consumption prediction can help the government to formulate building energy consumption quotas and buildings energy consumption correlation analysis can provide a clear direction for buildings energy conservation and renovation. In the study, the energy consumption data of four types of public buildings in Guangxi in the four quarters of 2021 based on five machine learning models was trained and predicted. The energy consumption data was analyzed for correlation based on two methods of influencing factor correlation analysis. Finally, based on the prediction model and correlation analysis results, suggestions for energy conservation and renovation were given to eight buildings. The results showed that compared to other models, CNN had higher prediction accuracy, and the fitting regression index was generally above 0.95. The season had little impact on the characteristics correlation, but the building type had a significant impact. The electricity consumption had a high correlation with the energy consumption of all types of buildings. Through case analysis, it was concluded that some buildings did not need energy-saving renovation for the time being, while others require multiple phases of energy reduction over several quarters to meet the requirements.

Development and application of artificial hydraulic lime for Chinese architectural heritage restorations

Lime is commonly employed in the restoration of historic buildings due to its strength properties, which align well with the demands of architectural heritage conservation. However, recent shortages in high-quality limestone raw materials and the commercial inclusion of finely ground limestone powder in hydrated lime powder have led to significant challenges. These include low initial strength, pronounced shrinkage and cracking, and poor resistance to frost. Although natural hydraulic lime (NHL) offers moderate strength, its high cost presents an obstacle to widespread use in architectural heritage restoration. Three types of artificial hydraulic lime (AHL) — AHL1, AHL2, and AHL3 — were prepared with the objective of low cost and easy scalability. These were formulated by incorporating white cement (WC), blast furnace slag powder (BFSP), heavy calcium carbonate powder (HCCP), and industrial-grade white sugar (WS) into industrial-grade hydrated lime powder (IHLP). To align the setting time of the AHLs with the requirements of traditional builders, WS was incorporated as a retarding agent. The addition of WC, BFSP, and HCCP to IHLP resulted in enhancements over IHLP in several key aspects: compressive strength, pore structure post-hardening, dry shrinkage rate, and frost resistance. This approach will enhance the restoration quality of architectural heritage in China, leading to fewer repeated repairs and significant savings in manpower and material costs. Ultimately, AHL2 was applied in the restoration of the Confucius Temple, proving its efficacy and alignment with traditional construction requirements. This research provides valuable theoretical and practical insights for enhancing the preservation of architectural heritage.

Evaluating industrial heritage value using cloud theory and Dempster–Shafer theory

This study proposes a systematic approach to evaluate the value of industrial heritage under conditions of uncertainty. This approach primarily incorporates cloud theory and Dempster–Shafer theory (D–S theory), allowing managers to predict the direction of heritage renovation. Moreover, through this method, corresponding renovation measures and management methods can be formulated based on value levels and probabilities. The normal cloud distribution in cloud theory is more associated with people's judgment of things, while the subordinate cloud is employed to describe the basic probability distribution of factors at different value levels. The D–S theory has considerable advantages in terms of integrating information from multiple sources. This study uses the Shenyang Aircraft Factory as a case study to demonstrate the applicability and effectiveness of both theories. The results demonstrate that the combination of these two models can integrate knowledge and data, and the results of the value assessment model are in good agreement with the actual situation. In addition, this study provides a useful tool for dealing with uncertainty, randomness, and fuzziness in decision-making, making it easier for managers to develop appropriate building renovation plans.

Generating meteorological files of future climates with heatwaves in urban context to evaluate building overheating: An energy-efficient dwelling case study

Because of climate change, present-day buildings will be subject to more extreme conditions by the end of the century. Indoor overheating will increase in summer, resulting in severe thermal discomfort or significant cooling needs to avoid heat stress. Existing buildings therefore need to be adapted. However, current renovation strategies are generally aimed at reducing heating energy consumption. This study presents a methodology for assessing the impact of climate change during summer and heatwave periods on indoor overheating of an existing building within an urban context. The proposed methodology is applied to the case study of a French urban dwelling within an energy-efficient renovated building. The thermo-aeraulic dwelling model built on TRNSYS and CONTAM, as well as the urban heat island model implemented on UWG, are calibrated and validated thanks to a field measurement campaign of a multi-family building in Lyon during the summer of 2022. Results show that thermal discomfort will rise sharply by the end of the century, and could reach extreme levels in the worst emission scenario. Use of windows and solar protections allows to reduce the percentage of time over 28 °C from 40 % to 54 % depending on the future scenario. Ventilation by opening windows, which is the most commonly used cooling passive strategies, continue to be essential to reduce indoor overheating in high insulated building under future climates. However, its efficiency is very dependent of occupant behaviour.

Education, innovation and research in wooden architecture and construction in the Alps

The essay explores the importance of teaching and research in the building cultures of specific territories, with a particular focus on the use of wood in construction. Through interviews with experts from research centres and universities, such as Andreja Kutnar from InnoRenew CoE in Slovenia, Frédéric Pichelin from the Bern University of Applied Sciences in Switzerland, and Florian Court from the Haute École du Bois et de la Forêt association in France, the essay highlights how such institutions are promoting innovation and sustainable development in the wooden construction sector. Kutnar emphasises the importance of interdisciplinary and holistic research to develop renewable materials and improve the quality of the built environment. Pichelin discusses how innovation can emerge from the integration of new technologies and biobased materials, while Court addresses the challenge of industrialising wood production processes while preserving unique local characteristics. The essay also examines future challenges for wooden architecture in the Alps, such as climate change and the need for sustainable resources, highlighting projects like VETA/NOVA developed by the Bern University of Applied Sciences, which aims to develop guidelines for the restoration of historic wooden buildings. Finally, it discusses the possibility of translating global prerogatives into a local context, influencing the contemporary architectural identity of the Alps and its multidimensional impact on the territory.

Energy retrofitting of hospital buildings considering climate change: An approach integrating automated machine learning with NSGA-III for multi-objective optimization

In the context of sustainable development, energy-saving renovation of existing buildings can not only effectively reduce energy consumption but also improvement the residential comfort and office environments. This study proposes an optimization method for building energy-saving renovation based on automated machine learning and the NSGA-III algorithm, aiming at efficiently and accurately identifying the best energy-saving renovation schemes. The results showed that automated machine learning could provide a predictive model for multi-objective optimization analysis in a relatively short training time, with an average prediction accuracy of over 95%. And the Stacked Ensemble algorithm and Gradient Boosting Machine algorithm perform the best among all the algorithms considered in this study. Additionally, climate change significantly affects the energy-saving benefits and thermal comfort performance of renovation measures, thereby altering the choice of optimal schemes. The final renovation schemes obtained through the NSGA-III and entropy weight TOPSIS method can achieve an energy saving rate of 22.06% to 26.48% under typical climate scenarios, while also improving thermal comfort time by 31.87% to 43.73%. In future climate scenarios, an energy saving rate of 32.73% to 33.02% and a thermal comfort time of 40.20% to 42.29% can be achieved. Combining these two technologies can quickly and effectively find the best balance among energy consumption, whole life cycle cost, and thermal comfort time. The method proposed in this paper offers new perspectives and tools for researchers in the field of building energy conservation, demonstrating the application potential of automated machine learning and the NSGA-III algorithm in the energy-saving renovation of hospital buildings.

Enhancing Hydraulic Lime Mortar with Metakaolin: A Study on Improving Restoration Materials for Historic Buildings.

This study investigates the enhancement of hydraulic lime mortar (HLM) using varying contents of metakaolin (MK) to improve its application in the restoration of historic buildings. Samples from historic structures were analyzed, and the effects of different MK contents on the physical and mechanical properties of HLM were examined. The reaction mechanism and microstructural changes were evaluated using XRD and SEM analysis. The results indicated that increasing MK levels in HLM led to a decrease in fluidity, with fluidity reducing by 4.8% at 12% MK. The addition of MK increased water consumption for standard consistency by 5.4% and shortened the final setting time by 10.2%. MK consumption promoted secondary hydration, enhancing compressive strength by up to 98.1% and flexural strength by up to 55.1%, and increasing bonding strength by 26.9%. The density of HLM improved with MK addition, slightly reducing moisture content by 4.5% and water absorption by 4.6%, while the water vapor transmission properties decreased by 50.9%, indicating reduced porosity. The elastic modulus of the mortar increased significantly from 2.19 GPa to 7.88 GPa with the addition of MK, enhancing rigidity and crack resistance. The optimal blend for restoration materials was found to be 9.0% MK and 25.0% heavy calcium carbonate and was characterized by moderate mechanical strength, enhanced early strength, commendable permeability, minimal risk of cracking, and ease of application. This blend is highly suitable for the rehabilitation of historic structures.