Sustainability assessment model for heritage buildings

Al-Sakkaf, Abobakr; Bagchi, Ashutosh; Zayed, Tarek; Mahmoud, Sherif

doi:10.1108/sasbe-03-2021-0049

Cited by 17 publications

(11 citation statements)

References 57 publications

(83 reference statements)

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“…Both methods were selected because of their wide acceptance and use in the field of heritage science [41][42][43][44], including applications in which they are coupled with expert elicitation [45,46]. The AHP method is particularly suitable to capture linguistic judgments as those requested from the experts and transform them into numbers [47], whilst TOPSIS has been argued to outperform other ranking methods due to its capacity for representing the rationale of human choice, accounting for best and worst alternatives simultaneously and ease of computation [48].…”

Section: Multi-expert Multi-criteria Decision Analysis (Me-mcda)mentioning

confidence: 99%

Multi-expert multi-criteria decision analysis model to support the conservation of paramount elements in industrial facilities

et al. 2022

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The coupling of urban retrofitting with climate change adaptation and environmental conservation is impacting on current industrial activities such as electricity production based on fossil fuels. Therefore, new tools are required to support adaptive reuse towards the conservation of industrial facilities, in order to leave testament of their cultural and industrial heritage once their production activities cease to exist. Multi-Criteria Decision Analysis (MCDA) can help analyse complex interactions between industrial elements, society, culture and nature, providing key benefits when approaching heritage investigations. In this context, this research concerned the design of a Multi-Expert MCDA (ME-MCDA) methodology to support the selection of paramount heritage elements in power plants based on the collection and processing of the views of a panel of experts to result in consensus groups. This approach was tested using a case study in the As Pontes power plant (NW Spain), which will be dismantled in a near future. The results achieved pointed out to cooling towers, boilers, chimney and turbine hall as the fundamental elements to preserve due to their relevance across a set of technical, historical and sociocultural criteria. These outcomes proved the usefulness of the proposed approach in favouring the valorisation of industrial facilities as heritage areas protecting the social and cultural history of a territory.

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Section: Multi-expert Multi-criteria Decision Analysis (Me-mcda)mentioning

confidence: 99%

Multi-expert multi-criteria decision analysis model to support the conservation of paramount elements in industrial facilities

et al. 2022

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“…It was built around 150 years ago. Murabba Palace is one of the most famous historic buildings in the Kingdom, with an area of 988,464 m 2 [30,31]. Figure 2 depicts plans such that according to these AutoCAD ® plans, the BIM model was generated based on the DesignBuilder ® platform, as shown in Figure 3.…”

Section: Case Study Descriptionmentioning

confidence: 99%

Studying Energy Performance and Thermal Comfort Conditions in Heritage Buildings: A Case Study of Murabba Palace

et al. 2021

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Heritage buildings are significant historical and architecture added value, which requires deep and precise preliminary brainstorming when considering upgrading or retrofitting these valuable buildings. In this study, we opted to highlight some passive design architecture interventions to improve the thermal comfort and the required cooling energy for buildings. The Murabba Palace in Riyadh was selected as a case study. DesignBuilder software was used to evaluate the energy performance of ten passive architectural design alternatives throughout different seasons in an attempt to improve the energy performance and thermal comfort of heritage buildings. The ten passive design scenarios encompassed double low-E glass, double reflected glass, double low-E glass and double wall with an air gap, double low-E glass and double wall with thermal insulation, double low-E glass and double wall with lightweight thermal insulation, double low-E glass and double wall with sprayed foam insulation, double reflected glass and double wall with an air gap, double reflected glass and double wall with thermal insulation, double reflected glass and double wall with lightweight thermal insulation, and double reflected glass and double wall with sprayed foam insulation. The results show that using double low-E glass and applying a double wall with polystyrene thermal insulation can enhance the thermal comfort inside the building and reduce the energy performance and CO2 emissions to 17% and 9%, respectively.

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“…To evaluate the environmental condition of a building space in term of its IEQ, factors and their various measurements should first be identified. Each factor is comprises some sub-criteria as shown in Figure 3, where the quality of this factor depends on the condition of its sub-criteria when compared to the corresponding codes and standards (Eweda, 2012;Al-Sakkaf et al, 2019). IAQ: Air quality is determined first by identifying air pollutants in a given space.…”

Section: Environmental Assessment Of Spacementioning

confidence: 99%

Condition assessment model of building indoor environment: a case study on educational buildings

Eweda

Al-Sakkaf

Zayed

et al. 2021

IJBPA

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PurposeThe purpose of this study is to develop a condition assessment (CA) model for a building's indoor 21 environments and to improve the building's asset management process.Design/methodology/approachThe methodology is based on dividing the building into spaces, which are the principal evaluated elements based on the building's indoor environmental quality (IEQ). An evaluation scheme was prepared for the identified factors and the analytical hierarchy process (AHP) technique was used to calculate the relative weight of each space inside the building as well as the contribution of each IEQ factors (IEQFs) in the overall environmental condition of each space inside the building. The multi-attribute utility theory (MAUT) was then applied to assess the environmental conditions of the building as a whole and its spaces. An educational building in Canada was evaluated using the developed model.FindingsEach space type was found to have its own IEQFs weights, which confirms the hypothesis that the importance and allocation of each IEQF are dependent on the function and tasks carried out in each space. A similar indoor environmental assessment score was calculated using the developed model and the building CA conducted by the facility management team; “89%” was calculated, using K-mean clustering, for the physical and environmental conditions.Originality/valueIEQ affects occupants' assessment of their quality of life (QOL). Despite the existence of IEQ evaluation models that correlate the building's IEQ and the occupants' perceived indoor assessments, some limitations have led to the necessity of developing a comprehensive model that integrates all factors and their sub-criteria in an assessment scheme that converts all the indoor environmental factors into objective metrics.

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Sustainability assessment model for heritage buildings

Cited by 17 publications

References 57 publications

Multi-expert multi-criteria decision analysis model to support the conservation of paramount elements in industrial facilities

Multi-expert multi-criteria decision analysis model to support the conservation of paramount elements in industrial facilities

Studying Energy Performance and Thermal Comfort Conditions in Heritage Buildings: A Case Study of Murabba Palace

Condition assessment model of building indoor environment: a case study on educational buildings

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