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Adeyeye, K (2024) From product to service – strategies for upscaling smart home performance monitoring. Building Research & Information, 52(01–02), 107–28.

Al-Aomar, R, AlTal, M and Abel, J (2024) A data-driven predictive maintenance model for hospital HVAC system with machine learning. Building Research & Information, 52(01–02), 207–24.

Božiček, D, Almezeraani, Y and Košir, M (2024) Making sense of LCA results when evaluating multiple building designs – comparison of interpretation concepts. Building Research & Information, 52(01–02), 129–47.

  • Type: Journal Article
  • Keywords: Life cycle assessment; LCA results interpretation; Building sustainability; Building design; Environmental assessment; LCA interpretation concept;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2023.2236254
  • Abstract:
    Identifying environmental hotspots and comparing design options are the most common goals in building life cycle assessment (LCA). Our paper focuses on the latter by identifying and evaluating various concepts for interpreting LCA results that can be applied when comparing multiple design options. The term LCA interpretation concept is introduced. Eight approaches were analysed and classified into three groups; (i) raw LCA data, (ii) benchmarking and (iii) single score indicator interpretation concepts. Features and attributes for making sense of LCA data were defined and used to evaluate how the investigated LCA interpretation concepts support decision-making. Finally, the results were compared and evaluated whether the applied LCA interpretation concepts could influence the designer's perception of environmental superiority. The outcomes show substantial differences in the ability of LCA interpretation concepts to support the decision-making process. Benchmarking, weighting and normalization are essential to making environmental decisions when comparing multiple design options coupled with multiple environmental indicators. Otherwise, the risk of decision-making dilemmas due to data overflow is high. Our case study with 21 design options showed that the perception of environmental superiority and inferiority may be conditioned by the selection of the LCA interpretation concept.

Calcerano, F, Thravalou, S, Martinelli, L, Alexandrou, K, Artopoulos, G and Gigliarelli, E (2024) Energy and environmental improvement of built heritage: HBIM simulation-based approach applied to nine Mediterranean case-studies. Building Research & Information, 52(01–02), 225–47.

Ghansah, F A, Owusu-Manu, D, Edwards, D J, Thwala, W D, Yamoah Agyemang, D and Ababio, B K (2024) A framework for smart building technologies implementation in the Ghanaian construction industry: a PLS-SEM approach. Building Research & Information, 52(01–02), 148–63.

Kalla, M, Kalaycioglu, O, Hecht, R, Schneider, S and Schmidt, C (2024) Station biophilia – assessing the perception of greenery on railway platforms using a digital twin. Building Research & Information, 52(01–02), 164–80.

Kumari, P, Reddy, S R N and Yadav, R (2024) Indoor occupancy detection and counting system based on boosting algorithm using different sensor data. Building Research & Information, 52(01–02), 87–106.

Lai, H and Chiang, W (2024) Generative design of terraced concert hall – a case study of Taipei music and library centre. Building Research & Information, 52(01–02), 49–67.

Liang, H, Weng, Y, Tang, S W Y and Yeoh, J K W (2024) Automated filtering of façade defect images using a similarity method for enhanced inspection documentation. Building Research & Information, 52(01–02), 194–206.

Prieto, A J, Torres-González, M and Carpio, M (2024) Virtual web-based instruments in the evaluation of functional degradation of heritage timber buildings. Building Research & Information, 52(01–02), 181–93.

Saeidlou, S and Ghadiminia, N (2024) A construction cost estimation framework using DNN and validation unit. Building Research & Information, 52(01–02), 38–48.

Yıldız, B, Çağdaş, G and Zincir, I (2024) Architectural space classification considering topological and 3D visual spatial relations using machine learning techniques. Building Research & Information, 52(01–02), 68–86.

Yang, X, Zhong, H, Wang, Z, Du, P, Zhou, K, Zhou, H, Lai, X, Lau, Y L, Song, Y and Tang, L (2024) BEKG: A built environment knowledge graph. Building Research & Information, 52(01–02), 19–37.

Zhou, S ( (2024) Platforming for industrialized building: a comparative case study of digitally-enabled product platforms. Building Research & Information, 52(01–02), 4–18.