Life cycle assessment and life cycle costing of multistorey building: Attributional and consequential perspectives

Fauzi, Rizal Taufiq; Lavoie, Patrick; Tanguy, Audrey; Amor, Ben

doi:10.1016/j.buildenv.2021.107836

Cited by 26 publications

(13 citation statements)

References 47 publications

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“…Group (ii) articles span a broader definition where one center on a case analysis, though, indicating to be descriptive (attributional) [11]. [12,13] assess methodological aspects such as comparing ALCA and CLCA, EoL assumptions but also engage with an assessment of a case study. The studies of [14,15] consider similar scenarios aiming to test sensitivity of various modelling approaches.…”

Section: Intended Applicationsmentioning

confidence: 99%

“…One study found the most contributing phase to be the production stage for ALCA and use stage for CLCA [12]. Divergently, [11] identified the production stage as the most contributing using CLCA.…”

Section: Conclusion Of Using Clca On Wood Products In the Built Envir...mentioning

confidence: 99%

“…In general, increasing wood use in multi-storey buildings would lead to GHG-reduction benefits [20][21][22]. However, this increase in wood could raise steel consumption, thus, affecting negatively the GHG-reduction benefits [12].…”

Section: Conclusion Of Using Clca On Wood Products In the Built Envir...mentioning

confidence: 99%

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Wood as a carbon mitigating building material: A review of consequential LCA and biogenic carbon characteristics

Hansen

Rasmussen

Ryberg

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Buildings can potentially be carbon sinks by use of wood under correct circumstances because wood sequesters CO2 i.e., biogenic carbon, from the atmosphere by photosynthesis during growth. Consequential life cycle assessment (CLCA) works as a decision support tool to assess consequences from a change in demand by including only the processes that are affected by this demand through market-based modelling. This study aims to review current research about CLCA on wood in buildings. First, by examining methodological approaches linked to CLCA modelling and biogenic carbon accounting of wood in buildings. Second, to evaluate conclusions of studies using CLCA on wood in buildings. We conducted a literature review of 13 articles that fulfilled the criteria of stating to conduct a CLCA concerning either buildings, components, or materials where wood is one of the materials. The application of the reviewed studies include: method development, reuse, testing end of life aspects, CLCA inventory modelling, and comparison of ACLA and CLCA. The CLCA inventory of small-scale studies comprise a wide spectrum of methods ranging from simplistic to advanced methods, often retrospective. All large-scale studies integrate sophisticated modelling of prospective analysis. Dynamic time-dependent biogenic carbon accounting and indirect land use change (iLUC) are rarely represented. Although, both aspects have an impact on whether wood buildings respectively work as carbon sinks or provide net GHG emissions. Wood multi-storey buildings generally perform environmentally better than concrete and steel buildings due to wood displaces these materials and residues substitute fossil energy. End of life scenarios, choice of substituted production, retro- and prospective data, and the share of recycled steel further influence carbon mitigating potential of wood in buildings. Research of CLCA on wood in buildings are many-fold. Some studies partially evade inclusion of some CLCA aspects i.e., market delimitation, market trend, affected suppliers, and substitution. A simultaneously high integration of both CLCA, time-dependent biogenic carbon accounting, and iLUC in the same study is almost absent. Consequently, more empirical and methodological CLCA studies are needed while including dynamic time-dependent biogenic carbon accounting to improve understanding of implications of policy decisions in transitions towards increased use of wood in buildings.

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Section: Intended Applicationsmentioning

confidence: 99%

Section: Conclusion Of Using Clca On Wood Products In the Built Envir...mentioning

confidence: 99%

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Wood as a carbon mitigating building material: A review of consequential LCA and biogenic carbon characteristics

Hansen

Rasmussen

Ryberg

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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show abstract

“…Az LCC az életciklus-költségek rövidítése, és célja a termék teljes életciklus-költségének számszerűsítése. Az SLCA a Social Life Cycle Assessment (társadalmi életciklus-értékelés) rövidítése, amelynek célja a társadalmi hatások értékelése az életciklus során (Fauzi et al, 2021). A szakirodalom szerint az LCC több változatát különböztethetjük meg.…”

Section: Oldunclassified

Határ- és életciklusköltségek a közúti közlekedésben

Török¹,

Sipos²

2022

Közlekedés és Mobilitás

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Ebben a cikkben a szerzők a mikroökonómia elemzési eszközeivel vizsgálták a határköltség és az életciklusköltség közötti kapcsolatot. A szerzők összegyűjtötték a legrelevánsabb szakirodalmat, hogy szilárd összehasonlítási alapjuk legyen. Az előzetes eredményként megfogalmazható, hogy a határköltséget ki lehetett terjeszteni az életciklusköltségre. A kiterjesztést a matematika eszközeivel támasztották alá. A szerzők algebrai kapcsolatokat találtak a határköltség és az életciklusköltség-elmélet között. Ez a megállapítás fontos, mert segítségükkel az életciklusköltség könnyebben becsülhető.

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“…For electric power enterprises, the problem of predicting inventory of equipment without monitoring devices has a high practical value, and subsequent research efforts can add more influencing factors, such as product batches, idle time, and extreme weather conditions, but data on these influencing factors are currently unavailable. Under the many factors, we can reconstruct the prediction model and choose the remaining useful life (RUL) [31,32] of the equipment as the main influence variable while considering the life-cycle costing (LCC) [23,33] of the equipment to achieve a more accurate prediction of the equipment inventory, which is more conducive to the operation and maintenance of relay protection equipment, as well as reducing inventory expenditures.…”

Section: Conclusion and Prospectmentioning

confidence: 99%

Predicting Spare Parts Inventory of Hydropower Stations and Substations Based on Combined Model

Tang

Zhang

et al. 2022

Mathematical Problems in Engineering

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In this paper, a combined model is proposed to predict spare parts inventory in accordance with equipment characteristics and defect elimination records. Fourier series is employed to process the periodicity of the data, autoregressive moving average (ARMA) is used to deal with the linear autocorrelation of the data, and backpropagation (BP) neural network is used to settle the nonlinearity of the data. The prediction results, comparisons, and error analyses show that the combined model is accurate and meets the practical requirements. The combined model not only fully utilizes the information contained in the data but also provides a reasonable decision basis for the procurement of spare parts, making the inventory in a safe state and saving holding costs.

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Life cycle assessment and life cycle costing of multistorey building: Attributional and consequential perspectives

Cited by 26 publications

References 47 publications

Wood as a carbon mitigating building material: A review of consequential LCA and biogenic carbon characteristics

Wood as a carbon mitigating building material: A review of consequential LCA and biogenic carbon characteristics

Határ- és életciklusköltségek a közúti közlekedésben

Predicting Spare Parts Inventory of Hydropower Stations and Substations Based on Combined Model

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