Lifetimes of Machinery and Equipment: Evidence From Dutch Manufacturing

Erumban, Abdul Azeez

doi:10.1111/j.1475-4991.2008.00272.x

Cited by 32 publications

(25 citation statements)

References 14 publications

(24 reference statements)

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“…7.5 tonnes) was considered for the equipment transportation and installation, while vans (b2.5 tonnes, light vehicles) were selected for the transportation of the chemicals and the personnel who support the maintenance of the MBR pilot unit. The average lifetime of these vehicles was assumed to be equal to 8.3 years, according to the study of Erumban (2008). • The construction data (i.e.…”

Section: Assumptions/hypothesesmentioning

confidence: 99%

The environmental footprint of a membrane bioreactor treatment process through Life Cycle Analysis

Ioannou‐Ttofa

Foteinis

Chatzisymeon

et al. 2016

Science of The Total Environment

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This study includes an environmental analysis of a membrane bioreactor (MBR), the objective being to quantitatively define the inventory of the resources consumed and estimate the emissions produced during its construction, operation and end-of-life deconstruction. The environmental analysis was done by the life cycle assessment (LCA) methodology, in order to establish with a broad perspective and in a rigorous and objective way the environmental footprint and the main environmental hotspots of the examined technology. Raw materials, equipment, transportation, energy use, as well as air- and waterborne emissions were quantified using as a functional unit, 1m(3) of urban wastewater. SimaPro 8.0.3.14 was used as the LCA analysis tool, and two impact assessment methods, i.e. IPCC 2013 version 1.00 and ReCiPe version 1.10, were employed. The main environmental hotspots of the MBR pilot unit were identified to be the following: (i) the energy demand, which is by far the most crucial parameter that affects the sustainability of the whole process, and (ii) the material of the membrane units. Overall, the MBR technology was found to be a sustainable solution for urban wastewater treatment, with the construction phase having a minimal environmental impact, compared to the operational phase. Moreover, several alternative scenarios and areas of potential improvement, such as the diversification of the electricity mix and the material of the membrane units, were examined, in order to minimize as much as possible the overall environmental footprint of this MBR system. It was shown that the energy mix can significantly affect the overall sustainability of the MBR pilot unit (i.e. up to 95% reduction of the total greenhouse gas emissions was achieved with the use of an environmentally friendly energy mix), and the contribution of the construction and operational phase to the overall environmental footprint of the system.

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Section: Assumptions/hypothesesmentioning

confidence: 99%

The environmental footprint of a membrane bioreactor treatment process through Life Cycle Analysis

Ioannou‐Ttofa

Foteinis

Chatzisymeon

et al. 2016

Science of The Total Environment

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“…This methodology was employed by Kato and Komatsu (1986), Choi and colleagues (1989), Yashiro and colleagues (1990), Hagishima and colleagues (2002), Oikawa and Urabe (2002), and Fujikawa and colleagues (2006) for estimating the lifespan distribution of buildings. This methodology was also employed for capital stock accounts (e.g., Erumban 2008).…”

Section: A Review Of Methodologies For Estimating Lifespan Distributionmentioning

confidence: 99%

Lifespan of Commodities, Part II

Oguchi

Murakami

Tasaki

et al. 2010

J of Industrial Ecology

112

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Summary Lifespan of commodities is essential information for material flow analysis and material stock accounting. Lifespan data is available in the literature; however, it varies in definition and in methodology employed. This article reviews and categorizes different types of lifespan distribution and distribution estimation methodologies, and investigates the relationship and differences between lifespan definitions and estimation methodologies. Lifespan distribution of commodities can be classified into five types from two perspectives: base year for which the distribution is drawn, and vertical axis of the distribution. The methodologies for estimating lifespan distribution were classified into four types and the details of each methodology and the relationship to the definition of lifespan were also clarified. This article also examines differences in actual lifespan data—between the types of distribution, the definitions, and the employed methodologies—by comparing reported data in literature. Any of the four methodologies are theoretically applicable and provide the same value of a lifespan; however unless accurate data such as census statistics are available, lifespan data can vary, and therefore we must be very cautious about the representativeness of sample data.

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“…In this process, the survival functions for many capital assets are estimated with disposal asset data; the results have been discussed by Nomura and Momose (2008). A study by Erumban (2008) had the same purpose; however, the number of goods covered in the study was relatively small.…”

Section: Other Durablesmentioning

confidence: 99%

“…International comparisons are also possible. According to Nomura and Momose (2008), the average service lifespan of machinery and equipment owned by Japanese businesses is 16.7 years, whereas Erumban (2008) estimated the average service lifespan of machinery and equipment in the Netherlands to be 26 years, which is significantly longer. Conversely, the two studies estimated the average service lifespan for transport equipment to be 12.9 and 6 years, respectively.…”

Section: Lifespan Data As An Indicator For Dematerializationmentioning

confidence: 99%

Lifespan of Commodities, Part I

Murakami

Oguchi

Tasaki

et al. 2010

J of Industrial Ecology

165

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Lifespan is an essential parameter for the accounting and analysis of material stocks and flows, one of the main research topics in industrial ecology. Lifespan is also important as a parameter that portrays the current and historical situation of industrial metabolism, which is an area of interest to industrial ecologists.In the present article, the available information from various reports on product lifespan was reviewed. Although we found a large number of data for many durables, the definition of lifespan in published articles varied, which limited our ability to compare reported values. We therefore first defined lifespan and then compared the international and historical data.We compiled more than 1,300 data sets from various sources and identified some differences among the types of goods and among regions. With the reviewed data noted in this article, we established a database, named LiVES (Lifespan Database for Vehicles, Equipment, and Structures), and will disclose it on the Internet to share the information.

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Lifetimes of Machinery and Equipment: Evidence From Dutch Manufacturing

Cited by 32 publications

References 14 publications

The environmental footprint of a membrane bioreactor treatment process through Life Cycle Analysis

The environmental footprint of a membrane bioreactor treatment process through Life Cycle Analysis

Lifespan of Commodities, Part II

Lifespan of Commodities, Part I

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