Energy efficiency at the paper mill—dilemma of improvement

Hämäläinen, Esa; Hilmola, Olli‐Pekka

doi:10.1007/s12053-016-9490-3

Cited by 15 publications

(11 citation statements)

References 30 publications

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“…In this respect, it is evident that the wood resource-based energy efficiency measure (Model 7) is consistent and most useful in operations research analysis with 100% renewable wood (Figure 1). This is novel knowledge compared to previous studies [28,29,52,54]. However, more comprehensive logistics data analysis is needed about an adaptation process to solve, for example, backhauling alternatives with several clients for more comprehensive supply-network analysis [10].…”

Section: Discussion and Future Researchmentioning

confidence: 94%

“…Here, utilization of renewable wood biomass occurs through a dynamic supply network with hundreds of mills, e.g., by balancing carbon via transportation operation (activities) through the utilization of energy-efficiency measures in multi-objective operations research [11]. This requires closer external collaboration across logistics companies and firms, an information process which should be made more efficient in the country's dynamic industrial ecosystems [25][26][27][28][29]. Correspondingly, the forest industry optimizes energy-, information-, monetary-, and woodflows of the ecosystem model and advances the green circular economy through the development of carbon-neutral production and energy efficient logistics operations [11,30].…”

Section: Decarbonizing Technologies Of Transportation In Green Circulmentioning

confidence: 99%

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Comparison of Energy Efficiency Indicators of Road Transportation for Modeling Environmental Sustainability in “Green” Circular Industry

et al. 2020

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The Finnish forest industry is committed to applying novel technologies for increasing carbon-neutral development and environmental sustainability in “green” circular industry. This study compares the energy efficiency indicators of road freight transportation. Additionally, effects of four mass limits of vehicle combinations are analyzed after a three-year adaptation process that took place in a wood procurement region of 100% renewable resources. The wood-based energy efficiency model (load’s wood energy/fossil transport energy) was the most accurate and precise measure as the development indicator. The indicator showed that the transportation systems (60, 64, 68, and 76 t) and (64, 68, and 76 t) were carbon negative (122, 133, 144, and 108) (142, 147, and 133) in 2014 and 2016, respectively. The numbers reveal positive energy ratio of renewable wood and fossil fuels. In comparison to 60 t, the use of 68 t vehicles increased energy efficiency most effectively in the systems, by 18.0% and 20.5%, respectively. The indicator robustly revealed the energy efficiency of a partial system in the smaller supply region, which depended on the region’s transportation conditions. This novel knowledge can be applied for advancing the adaptation toward carbon-neutral supply networks. There is also the development potential of an industrial ecosystem model for optimizing the environmental sustainability of “green” circular industry.

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Section: Discussion and Future Researchmentioning

confidence: 94%

Section: Decarbonizing Technologies Of Transportation In Green Circulmentioning

confidence: 99%

Comparison of Energy Efficiency Indicators of Road Transportation for Modeling Environmental Sustainability in “Green” Circular Industry

et al. 2020

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“…By contrast, in the pulp and paper industry, there have been plenty of such efficiency studies for a long time, among others the international large scale-modelling [33], the large scale models in Spain [34], Sweden [35,36], in Germany [37], in Brazil [38], in USA [39], and in China [40]. Furthermore, the small-scale energy-efficiency models are used in Scandinavia [41][42][43]. These studies have developed energy-efficiency calculations methods, which can be developed for energy-efficiency assessments of timber transportation in wood procurement organizations.…”

Section: Introductionmentioning

confidence: 99%

Improving Energy Efficiency in a Synchronized Road-Transportation System by Using a TFMC (Transportation Fleet-Management Control) in Finland

Palander

Kärhä

2019

Energies

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Previous studies have suggested that the use of high-capacity transportation (HCT) can lead to low-carbon road-transportation in the forest industry. This study shows the impacts (in terms of energy efficiency) of a three-year adaptation process of transportation (2014–2016) towards HCT that took place in a synchronized transportation system (STS). The use of three transportation fleet-management control (TFMC) methods was analyzed in various road infrastructures. Energy-efficiency calculations were undertaken based on the HCT vehicles’ mass limits (64, 68 and 76 t). The use of 76 t vehicles increased energy efficiency by 13.4% and reduced CO2 emissions by 3.5% (to 49.6 g/tkm). In addition, the results show that the energy efficiency of the STS could be improved by a further 3.1%. In this respect, the proposed TFMC was used to adjust the STS towards vehicle-group transportation while meeting the road-class constraints of local wood supply chains. Forest-industry companies in Finland and abroad can use the tailored TFMC to optimize the STS in the near future and to achieve the energy-efficient STS and the regulations of the European Commission in wood-procurement logistics.

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“…In the forestry sector, energy-efficiency research has been conducted, especially in the pulp and paper industries (e.g., Farla et al 1997;de Beer et al 1998;Martin et al 2000;Kilponen et al 2001;del Río González 2005;Joelsson and Gustavsson 2008;Thollander and Ottosson 2008;Fleiter et al 2012;Fracaro at al. 2012;Peng et al 2015;Hämäläinen and Hilmola 2017;Koreneff at al. 2019).…”

Section: Energy Efficiencymentioning

confidence: 99%

Improving the energy efficiency of wood harvesting in Finland

Haavikko¹

2023

Diss. For.

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To address the issue of climate change, the EU’s climate and energy framework has set targets to improve energy efficiency. Reducing greenhouse gas (GHG) emissions requires higher energy efficiency in the wood supply of forest industries. The aim of the study was to clarify the energy-efficiency baseline for wood-harvesting operations, define useful measures and follow up the total fuel consumption and resulting emissions. The results indicated that wood-harvesting entrepreneurs have a positive attitude towards energy efficiency. The fuel consumption of wood-harvesting machines was the lowest for the final fellings, while in first thinnings, the consumption was highest per cubic metre harvested. The average cubic metre-based fuel consumption and GHG emissions in respect of wood harvesting were more than double in the first thinning compared to the final felling. Better allocation of harvesting machines could reduce fuel consumption and GHG emissions while improving work efficiency. Hour-based fuel consumption is most affected by machines’ engine power and wood-harvesting conditions of forest stands. Fuel consumption per cut cubic metre is affected by wood-harvesting conditions and machine units. The calculated energy efficiency was highest in final fellings. A more significant factor than fuel consumption (input) is the amount of harvested wood (output) in the energy-efficiency equation. Energy efficiency can also be improved by operator education. Trucks which are used for harvesting-machine relocation have a significant impact on wood-harvesting operations' total fuel consumption and emissions. It is therefore essential to minimise the number of relocations and operational and resource planning should be developed. In the future, the examination of fuel consumption and GHG emissions should be extended to the entire wood-harvesting chain, including long-distance transportation and timber trade, and for example the effect of operator should be investigated in more detail.

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Energy efficiency at the paper mill—dilemma of improvement

Cited by 15 publications

References 30 publications

Comparison of Energy Efficiency Indicators of Road Transportation for Modeling Environmental Sustainability in “Green” Circular Industry

Comparison of Energy Efficiency Indicators of Road Transportation for Modeling Environmental Sustainability in “Green” Circular Industry

Improving Energy Efficiency in a Synchronized Road-Transportation System by Using a TFMC (Transportation Fleet-Management Control) in Finland

Improving the energy efficiency of wood harvesting in Finland

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