Bottom-up analysis of energy efficiency improvement and CO2 emission reduction potentials in the Swiss cement industry

Zuberi, M. Jibran S.; Patel, Martin Kumar

doi:10.1016/j.jclepro.2016.11.178

Cited by 73 publications

(31 citation statements)

References 9 publications

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“…Although the results for specific costs presented in Section refer to Switzerland, the given costs of EE measures can be adapted to other parts of the world by adjusting for the difference in purchase and labor costs and exchange rates. The study by Zuberi and Patel (2017) for the cement industry can serve as a good example for such an adaptation.…”

Section: Data Acquisition and Analysis Methodsmentioning

confidence: 99%

“…Natural gas, district heat, and light fuel oil prices are acquired from Prognos (2012), a study which was prepared specifically for Switzerland. The prices were adjusted for the industry sector in Switzerland following the approach suggested by the authors as previously described in Zuberi and Patel . Likewise, consumer electricity prices were also adapted.…”

Section: Data Acquisition and Analysis Methodsmentioning

confidence: 99%

“…74 Since burning alternative fuels can lead to extreme fluctuations in the amount of heat supplied to the manufacturing processes (eg, due to combustion of a batch of waste plastics), these control systems instantaneously optimize the fuel mix and ensure that the process does not get unstable due to changes in fuel calorific value. 15 As further refinement, predictive controls apply different algorithms and logics to envisage the future demand based on past performance of the system, eg, neural network control systems. 60 In addition, these systems are often equipped with monitoring devices (sensors) to reduce processing time and maintenance costs, to increase resource and energy efficiency, and to prevent damage to the equipment and production downtime.…”

Section: A25 | Process Control and Monitoringmentioning

confidence: 99%

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Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

Zuberi

Patel

2018

Int J Energy Res

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Summary Energy efficiency improvement is an effective way of reducing energy demand and CO2 emissions. Although the overall final energy savings potential in chemical industry has been estimated in a few countries, energy efficiency potentials by concrete measures applicable in the sector have been scarcely explored and their associated costs are hardly analyzed. In Switzerland, the production of chemicals and pharmaceuticals exceeds all other industrial sectors in terms of energy use and CO2 emissions, and it accounted for 22% of the total industry's overall final energy demand and 25% of the CO2 emissions related to non‐renewable energy sources in 2016. In this study, the economic potentials for energy efficiency improvement and CO2 emissions reduction in the Swiss chemical and pharmaceutical industry are investigated in the form of energy efficiency cost curves. The economic potential for final energy savings and CO2 abatement based on energy‐relevant investments is estimated at 15% and 22% of the sector's final energy use and fossil fuel‐related CO2 emissions in 2016, respectively. Measures related to process heat integration are expected to play a key role for final energy savings. The economic electricity savings potential by improving motor systems is estimated at 15% of the electricity demand by these systems in 2016. The size of economic potential of energy efficiency improvement across the sector decreases from 15% to 11% for 0.5 times lower final energy prices while the size increases insignificantly for 1.5 times higher final energy prices. The additional power generation potential based on Combined Heat and Power plants is estimated at 14 MW for 2016. This study is a contribution to the so far limited international literature on economic energy efficiency measures applicable in this heterogeneous sector and can support policy development. The results for specific costs of energy efficiency measures can also be adapted to other parts of the world by making suitable adjustments which in return may provide useful insights for decision makers to invest in economically viable clean energy solutions.

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Section: Data Acquisition and Analysis Methodsmentioning

confidence: 99%

Section: Data Acquisition and Analysis Methodsmentioning

confidence: 99%

Section: A25 | Process Control and Monitoringmentioning

confidence: 99%

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Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

Zuberi

Patel

2018

Int J Energy Res

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“…the cement industry (Hasanbeigi et al, 2010;Morrow et al, 2014;Worrell et al, 2000), the pulp and paper industry (Fleiter et al, 2012a), and the iron and steel industry (Brunke and Blesl, 2014;Li and Zhu, 2014;Worrell et al, 2003). Similar curves have also been calculated as energy efficiency cost curves (Bhadbhade et al, 2019;Zuberi and Patel, 2017).…”

Section: Conservation Supply Curvesmentioning

confidence: 96%

Enabling industrial energy benchmarking : Process-level energy end-use, key performance indicators, and efficiency potential

Andersson

2020

Linköping Studies in Science and Technology. Dissertations

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One of the greatest challenges of our time is global climate change. A key strategy for mitigating the emission of greenhouse gases is the improvement of energy efficiency. Manufacturing industry stands for a large share of global energy end-use but has yet to achieve its full energy efficiency potential. A barrier to untapping this potential is the lack of detailed data on industrial energy end-use at the process level, preventing the development of sound, bottom-up energy key performance indicators (KPIs). This hampers the ability to create a profound strategy for improving industrial energy efficiency because it is not known in which end-use processes the largest energy efficiency potential is to be found. Increasing knowledge about energy end-use at the process level also increases the possibility for energy comparisons, i.e. benchmarking, at the process level. This thesis aimed to investigate how to further enable industrial energy benchmarking at the process level, primarily for the pulp and paper and wood industries. Relevant benchmarking requires that data on energy end-use is collected using a common, harmonized categorization of processes and that joint energy KPIs are applied. Therefore, suggestions for standardized categorizations of end-use processes were investigated for the studied industries. Based on the calculations, and under the assumptions made in this thesis for estimating the energy efficiency potential of end-use processes, diversity was found between industries around which type of processes have the largest efficiency potential. It also emerged that, due to the lack of detailed data about energy end-use and lack of information about energy efficiency measures, processes accounting for a significant share of the energy efficiency potential in the wood industry risk being overlooked. It is not certain that current energy policies are sufficient to reach the full potential identified. The lack of information about energy end-use and energy efficiency measures implies that neither industrial actors nor policy-makers are able to develop thorough energy strategies or roadmaps for improved energy efficiency. While the outcomes of this thesis show that a large share of Swedish pulp and paper mills carry out energy benchmarking to some degree, energy managers emphasized that benchmarking in this particular industry is difficult because it requires a deep understanding of the industry's heterogenous and integrated processes. This thesis proposes a widened perspective on energy benchmarking and its role in industrial energy management; namely, also considering the process of how energy KPIs are implemented within in-house energy management. A process that enhances energy management includes the continuous monitoring, visualization, and revision of KPIs. In this thesis, a method is developed that encourages the bottom-up implementation of energy KPIs in the pulp and paper industry, which further enables industrial energy benchmarking.

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“…Approximately 60% (Dean et al, 2011) of CO 2 emissions from cement production arise from the calcination of limestone (CaCO 3 ) to form CaO (the main precursor for cement production), with the remaining emissions from the process of fuel utilization for heating the kiln and effecting the clinkering reactions (Bui et al, 2018). In Energyscope, the indirect emission of cement manufacturing associated with heat supply is reckoned in industry heat demand, while the direct emission that amounts to 1.62 Mt CO 2 per year (Zuberi and Patel, 2017) is counted separately with the hypothesis of a uniform distribution over all periods.…”

Section: Carbon Sourcesmentioning

confidence: 99%

Decarbonization in Complex Energy Systems: A Study on the Feasibility of Carbon Neutrality for Switzerland in 2050

Damartzis

Stadler

et al. 2020

Front. Energy Res.

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Decarbonization gained prominence with the witnessed rise of temperature over recent years, particularly in the aftermath of the adoption of the Paris agreement for limiting the temperature increase within 2°C until 2050. Biogenic resources are explicitly indicated as carbon-neutral from Life Cycle Assessment perspective by the IPCC, shedding light on the carbon-neutral society by applying Biogenic Energy Carbon Capture for creating negative emissions. This article proposes a novel modeling approach by introducing carbon layers with specification on the principal carbon sources and sinks based upon an optimization algorithm, in order to solve the carbon loop issue in a highly interconnected energy system due to increasing penetration of biomass and carbon capture, use, and storage. This study contributes to quantifying biogenic and nonbiogenic carbon footprints, and optimizing the circular economy associated with a net-zero-emission society, in favor of policy-making for sustainable development in long terms.

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Bottom-up analysis of energy efficiency improvement and CO2 emission reduction potentials in the Swiss cement industry

Cited by 73 publications

References 9 publications

Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

Cost‐effectiveness analysis of energy efficiency measures in the Swiss chemical and pharmaceutical industry

Enabling industrial energy benchmarking : Process-level energy end-use, key performance indicators, and efficiency potential

Decarbonization in Complex Energy Systems: A Study on the Feasibility of Carbon Neutrality for Switzerland in 2050

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