Energy flow analysis in pulp and paper industry

Hong, Gui Bing; Ma, Chih‐Ming; Chen, Hua Wei; Chuang, Kai Jen; Chang, Chang Tang; Su, Te Li

doi:10.1016/j.energy.2011.02.051

Cited by 44 publications

(31 citation statements)

References 41 publications

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“…From a firm's perspective, most of the technologies tested were found to be cost-effective, whereas the technologies for heat recovery and paper drying were the most influential technologies in paper mills. Also, Hong et al [17] identified and evaluated areas with energy-saving potential in the PPI in Taiwan by analysing energy flows, and examined the potential technology options for capturing some of the energy currently lost in these processes and presented a list of energy-saving opportunities. The study results showed that 7.4% of annual energy use could potentially be saved, in which the greatest energy saving could be achieved by improving energy distribution and equipment efficiency.…”

Section: Implementation Of Energy Efficiency Via Technologymentioning

confidence: 99%

“…The study results showed that 7.4% of annual energy use could potentially be saved, in which the greatest energy saving could be achieved by improving energy distribution and equipment efficiency. Together, these potentially constituted 86.8% of total energy conservation in the PPI in Taiwan [17].…”

Section: Implementation Of Energy Efficiency Via Technologymentioning

confidence: 99%

“…A model, called the "energy footprint" for analysing flows such as energy demand, supply and losses based on data gathered via questionnaires from Taiwan's PPI was used to identify, evaluate, and list areas with energy-saving potential [17]. The study results showed that the greatest energy saving could be achieved by improving not only equipment efficiency but also energy distribution, which together could be attributed for 86.8% of total energy savings in Taiwan's PPI.…”

Section: Evaluation Of Energy Use Under Various "What-if" Scenariosmentioning

confidence: 99%

“…There have also been two studies aiming to be used as a benchmark and for encouraging improvements in EE in PPI ( [17,81]). Both studies identified areas with energy-saving potential, consequently presenting the technology options for capturing some of the wasted energy after analysing the energy flows of Taiwan's PPI ( [17,81]).…”

Section: Benchmarkingmentioning

confidence: 99%

“…Both studies identified areas with energy-saving potential, consequently presenting the technology options for capturing some of the wasted energy after analysing the energy flows of Taiwan's PPI ( [17,81]). The results showed that improvements in energy-efficiency of equipment and energy distribution together could cover 86.8% of total potential energy savings [17].…”

Section: Benchmarkingmentioning

confidence: 99%

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Drivers, Barriers, and Success Factors for Improving Energy Management in the Pulp and Paper Industry

2018

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Successful energy management is a way to achieve energy efficiency in the pulp and paper industry (PPI), which is important for assuring energy supply security, for increasing economic competitiveness, and for mitigating greenhouse gases. However, research shows that although energy use within PPI can be reduced by 5.5-19.4% per year, some of this by energy management practices, energy management is not always implemented. Why is this so? What are the barriers to, and drivers of implementation? How can the barriers be overcome? A systematic review of barriers and drivers in energy management in the PPI within peer-reviewed scientific articles suggests that the world-wide events that affect energy supply, volatility, and use seemingly also affect the number and frequency of research articles on energy management in the PPI. The perception of energy management in the PPI seems to be dominated by the understanding that it can mostly be achieved through technological improvements aiming to improve energy efficiency. The main driver of energy management was shown to be economic conditions: high and unstable energy prices, followed by drivers such as the need to remain internationally competitive, collaboration and energy management systems. Meanwhile, examples of the most important barriers are technical risks, lack of access to capital, lack of time and other priorities, and slim organization. The success factors for enhancing drivers and overcoming barriers were continuous energy accounting, energy-related collaboration, energy-efficiency programmes, and benchmarking. Altogether, success factors for energy management for improved energy efficiency could be summarized in the 4M framework-the "4M for energy efficiency": mind, measure, monitor, and manage-that could be used as the energy management memory-tool that could lead to improved energy efficiency in other sectors as well.

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Section: Implementation Of Energy Efficiency Via Technologymentioning

confidence: 99%

Section: Implementation Of Energy Efficiency Via Technologymentioning

confidence: 99%

Section: Evaluation Of Energy Use Under Various "What-if" Scenariosmentioning

confidence: 99%

Section: Benchmarkingmentioning

confidence: 99%

Section: Benchmarkingmentioning

confidence: 99%

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Drivers, Barriers, and Success Factors for Improving Energy Management in the Pulp and Paper Industry

2018

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Exergy analysis of energy‐intensive production processes: advancing towards a sustainable chemical industry

Luis

Bruggen

2014

J of Chemical Tech & Biotech

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Exergy analysis is becoming a very powerful strategy to evaluate the real efficiency of a process. Its application in the chemical industry is still at an early stage but many interesting remarks can be obtained from the recent research in the most energy intensive processes of the chemical industry: the production of chemicals, the cement industry, the paper industry and, the iron and steel industry. The present review analyzes the opportunities and challenges in those sectors by considering exergy analyses as the first required step (although not sufficient) to advance towards a more sustainable chemical industry. Social, environmental and economic factors play a role in the critical evaluation of a process and exergy could be considered as the property that joins together those three cores of sustainability.

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An Intelligent Prediction of Self-produced Energy

Altay

Turkoglu

2015

Sustainable Future Energy Technology and Supply Chains

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The need for energy has been aggressively increasing since the industrial revolution. An exponential growth of industrial and residential power use is encountered with the technological revolution. Cogenerated and self produced energy is a solution that allows the reuse of heat produced, decreases transmission investments, and reduces carbon emissions and decreases dependency on energy resource owners. The mass production sites, health centers, big residential sites and more can use the system. In this chapter, the focus is given to industrial autoproducers. Power market balance is based on the day-ahead declarations; therefore, the production is to be planned in detail to avoid penalties. A recurrent Artificial Neural Network model is constructed in order to predict the day ahead energy supply. The model considers energy resource price, demand from multiple sites, production cost, the amount of energy imported from the grid and the amount of energy exported to the grid. In order to achieve the energy production rate with the least error rate possible, an energy demand forecasting model is constructed for a paper producing company, using a Nonlinear Autoregressive Exogenous Model (NARX) network implemented in Matlab. Three parameters of the forecasting model are tuned using the Particle Swarm Optimization (PSO) algorithm: the number of layers, the number of nodes in hidden layers and the number of delays in the network. Error level is measured using the Minimum Absolute Percentage Error between the predictions and the actual output. Results indicate that NARX is an appropriate tool for forecasting energy demand and the algorithm yields better results when the system parameters are tuned.

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Energy flow analysis in pulp and paper industry

Cited by 44 publications

References 41 publications

Drivers, Barriers, and Success Factors for Improving Energy Management in the Pulp and Paper Industry

Drivers, Barriers, and Success Factors for Improving Energy Management in the Pulp and Paper Industry

Exergy analysis of energy‐intensive production processes: advancing towards a sustainable chemical industry

An Intelligent Prediction of Self-produced Energy

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