Optimal Operational Strategies for CO2 Emission Reduction in Sustainable Energy Systems

Author(s):  
Pierluigi Mancarella ◽  
Gianfranco Chicco
2015 ◽  
Vol 137 (6) ◽  
Author(s):  
W. Li ◽  
S. X. Liu ◽  
Z. H. Fu ◽  
H. D. Shi ◽  
Y. L. Xie

In this study, a novel inexact two-stage stochastic robust-compensation programming (ITSP-RC) model is developed for CO2 emission reduction management under uncertainties. This model is attempted to integrate ITSP and stochastic RC programming into a general framework and apply the ITSP-RC for power management and CO2 emission reduction management, such that the developed model can tackle uncertainties described in terms of interval values and probability distributions over a two-stage context. Moreover, it can reflect dynamic and randomness of the energy systems during the planning horizon. The developed method has been applied to a case to solve CO2 emission management problem in electric supply environmental management. A number of scenarios corresponding to different adoption rate levels of carbon capture, utilization, and storage technology are examined. With the RC programming, regional energy systems would have a stable financial budget. The result suggests that the methodology is applicable for reflecting complexities of large-scale energy management systems and addressing CO2 emissions reduction issue with the planning period.


2021 ◽  
pp. 118-139
Author(s):  
Ilaria Delponte

Growing interest in the environmental impact has motivated the launch of the Covenant of Mayors', a voluntary agreement aimed at meeting the 20% EU CO2 emission reduction targets for 2020. Its key instrument is the Sustainable Energy Action Plan: this survey ex-amines the plans of 32 Italian small and very small municipalities in the Liguria, between the coastline and the countryside. The goal is to provide a comparative reading of the SEAPs and hypothesize some rationales about location and size.


Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.


2019 ◽  
Vol 151 ◽  
pp. 353-360 ◽  
Author(s):  
Fatma Outay ◽  
Faouzi Kamoun ◽  
Florent Kaisser ◽  
Doaa Alterri ◽  
Ansar Yasar

2021 ◽  
Vol 20 ◽  
pp. 103709
Author(s):  
Asif Mahmood ◽  
M. Rashid ◽  
Kanza Safder ◽  
M. Waqas Iqbal ◽  
N.A. Noor ◽  
...  

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