scholarly journals Optimization of CCUS Supply Chains for Some European Countries under the Uncertainty

Processes ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 960
Author(s):  
Grazia Leonzio ◽  
Pier Ugo Foscolo ◽  
Edwin Zondervan
Keyword(s):  
Carbon Dioxide ◽  
Stochastic Model ◽  
Supply Chains ◽  
Carbon Dioxide Emissions ◽  
Deterministic Model ◽  
Numerical Models ◽  
Production Costs ◽  
Mixed Integer ◽  
The Uk ◽  
And Storage

This paper develops a two-stage stochastic mixed integer linear programming model to optimize Carbon Capture, Utilization and Storage (CCUS) supply chains in Italy, Germany and the UK. Few works are present in the literature about this topic, thus this paper overcomes this limitation considering carbon supply chains producing different products. The objective of the numerical models is to minimize expected total costs, under the uncertainties of the production costs of carbon-dioxide-based compounds. Once carbon dioxide emissions that should be avoided are fixed, according to environmental protection requirements for each country, the optimal design of these supply chains is obtained finding the distribution of carbon dioxide captured between utilization and storage sections, the amount of different carbon-based products and the best connection between each element inside the system. The expected total costs for the CCUS supply chain of Italy, Germany and the UK are, respectively, 77.3, 98.0 and 1.05 billion€/year (1004, 613 and 164 €/ton CO2 captured). A comparison with the respective deterministic model, analyzed elsewhere, is considered through the evaluation of the Expected Value of Perfect Information (EVPI) and the Value of Stochastic Solution (VSS). The former is 1.29 billion€/year, 0.18 million€/year and 8.31 billion€/year, respectively, for the CCUS of Italy, the UK and Germany. VSS on the other hand is equal to 1.56 billion€/year, 0 €/year and 0.1 billion€/year, respectively, for the frameworks of Italy, the UK and Germany. The results show that the uncertain production cost in the stochastic model does not have a significant effect on the results; thus, in this case, there are few advantages in solving a stochastic model instead of the deterministic one.

scholarly journals Synthesis of Sustainable Carbon Negative Eco-Industrial Parks

2021 ◽  
Vol 9 ◽  
Author(s):  
Elizabeth J. Abraham ◽  
Farah Ramadan ◽  
Dhabia M. Al-Mohannadi
Keyword(s):  
Carbon Dioxide ◽  
Circular Economy ◽  
Carbon Dioxide Emissions ◽  
Carbon Capture ◽  
Carbon Dioxide Emission ◽  
Value Added ◽  
Mixed Integer ◽  
Industrial Parks ◽  
And Storage

Growing climate change concerns in recent years have led to an increased need for carbon dioxide emission reduction. This can be achieved by implementing the concept of circular economy, which promotes the practice of resource conservation, emission minimization, and the maintenance of sustainable revenue streams. A considerable amount of carbon dioxide emissions is a consequence of stationary sources from industrial processes. These emissions can be reduced using carbon capture utilization and storage (CCUS) or reduced at source by using emission free renewable resources. The method developed within this work uses mixed integer linear programming (MILP) to design sustainable clusters that convert seawater (including waste brine), air, and waste carbon dioxide emissions to value-added products with sunlight as the main energy source. In this way, circular economy is employed to minimize fresh resource consumption and maximize material reuse. The potential of this work is demonstrated through a case study, which shows that an industrial park may be profitable while adhering to strict emission and material constraints.

scholarly journals Modeling the Multicommodity Multimodal Routing Problem with Schedule-Based Services and Carbon Dioxide Emission Costs

2015 ◽  
Vol 2015 ◽  
pp. 1-21 ◽  
Author(s):  
Yan Sun ◽  
Maoxiang Lang
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Transportation Network ◽  
Linearization Method ◽  
Mixed Integer ◽  
Multicommodity Flow ◽  
Routing Problem ◽  
Multimodal Transportation ◽  
Proposed Model ◽  
Freight Routing

We explore a freight routing problem wherein the aim is to assign optimal routes to move commodities through a multimodal transportation network. This problem belongs to the operational level of service network planning. The following formulation characteristics will be comprehensively considered: (1) multicommodity flow routing; (2) a capacitated multimodal transportation network with schedule-based rail services and time-flexible road services; (3) carbon dioxide emissions consideration; and (4) a generalized costs optimum oriented to customer demands. The specific planning of freight routing is thus defined as a capacitated time-sensitive multicommodity multimodal generalized shortest path problem. To solve this problem systematically, we first establish a node-arc-based mixed integer nonlinear programming model that combines the above formulation characteristics in a comprehensive manner. Then, we develop a linearization method to transform the proposed model into a linear one. Finally, a computational experiment from the Chinese inland container export business is presented to demonstrate the feasibility of the model and linearization method. The computational results indicate that implementing the proposed model and linearization method in the mathematical programming software Lingo can effectively solve the large-scale practical multicommodity multimodal transportation routing problem.

Balancing the competing needs of climate change, biodiversity and rural communities

2009 ◽  
Vol 2009 ◽  
pp. 249-249
Author(s):  
H Prosser
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Land Use ◽  
Nitrous Oxide ◽  
Anaerobic Digestion ◽  
Rural Communities ◽  
Carbon Dioxide Emissions ◽  
Energy Use ◽  
New Technology ◽  
The Uk

The work of the UK Climate Change Commission (UKCCC) in recommending targets and options for reducing emissions of greenhouse gases is focusing attention on what agriculture and land use can contribute to deliver these targets. Although overall the major issue is the reduction of carbon dioxide emissions from energy use, agriculture and land use are significant emitters of methane and nitrous oxide. UKCCC has identified three main routes by which emissions can be reduced• Lifestyle change with less reliance on carbon intensive produce -eg switching from sheep, and beef to pig, poultry and vegetables.• Changing farm practices – eg to improve use of fertilisers and manures• Using new technology on farms – eg modifying rumen processes, anaerobic digestion.

Mathematical Programming for Modelling Green Supply Chains Under Randomness and Fuzziness

2017 ◽  
Vol 6 (1) ◽  
pp. 56-85
Author(s):  
Javad Nematian ◽  
Seyed Salar Ghotb
Keyword(s):  
Supply Chains ◽  
Deterministic Model ◽  
Negative Impact ◽  
Fuzzy Theory ◽  
Mixed Integer ◽  
Chance Constrained Programming ◽  
Proposed Model ◽  
Constrained Programming ◽  
Green Supply Chains ◽  
Fuzzy Random

Nowadays by growing concerns about environmental problems, businesses and industries are under pressure to decrease their negative impact on environment, consequently firms and industries have to reconsider about their activities and make their business compatible with environment. So industries should green their supply chains to optimize economic and environmental concerns, but because of uncertainty in the real world like inconsistency of world economy, the process of greening supply chains can be more complex. To optimize total costs and the unfavourable sides of supply chains simultaneously in an uncertain situation, this paper presents a multi-objective mixed integer programming with fuzzy random variables (FRVs) and by using fuzzy theory and fuzzy random chance-constrained programming (FRCCP), the proposed model is converted to deterministic model. This paper can be also suitable for decision making with optimistic, pessimistic and realistic notion. Finally, a numerical example is presented to illustrate the model.

scholarly journals Ocean acidification needs more publicity as part of a strategy to avoid a global decline in calcifier populations

2017 ◽  
Vol 98 (6) ◽  
pp. 1227-1229 ◽  
Author(s):  
Angus R. Westgarth-Smith
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Ocean Acidification ◽  
Carbon Dioxide Emissions ◽  
Carbonic Acid ◽  
Public Awareness ◽  
Public Information ◽  
Lifestyle Changes ◽  
Reduce Carbon Dioxide ◽  
The Uk

Ocean acidification (OA) is caused by increasing atmospheric concentrations of carbon dioxide, which dissolves in seawater to produce carbonic acid. This carbonic acid reduces the availability of dissolved aragonite needed for production of some invertebrate exoskeletons with potentially severe consequences for marine calcifier populations. There is a lack of public information on OA with less than 1% of press coverage on OA compared with climate change; OA is not included in UK GCSE and A Level specifications and textbooks; environmental campaigners are much less active in campaigning about OA compared with climate change. As a result of the lack of public awareness OA is rarely discussed in the UK Parliament. Much more public education about OA is needed so that people can respond to the urgent need for technological and lifestyle changes needed to massively reduce carbon dioxide emissions.

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