CO2 Highways for Europe: Modelling a Carbon Capture, Transport and Storage Infrastructure for Europe. CEPS Working Document No. 340/November 2010

This paper presents a mixed integer, multi-period, cost-minimising model for a carbon capture, transport and storage (CCTS) network in Europe. The model incorporates endogenous decisions about carbon capture, pipeline and storage investments. The capture, flow and injection quantities are based on given costs, certificate prices, storage capacities and point source emissions. The results indicate that CCTS can theoretically contribute to the decarbonisation of Europe’s energy and industrial sectors. This requires a CO2 certificate price rising to €55 per tCO2 in 2050, and sufficient CO2 storage capacity available for both on- and offshore sites. Yet CCTS deployment is highest in CO2-intensive industries where emissions cannot be avoided by fuel switching or alternative production processes. In all scenarios, the importance of the industrial sector as a first-mover to induce the deployment of CCTS is highlighted. By contrast, a decrease in available storage capacity or a more moderate increase in CO2 prices will significantly reduce the role of CCTS as a CO2 mitigation technology, especially in the energy sector. Furthermore, continued public resistance to onshore CO2 storage can only be overcome by constructing expensive offshore storage. Under this restriction, reaching the same levels of CCTS penetration would require a doubling of CO2 certificate prices

Carbon content in different seagrass species in Andaman Coast of Thailand

Seagrass meadows have one of the highest carbon sequestration and storage capacities than any other ecosystems. Carbon that is stored in the ecosystem is accumulated in the deposited sediment as well as in the living, above and below ground biomass, with a different rate of carbon sequestration and storage between the species. The objective of this research was to investigate carbon storage in the living plants and in the sediment among species of different size in tropical waters. The samples were collected from Phuket province, Thailand, in the high density monospecific patches of different size species (Enhalus acoroides as a big, Thalassia hemprhicii as a medium and Halophila ovalis as a small size species). Total carbon and carbon stored in above and below ground, was significantly different between the species (p<0.05), with the highest values in below ground parts of E. acoroides and T. hemprichii 238.10±85.07 and 134±21.55 g Dw m-2, respectively. Average organic carbon in the sediment was significantly different (p<0.05) as well, with E. acoroides having highest organic carbon content in the deeper layers of the sediment 1.14±0.25 % Corg, while the other two species had higher organic carbon in the top and medium layers of sediment. The results of this preliminary research propose that big size species have higher carbon content than smaller species, which reflects in higher sequestration rates of carbon from the ocean, thus reducing the ocean carbon budget. Moreover, it provides necessary information on size of the species which is the key for the future carbon storage studies in the region

CO2 Highways for Europe: Modeling a Carbon Capture, Transport and Storage Infrastructure for Europe

We present a mixed integer, multi-period, cost-minimizing carbon capture, transport and storage (CCTS) network model for Europe. The model incorporates endogenous decisions about carbon capture, pipeline and storage investments; capture, flow and injection quantities based on given costs, certificate prices, storage capacities and point source emissions.The results indicate that CCTS can theoretically contribute to the decarbonization of Europe's energy and industry sectors. This requires a CO2 certificate price rising to 55 EUR in 2050, and sufficient CO2 storage capacity available for both on and offshore sites. However, CCTS deployment is highest in CO2-intensive industries where emissions cannot be avoided byfuel switching or alternative production processes. In all scenarios, the importance of the industrial sector as a first mover to induce the deployment of CCTS is highlighted. By contrast, a decrease of available storage capacity or a more moderate increase in CO2 prices will significantly reduce the role of CCTS as a CO2 mitigation technology, especially in the energy sector. Continued public resistance to onshore CO2 storage can only be overcome by constructing expensive offshore storage. Under this restriction, to reach the same levels of CCTS penetration will require doubling of CO2 certificate prices.carbon capture and storage, pipeline, infrastructure, optimization

Evaluating Ecological Sustainability For The Planning and Operations Of Storage Technologies

With an expected future increase of costs for carbon emissions the logistics industry is targeting to design sustainable warehouses to reduce their carbon footprints. To do so, it is required that every aspect of a warehouse from its general design to the transport processes and technologies must be assessed in terms of its carbon footprint. In this article the carbon footprint, which can be traced back to the storage technology employed within a storage area is analysed. The approach includes surface, material, and technology-related data to calculate the carbon footprint of a logistics concept. Firstly, different dimensions of storage technology carbon footprints are identified. A comprehen-sive model is provided to calculate the carbon footprint of alternative storage technologies in a warehouse. The model is applied in a case study with actual data from a warehouse planning project in the German production industry comparing three alternative storage technologies for a small part storage solution. The author's find highest carbon footprint in the application of an autonomous guided vehicle shelving system compared to automatic storage and retrieval system and manual storage solution using Kanban racks

Methods for the spatial modeling of forest carbon in the Northern Forest

The ability to accurately assess forest carbon storage is critical to understanding global carbon cycles and the effects of changes in land cover on ecological processes. However, existing methods for calculating carbon storage do not explicitly account for differences in carbon stored by different species of trees. Those methods that do reflect some of this variability, such as remotely-sensing canopy structure to estimate biomass, can be resource-intensive and difficult to reproduce over past or future time steps in order to assess change. I examined the accuracy of several carbon mapping approaches to understand how specificity of forest type classification (for example, classifying forest as sugar maple/birch versus simply deciduous ) affects landscape estimates of forest carbon storage in the northeastern United States. I constructed three distinct models to estimate aboveground and coarse roots forest carbon across the study region. These models varied primarily in the specificity of forest type classifications in the input maps and the corresponding carbon storage estimates used for each type. The forest classification schemes tested, from highest to lowest specificity, were: 1) relative basal area by species, 2) species association classes, and 3) coarse forest types (in accordance with IPCC (2006) guidelines). The specificity of forest type classifications in the input maps did influence results, with higher carbon storage estimates generated by models using coarser forest classifications. Maps generated by models that included relative basal area or species association classifications had similar means and standard deviations to the validation plots, as well as the highest correlations with 1000 random points from a remotely-sensed biomass map, suggesting that they better represent variability in carbon storage across the region; however, this variability was largely driven by the incorporation of stand age. Error increased at higher elevations, and decreased with higher total maple-beech-birch components. This likely reflects the dominance of low elevation hardwoods in the studies on which carbon storage estimate tables are based and demonstrates the importance of matching input estimates to region-specific studies. Current estimates of forest carbon storage from the US Forest Service predict 84-90 Mg/ha in this study area, a low value when compared with my modeled estimates of 104 Mg/ha, 108 Mg/ha, and 118 Mg/ha from the relative basal area, species association, and high IPCC models, respectively. If IPCC carbon estimates are to be applied in the northeastern US, the high end of these ranges should be used. Carbon storage estimates that consider different carbon storage capacities of different tree species are useful to explore temporal trends and relative spatial patterns in carbon storage across heterogeneous landscapes, but because of the coarse resolution and low accuracy of existing stand age maps, remotely-sensed biomass maps may be a better approach to quantify carbon stored at specific locations

Inventory of Vegetation and Assessment of Carbon Storage Capacity towards a Low Carbon Campus: a Case Study of Universiti Tun Husein Onn Malaysia, Johor Malaysia

Carbon dioxide, a vital greenhouse gas plays a key role in Earth's carbon cycle, a concentration above ambient temperature results in global warming. High CO2 emission in Universiti Tun Husein Onn Malaysia is due to an increase in a number of automobiles and other greenhouse gases released from building facilities and nearby industries. A study was carried out on 22 common trees planted within the campus on the estimated amount of CO2 sequestered. Estimation of carbon storage of trees was obtained through the assessments of standing biomass as well measurement of their photosynthetic capacity. Results indicated that Spathodea campanulata has the highest CO2 absorption (14.40 µmol/ m-2/s-1) followed by Acacia mangium (14.03 µmol/m-2/s-1), and Cananga odorata with (12.80 µmol m-2 s-1). Alstonia scholaris has the highest aboveground standing biomass accumulation of 106.94 kg, followed by Samanea saman (20.83 kg), and Acacia mangium (19.43 kg). The total biomass accumulated of all the tree species is 200.03 kg. Therefore, species of trees in Universiti Tun Husein Onn Malaysia main campus have the potential to absorb a significant amount of CO2 from the atmosphere thereby contributing to mitigating-the localized effects of global warming

Carbon stored in human settlements: the conterminous United States

Urban areas are home to more than half of the world's people, responsible for >70% of anthropogenic release of carbon dioxide and 76% of wood used for industrial purposes. By 2050 the proportion of the urban population is expected to increase to 70% worldwide. Despite fast rates of change and potential value for mitigation of carbon dioxide emissions, the organic carbon storage in human settlements has not been well quantified. Here, we show that human settlements can store as much carbon per unit area (23–42 kg C m −2 urban areas and 7–16 kg C m −2 exurban areas) as tropical forests, which have the highest carbon density of natural ecosystems (4–25 kg C m −2 ). By the year 2000 carbon storage attributed to human settlements of the conterminous United States was 18 Pg of carbon or 10% of its total land carbon storage. Sixty-four percent of this carbon was attributed to soil, 20% to vegetation, 11% to landfills, and 5% to buildings. To offset rising urban emissions of carbon, regional and national governments should consider how to protect or even to increase carbon storage of human-dominated landscapes. Rigorous studies addressing carbon budgets of human settlements and vulnerability of their carbon storage are needed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75157/1/j.1365-2486.2009.02002.x.pd

Evaluating the regional potential for emissions reduction using energy storage

Energy storage is an enabler of low carbon electricity generation, however several studies have shown that its use can cause a non-trivial increase in carbon emissions even if the storage has 100% round-trip efficiency. To understand the impact of storage operation and demand response on emissions, it is necessary to determine the marginal emissions factor (MEF) at the time the storage or demand response was operated. This paper presents statistical approaches to determining regional MEFs using data on regional electricity demand and generation by fuel type, with a simple power flow model used to determine consumption emissions by region. The technique is applied to the electricity system in Great Britain in 2018. It is found that the impact of storage varies widely by location and operating mode, with the greatest emissions reductions achieved when storage is used to reduce wind curtailment in areas which consume high levels of fossil fuel generation, and the greatest emissions increases occurring where storage is used for wind balancing in areas where wind is not curtailed. The difference between the highest emissions reduction and highest emissions increase is found to be significant, at 785 gCO2 per kWh that passes through storage

A Comparative Analysis of Hydrogen Storage Characteristics in AZ31 Magnesium Alloy with the Addition of Graphene and Carbon Nanotubes via Ball Milling Process

In the present investigation, an examination was conducted on the hydrogen storage performance of industrial waste grade AZ31 magnesium alloy when combined with either Carbon Nanotubes or Graphene. This study aims to understand the enhancement of hydrogen storage properties reinforced with polymer materials, such as Graphene or Carbon Nanotubes. The experimental samples, composed of AZ31 Magnesium Alloy combined with either Carbon Nanotubes or Graphene, were crafted through gravity casting. Thereafter, a high-energy ball milling process was employed to further refine the hydrogen storage material powders. The micrographic structures of all the sample powders were analyzed by x-ray diffraction (XRD), and scanning electron microscopy (SEM) coupled with energy dispersive spectroscopy (EDS). Additionally, the average particle size distributions of the sample powders were quantified for comprehensive characterization. The absorbed and desorbed hydrogen capacity and kinetics was calculated by a Sievert's type apparatus. Overall, the performance of the sample powder AZ31-0.1G showed the highest absorption and desorption at a rate of 0.0036 wt%/s and 0.0084 wt%/s. Moreover, the hydrogen capacity of AZ31-0.1G reached the highest value at 5.32 wt%. The acquired data unveils that with the adding of either Graphene or Carbon Nanotubes as additives significantly improved the hydrogen storage capacity of AZ31 magnesium alloy

Can landscape-scale approaches to conservation management resolve biodiversity-ecosystem service trade-offs?

Conservation management is increasingly being required to support both the provision of ecosystem services and maintenance of biodiversity. However, trade-offs can occur between biodiversity and ecosystems services. We examine whether such trade-offs can be resolved through landscape-scale approaches to management. We analysed the biodiversity value and provision of selected ecosystem services (carbon storage, recreation, aesthetic and timber value) on patches of lowland heathland in the southern English county of Dorset. We used transition matrices of vegetation dynamics across 112 heathland patches to forecast biodiversity and ecosystem service provision on patches of different sizes over a 27-year timeline. Management scenarios simulated the removal of scrub and woodland and compared (i) no management (NM); (ii) all heaths managed equally (AM); and management focused on (iii) small heaths (SM) and (iv) large heaths (LM). Results highlighted a number of trade-offs. Whereas biodiversity values were significantly lower in woodland than in dry and humid heath, timber, carbon storage and aesthetic values were highest in woodland. While recreation value was positively related to dry heath area, it was negatively related to woodland area. Multicriteria analysis ranked NM highest for aesthetic value, carbon storage and timber value. In contrast, SM ranked highest for recreation and LM highest for biodiversity value. In no scenario did the current site-based approach to management (AM) rank highest. Synthesis and applications. Biodiversity-ecosystem service trade-offs are reported in lowland heathland, an ecosystem type of high conservation value. Trade-offs can be addressed through a landscape-scale approach to management, by varying interventions according to heathland patch size. Specifically, if management for biodiversity conservation is focused on larger patches, the aesthetic, carbon storage and timber value of smaller patches would increase, as a result of woody succession. In this way, individual heathland patches of either relatively high biodiversity value or high value for provision of ecosystem services could both potentially be delivered at the landscape scale