Carbon Capture; Transport and Storage in Europe: A Problematic Energy Bridge to Nowhere?

This paper is a follow up of the SECURE-project, financed by the European Commission to study “Security of Energy Considering its Uncertainties, Risks and Economic Implications”. It addresses the perspectives of, and the obstacles to a CCTS-roll out, as stipulated in some of the scenarios. Our main hypothesis is that given the substantial technical and institutional uncertainties, the lack of a clear political commitment, and the available alternatives of low-carbon technologies, CCTS is unlikely to play an important role in the future energy mix; it is even less likely to be an “energy bridge” into a low-carbon energy futureCarbon Capture, Transport, Storage

Operaciones portuarias de petróleo crudo: Una revisión bibliográfica sobre simulación e investigación operativa

[Resumen] Actualmente, el tráfico marítimo de crudo de petróleo y sus derivados sigue siendo un tráfico relevante, tanto desde un punto de vista geoestratégico como a nivel de volumen transportado. Dado el desequilibrio regional en términos de reservas, producción y consumo, se genera, por tanto, un importante tráfico marítimo, pero también una necesidad de la industria de optimizar los procesos con el objetivo de minimizar los costes y dar una respuesta eficiente en términos logísticos. Desde esta perspectiva, las técnicas de investigación operativa y la modelización de los tráficos para su optimización se presentan como una metodología muy conveniente y, a lo largo de los últimos setenta años, han empezado a publicarse estudios científicos con diferentes enfoques cualitativos y cuantitativos. El objetivo de esta investigación es recopilar, analizar y clasificar los modelos de tráfico de crudo de petróleo y sus derivados y ordenar la temática de las innovaciones introducidas. Para alcanzar este objetivo se realiza un recorrido bibliográfico conceptual indicando como se han ido introduciendo las sucesivas mejoras y, al mismo tiempo, eliminando las restricciones iniciales.[Abstract] The maritime traffic of crude oil and derivatives is still very relevant, both from a geostrategic perspective and regarding the total volume of liquid bulk shipped. Due to the regional imbalance in terms of reserves, production and consumption, important maritime traffic is generated, and a necessity for the industry of optimizing these processes, with the goal to minimize costs and give an efficient answer in logistic terms. From this perspective, the operation research techniques, and the traffic modeling techniques aimed at optimization, can be presented as a very convenient methodology over the last seventy years, a stream of scientific publications has emerged with different quantitative and qualitative focus. This research aims to gather, analyze and classify the traffic models of crude oil and derivatives and to order the innovation concepts gradually introduced. In order to achieve this goal, conceptual bibliographic research is performed showing how the subsequent improvements have been introduced and, at the same time, erasing the initial restriction

Supply and demand planning for crude oil procurement in refineries

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2006.Includes bibliographical references (leaves 70-72).The upstream petroleum supply chain is inefficient and uneconomical because of the independence of the four complex and fragmented functions which comprise it. Crude oil exploration, trading, transportation, and refining are functions which may be integrated through unified decision-making facilitated by timely information exchange. This exchange has been problematic because the four business units with their disparate activities have not been able to capture and appropriately structure the required information. How can business executives in the oil industry assemble all of the required information to achieve system-wide optimization? To remove the silos which impede system-wide optimization, there is need to analyze people, systems and issues in the upstream section of the petroleum supply chain; as a background to understanding the current challenges faced in achieving integration. Hence, the use of secondary and primary data sources was used for this research. The secondary includes the review of relevant literature while the primary data were from two sources. The first came from an on-site interview with the heads of business units of a case study, a company which is a major player in the industry.(cont.) The second is from telephone interviews with industry experts which include software providers, consultants and other major players in the industry. The findings are that on-time information exchange will maximize shareholders' value and improve process efficiency in the supply chain. This process efficiency makes the upstream supply chain more responsive to possible changes in the environment that affects its operation. This will allow supply chain managers to achieve both a reduction in the variability in price of end product will be obtained while achieving stable profit margins. This research concludes by advocating that the use of information systems that accurately support data exchange among the functions in the supply chain in a timely, coordinated fashion with minimal distortion is required to ensure consistency in optimal decision making. To achieve this, change management is necessary because it requires a shift to a holistic approach in making decisions. Finally, areas recommended for future research are stated.by Beatrice N. Nnadili.M.Eng.in Logistic

Solving the vehicle routing problem with lunch break arising in the furniture delivery industry

In this paper we solve the Vehicle Routing Problem with Lunch Break (VRPLB) which arises when drivers must take pauses during their shift, for example, for lunch breaks. Driver breaks have already been considered in long haul transportation when drivers must rest during their travel, but the underlying optimization problem remains difficult and few contributions can be found for less than truckload and last mile distribution contexts. This problem, which appears in the furniture delivery industry, includes rich features such as time windows and heterogeneous vehicles. In this paper we evaluate the performance of a new mathematical formulation for the VRPLB and of a fast and high performing heuristic. The mixed integer linear programming formulation has the disadvantage of roughly doubling the number of nodes, and thus significantly increasing the size of the distance matrix and the number of variables. Consequently, standard branch-and-bound algorithms are only capable of solving small-sized instances. In order to tackle large instances provided by an industrial partner, we propose a fast multi-start randomized local search heuristic tailored for the VRPLB, which is shown to be very efficient. Through a series of computational experiments, we show that solving the VRPLB without explicitly considering the pauses during the optimization process can lead to a number of infeasibilities. These results demonstrate the importance of integrating drivers pauses in the resolution process

Best Available Techniques (BAT) Reference Document for the Production of Large Volume Organic Chemicals. Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control)

The Best Available Techniques (BAT) Reference Document (BREF) for the Production of Large Volume Organic Chemicals is part of series of documents presenting the results of an exchange of information between EU Member States, the industries concerned, non-governmental organisations promoting environmental protection, and the Commission, to draw up, review and – where necessary – update BAT reference documents as required by Article 13(1) of Directive 2010/78/EU on Industrial Emissions (the Directive). This document is published by the European Commission pursuant to Article 13(6) of the Directive. The BREF for the production of Large Volume Organic Chemicals concerns the production of the following organic chemicals, as specified in Section 4.1 of Annex I to Directive 2010/75/EU: a. simple hydrocarbons (linear or cyclic, saturated or unsaturated, aliphatic or aromatic); b. oxygen-containing hydrocarbons such as alcohols, aldehydes, ketones, carboxylic acids, esters and mixtures of esters, acetates, ethers, peroxides and epoxy resins; c. sulphurous hydrocarbons; d. nitrogenous hydrocarbons such as amines, amides, nitrous compounds, nitro compounds or nitrate compounds, nitriles, cyanates, isocyanates; e. phosphorus-containing hydrocarbons; f. halogenic hydrocarbons; g. organometallic compounds; k. surface-active agents and surfactants. This document also covers the production of hydrogen peroxide as specified in Section 4.2 (e) of Annex I to Directive 2010/75/EU; and the combustion of fuels in process furnaces/heaters, where this is part of the abovementioned activities. The production of the aforementioned chemicals is covered by this document when it is done in continuous processes where the total production capacity of those chemicals exceeds 20 kt/yr. While the main aim of the LVOC BREF is to facilitate reduction of emissions from chemical processes, other environmental issues - like energy efficiency, resource efficiency, wastes and residues - are also covered. This BREF contains 14 Chapters. Chapters 1 and 2 provide general information on the Large Volume Organics industrial sector and on generic industrial production processes used in this sector. Chapters 3 to 12 provide general information , applied processes and techniques, current emission and consumption levels, techniques to consider in determination of BAT and emerging techniques for various illustrative processes: lower olefins, aromatics, ethylbenzene and styrene, formaldehyde, ethylene oxide and ethylene glycols, phenol, ethanolamines, toluene diisocyanate and methylene diphenyl diisocyanate, ethylene dichloride and vinyl chloride monomer and hydrogen peroxide. Chapter 13 presents BAT conclusions as defined in Article 3(12) of the Directive. Concluding remarks and recommendations for future work are presented in Chapter 14.JRC.B.5-Circular Economy and Industrial Leadershi

Best Available Techniques (BAT) Reference Document for the Refining of Mineral Oil and Gas. Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control)

The BREF entitled ‘Refining of Mineral Oil and Gas’ forms part of a series presenting the results of an exchange of information between EU Member States, the industries concerned, non-governmental organisations promoting environmental protection, and the Commission, to draw up, review, and where necessary, update BAT reference documents as required by Article 13(1) of the Industrial Emissions Directive (2010/75/EU). This document is published by the European Commission pursuant to Article 13(6) of the Directive. This BREF for the refining of mineral oil and gas covers certain industrial activities specified in Section 1.2 of Annex I to Directive 2010/75/EU, namely the energy industries of the refining of mineral oil and gas sector. In particular, this document covers the following refineries processes and activities: - Alkylation - Base oil production - Bitumen production - Catalytic cracking - Catalytic reforming - Coking - Cooling - Desalting - Combustion of refinery fuels for energy production - Etherification - Gas separation - Hydrogen consuming processes - Hydrogen production - Isomerisation - Natural gas plants - Polymerisation - Primary distillation - Product treatments - Storage and handling of refinery materials - Visbreaking and other thermal conversions - Waste gas treatment - Waste water treatment - Waste management. Important issues for the implementation of Directive 2010/75/EU in the refining of mineral oil and gas sector are the emissions to air of volatile organic substances, nitrogen oxides, sulphur oxides, hydrofluoric acid, ammonia, carbon monoxide, dioxins and furans, and dust; emissions to water of oils, benzene, suspended solids, COD, nitrogen, metals (lead, cadmium, nickel, mercury); energy efficiency; and the prevention of emissions to soil and groundwater. The BREF document contains seven chapters. Chapters 1 and 2 provide general information on the refining of mineral oil and gas industry and on the industrial processes and techniques used within this sector. Chapter 3 provides data and information concerning the environmental performance of installations in terms of current emissions, consumption of raw materials, water and energy, and generation of waste. Chapter 4 describes the techniques to prevent or reduce emissions from installations in the sector. In Chapter 5 the BAT conclusions, as defined in Article 3(12) of the Directive, are presented for the refining of mineral oil and gas industry. Chapters 6 and 7 are dedicated to emerging techniques as well as to concluding remarks and recommendations for future work in the sector, respectively.JRC.J.5-Sustainable Production and Consumptio

Time decomposition of multi-period supply chain models

Many supply chain problems involve discrete decisions in a dynamic environment. The inventory routing problem is an example that combines the dynamic control of inventory at various facilities in a supply chain with the discrete routing decisions of a fleet of vehicles that moves product between the facilities. We study these problems modeled as mixed-integer programs and propose a time decomposition based on approximate inventory valuation. We generate the approximate value function with an algorithm that combines data fitting, discrete optimization and dynamic programming methodology. Our framework allows the user to specify a class of piecewise linear, concave functions from which the algorithm chooses the value function. The use of piecewise linear concave functions is motivated by intuition, theory and practice. Intuitively, concavity reflects the notion that inventory is marginally more valuable the closer one is to a stock-out. Theoretically, piecewise linear concave functions have certain structural properties that also hold for finite mixed-integer program value functions. (Whether the same properties hold in the infinite case is an open question, to our knowledge.) Practically, piecewise linear concave functions are easily embedded in the objective function of a maximization mixed-integer or linear program, with only a few additional auxiliary continuous variables. We evaluate the solutions generated by our value functions in a case study using maritime inventory routing instances inspired by the petrochemical industry. The thesis also includes two other contributions. First, we review various data fitting optimization models related to piecewise linear concave functions, and introduce new mixed-integer programming formulations for some cases. The formulations may be of independent interest, with applications in engineering, mixed-integer non-linear programming, and other areas. Second, we study a discounted, infinite-horizon version of the canonical single-item lot-sizing problem and characterize its value function, proving that it inherits all properties of interest from its finite counterpart. We then compare its optimal policies to our algorithm's solutions as a proof of concept.PhDCommittee Chair: George Nemhauser; Committee Member: Ahmet Keha; Committee Member: Martin Savelsbergh; Committee Member: Santanu Dey; Committee Member: Shabbir Ahme

Discrete time and continuous time formulations for a short sea inventory routing problem

We consider a fuel oil distribution problem where an oil company is responsible for the routing and scheduling of ships between ports such that the demand for various fuel oil products is satisfied during the planning horizon. The production/consumption rates are given and assumed to be constant. We provide two alternative mixed integer formulations: a discrete time model adapted from the case where the production/consumption rates are varying and a classical continuous time formulation. We discuss different extended formulations and valid inequalities that allow us to reduce the linear gap of the two initial formulations. A computational study comparing the various models accordingly to their size, linear gap and running time, was conducted based on real small-size instances, using a commercial software