Dimensionamiento del proceso de licuación de una planta de gas natural Offshore

Este proyecto consiste en el dimensionamiento del proceso de licuación de una planta offshore para la producción de gas natural licuado, usando únicamente N2 como refrigerante, evitando de este modo riesgos potenciales que podrían surgir con el uso de refrigerantes mixtos compuestos de hidrocarburos. El proceso ha sido diseñado para acomodar 35,23 kg/s (aproximadamente un millón de toneladas por año) de gas natural seco, sin separación de gases licuados de petróleo (GLP) y ajustarlo dentro de los parámetros requeridos en las especificaciones del proceso. Para proceder al dimensionamiento del proceso de licuación de gas natural de la planta se ha empleado el programa Aspen Plus. Los sistemas floating production, storage and offloading para licuar el gas natural (LNG-FPSO), es una nueva unidad conceptual y un modo realista y efectivo para la explotación, recuperación, almacenamiento, transporte y agotamiento de los campos marginales de gas y las fuentes de gas asociadas offshore. En el proyecto se detalla el proceso, equipos necesarios y costes estimados, potencia aproximada requerida y un breve análisis económico. ABSTRACT This project consist of the dimensioning of a liquefaction process in an offshore plant to produce liquefied natural, using only N2 as refrigerant in the cooling cycles to avoid potential hazards of mixed hydrocarbon refrigerants. The process was designed to accommodate 35.23 kg/s (roughly 1 MTPA) of raw natural gas feed without separation of LPG, and fits within all parameters required in the process specifications. The plant has been designed with the computer tool Aspen Plus. The floating production, storage and offloading system for liquefied natural gas (LNGFPSO), is a new conceptual unit and an effective and realistic way for exploitation, recovery, storage, transportation and end-use applications of marginal gas fields and offshore associated-gas resources. The following report details the process, equipment needs and estimated costs, approximated power requirements, and a brief economic analysis.

Gestión del boil off gas en la planta de regasificación de Cartagena

Este proyecto trata sobre la gestión del boil-off gas, o BOG (vapor de gas natural que se produce en las instalaciones de gas natural licuado de las plantas de regasificación), generado en la planta de regasificación de Gas Natural Licuado de Cartagena, tanto en las situaciones en las que se opera por debajo del mínimo técnico, como en las cargas y descargas de buques, en las cuales se ha de gestionar una cantidad del boil-off adicional. Para recuperar el boil-off, las plantas cuentan con un relicuador (intercambiador de calor) en el que el BOG es relicuado por el GNL que se envía a los vaporizadores para ser regasificado y emitido a la red. De forma complementaria cuentan también con una antorcha/venteo donde se quema el exceso de boil-off que no puede ser tratado por el relicuador. Se procede a un análisis de la situación actual, y de cómo la baja demanda de regasificación dificulta la gestión del boil-off. Se simula el proceso de relicuación actual en distintas situaciones de operación. Ante la situación de baja demanda, ha aumentado considerablemente el número de días en los que las plantas españolas en general, y la planta de Cartagena en particular, operan por debajo del mínimo técnico, que es el nivel de producción mínimo para recuperar todo el boil-off generado en cualquier situación de operación al tiempo que mantiene en frío todas las instalaciones, y garantiza el 100% de disponibilidad inmediata del resto de los equipos en condiciones de seguridad de funcionamiento estable. Esta situación supone inconvenientes tanto operativos como medioambientales y acarrea mayores costes económicos, a los cuales da solución el presente proyecto, decidiendo qué alternativa técnica es la más adecuada y definiéndola. Abstract This project is about the management of the boil-off gas (BOG), natural vapour gas that is produced in liquefied natural gas (LNG) regasification plants. Specifically, the study is focused on the LNG regasification plant located in Cartagena, when it operates both below the technical minimum level of regasification and in the loading/unloading of LNG carriers, situations when it is needed to handle additional BOG. In order to make the most of BOG, the plants have a re-condenser (heat exchanger). Here, the BOG is re-liquefied by the LNG that is submitted to the vaporizers and delivered to the grid. The plants also have a flare/vent where the excess of BOG that cannot be treated by the re-condenser is burned. An analysis of the current situation of the demand is performed, evaluating how low markets demand for regasification difficult the BOG management. Besides, it is simulated the current re-liquefaction operating in different environments. Due to the reduction of the demand for natural gas, the periods when Spanish LNG regasification plants (and particularly the factory of Cartagena) are operating below the technical minimum level of regasification are more usual. This level is the minimum production to recover all the BOG generated in any operating situation while maintaining cold all facilities, fully guaranteeing the immediate availability from other equipment in a safely and stable operation. This situation carries both operational and environmental drawbacks, and leads to higher economic costs. This project aims to solve this problem, presenting several technical solutions and deciding which is the most appropriate.

Evaluación de las Consecuencias de la Nueva Regulación de la OMI sobre Combustibles Marinos

El 10 de octubre de 2008 la Organización Marítima Internacional (OMI) firmó una modificación al Anexo VI del convenio MARPOL 73/78, por la que estableció una reducción progresiva de las emisiones de óxidos de azufre (SOx) procedentes de los buques, una reducción adicional de las emisiones de óxidos de nitrógeno (NOx), así como límites en las emisiones de dióxido de Carbono (CO2) procedentes de los motores marinos y causantes de problemas medioambientales como la lluvia ácida y efecto invernadero. Centrándonos en los límites sobre las emisiones de azufre, a partir del 1 de enero de 2015 esta normativa obliga a todos los buques que naveguen por zonas controladas, llamadas Emission Control Area (ECA), a consumir combustibles con un contenido de azufre menor al 0,1%. A partir del 1 de enero del año 2020, o bien del año 2025, si la OMI decide retrasar su inicio, los buques deberán consumir combustibles con un contenido de azufre menor al 0,5%. De igual forma que antes, el contenido deberá ser rebajado al 0,1%S, si navegan por el interior de zonas ECA. Por su parte, la Unión Europea ha ido más allá que la OMI, adelantando al año 2020 la aplicación de los límites más estrictos de la ley MARPOL sobre las aguas de su zona económica exclusiva. Para ello, el 21 de noviembre de 2013 firmó la Directiva 2012 / 33 / EU como adenda a la Directiva de 1999. Tengamos presente que la finalidad de estas nuevas leyes es la mejora de la salud pública y el medioambiente, produciendo beneficios sociales, en forma de reducción de enfermedades, sobre todo de tipo respiratorio, a la vez que se reduce la lluvia ácida y sus nefastas consecuencias. La primera pregunta que surge es ¿cuál es el combustible actual de los buques y cuál será el que tengan que consumir para cumplir con esta Regulación? Pues bien, los grandes buques de navegación internacional consumen hoy en día fuel oil con un nivel de azufre de 3,5%. ¿Existen fueles con un nivel de azufre de 0,5%S? Como hemos concluido en el capítulo 4, para las empresas petroleras, la producción de fuel oil como combustible marino es tratada como un subproducto en su cesta de productos refinados por cada barril de Brent, ya que la demanda de fuel respecto a otros productos está bajando y además, el margen de beneficio que obtienen por la venta de otros productos petrolíferos es mayor que con el fuel. Así, podemos decir que las empresas petroleras no están interesadas en invertir en sus refinerías para producir estos fueles con menor contenido de azufre. Es más, en el caso de que alguna compañía decidiese invertir en producir un fuel de 0,5%S, su precio debería ser muy similar al del gasóleo para poder recuperar las inversiones empleadas. Por lo tanto, el único combustible que actualmente cumple con los nuevos niveles impuestos por la OMI es el gasóleo, con un precio que durante el año 2014 estuvo a una media de 307 USD/ton más alto que el actual fuel oil. Este mayor precio de compra de combustible impactará directamente sobre el coste del trasporte marítimo. La entrada en vigor de las anteriores normativas está suponiendo un reto para todo el sector marítimo. Ante esta realidad, se plantean diferentes alternativas con diferentes implicaciones técnicas, operativas y financieras. En la actualidad, son tres las alternativas con mayor aceptación en el sector. La primera alternativa consiste en “no hacer nada” y simplemente cambiar el tipo de combustible de los grandes buques de fuel oil a gasóleo. Las segunda alternativa es la instalación de un equipo scrubber, que permitiría continuar con el consumo de fuel oil, limpiando sus gases de combustión antes de salir a la atmósfera. Y, por último, la tercera alternativa consiste en el uso de Gas Natural Licuado (GNL) como combustible, con un precio inferior al del gasóleo. Sin embargo, aún existen importantes incertidumbres sobre la evolución futura de precios, operación y mantenimiento de las nuevas tecnologías, inversiones necesarias, disponibilidad de infraestructura portuaria e incluso el desarrollo futuro de la propia normativa internacional. Estas dudas hacen que ninguna de estas tres alternativas sea unánime en el sector. En esta tesis, tras exponer en el capítulo 3 la regulación aplicable al sector, hemos investigado sus consecuencias. Para ello, hemos examinado en el capítulo 4 si existen en la actualidad combustibles marinos que cumplan con los nuevos límites de azufre o en su defecto, cuál sería el precio de los nuevos combustibles. Partimos en el capítulo 5 de la hipótesis de que todos los buques cambian su consumo de fuel oil a gasóleo para cumplir con dicha normativa, calculamos el incremento de demanda de gasóleo que se produciría y analizamos las consecuencias que este hecho tendría sobre la producción de gasóleos en el Mediterráneo. Adicionalmente, calculamos el impacto económico que dicho incremento de coste producirá sobre sector exterior de España. Para ello, empleamos como base de datos el sistema de control de tráfico marítimo Authomatic Identification System (AIS) para luego analizar los datos de todos los buques que han hecho escala en algún puerto español, para así calcular el extra coste anual por el consumo de gasóleo que sufrirá el transporte marítimo para mover todas las importaciones y exportaciones de España. Por último, en el capítulo 6, examinamos y comparamos las otras dos alternativas al consumo de gasóleo -scrubbers y propulsión con GNL como combustible- y, finalmente, analizamos en el capítulo 7, la viabilidad de las inversiones en estas dos tecnologías para cumplir con la regulación. En el capítulo 5 explicamos los numerosos métodos que existen para calcular la demanda de combustible de un buque. La metodología seguida para su cálculo será del tipo bottom-up, que está basada en la agregación de la actividad y las características de cada tipo de buque. El resultado está basado en la potencia instalada de cada buque, porcentaje de carga del motor y su consumo específico. Para ello, analizamos el número de buques que navegan por el Mediterráneo a lo largo de un año mediante el sistema AIS, realizando “fotos” del tráfico marítimo en el Mediterráneo y reportando todos los buques en navegación en días aleatorios a lo largo de todo el año 2014. Por último, y con los datos anteriores, calculamos la demanda potencial de gasóleo en el Mediterráneo. Si no se hace nada y los buques comienzan a consumir gasóleo como combustible principal, en vez del actual fuel oil para cumplir con la regulación, la demanda de gasoil en el Mediterráneo aumentará en 12,12 MTA (Millones de Toneladas Anuales) a partir del año 2020. Esto supone alrededor de 3.720 millones de dólares anuales por el incremento del gasto de combustible tomando como referencia el precio medio de los combustibles marinos durante el año 2014. El anterior incremento de demanda en el Mediterráneo supondría el 43% del total de la demanda de gasóleos en España en el año 2013, incluyendo gasóleos de automoción, biodiesel y gasóleos marinos y el 3,2% del consumo europeo de destilados medios durante el año 2014. ¿Podrá la oferta del mercado europeo asumir este incremento de demanda de gasóleos? Europa siempre ha sido excedentaria en gasolina y deficitaria en destilados medios. En el año 2009, Europa tuvo que importar 4,8 MTA de Norte América y 22,1 MTA de Asia. Por lo que, este aumento de demanda sobre la ya limitada capacidad de refino de destilados medios en Europa incrementará las importaciones y producirá también aumentos en los precios, sobre todo del mercado del gasóleo. El sector sobre el que más impactará el incremento de demanda de gasóleo será el de los cruceros que navegan por el Mediterráneo, pues consumirán un 30,4% de la demanda de combustible de toda flota mundial de cruceros, lo que supone un aumento en su gasto de combustible de 386 millones de USD anuales. En el caso de los RoRos, consumirían un 23,6% de la demanda de la flota mundial de este tipo de buque, con un aumento anual de 171 millones de USD sobre su gasto de combustible anterior. El mayor incremento de coste lo sufrirán los portacontenedores, con 1.168 millones de USD anuales sobre su gasto actual. Sin embargo, su consumo en el Mediterráneo representa sólo el 5,3% del consumo mundial de combustible de este tipo de buques. Estos números plantean la incertidumbre de si semejante aumento de gasto en buques RoRo hará que el transporte marítimo de corta distancia en general pierda competitividad sobre otros medios de transporte alternativos en determinadas rutas. De manera que, parte del volumen de mercancías que actualmente transportan los buques se podría trasladar a la carretera, con los inconvenientes medioambientales y operativos, que esto produciría. En el caso particular de España, el extra coste por el consumo de gasóleo de todos los buques con escala en algún puerto español en el año 2013 se cifra en 1.717 millones de EUR anuales, según demostramos en la última parte del capítulo 5. Para realizar este cálculo hemos analizado con el sistema AIS a todos los buques que han tenido escala en algún puerto español y los hemos clasificado por distancia navegada, tipo de buque y potencia. Este encarecimiento del transporte marítimo será trasladado al sector exterior español, lo cual producirá un aumento del coste de las importaciones y exportaciones por mar en un país muy expuesto, pues el 75,61% del total de las importaciones y el 53,64% del total de las exportaciones se han hecho por vía marítima. Las tres industrias que se verán más afectadas son aquellas cuyo valor de mercancía es inferior respecto a su coste de transporte. Para ellas los aumentos del coste sobre el total del valor de cada mercancía serán de un 2,94% para la madera y corcho, un 2,14% para los productos minerales y un 1,93% para las manufacturas de piedra, cemento, cerámica y vidrio. Las mercancías que entren o salgan por los dos archipiélagos españoles de Canarias y Baleares serán las que se verán más impactadas por el extra coste del transporte marítimo, ya que son los puertos más alejados de otros puertos principales y, por tanto, con más distancia de navegación. Sin embargo, esta no es la única alternativa al cumplimiento de la nueva regulación. De la lectura del capítulo 6 concluimos que las tecnologías de equipos scrubbers y de propulsión con GNL permitirán al buque consumir combustibles más baratos al gasoil, a cambio de una inversión en estas tecnologías. ¿Serán los ahorros producidos por estas nuevas tecnologías suficientes para justificar su inversión? Para contestar la anterior pregunta, en el capítulo 7 hemos comparado las tres alternativas y hemos calculado tanto los costes de inversión como los gastos operativos correspondientes a equipos scrubbers o propulsión con GNL para una selección de 53 categorías de buques. La inversión en equipos scrubbers es más conveniente para buques grandes, con navegación no regular. Sin embargo, para buques de tamaño menor y navegación regular por puertos con buena infraestructura de suministro de GNL, la inversión en una propulsión con GNL como combustible será la más adecuada. En el caso de un tiempo de navegación del 100% dentro de zonas ECA y bajo el escenario de precios visto durante el año 2014, los proyectos con mejor plazo de recuperación de la inversión en equipos scrubbers son para los cruceros de gran tamaño (100.000 tons. GT), para los que se recupera la inversión en 0,62 años, los grandes portacontenedores de más de 8.000 TEUs con 0,64 años de recuperación y entre 5.000-8.000 TEUs con 0,71 años de recuperación y, por último, los grandes petroleros de más de 200.000 tons. de peso muerto donde tenemos un plazo de recuperación de 0,82 años. La inversión en scrubbers para buques pequeños, por el contrario, tarda más tiempo en recuperarse llegando a más de 5 años en petroleros y quimiqueros de menos de 5.000 toneladas de peso muerto. En el caso de una posible inversión en propulsión con GNL, las categorías de buques donde la inversión en GNL es más favorable y recuperable en menor tiempo son las más pequeñas, como ferris, cruceros o RoRos. Tomamos ahora el caso particular de un buque de productos limpios de 38.500 toneladas de peso muerto ya construido y nos planteamos la viabilidad de la inversión en la instalación de un equipo scrubber o bien, el cambio a una propulsión por GNL a partir del año 2015. Se comprueba que las dos variables que más impactan sobre la conveniencia de la inversión son el tiempo de navegación del buque dentro de zonas de emisiones controladas (ECA) y el escenario futuro de precios del MGO, HSFO y GNL. Para realizar este análisis hemos estudiado cada inversión, calculando una batería de condiciones de mérito como el payback, TIR, VAN y la evolución de la tesorería del inversor. Posteriormente, hemos calculado las condiciones de contorno mínimas de este buque en concreto para asegurar una inversión no sólo aceptable, sino además conveniente para el naviero inversor. En el entorno de precios del 2014 -con un diferencial entre fuel y gasóleo de 264,35 USD/ton- si el buque pasa más de un 56% de su tiempo de navegación en zonas ECA, conseguirá una rentabilidad de la inversión para inversores (TIR) en el equipo scrubber que será igual o superior al 9,6%, valor tomado como coste de oportunidad. Para el caso de inversión en GNL, en el entorno de precios del año 2014 -con un diferencial entre GNL y gasóleo de 353,8 USD/ton FOE- si el buque pasa más de un 64,8 % de su tiempo de navegación en zonas ECA, conseguirá una rentabilidad de la inversión para inversores (TIR) que será igual o superior al 9,6%, valor del coste de oportunidad. Para un tiempo en zona ECA estimado de un 60%, la rentabilidad de la inversión (TIR) en scrubbers para los inversores será igual o superior al 9,6%, el coste de oportunidad requerido por el inversor, para valores del diferencial de precio entre los dos combustibles alternativos, gasóleo (MGO) y fuel oil (HSFO) a partir de 244,73 USD/ton. En el caso de una inversión en propulsión GNL se requeriría un diferencial de precio entre MGO y GNL de 382,3 USD/ton FOE o superior. Así, para un buque de productos limpios de 38.500 DWT, la inversión en una reconversión para instalar un equipo scrubber es más conveniente que la de GNL, pues alcanza rentabilidades de la inversión (TIR) para inversores del 12,77%, frente a un 6,81% en el caso de invertir en GNL. Para ambos cálculos se ha tomado un buque que navegue un 60% de su tiempo por zona ECA y un escenario de precios medios del año 2014 para el combustible. Po otro lado, las inversiones en estas tecnologías a partir del año 2025 para nuevas construcciones son en ambos casos convenientes. El naviero deberá prestar especial atención aquí a las características propias de su buque y tipo de navegación, así como a la infraestructura de suministros y vertidos en los puertos donde vaya a operar usualmente. Si bien, no se ha estudiado en profundidad en esta tesis, no olvidemos que el sector marítimo debe cumplir además con las otras dos limitaciones que la regulación de la OMI establece sobre las emisiones de óxidos de Nitrógeno (NOx) y Carbono (CO2) y que sin duda, requerirán adicionales inversiones en diversos equipos. De manera que, si bien las consecuencias del consumo de gasóleo como alternativa al cumplimiento de la Regulación MARPOL son ciertamente preocupantes, existen alternativas al uso del gasóleo, con un aumento sobre el coste del transporte marítimo menor y manteniendo los beneficios sociales que pretende dicha ley. En efecto, como hemos demostrado, las opciones que se plantean como más rentables desde el punto de vista financiero son el consumo de GNL en los buques pequeños y de línea regular (cruceros, ferries, RoRos), y la instalación de scrubbers para el resto de buques de grandes dimensiones. Pero, por desgracia, estas inversiones no llegan a hacerse realidad por el elevado grado de incertidumbre asociado a estos dos mercados, que aumenta el riesgo empresarial, tanto de navieros como de suministradores de estas nuevas tecnologías. Observamos así una gran reticencia del sector privado a decidirse por estas dos alternativas. Este elevado nivel de riesgo sólo puede reducirse fomentando el esfuerzo conjunto del sector público y privado para superar estas barreras de entrada del mercado de scrubbers y GNL, que lograrían reducir las externalidades medioambientales de las emisiones sin restar competitividad al transporte marítimo. Creemos así, que los mismos organismos que aprobaron dicha ley deben ayudar al sector naviero a afrontar las inversiones en dichas tecnologías, así como a impulsar su investigación y promover la creación de una infraestructura portuaria adaptada a suministros de GNL y a descargas de vertidos procedentes de los equipos scrubber. Deberían además, prestar especial atención sobre las ayudas al sector de corta distancia para evitar que pierda competitividad frente a otros medios de transporte por el cumplimiento de esta normativa. Actualmente existen varios programas europeos de incentivos, como TEN-T o Marco Polo, pero no los consideramos suficientes. Por otro lado, la Organización Marítima Internacional debe confirmar cuanto antes si retrasa o no al 2025 la nueva bajada del nivel de azufre en combustibles. De esta manera, se eliminaría la gran incertidumbre temporal que actualmente tienen tanto navieros, como empresas petroleras y puertos para iniciar sus futuras inversiones y poder estudiar la viabilidad de cada alternativa de forma individual. ABSTRACT On 10 October 2008 the International Maritime Organization (IMO) signed an amendment to Annex VI of the MARPOL 73/78 convention establishing a gradual reduction in sulphur oxide (SOx) emissions from ships, and an additional reduction in nitrogen oxide (NOx) emissions and carbon dioxide (CO2) emissions from marine engines which cause environmental problems such as acid rain and the greenhouse effect. According to this regulation, from 1 January 2015, ships travelling in an Emission Control Area (ECA) must use fuels with a sulphur content of less than 0.1%. From 1 January 2020, or alternatively from 2025 if the IMO should decide to delay its introduction, all ships must use fuels with a sulphur content of less than 0.5%. As before, this content will be 0.1%S for voyages within ECAs. Meanwhile, the European Union has gone further than the IMO, and will apply the strictest limits of the MARPOL directives in the waters of its exclusive economic zone from 2020. To this end, Directive 2012/33/EU was issued on 21 November 2013 as an addendum to the 1999 Directive. These laws are intended to improve public health and the environment, benefiting society by reducing disease, particularly respiratory problems. The first question which arises is: what fuel do ships currently use, and what fuel will they have to use to comply with the Convention? Today, large international shipping vessels consume fuel oil with a sulphur level of 3.5%. Do fuel oils exist with a sulphur level of 0.5%S? As we conclude in Chapter 4, oil companies regard marine fuel oil as a by-product of refining Brent to produce their basket of products, as the demand for fuel oil is declining in comparison to other products, and the profit margin on the sale of other petroleum products is higher. Thus, oil companies are not interested in investing in their refineries to produce low-sulphur fuel oils, and if a company should decide to invest in producing a 0.5%S fuel oil, its price would have to be very similar to that of marine gas oil in order to recoup the investment. Therefore, the only fuel which presently complies with the new levels required by the IMO is marine gas oil, which was priced on average 307 USD/tonne higher than current fuel oils during 2014. This higher purchasing price for fuel will have a direct impact on the cost of maritime transport. The entry into force of the above directive presents a challenge for the entire maritime sector. There are various alternative approaches to this situation, with different technical, operational and financial implications. At present three options are the most widespread in the sector. The first option consists of “doing nothing” and simply switching from fuel oil to marine gas oil in large ships. The second option is installing a scrubber system, which would enable ships to continue consuming fuel oil, cleaning the combustion gases before they are released to the atmosphere. And finally, the third option is using Liquefied Natural Gas (LNG), which is priced lower than marine gas oil, as a fuel. However, there is still significant uncertainty on future variations in prices, the operation and maintenance of the new technologies, the investments required, the availability of port infrastructure and even future developments in the international regulations themselves. These uncertainties mean that none of these three alternatives has been unanimously accepted by the sector. In this Thesis, after discussing all the regulations applicable to the sector in Chapter 3, we investigate their consequences. In Chapter 4 we examine whether there are currently any marine fuels on the market which meet the new sulphur limits, and if not, how much new fuels would cost. In Chapter 5, based on the hypothesis that all ships will switch from fuel oil to marine gas oil to comply with the regulations, we calculate the increase in demand for marine gas oil this would lead to, and analyse the consequences this would have on marine gas oil production in the Mediterranean. We also calculate the economic impact such a cost increase would have on Spain's external sector. To do this, we also use the Automatic Identification System (AIS) system to analyse the data of every ship stopping in any Spanish port, in order to calculate the extra cost of using marine gas oil in maritime transport for all Spain's imports and exports. Finally, in Chapter 6, we examine and compare the other two alternatives to marine gas oil, scrubbers and LNG, and in Chapter 7 we analyse the viability of investing in these two technologies in order to comply with the regulations. In Chapter 5 we explain the many existing methods for calculating a ship's fuel consumption. We use a bottom-up calculation method, based on aggregating the activity and characteristics of each type of vessel. The result is based on the installed engine power of each ship, the engine load percentage and its specific consumption. To do this, we analyse the number of ships travelling in the Mediterranean in the course of one year, using the AIS, a marine traffic monitoring system, to take “snapshots” of marine traffic in the Mediterranean and report all ships at sea on random days throughout 2014. Finally, with the above data, we calculate the potential demand for marine gas oil in the Mediterranean. If nothing else is done and ships begin to use marine gas oil instead of fuel oil in order to comply with the regulation, the demand for marine gas oil in the Mediterranean will increase by 12.12 MTA (Millions Tonnes per Annum) from 2020. This means an increase of around 3.72 billion dollars a year in fuel costs, taking as reference the average price of marine fuels in 2014. Such an increase in demand in the Mediterranean would be equivalent to 43% of the total demand for diesel in Spain in 2013, including automotive diesel fuels, biodiesel and marine gas oils, and 3.2% of European consumption of middle distillates in 2014. Would the European market be able to supply enough to meet this greater demand for diesel? Europe has always had a surplus of gasoline and a deficit of middle distillates. In 2009, Europe had to import 4.8 MTA from North America and 22.1 MTA from Asia. Therefore, this increased demand on Europe's already limited capacity for refining middle distillates would lead to increased imports and higher prices, especially in the diesel market. The sector which would suffer the greatest impact of increased demand for marine gas oil would be Mediterranean cruise ships, which represent 30.4% of the fuel demand of the entire world cruise fleet, meaning their fuel costs would rise by 386 million USD per year. ROROs in the Mediterranean, which represent 23.6% of the demand of the world fleet of this type of ship, would see their fuel costs increase by 171 million USD a year. The greatest cost increase would be among container ships, with an increase on current costs of 1.168 billion USD per year. However, their consumption in the Mediterranean represents only 5.3% of worldwide fuel consumption by container ships. These figures raise the question of whether a cost increase of this size for RORO ships would lead to short-distance marine transport in general becoming less competitive compared to other transport options on certain routes. For example, some of the goods that ships now carry could switch to road transport, with the undesirable effects on the environment and on operations that this would produce. In the particular case of Spain, the extra cost of switching to marine gas oil in all ships stopping at any Spanish port in 2013 would be 1.717 billion EUR per year, as we demonstrate in the last part of Chapter 5. For this calculation, we used the AIS system to analyse all ships which stopped at any Spanish port, classifying them by distance travelled, type of ship and engine power. This rising cost of marine transport would be passed on to the Spanish external sector, increasing the cost of imports and exports by sea in a country which relies heavily on maritime transport, which accounts for 75.61% of Spain's total imports and 53.64% of its total exports. The three industries which would be worst affected are those with goods of lower value relative to transport costs. The increased costs over the total value of each good would be 2.94% for wood and cork, 2.14% for mineral products and 1.93% for manufactured stone, cement, ceramic and glass products. Goods entering via the two Spanish archipelagos, the Canary Islands and the Balearic Islands, would suffer the greatest impact from the extra cost of marine transport, as these ports are further away from other major ports and thus the distance travelled is greater. However, this is not the only option for compliance with the new regulations. From our readings in Chapter 6 we conclude that scrubbers and LNG propulsion would enable ships to use cheaper fuels than marine gas oil, in exchange for investing in these technologies. Would the savings gained by these new technologies be enough to justify the investment? To answer this question, in Chapter 7 we compare the three alternatives and calculate both the cost of investment and the operating costs associated with scrubbers or LNG propulsion for a selection of 53 categories of ships. Investing in scrubbers is more advisable for large ships with no fixed runs. However, for smaller ships with regular runs to ports with good LNG supply infrastructure, investing in LNG propulsion would be the best choice. In the case of total transit time within an ECA and the pricing scenario seen in 2014, the best payback periods on investments in scrubbers are for large cruise ships (100,000 gross tonnage), which would recoup their investment in 0.62 years; large container ships, with a 0.64 year payback period for those over 8,000 TEUs and 0.71 years for the 5,000-8,000 TEU category; and finally, large oil tankers over 200,000 deadweight tonnage, which would recoup their investment in 0.82 years. However, investing in scrubbers would have a longer payback period for smaller ships, up to 5 years or more for oil tankers and chemical tankers under 5,000 deadweight tonnage. In the case of LNG propulsion, a possible investment is more favourable and the payback period is shorter for smaller ship classes, such as ferries, cruise ships and ROROs. We now take the case of a ship transporting clean products, already built, with a deadweight tonnage of 38,500, and consider the viability of investing in installing a scrubber or changing to LNG propulsion, starting in 2015. The two variables with the greatest impact on the advisability of the investment are how long the ship is at sea within emission control areas (ECA) and the future price scenario of MGO, HSFO and LNG. For this analysis, we studied each investment, calculating a battery of merit conditions such as the payback period, IRR, NPV and variations in the investors' liquid assets. We then calculated the minimum boundary conditions to ensure the investment was not only acceptable but advisable for the investor shipowner. Thus, for the average price differential of 264.35 USD/tonne between HSFO and MGO during 2014, investors' return on investment (IRR) in scrubbers would be the same as the required opportunity cost of 9.6%, for values of over 56% ship transit time in ECAs. For the case of investing in LNG and the average price differential between MGO and LNG of 353.8 USD/tonne FOE in 2014, the ship must spend 64.8% of its time in ECAs for the investment to be advisable. For an estimated 60% of time in an ECA, the internal rate of return (IRR) for investors equals the required opportunity cost of 9.6%, based on a price difference of 244.73 USD/tonne between the two alternative fuels, marine gas oil (MGO) and fuel oil (HSFO). An investment in LNG propulsion would require a price differential between MGO and LNG of 382.3 USD/tonne FOE. Thus, for a 38,500 DWT ship carrying clean products, investing in retrofitting to install a scrubber is more advisable than converting to LNG, with an internal rate of return (IRR) for investors of 12.77%, compared to 6.81% for investing in LNG. Both calculations were based on a ship which spends 60% of its time at sea in an ECA and a scenario of average 2014 prices. However, for newly-built ships, investments in either of these technologies from 2025 would be advisable. Here, the shipowner must pay particular attention to the specific characteristics of their ship, the type of operation, and the infrastructure for supplying fuel and handling discharges in the ports where it will usually operate. Thus, while the consequences of switching to marine gas oil in order to comply with the MARPOL regulations are certainly alarming, there are alternatives to marine gas oil, with smaller increases in the costs of maritime transport, while maintaining the benefits to society this law is intended to provide. Indeed, as we have demonstrated, the options which appear most favourable from a financial viewpoint are conversion to LNG for small ships and regular runs (cruise ships, ferries, ROROs), and installing scrubbers for large ships. Unfortunately, however, these investments are not being made, due to the high uncertainty associated with these two markets, which increases business risk, both for shipowners and for the providers of these new technologies. This means we are seeing considerable reluctance regarding these two options among the private sector. This high level of risk can be lowered only by encouraging joint efforts by the public and private sectors to overcome these barriers to entry into the market for scrubbers and LNG, which could reduce the environmental externalities of emissions without affecting the competitiveness of marine transport. Our opinion is that the same bodies which approved this law must help the shipping industry invest in these technologies, drive research on them, and promote the creation of a port infrastructure which is adapted to supply LNG and handle the discharges from scrubber systems. At present there are several European incentive programmes, such as TEN-T and Marco Polo, but we do not consider these to be sufficient. For its part, the International Maritime Organization should confirm as soon as possible whether the new lower sulphur levels in fuels will be postponed until 2025. This would eliminate the great uncertainty among shipowners, oil companies and ports regarding the timeline for beginning their future investments and for studying their viability.

Energy Union: Can Europe learn from Japan’s joint gas purchasing? CEPS Commentary, 11 December 2014

Japan’s two major electricity producing companies reached a preliminary agreement recently to establish a joint venture for the procurement of fossil fuel resources, primarily liquefied natural gas (LNG). The authors of this commentary ask whether this commercial initiative could serve as an example to Europe of how to increase the negotiating power of individual EU member states. They conclude that a private joint gas procurement company may indeed offer a solution for EU member states in Central and Eastern Europe, instead of yet another source of confrontation. Given the political volatility in the region, it could well be the key to balancing out the need for security of supply with an offer to guarantee security of demand, thereby creating the climate for stable commercial relations.

Europe's LNG Strategy in the Wider EU Gas Market. CEPS Policy Brief No. 333, October 2015

In its Communication on an Energy Union published in February 2015, the European Commission committed itself to “explore the full potential of liquefied natural gas (LNG), including as a back-up in crisis situations when insufficient gas is coming into Europe through the existing pipeline system” and to address the potential of gas storage in Europe by developing a comprehensive LNG and storage strategy by the end of 2015 or early in 2016. This is a comprehensible move in the current context. Geopolitical tensions between the EU and Russia explain the EU’s willingness to further diversify its supply sources of natural gas to reinforce its long-term energy security on the one hand, and to strengthen its ability to solve future crises on the other hand. Moreover, the current market dynamics could support diversification towards LNG. Increasing the flexibility of LNG trade, decreasing LNG prices and LNG charter rates and an apparent price convergence between the European and the Asia-Pacific LNG imports would all reinforce the economic viability of such a strategy. This Policy Brief makes three main points: • For the LNG and gas storage strategy to work, it needs to be embedded in the realities of the natural gas market. • The key to a successful LNG strategy is to develop sufficient infrastructure. • The LNG strategy needs an innovation component.

Framing the Gas Market Uncertainty in Russian Gas Export Policy: The Role of Underlying Ideas

Gas suppliers including Russia are facing the gas market uncertainty caused by the fast growing development of shale gas and liquefied natural gas (LNG). Given that Russia is one of the key energy suppliers in the world, Russian energy policy is intensively studied. However, the majority of the researches focus on the conventional gas sector and very few focus on the unconventional gas sector such as shale gas and LNG. In this light, this thesis aims at examining how the gas market uncertainty is framed in Russian gas export policy as well as discover how the interaction between underlying ideas and the policy frames informs policymaking. After analyzing Russian official documents, three policy frames were identified: shale gas—competition frame, LNG—cooperation frame and cooperation—competition frame. The shale gas—competition frame emphasizes the confrontation with the shale revolution in the USA. The LNG—cooperation frame rests on the idea of building cooperation with the Asia-Pacific region by the LNG trade. The cooperation—competition frame describes the oscillating Russia-EU relationship. Both the economic and ecological dimensions in the policy environment enable these three policy frames. However, the cooperation frame is constrained by the physical dimension since Russia has only one LNG facility in use. The institutional dimension underpins the idea of competition in the cooperation—competition frame. The reason is because of the divergent perspectives between Russia and the EU regarding regulations and market liberalizations. In sum, the result is different from the traditional geopolitical frame which depicts Russia as an energy superpower. Instead, this thesis suggests that Russia is shifting the priority from political interests to business interests in Russian gas export policy, particularly in the domain of shale gas and LNG.

Percepción de los trabajadores acerca de la seguridad en el trabajo en una empresa del sector de gas natural en Casanare

Introducción: La percepción puede ser considerada principalmente como un grupo de procesos internos en las personas que genera en los observadores una representación mental del entorno. Percibir es adelantarse al suceso, a lo que puede llegar a suceder, determinando lo que puede ser un peligro a nuestra seguridad y salud. Objetivo: El presente estudio tiene como objetivo determinar la percepción de los trabajadores acerca de la seguridad en el trabajo en áreas de procesos automatizados y mecánicas en una empresa del sector de gas natural en el departamento de Casanare, Colombia 2016. Metodología: Se llevó a cabo un estudio de corte transversal en 50 trabajadores de una empresa del sector de gas natural en Casanare. Se uttilizó el Cuestionario nórdico NOSACQ-50-Spanish, instrumento validado para evaluar la percepción acerca de la seguridad y salud en el lugar de trabajo. Se incluyeron variables sociodemográficas, laborales y las relacionadas con la percepción de la seguridad en el lugar del trabajo. Para el análsiis estadistico se calcularon medidas de tendencia central y de dispersión. El estudio de la percepción de seguridad tuvo como puntos de corte: < 2,5 mala percepción y > 2,5 buena percepción. Se emplearon pruebas de asociación X2 o test exacto de Fisher (valores esperados <5) y medidas de asociación OR con sus intervalos de confianza del 95% y se usaron modelos de regresión lineal. Resultados: El total de trabajadores fue de 50 personas, el 76% correspondió al sexo masculino y la mayor distribución se presentó en áreas mecánicas con 52% frente al 48% que se encontró en áreas automatizadas. Se halló asociación estadísticamente significativa entre las variables sociodemográficas área/sexo (Pr = 0,016), indicando que a los trabajadores de sexo femenino se les ubican en el área mecánica mientras que los de sexo masculino, laboran en todas las áreas sin darle relevancia al género. También se encontró asociación con las variables área/año de nacimiento (Pr =0.022), indicando que en el área automatizada se dejan profesionales con promedio de edad de 32 años, por el tipo de requisitos en competencias que exigen para ejecutar las labores. Para las demás variables ocupacionales que evaluaron la percepción de seguridad frente al trabajo, no se encontró asociación significativa. Conclusión: Los resultados permiten realizar acciones en pro de mejorar la percepción de los trabajadores dentro de la organización. Se podrán desarrollar programas de seguridad y salud en el trabajo, que respondan de manera efectiva a los peligros laborales detectados.

Integrated Diagnosis and Prognosis Model for High Pressure LNG Pump

In condition-based maintenance (CBM), effective diagnostics and prognostics are essential tools for maintenance engineers to identify imminent fault and to predict the remaining useful life before the components finally fail. This enables remedial actions to be taken in advance and reschedules production if necessary. This paper presents a technique for accurate assessment of the remnant life of machines based on historical failure knowledge embedded in the closed loop diagnostic and prognostic system. The technique uses the Support Vector Machine (SVM) classifier for both fault diagnosis and evaluation of health stages of machine degradation. To validate the feasibility of the proposed model, the five different level data of typical four faults from High Pressure Liquefied Natural Gas (HP-LNG) pumps were used for multi-class fault diagnosis. In addition, two sets of impeller-rub data were analysed and employed to predict the remnant life of pump based on estimation of health state. The results obtained were very encouraging and showed that the proposed prognosis system has the potential to be used as an estimation tool for machine remnant life prediction in real life industrial applications.

Improved design method for biosecurity surveillance and early detection of non-indigenous rats

A recent advance in biosecurity surveillance design aims to benefit island conservation through early and improved detection of incursions by non-indigenous species. The novel aspects of the design are that it achieves a specified power of detection in a cost-managed system, while acknowledging heterogeneity of risk in the study area and stratifying the area to target surveillance deployment. The design also utilises a variety of surveillance system components, such as formal scientific surveys, trapping methods, and incidental sightings by non-biologist observers. These advances in design were applied to black rats (Rattus rattus) representing the group of invasive rats including R. norvegicus, and R. exulans, which are potential threats to Barrow Island, Australia, a high value conservation nature reserve where a proposed liquefied natural gas development is a potential source of incursions. Rats are important to consider as they are prevalent invaders worldwide, difficult to detect early when present in low numbers, and able to spread and establish relatively quickly after arrival. The ‘exemplar’ design for the black rat is then applied in a manner that enables the detection of a range of non-indigenous species of rat that could potentially be introduced. Many of the design decisions were based on expert opinion as data gaps exist in empirical data. The surveillance system was able to take into account factors such as collateral effects on native species, the availability of limited resources on an offshore island, financial costs, demands on expertise and other logistical constraints. We demonstrate the flexibility and robustness of the surveillance system and discuss how it could be updated as empirical data are collected to supplement expert opinion and provide a basis for adaptive management. Overall, the surveillance system promotes an efficient use of resources while providing defined power to detect early rat incursions, translating to reduced environmental, resourcing and financial costs.

Asset life prediction and maintenance decision-making using a non-linear non-Gaussian state space model

Estimating and predicting degradation processes of engineering assets is crucial for reducing the cost and insuring the productivity of enterprises. Assisted by modern condition monitoring (CM) technologies, most asset degradation processes can be revealed by various degradation indicators extracted from CM data. Maintenance strategies developed using these degradation indicators (i.e. condition-based maintenance) are more cost-effective, because unnecessary maintenance activities are avoided when an asset is still in a decent health state. A practical difficulty in condition-based maintenance (CBM) is that degradation indicators extracted from CM data can only partially reveal asset health states in most situations. Underestimating this uncertainty in relationships between degradation indicators and health states can cause excessive false alarms or failures without pre-alarms. The state space model provides an efficient approach to describe a degradation process using these indicators that can only partially reveal health states. However, existing state space models that describe asset degradation processes largely depend on assumptions such as, discrete time, discrete state, linearity, and Gaussianity. The discrete time assumption requires that failures and inspections only happen at fixed intervals. The discrete state assumption entails discretising continuous degradation indicators, which requires expert knowledge and often introduces additional errors. The linear and Gaussian assumptions are not consistent with nonlinear and irreversible degradation processes in most engineering assets. This research proposes a Gamma-based state space model that does not have discrete time, discrete state, linear and Gaussian assumptions to model partially observable degradation processes. Monte Carlo-based algorithms are developed to estimate model parameters and asset remaining useful lives. In addition, this research also develops a continuous state partially observable semi-Markov decision process (POSMDP) to model a degradation process that follows the Gamma-based state space model and is under various maintenance strategies. Optimal maintenance strategies are obtained by solving the POSMDP. Simulation studies through the MATLAB are performed; case studies using the data from an accelerated life test of a gearbox and a liquefied natural gas industry are also conducted. The results show that the proposed Monte Carlo-based EM algorithm can estimate model parameters accurately. The results also show that the proposed Gamma-based state space model have better fitness result than linear and Gaussian state space models when used to process monotonically increasing degradation data in the accelerated life test of a gear box. Furthermore, both simulation studies and case studies show that the prediction algorithm based on the Gamma-based state space model can identify the mean value and confidence interval of asset remaining useful lives accurately. In addition, the simulation study shows that the proposed maintenance strategy optimisation method based on the POSMDP is more flexible than that assumes a predetermined strategy structure and uses the renewal theory. Moreover, the simulation study also shows that the proposed maintenance optimisation method can obtain more cost-effective strategies than a recently published maintenance strategy optimisation method by optimising the next maintenance activity and the waiting time till the next maintenance activity simultaneously.

Machine prognostics based on health state probability estimation

The ability to accurately predict the remaining useful life of machine components is critical for machine continuous operation and can also improve productivity and enhance system’s safety. In condition-based maintenance (CBM), maintenance is performed based on information collected through condition monitoring and assessment of the machine health. Effective diagnostics and prognostics are important aspects of CBM for maintenance engineers to schedule a repair and to acquire replacement components before the components actually fail. Although a variety of prognostic methodologies have been reported recently, their application in industry is still relatively new and mostly focused on the prediction of specific component degradations. Furthermore, they required significant and sufficient number of fault indicators to accurately prognose the component faults. Hence, sufficient usage of health indicators in prognostics for the effective interpretation of machine degradation process is still required. Major challenges for accurate longterm prediction of remaining useful life (RUL) still remain to be addressed. Therefore, continuous development and improvement of a machine health management system and accurate long-term prediction of machine remnant life is required in real industry application. This thesis presents an integrated diagnostics and prognostics framework based on health state probability estimation for accurate and long-term prediction of machine remnant life. In the proposed model, prior empirical (historical) knowledge is embedded in the integrated diagnostics and prognostics system for classification of impending faults in machine system and accurate probability estimation of discrete degradation stages (health states). The methodology assumes that machine degradation consists of a series of degraded states (health states) which effectively represent the dynamic and stochastic process of machine failure. The estimation of discrete health state probability for the prediction of machine remnant life is performed using the ability of classification algorithms. To employ the appropriate classifier for health state probability estimation in the proposed model, comparative intelligent diagnostic tests were conducted using five different classifiers applied to the progressive fault data of three different faults in a high pressure liquefied natural gas (HP-LNG) pump. As a result of this comparison study, SVMs were employed in heath state probability estimation for the prediction of machine failure in this research. The proposed prognostic methodology has been successfully tested and validated using a number of case studies from simulation tests to real industry applications. The results from two actual failure case studies using simulations and experiments indicate that accurate estimation of health states is achievable and the proposed method provides accurate long-term prediction of machine remnant life. In addition, the results of experimental tests show that the proposed model has the capability of providing early warning of abnormal machine operating conditions by identifying the transitional states of machine fault conditions. Finally, the proposed prognostic model is validated through two industrial case studies. The optimal number of health states which can minimise the model training error without significant decrease of prediction accuracy was also examined through several health states of bearing failure. The results were very encouraging and show that the proposed prognostic model based on health state probability estimation has the potential to be used as a generic and scalable asset health estimation tool in industrial machinery.

An exploration of the reasons why adolescents engage in traditional and cyber bullying

This study explored the reasons underlying adolescents’ perceptions of why their peers engage in bullying in the real and the cyber world. While there has been much research on why bullies engage in such behaviour, ranging from personality characteristics to social or familial reasons, the perceptions of young people on the motives of cyberbullies has not been researched. A new instrument, based on interviews and a literature review was piloted to measure young people’s perceptions of why their peers engage in both traditional and cyberbullying behaviour, according to their role in bullying. Four hundred students were surveyed in three co-educational independent secondary schools. A comparison between perceptions of bullies’ motives in traditional and cyberbullying was made. Implications for interventions with bullies are discussed.

Machine prognostics based on health state estimation using SVM

The ability to accurately predict the remaining useful life of machine components is critical for machine continuous operation, and can also improve productivity and enhance system safety. In condition-based maintenance (CBM), maintenance is performed based on information collected through condition monitoring and an assessment of the machine health. Effective diagnostics and prognostics are important aspects of CBM for maintenance engineers to schedule a repair and to acquire replacement components before the components actually fail. All machine components are subjected to degradation processes in real environments and they have certain failure characteristics which can be related to the operating conditions. This paper describes a technique for accurate assessment of the remnant life of machines based on health state probability estimation and involving historical knowledge embedded in the closed loop diagnostics and prognostics systems. The technique uses a Support Vector Machine (SVM) classifier as a tool for estimating health state probability of machine degradation, which can affect the accuracy of prediction. To validate the feasibility of the proposed model, real life historical data from bearings of High Pressure Liquefied Natural Gas (HP-LNG) pumps were analysed and used to obtain the optimal prediction of remaining useful life. The results obtained were very encouraging and showed that the proposed prognostic system based on health state probability estimation has the potential to be used as an estimation tool for remnant life prediction in industrial machinery.

Bearing fault prognosis based on health state probability estimation

In condition-based maintenance (CBM), effective diagnostic and prognostic tools are essential for maintenance engineers to identify imminent fault and predict the remaining useful life before the components finally fail. This enables remedial actions to be taken in advance and reschedule of production if necessary. All machine components are subjected to degradation processes in real environments and they have certain failure characteristics which can be related to the operating conditions. This paper describes a technique for accurate assessment of the remnant life of bearings based on health state probability estimation and historical knowledge embedded in the closed loop diagnostics and prognostics system. The technique uses the Support Vector Machine (SVM) classifier as a tool for estimating health state probability of machine degradation process to provide long term prediction. To validate the feasibility of the proposed model, real life fault historical data from bearings of High Pressure-Liquefied Natural Gas (HP-LNG) pumps were analysed and used to obtain the optimal prediction of remaining useful life (RUL). The results obtained were very encouraging and showed that the proposed prognosis system based on health state probability estimation has the potential to be used as an estimation tool for remnant life prediction in industrial machinery.

Intelligent reliability analysis with incomplete covariates

The reliability analysis is crucial to reducing unexpected down time, severe failures and ever tightened maintenance budget of engineering assets. Hazard based reliability methods are of particular interest as hazard reflects the current health status of engineering assets and their imminent failure risks. Most existing hazard models were constructed using the statistical methods. However, these methods were established largely based on two assumptions: one is the assumption of baseline failure distributions being accurate to the population concerned and the other is the assumption of effects of covariates on hazards. These two assumptions may be difficult to achieve and therefore compromise the effectiveness of hazard models in the application. To address this issue, a non-linear hazard modelling approach is developed in this research using neural networks (NNs), resulting in neural network hazard models (NNHMs), to deal with limitations due to the two assumptions for statistical models. With the success of failure prevention effort, less failure history becomes available for reliability analysis. Involving condition data or covariates is a natural solution to this challenge. A critical issue for involving covariates in reliability analysis is that complete and consistent covariate data are often unavailable in reality due to inconsistent measuring frequencies of multiple covariates, sensor failure, and sparse intrusive measurements. This problem has not been studied adequately in current reliability applications. This research thus investigates such incomplete covariates problem in reliability analysis. Typical approaches to handling incomplete covariates have been studied to investigate their performance and effects on the reliability analysis results. Since these existing approaches could underestimate the variance in regressions and introduce extra uncertainties to reliability analysis, the developed NNHMs are extended to include handling incomplete covariates as an integral part. The extended versions of NNHMs have been validated using simulated bearing data and real data from a liquefied natural gas pump. The results demonstrate the new approach outperforms the typical incomplete covariates handling approaches. Another problem in reliability analysis is that future covariates of engineering assets are generally unavailable. In existing practices for multi-step reliability analysis, historical covariates were used to estimate the future covariates. Covariates of engineering assets, however, are often subject to substantial fluctuation due to the influence of both engineering degradation and changes in environmental settings. The commonly used covariate extrapolation methods thus would not be suitable because of the error accumulation and uncertainty propagation. To overcome this difficulty, instead of directly extrapolating covariate values, projection of covariate states is conducted in this research. The estimated covariate states and unknown covariate values in future running steps of assets constitute an incomplete covariate set which is then analysed by the extended NNHMs. A new assessment function is also proposed to evaluate risks of underestimated and overestimated reliability analysis results. A case study using field data from a paper and pulp mill has been conducted and it demonstrates that this new multi-step reliability analysis procedure is able to generate more accurate analysis results.