The present invention relates to a liquefied gas production facility.
Liquefied gas production facilities are facilities for producing liquefied natural gas by refining and liquefying liquefied natural gas (LNG), liquefied petroleum gas (LPG), and synthetic natural gas (SNG), which are natural gases. Examples of liquefied gas production facilities include an LNG production facility, an LPG production facility, and an SNG production facility.
A refrigerant used in the liquefaction step is circulated by a vapor compression refrigeration cycle. In the refrigeration cycle, a gas refrigerant is compressed by a compressor, and the compressed refrigerant is cooled by a condenser, so that the refrigerant is liquefied. Then, the pressure and temperature of the refrigerant are reduced by an expansion valve or the like, and the refrigerant is caused to exchange heat with natural gas, so that the gas refrigerant is generated again. Thus, the natural gas is liquefied by the refrigeration cycle that utilizes power of the compressor and heat exchange in the condenser.
Refrigeration cycles of LNG production facilities include water-cooling or air-cooling condensers. Water-cooling condensers often use seawater to cool cooling water. However, the influence of the seawater heated as a result of heat exchange raises environmental concerns, and the number of LNG production facilities including air-cooling condensers has recently increased.
The liquefaction step is essential not only in LNG production facilities but also in LPG production facilities and SNG production facilities.
As illustrated in
In the LNG production facility, the air fin coolers are arranged at least along a single straight line so as to form a rectangular shape as a whole. The LNG production facility has a rectangular shape as a whole since facilities related thereto are arranged on both sides of the pipe rack having the air fin coolers at the top.
In recent years, the size of LNG production facilities has been increased. Accordingly, one or two LNG production facilities are generally constructed at the initial stage of a project, and another LNG production facility (facilities) is additionally constructed in accordance with the increase in demand. The LNG production facilities that are constructed as necessary in accordance with the progress of the project are formed as modules of substantially the same type, and are referred to as, for example, “LNG trains”, “LNG modules”, or “LNG units”.
In
PTL 1: Japanese Unexamined Patent Application Publication No. 2005-147568
PTL 2: International Publication No. 2007/112498
The LNG modules 20 illustrated in
This is because since LNG production facilities have a rectangular shape as described above, the area for the LNG plants (area denoted by 1100 in
One or more embodiments of the invention provide the following.
A liquefied gas production facility according to one or more embodiments of the present invention includes a plurality of liquefied gas production units (or “liquefied gas producers”) which produce liquefied gas by removing an unnecessary substance and liquefying feed gas containing methane as a main component.
Each liquefied gas production unit includes a heat exchanger that cools the feed gas by causing the feed gas to exchange heat with a refrigerant, a compressor that compresses the refrigerant that is evaporated as a result of the heat exchange with the feed gas, an air fin cooler unit that cools the compressed refrigerant, and an expander unit (or “expander”) that cools the cooled refrigerant through adiabatic expansion.
The air fin cooler unit includes a plurality of air fin coolers that are arranged along at least one straight line so as to form a first rectangular shape as a whole. In each liquefied gas production unit, each of the heat exchanger, the compressor, and the expander unit is arranged at a side of the air fin cooler unit in a longitudinal direction of the first rectangular shape so as to form a second rectangular shape as a whole.
When two of the liquefied gas production units that are adjacent to each other are first and second liquefied gas production units, the first and second liquefied gas production units are arranged so as to be shifted from each other in a longitudinal direction of the second rectangular shape.
As a result, reduction in the amount of LNG production due to external HAR can be significantly improved.
In a conventional liquefied gas production facility, to reduce the cost by minimizing the area in which the production facility is located, a plurality of liquefied gas production units are arranged in parallel so that the liquefied gas production facility has a rectangular shape as a whole. Therefore, there has been no arrangement according to one or more embodiments of the present invention in which, among the liquefied gas production units, the first and second liquefied gas production units that are adjacent to each other are shifted from each other in the longitudinal direction of the second rectangular shape. Also, there has been no motivation to adopt such an arrangement.
LNG production facilities will be described as an example of the liquefied gas production units. The LNG production facilities are referred to also as “LNG trains”, “LNG modules”, or “LNG units”, and correspond to LNG trains 1 to 3 illustrated in
Components included in each liquefied gas production unit include, for example, a heat exchanger, a compressor, an air fin cooler unit, an expander unit, etc. and any other components that are generally included in LNG production facilities may be additionally included.
Among the liquefied gas production units, the first and second liquefied gas production units may be arranged so as to be shifted from each other in the longitudinal direction of the second rectangular shape such that hot air discharged from the air fin cooler unit of the first liquefied gas production unit does not accumulate in a space between the air fin cooler unit of the first liquefied gas production unit and the air fin cooler unit of the second liquefied gas production unit.
A ratio X/L of a distance (X) by which the first and second liquefied gas production units are shifted from each other in the longitudinal direction of the second rectangular shape to a length (L) of the first and second liquefied gas production units may be equal to or greater than 0.2, 0.5, 0.6, or 1.
In the liquefied gas production facility according to one or more embodiments of the present invention, the liquefied gas production units may be provided with respective utility facilities that are arranged at a side of the liquefied gas production units in a direction opposite to a direction in which the liquefied gas production units are shifted.
In one or more embodiments of the liquefied gas production facility according to the present invention, a ratio X/L of a distance (X) by which the first and second liquefied gas production units may be shifted from each other in the longitudinal direction of the second rectangular shape to a length (L) of the first and second liquefied gas production units is equal to or greater than 1, or 1.
In addition, the liquefied gas production units may be arranged along a single straight line that extends in the longitudinal direction of the second rectangular shape.
In the following description, [1] LNG Production Facilities, [2] LNG Production Facilities Arranged in Parallel, [3] LNG Production Facilities according to one or more embodiments of the invention, [4] Temperature Increase in LNG Production Facilities according to one or more embodiments of the invention, [5] Weather Analysis Models, [6] Computational Fluid Analysis, [7] Functional Configuration and Hardware Configuration of Weather Predicting Apparatus, and [8] Reproduction of Weather Information around LNG Production Facility will be described in that order with reference to the drawings.
The air fin cooler 100A cools the gas heated by and discharged from the compressor 110A with a heat exchanger 102A by using air sucked in through a suction unit 101A (not shown) disposed in a lower section thereof, and discharges the air through a discharge unit 103A (not shown) disposed in an upper section thereof. The compressed gas cooled by the air fin cooler 100A flows into a cooling device 120, where the gas expands and the pressure thereof is reduced. Accordingly, the temperature of the gas is reduced, and a medium to be cooled is cooled. After being depressurized and heated, the gas is returned to the compressor 110A again. According to an embodiment, the medium to be cooled is, for example, hydrocarbon gas such as methane or ethane, and is liquefied by being cooled by the cooling device 120.
As illustrated in
L [m]=260
X [m]>0
0≦X1 [m]<260
Y [m]=240
In the above expressions, L is the length of the LNG trains in the longitudinal direction, X is the distance by which the LNG trains are shifted in the longitudinal direction (hereinafter referred to also as “offset distance”), and Y is the distance between the trains. The wind direction “East” is the direction of east wind that blows from right to left in
Table 1 shows components of each LNG train.
As is clear from
The CFD analysis is performed by setting the wind direction to such a direction that hot air easily remains in the spaces between the trains that are shifted from each other in the longitudinal direction. Also in this case, hot air does not easily remain since the distances between the centers of the trains are greater than those in the parallel arrangement illustrated in
Next, temperature change that occurs in each of the LNG trains 1 to 3 when the offset ratio “X/L” is changed will be described.
When the LNG trains are shifted from each other in the longitudinal direction, the total area required to place the LNG production facilities increases, and the lengths of pipes that connect the LNG trains and utility facilities also increase. Therefore, there is a possibility that the cost will be increased compared to the conventional case where the plot area is minimized. In the example illustrated in
When the LNG trains are shifted in the longitudinal direction as described above, the influence of the external HAR can be reduced and the amount of LNG production can be increased. In addition, the air fin coolers can optimally arranged so as to prevent the accumulation of hot air.
An example in which a weather predicting apparatus performs the above-described computational fluid analysis by using output data of weather analysis models mentioned below will now be described.
When measuring the temperature and wind direction in an area in which a liquefied gas production facility is to be located, it is necessary to carry out the measurement of the temperature and wind direction over multiple years since the liquefied gas production facility needs to be designed in consideration of the influence of annual changes, such as whether or not the El Nino phenomenon is observed. However, if data of multiple years is not available, it is difficult to carry out the measurement of the temperature and wind direction that takes multiple years. Therefore, the liquefied gas production facility needs to be designed on the basis of low-precision environmental data.
Japanese Unexamined Patent Application Publication No. 2009-62983 discloses a method of estimating an amount of gas emitted from a gas turbine. Since the amount of gas emitted from the gas turbine is a function of weather conditions (temperature, atmospheric pressure, and humidity) at the site, the estimation is performed by generating an emission amount output report including emission levels on the basis of a plurality of items of weather data. This method is used to prevent lean blowout of a combustion system in an operation of reducing the amount of emission of NOx by taking countermeasures in advance by utilizing the weather information. Japanese Unexamined Patent Application Publication No. 2010-60443 discloses a weather forecast based on weather simulations, and Japanese Unexamined Patent Application Publication No. 2005-283202 discloses a technology concerning a prediction of diffusion of radioactive materials and the like. The purpose of these technologies is to predict future weather conditions, such as to forecast the weather or to predict the diffusion of dangerous materials, and no technology for predicting weather on the basis of weather simulations in order to design a liquefied gas production facility is disclosed.
Weather analysis models include various physical models, and weather simulations can be carried out by performing weather prediction calculations with high spatial resolution by analyzing the physical models with a computer. Weather simulations have an advantage over field observation in that weather information can be estimated with high spatial resolution.
To carry out weather simulations, it is necessary to obtain initial values and boundary value data from a weather database downloaded from a network. To design an LNG production facility, although the spatial resolution is not sufficiently high, National Centers for Environmental Prediction (NCEP) data, which is global observation analysis data provided by, for example, National Oceanic and Atmospheric Administration (NOAA) and reanalyzed every six hours, may be used as weather information concerning a wide area including an area in which the LNG production facility is to be located (hereinafter referred to as “wide-area weather information”). The NCEP data as the wide-area weather information includes weather elements (wind direction, wind speed, turbulence energy, solar radiation, atmospheric pressure, precipitation, humidity, and temperature) on three-dimensional grid points obtained when the world is divided into grid cells (grid spacing is 1.5 to 400 km), and are updated every six hours. In the present embodiment, the LNG production facility needs to be designed in consideration of the influence of annual changes, such as whether or not the El Nino phenomenon is observed. Accordingly, wide-area weather information (for example, the above-described NCEP data) of multiple years is used as the initial values and boundary value data.
For example, the physical models included in the weather analysis models includes Weather Research & Forecasting (WRF) model. The WRF model includes various physical models, such as radiation models for calculating the amounts of solar radiation and atmospheric radiation, turbulence models for expressing turbulent mixing layers, and ground surface models for calculating the ground surface temperature, soil temperature, amount of soil moisture, amount of snowfall, surface flux, etc.
The weather analysis models include partial differential equations expressing the motion of fluid in the atmosphere, such as the Navier-Stokes equations concerning the motion of fluid and empirical equations derived from atmospheric observation results, and partial differential equations expressing the law of conservation of mass and energy. Weather simulations can be carried out by forming simultaneous equations of these differential equations and solving the simultaneous equations. Thus, the differential equations based on the weather analysis models for conducting the weather simulations are solved with the use of the wide-area weather information as the input data of initial values and boundary values, so that weather information of the location of the LNG production facility, which is related to an area having a narrower spatial resolution than that of the wide-area weather information, can be generated. The thus-generated weather information is referred to as “narrow-area weather information”.
Computational fluid analysis is a numerical analysis and simulation technique in which equations concerning the motion of fluid are solved by a computer and flow is observed by applying computational fluid dynamics. More specifically, by using the Navier-Stokes equations, which are fluid dynamics equations, the state of fluid is spatially calculated by the finite volume method. The procedure for the computational fluid analysis includes a step of creating 3D model data reflecting the structure of a facility to be examined, a step of creating a grid for dividing an area to be examined into grid cells that serve as smallest calculation units, a step of causing the computer to receive initial values and boundary values and solve the fluid dynamics equations for each grid cell, and a step of outputting various values (flow velocity, pressure, etc.) obtained from the analysis results as images for, for example, contour display and vector display.
With the computational fluid analysis, fluid simulations can be performed with a resolution higher than that of the weather analysis models. Therefore, it is possible to provide information concerning airflow phenomena unique to the space scale, such as small changes in the wind speed and wind direction, airflow turbulence on the scale of several centimeters to several meters, and changes in the airflow around a building, which are very difficult to obtain by the weather simulations.
The weather predicting apparatus calculates, based on the weather analysis models and computational fluid analysis, the narrow-area weather information of a narrow area in which the LNG production facility is to be located.
The processing section 14 executes the weather analysis program 901 to perform a weather analysis process in which the narrow-area weather information 803 is generated from the wide-area weather information 801 and stored in the storage section 12. In addition, the processing section 14 executes the computational fluid analysis program 903 to perform a computational fluid process in which the airflow field data 807 is generated from the narrow-area weather information 803 and stored in the storage section 12.
In addition, the processing section 14 executes the layout generating program 909 and outputs the layout data 809 based on the wind direction analysis data 808.
The storage medium 900 may store, as data, the weather database 800, the weather analysis program 901, the computational fluid analysis program 903, the design temperature calculating program 905, the wind-rose generating program 907, and the layout generating program 909 illustrated in
The weather predicting apparatus 90 may be connected to an external server 200 and computers 210 and 220 by a network 40. The computer 210 and the external server 200 may have the same components as those of the weather predicting apparatus 90. For example, the weather predicting apparatus 90 may receive the weather database 800 stored in the server 200 via the network 40. Alternatively, among the programs shown in
Although the above-described weather predicting apparatus 90 is limited to computer hardware, the weather predicting apparatus 90 may instead be a virtual server of a data center. In such a case, the hardware configuration may be such that the programs 901 to 909 are stored in a storage section of the data center and executed by a processing section of the data center, and such that data is output from the data center to a client computer. The external server 200 may include a weather database. In such a case, the weather predicting apparatus 90 may receive the wide-area weather data from the external server 200.
The meteorological field information of the target area A16 in which the LNG production facility 100 is to be located can be determined by using fluid dynamic models. Thus, precise data that reflects the shape of the building and the like can be obtained. Examples of the fluid dynamic models include K·ε, LES, and DNS.
The calculation device according to the present embodiment is only required to acquire detailed data of meteorological field information of the target area. Therefore, it is not necessary to perform the CFD model analysis for all the areas A1 to A15. Accordingly, it is not necessary to spend a large amount of calculation time for the CFD model analysis. By performing only the CFD analysis for the target area, the precision can be increased and the processing time can be reduced.
In
When, for example, an airport or the like is located in the area A3 illustrated in
The topographical features of the area A16 in which the LNG production facility is to be located may be different from those included in the weather information as a result of land leveling, land use, or installation of equipment. In such a case, first narrow-area weather information sets may be recalculated on the basis of topographical information reflecting the effect of the land leveling, land use, or installation of equipment, depending on the arrangement of the LNG production facility. In this case, the weather conditions after the construction of the LNG production facility can be accurately simulated.
As described above, to design a liquefied gas production facility, the weather is predicted by the weather simulations, and the narrow-area weather information is generated. Based on these data, the CFD analyses illustrated in
Accordingly, even when data of multiple years is not available, a liquefied gas production facility with countermeasures against HAR can be designed and constructed.
The above-described embodiments are described merely as typical examples, and combinations, modifications, and variations of constituent features of each embodiment are apparent to a person skilled in the art. It is apparent that a person skilled in the art can make various changes to the above-described embodiments without departing from the principle of the present invention and the scope of the present invention described in the claims.
The entire contents of documents mentioned in this specification and the specification of the Japanese patent application to which this application claims priority under the Paris Convention are entirely incorporated by reference herein.
Number | Date | Country | Kind |
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2012-288965 | Dec 2012 | JP | national |
Filing Document | Filing Date | Country | Kind |
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PCT/JP2013/007682 | 12/27/2013 | WO | 00 |