Abstract: A system and method for growing microalgae capable of mixotrophic metabolism, preferably Chlorella sp. Microalgae grown in the system using the method are able to survive and grow in dark refrigeration, which allows the algae to be stored and transported for application as a live culture. In addition, the microalgae can be grown in sufficient quantities to be sold commercially for application to crops as a biostimulant.

Abstract: A communication plug configured to be mated with a communication outlet. The plug has first contacts configured to physically contact and form electrical connections with second contacts of the outlet. The plug also includes a substrate with wire contacts and first, second, third, and fourth layers. The first layer includes first conductors connecting a first portion of the first contacts with a first portion of the wire contacts. The fourth layer includes second conductors connecting a second portion of the first contacts with a second portion of the wire contacts. The second layer includes a first plurality of capacitor plates electrically connected to first selected ones of the first contacts. The third layer includes a second plurality of capacitor plates electrically connected to second selected ones of the first contacts. Each of the first plurality of capacitor plates forms a capacitor with at least one of the second plurality of capacitor plates.

Abstract: In a method and computer program product for optimal operation of a power plant and a power plant optimising system an optimisation mode (1) minimises a cost function (J[u],J[P]) that comprises a deviation of lifetime of plant components (LTp(?)) from a desired nominal lifetime trajectory (LTn(?)). This is done by, at a given time, determining future values of input values (u(?),P(?)) such as control values (P(?)) or process values (u(?)) to the plant and simulating, in a simulation modulate (2), the behaviour of the plant up to a given future time. Corresponding lifetime values are determined in the simulation, and incorporated in an objective function. The optimisation module (1) minimises the cost function (J[u],J[P]) by varying the input values (u(?),P(?)). As a result, it is possible to operate the plant such that component lifetime (LTp(?)) follows the desired trajectory (LTn(?)).

Abstract: In a method and computer program product for optimizing power plant control values and a power plant optimizing system an optimization module (1) minimizes total plant operation costs while achieving predetermined required output values for produced power and process steam. This is done by, at a given time, determining future values of control values and simulating, in a simulation module (2), the behavior of the plant up to a given future time. Corresponding fuel costs and generated power are determined in the simulation, and incorporated in an objective function. The optimization module (1) minimizes the objective function by varying the control values. According to the invention, a rate of ageing of plant components is determined when simulating the future behavior of the plant, and the objective function to be minimized comprises said rate of ageing.

Abstract: In a method and a computer program product for designing a component for an industrial plant, in particular a thick-walled component for a power plant, by means of an iteration, in which the steps of

Abstract: In a method and computer program product for optimal operation of a power plant and a power plant optimising system an optimisation module (1) minimises a cost function (J[u],J[P]) that comprises a deviation of lifetime of plant components (LTp(&tgr;)) from a desired nominal lifetime trajectory (LTn(&tgr;)). This is done by, at a given time, determining future values of input values (u(&tgr;),P(&tgr;)) such as control values (P(&tgr;)) or process values (u(&tgr;)) to the plant and simulating, in a simulation module (2), the behaviour of the plant up to a given future time. Corresponding lifetime values are determined in the simulation, and incorporated in an objective function. The optimisation module (1) minimises the cost function (J[u],J[P]) by varying the input values (u(&tgr;),P(&tgr;)). As a result, it is possible to operate the plant such that component lifetime (LTp(&tgr;)) follows the desired trajectory (LTn(&tgr;)).

Abstract: In a method and computer program product for optimizing power plant control values and a power plant optimizing system an optimization module (1) minimizes total plant operation costs while achieving predetermined required output values for produced power and process steam. This is done by, at a given time, determining future values of control values and simulating, in a simulation module (2), the behavior of the plant up to a given future time. Corresponding fuel costs and generated power are determined in the simulation, and incorporated in an objective function. The optimization module (1) minimizes the objective function by varying the control values. According to the invention, a rate of ageing of plant components is determined when simulating the future behavior of the plant, and the objective function to be minimized comprises said rate of ageing.