Abstract: The present invention relates to an improved process for the purification of Eltrombopag olamine of compound of formula (2). The present invention also relates to an improved process for the preparation of Eltrombopag olamine intermediates and further conversion to Eltrombopag olamine of a compound of formula (2).

Abstract: A method of producing a hierarchical zeolite composite catalyst. The method including dissolving, in an alkaline solution and in the presence of a surfactant, a catalyst precursor comprising mesoporous zeolite to yield a dissolved zeolite solution, where the mesoporous zeolite comprises large pore mordenite and medium pore ZSM-5. The method also including condensing the dissolved zeolite solution to yield a solid zeolite composite from the dissolved zeolite solution and heating the solid zeolite composite to remove the surfactant. The method further including impregnating the solid zeolite composite with one or more active metals selected from the group consisting of molybdenum, platinum, rhenium, nickel, and combinations thereof to yield impregnated solid zeolite composite and calcining the impregnated solid zeolite composite to produce the hierarchical zeolite composite catalyst.

Abstract: The present invention relates to an improved process for the purification of Eltrombopag olamine of compound of formula (2). The present invention also relates to an improved process for the preparation of Eltrombopag olamine intermediates and further conversion to Eltrombopag olamine of a compound of formula (2).

Abstract: This disclosure relates generally to the methods and systems for fault detection, diagnosis and localization in solar panel network. Conventional fault detection and diagnosis (FDD) techniques for the solar panel network are limited and confined to identifying faults either at voltage level or current level, or to studying one specific fault type at a time. The present disclosure solve the problems of detecting various fault types present inside the solar panel network and identifying associated fault locations, by generating a fault detection, diagnosis and localization (FDDL) model. The convolutional neural network (CNN) model is trained with fault datasets and no-fault datasets covering various fault scenarios and no-fault scenarios respectively, to generate the FDDL model. The plurality of fault datasets and the plurality of no-fault datasets are determined based on the network simulation model of the solar panel network.

Abstract: A method of producing a hierarchical zeolite composite catalyst is provided. The method includes dissolving, in an alkaline solution and in the presence of a surfactant, a catalyst precursor comprising mesoporous zeolite to yield a dissolved zeolite solution, where the mesoporous zeolite comprises large pore ZSM-12 and medium pore ZSM-5. The method also includes condensing the dissolved zeolite solution to yield a solid zeolite composite from the dissolved zeolite solution and heating the solid zeolite composite to remove the surfactant. The method further includes impregnating the solid zeolite composite with one or more active metals selected from the group consisting of platinum, rhenium, rhodium, molybdenum, nickel, tungsten, chromium, ruthenium, gold, and combinations thereof to yield impregnated solid zeolite composite and calcining the impregnated solid zeolite composite to produce the hierarchical zeolite composite catalyst.

Abstract: A method of making BTX (benzene, toluene, xylene) compounds by feeding a heavy reformate stream to a reactor, where the reactor includes a composite zeolite catalyst, that contains a mixture of a desilicated mesoporous mordenite and ZSM-5, and in which the desilicated mesoporous mordenite, the ZSM-5, or both, comprise one or more impregnated metals. The composite zeolite catalyst is able to catalyze the transalkylation reaction and the dealkylation reaction simultaneously to produce the BTX compounds.

Abstract: Example methods, apparatuses, and systems are disclosed for ingesting and consuming data utilizing a trading partner manager. In one example embodiment, an example computing device receives user input comprising a set of data fabric configurations. The computing device then receives, into a data landing zone and based on the data fabric configurations, a data set from a data source. The computing device then ingests, based on the data fabric configurations, the received data set from the data landing zone into a data lake. The computing device then enriches, based on the data fabric configurations, the ingested data set. The computing device then enables data consumption of the ingested data set by the user.

Abstract: The present disclosure provides a method and a system for estimating capacity and usage pattern of behind-the-meter energy storage in electric networks. Conventional techniques on estimating an effective capacity of behind-the-meter energy storage of a consumer, in presence of distributed energy generation units is limited, computationally intensive and provide inaccurate prediction. The present disclosure provides an accurate estimate of the effective capacity and usage pattern of behind-the-meter energy storage of a target consumer utilizing data samples received from a utility in presence of one or more distributed energy generation units, using an energy balance equation with less computation and accurate prediction. Based on accurate estimation of the effective capacity and usage pattern, the utility may plan for proper infrastructure to meet power demands of the consumers.

Abstract: The present invention relates to an improved process for the preparation of macitentan and pharmaceutical acceptable salts thereof. Further present invention also relates to methylene chloride solvate of macitentan and their use in the preparation of pure macitentan.

Abstract: Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause.

Abstract: A system and method for optimizing energy consumption in a plurality of air handling units (AHUs) in a zone is provided. The system comprising a zone thermal unit that is configured to obtain a first set of input parameters including an internal heat gains, a surface convective loads, an intra-zone mixing, a supply air temperature, a second set of input parameters including internal moisture gains, a supply humidity ratio, and a third set of input parameters including an air contaminant concentration and an ambient contaminant concentration of the AHUs and generates a first set of output parameters including a zone temperature, a humidity ratio and an air concentration. The system further includes an optimizer that is configured to generate a second set of output parameters including an optimum combination of AHU flow rates for the AHUs based on at least one of the first set of output parameters.

Abstract: A method of making BTX (benzene, toluene, xylene) compounds by feeding a heavy reformate stream to a reactor, where the reactor includes a composite zeolite catalyst, that contains a mixture of a desilicated mesoporous mordenite and ZSM-5, and in which the desilicated mesoporous mordenite, the ZSM-5, or both, comprise one or more impregnated metals. The composite zeolite catalyst is able to catalyze the transalkylation reaction and the dealkylation reaction simultaneously to produce the BTX compounds.

Abstract: The present invention relates to an improved process for the preparation of macitentan and pharmaceutical acceptable salts thereof. Further present invention also relates to methylene chloride solvate of macitentan and their use in the preparation of pure macitentan.

Abstract: A method of producing a hierarchical zeolite composite catalyst. The method including dissolving, in an alkaline solution and in the presence of a surfactant, a catalyst precursor comprising mesoporous zeolite to yield a dissolved zeolite solution, where the mesoporous zeolite comprises large pore mordenite and medium pore ZSM-5. The method also including condensing the dissolved zeolite solution to yield a solid zeolite composite from the dissolved zeolite solution and heating the solid zeolite composite to remove the surfactant. The method further including impregnating the solid zeolite composite with one or more active metals selected from the group consisting of molybdenum, platinum, rhenium, nickel, and combinations thereof to yield impregnated solid zeolite composite and calcining the impregnated solid zeolite composite to produce the hierarchical zeolite composite catalyst.

Abstract: Systems and methods for liquid-phase oxidation of an aromatic feedstock containing at least one oxidizable aromatic compound may incorporate an oxidation reactor, a separation apparatus in fluidic communication with the oxidation reactor, a solids treatment unit, and a product recovery unit in fluidic communication with the separation apparatus. The oxidation reactor may conduct liquid-phase oxidation of the oxidizable aromatic compound in the aromatic feedstock in the presence of a manganate salt to form a slurry containing liquid product and solid manganese dioxide. The separation apparatus may accept the slurry from the oxidation reactor and separate the liquid component from the solid component. The solids treatment unit accepts the solid component from the separation apparatus, treats the solid component with a basic liquid to oxidize the manganese dioxide in the solid component and form a regenerated manganate salt, which may be recycled back to the oxidation reactor.

Abstract: In some example embodiments, a method of organizing an address mapping table of a flash storage device based on Logical Block Address (LBA) size may comprise: identifying an extent of correlation between the LBA and flash page sizes, wherein the extent of correlation indicates greater or lesser extent; computing a total number of entries in each meta page of the table; and/or organizing the table with the total number of entries. In some example embodiments, a method of organizing an address mapping table of a flash storage device based on LBA size may comprise: determining flash page size of the flash storage device; determining the LBA size; and/or comparing the flash page and LBA sizes. When the flash page size is greater, the table may be organized based on flash page size. When the flash page size is less, the table may be organized based on LBA size.

Abstract: A system and method for optimizing energy consumption in a plurality of air handling units (AHUs) in a zone is provided. The system comprising a zone thermal unit that is configured to obtain a first set of input parameters including an internal heat gains, a surface convective loads, an intra-zone mixing, a supply air temperature, a second set of input parameters including internal moisture gains, a supply humidity ratio, and a third set of input parameters including an air contaminant concentration and an ambient contaminant concentration of the AHUs and generates a first set of output parameters including a zone temperature, a humidity ratio and an air concentration. The system further includes an optimizer that is configured to generate a second set of output parameters including an optimum combination of AHU flow rates for the AHUs based on at least one of the first set of output parameters.

Abstract: Systems and methods for liquid-phase oxidation of an aromatic feedstock containing at least one oxidizable aromatic compound may incorporate an oxidation reactor, a separation apparatus in fluidic communication with the oxidation reactor, a solids treatment unit, and a product recovery unit in fluidic communication with the separation apparatus. The oxidation reactor may conduct liquid-phase oxidation of the oxidizable aromatic compound in the aromatic feedstock in the presence of a manganate salt to form a slurry containing liquid product and solid manganese dioxide. The separation apparatus may accept the slurry from the oxidation reactor and separate the liquid component from the solid component. The solids treatment unit accepts the solid component from the separation apparatus, treats the solid component with a basic liquid to oxidize the manganese dioxide in the solid component and form a regenerated manganate salt, which may be recycled back to the oxidation reactor.

Abstract: Systems and methods for liquid-phase oxidation of an aromatic feedstock containing at least one oxidizable aromatic compound may incorporate an oxidation reactor, a separation apparatus in fluidic communication with the oxidation reactor, a solids treatment unit, and a product recovery unit in fluidic communication with the separation apparatus. The oxidation reactor may conduct liquid-phase oxidation of the oxidizable aromatic compound in the aromatic feedstock in the presence of a manganate salt to form a slurry containing liquid product and solid manganese dioxide. The separation apparatus may accept the slurry from the oxidation reactor and separate the liquid component from the solid component. The solids treatment unit accepts the solid component from the separation apparatus, treats the solid component with a basic liquid to oxidize the manganese dioxide in the solid component and form a regenerated manganate salt, which may be recycled back to the oxidation reactor.

Abstract: A method and system are provided for determining at least one combined forecast value of non-conventional energy resources. An Input/output Interface receives an adaptively selected historical dataset and a current dataset from one or more predictive forecast models and/or measurements. An adaptive forecast module generates one or more variants of machine learning models to model the performance of the one or more predictive forecast models by training the one or more variants of machine learning models on the historical dataset. The adaptive forecast module correlates the current dataset with the historical dataset to adaptively obtain a filtered historical dataset. The adaptive forecast module evaluates the one or more variants of machine learning models on the filtered historical dataset. The adaptive forecast module derives a statistical model to determine the at least one combined forecast value by combining outputs obtained based on the evaluation.