Rashtriya Chemicals and Fertilizers Ltd

Mumbai, India

Rashtriya Chemicals and Fertilizers Ltd

Mumbai, India

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News Article | November 29, 2016
Site: www.newsmaker.com.au

This report studies Soluble Fertilizer in Global market, especially in North America, Europe, China, Japan, Southeast Asia and India, focuses on top manufacturers in global market, with capacity, production, price, revenue and market share for each manufacturer, covering  Agrium Inc.  Apache Corporation  Arab Potash Company Plc  Aries Agro Limited  Coromandel International Limited  Eurochem  Gujarat State Fertilizers & Chemicals Ltd  Haifa Chemicals Limited  Israel Chemicals Ltd (ICL)  K+S Ag  Kuibyshevazot O Jsc  Orascom Construction Industries Sae  Petróleo Brasileiro S.A. – Petrobras  Potash Corp. of Saskatchewan Inc.  Qatar Fertiliser Company (S.A.Q.)  Rashtriya Chemicals and Fertilizers Ltd.  Sichuan Meifeng Chemical Industry Co. Ltd  Sinochem Group  Sociedad Quimica Y Minera Sa (SQM)  The Mosaic Co.  Uralkali Jsc  Yara International Asa  Zuari Global Limited Market Segment by Regions, this report splits Global into several key Regions, with production, consumption, revenue, market share and growth rate of Soluble Fertilizer in these regions, from 2011 to 2021 (forecast), like  North America  Europe  China  Japan  Southeast Asia  India Split by product type, with production, revenue, price, market share and growth rate of each type, can be divided into  Type I  Type II  Type III Split by application, this report focuses on consumption, market share and growth rate of Soluble Fertilizer in each application, can be divided into  Application 1  Application 2  Application 3 Global Soluble Fertilizer Market Research Report 2016  1 Soluble Fertilizer Market Overview  1.1 Product Overview and Scope of Soluble Fertilizer  1.2 Soluble Fertilizer Segment by Type  1.2.1 Global Production Market Share of Soluble Fertilizer by Type in 2015  1.2.2 Type I  1.2.3 Type II  1.2.4 Type III  1.3 Soluble Fertilizer Segment by Application  1.3.1 Soluble Fertilizer Consumption Market Share by Application in 2015  1.3.2 Application 1  1.3.3 Application 2  1.3.4 Application 3  1.4 Soluble Fertilizer Market by Region  1.4.1 North America Status and Prospect (2011-2021)  1.4.2 Europe Status and Prospect (2011-2021)  1.4.3 China Status and Prospect (2011-2021)  1.4.4 Japan Status and Prospect (2011-2021)  1.4.5 Southeast Asia Status and Prospect (2011-2021)  1.4.6 India Status and Prospect (2011-2021)  1.5 Global Market Size (Value) of Soluble Fertilizer (2011-2021) 7 Global Soluble Fertilizer Manufacturers Profiles/Analysis  7.1 Agrium Inc.  7.1.1 Company Basic Information, Manufacturing Base and Its Competitors  7.1.2 Soluble Fertilizer Product Type, Application and Specification  7.1.2.1 Type I  7.1.2.2 Type II  7.1.3 Agrium Inc. Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.1.4 Main Business/Business Overview  7.2 Apache Corporation  7.2.1 Company Basic Information, Manufacturing Base and Its Competitors  7.2.2 Soluble Fertilizer Product Type, Application and Specification  7.2.2.1 Type I  7.2.2.2 Type II  7.2.3 Apache Corporation Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.2.4 Main Business/Business Overview  7.3 Arab Potash Company Plc  7.3.1 Company Basic Information, Manufacturing Base and Its Competitors  7.3.2 Soluble Fertilizer Product Type, Application and Specification  7.3.2.1 Type I  7.3.2.2 Type II  7.3.3 Arab Potash Company Plc Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.3.4 Main Business/Business Overview  7.4 Aries Agro Limited  7.4.1 Company Basic Information, Manufacturing Base and Its Competitors  7.4.2 Soluble Fertilizer Product Type, Application and Specification  7.4.2.1 Type I  7.4.2.2 Type II  7.4.3 Aries Agro Limited Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.4.4 Main Business/Business Overview  7.5 Coromandel International Limited  7.5.1 Company Basic Information, Manufacturing Base and Its Competitors  7.5.2 Soluble Fertilizer Product Type, Application and Specification  7.5.2.1 Type I  7.5.2.2 Type II  7.5.3 Coromandel International Limited Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.5.4 Main Business/Business Overview  7.6 Eurochem  7.6.1 Company Basic Information, Manufacturing Base and Its Competitors  7.6.2 Soluble Fertilizer Product Type, Application and Specification  7.6.2.1 Type I  7.6.2.2 Type II  7.6.3 Eurochem Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.6.4 Main Business/Business Overview  7.7 Gujarat State Fertilizers & Chemicals Ltd  7.7.1 Company Basic Information, Manufacturing Base and Its Competitors  7.7.2 Soluble Fertilizer Product Type, Application and Specification  7.7.2.1 Type I  7.7.2.2 Type II  7.7.3 Gujarat State Fertilizers & Chemicals Ltd Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.7.4 Main Business/Business Overview  7.8 Haifa Chemicals Limited  7.8.1 Company Basic Information, Manufacturing Base and Its Competitors  7.8.2 Soluble Fertilizer Product Type, Application and Specification  7.8.2.1 Type I  7.8.2.2 Type II  7.8.3 Haifa Chemicals Limited Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.8.4 Main Business/Business Overview  7.9 Israel Chemicals Ltd (ICL)  7.9.1 Company Basic Information, Manufacturing Base and Its Competitors  7.9.2 Soluble Fertilizer Product Type, Application and Specification  7.9.2.1 Type I  7.9.2.2 Type II  7.9.3 Israel Chemicals Ltd (ICL) Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.9.4 Main Business/Business Overview  7.10 K+S Ag  7.10.1 Company Basic Information, Manufacturing Base and Its Competitors  7.10.2 Soluble Fertilizer Product Type, Application and Specification  7.10.2.1 Type I  7.10.2.2 Type II  7.10.3 K+S Ag Soluble Fertilizer Capacity, Production, Revenue, Price and Gross Margin (2015 and 2016)  7.10.4 Main Business/Business Overview  7.11 Kuibyshevazot O Jsc  7.12 Orascom Construction Industries Sae  7.13 Petróleo Brasileiro S.A. – Petrobras  7.14 Potash Corp. of Saskatchewan Inc.  7.15 Qatar Fertiliser Company (S.A.Q.)  7.16 Rashtriya Chemicals and Fertilizers Ltd.  7.17 Sichuan Meifeng Chemical Industry Co. Ltd  7.18 Sinochem Group  7.19 Sociedad Quimica Y Minera Sa (SQM)  7.20 The Mosaic Co.  7.21 Uralkali Jsc  7.22 Yara International Asa  7.23 Zuari Global Limited


Ganesh B.,Indian Institute of Chemical Technology | Kumar V.V.,Indian Institute of Chemical Technology | Kumar V.V.,Rashtriya Chemicals and Fertilizers Ltd | Rani K.Y.,Indian Institute of Chemical Technology
IEEE Transactions on Neural Networks and Learning Systems | Year: 2014

A neural network architecture incorporating time dependency explicitly, proposed recently, for modeling nonlinear nonstationary dynamic systems is further developed in this paper, and three alternate configurations are proposed to represent the dynamics of batch chemical processes. The first configuration consists of L subnets, each having M inputs representing the past samples of process inputs and output; each subnet has a hidden layer with polynomial activation function; the outputs of the hidden layer are combined and acted upon by an explicitly time-dependent modulation function. The outputs of all the subnets are summed to obtain the output prediction. In the second configuration, additional weights are incorporated to obtain a more generalized model. In the third configuration, the subnets are eliminated by incorporating an additional hidden layer consisting of L nodes. Backpropagation learning algorithm is formulated for each of the proposed neural network configuration to determine the weights, the polynomial coefficients, and the modulation function parameters. The modeling capability of the proposed neural network configuration is evaluated by employing it to represent the dynamics of a batch reactor in which a consecutive reaction takes place. The results show that all the three time-varying neural networks configurations are able to represent the batch reactor dynamics accurately, and it is found that the third configuration is exhibiting comparable or better performance over the other two configurations while requiring much smaller number of parameters. The modeling ability of the third configuration is further validated by applying to modeling a semibatch polymerization reactor challenge problem. This paper illustrates that the proposed approach can be applied to represent dynamics of any batch/semibatch process. © 2012 IEEE.


Sharma R.C.,Indian Statistical Institute | Sharma R.C.,Rashtriya Chemicals and Fertilizers Ltd | Banik P.,Indian Statistical Institute
Agroecology and Sustainable Food Systems | Year: 2015

The study was carried out at the Experimental Farm of the Indian Statistical Institute, Giridih, India during the winter seasons of 2007–2008 and 2008–2009 in a split-plot design with three replications. Four legume species (chickpea, pea, groundnut, and lentil) were intercropped with baby corn (Zea mays L.) in 2:1 and 2:2 row arrangements in an additive series besides their sole stand in main-plots and three weeding (no-, one-, and two-weedings) treatments in subplots. Sole baby corn and legumes produced higher economic and by-product yields than their intercropping system. The yield of baby corn declined by 5–14.4% and that of legumes by 8.3–44% when they were grown in association. Intercropping systems had higher baby corn equivalent yield, land use efficiency (28.9–47.2%), area-time efficiency (2.7–15.3%), and monetary advantages, especially in 2:2 row ratios. Baby corn + pea (2:2) followed by baby corn + chickpea (2:2) seemed to be the best intercropping systems in terms of yield advantages and economic returns. Weeding increased yields by reducing competition and yield losses thereby increasing land efficiency and productivity. Intercropping improved soil health measured in terms of NPK, organic carbon, cation exchange capacity, soil enzymes, microbial respiration, and microbial biomass carbon. © Taylor & Francis Group, LLC.


Tatwawadi G.N.,Rashtriya Chemicals and Fertilizers Ltd. | Shankar P.,Rashtriya Chemicals and Fertilizers Ltd.
Chemical Engineering World | Year: 2012

The ammonia plants at RCF Thal were revamped phase wise such as to increase capacity and reduce specific energy consumption. This article describes the approach towards revamp, execution methodology and the results obtained. This revamp is aimed to contribute towards increasing urea availability while reducing dependence on imports.

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