scholarly journals The Economic Evaluation of Methanol and Propylene Production from Natural Gas at Petrochemical Industries in Iran

2021 ◽  
Vol 13 (17) ◽  
pp. 9990
Author(s):  
Rahmad Syah ◽  
Afshin Davarpanah ◽  
Marischa Elveny ◽  
Amir Ghasemi ◽  
Dadan Ramdan

This investigation scrutinizes the economic features and potential of propylene and methanol production from natural gas in Iran because greenhouse gas emissions released by natural gas-based production processes are lower than coal-based ones. Considering the advantage of Iran’s access to natural gas, this study evaluates and compares the economic value of different plans to complete the value chain of propylene production from natural gas and methanol in the form of four units based on three price scenarios, namely, optimistic, realistic, and pessimistic, using the COMFAR III software. Iran has been ranked as the second most prosperous country globally based on its natural gas reserves. Methanol and propylene production processes via natural gas will lower the release of greenhouse gas. This, increasing the investment and accelerating the development of methanol and propylene production units driven by natural gas will lead the world to a low emission future compared to coal-based plants. The economic evaluation and sensitivity analysis results revealed that the conversion of methanol to propylene is more attractive for investment than the sale of crude methanol. The development of methanol to propylene units is more economical than constructing a new gas to propylene unit because of the lower investment costs.

2011 ◽  
Vol 51 (2) ◽  
pp. 686
Author(s):  
Susie Smith

Transforming the way Australia produces and uses energy must be a cornerstone of a national response to addressing greenhouse gas emissions. Natural gas can deliver significant greenhouse gas emission reductions at a fraction of the cost of alternative technologies. To drive this forward, industry is looking for policy certainty and a level playing field. Furthermore, there exists the opportunity to leverage other low emission technologies from gas—for example, the integration of natural gas combined cycle generation with a solar thermal array offers an opportunity to enable the early deployment of solar thermal technology in Australia. Integration can deliver a power outcome at lower cost and with higher conversion efficiencies than an equivalent stand-alone solar thermal facility.


2021 ◽  
Author(s):  
Zhenggang Nie ◽  
Anna Korre ◽  
Ernesto Santibanez Borda ◽  
Yu Zhang ◽  
Sevket Durucan

2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.


2020 ◽  
Vol 45 (59) ◽  
pp. 34483-34493
Author(s):  
Hua Liu ◽  
Jinghui Qu ◽  
Ming Pan ◽  
Bingjian Zhang ◽  
Qinglin Chen ◽  
...  

2012 ◽  
Vol 38 ◽  
pp. 95-101 ◽  
Author(s):  
Johanna Pucker ◽  
Robin Zwart ◽  
Gerfried Jungmeier

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