Procedure for calculating specific capital investment per ton of refinery production, including costs of off-site facilities

1975 ◽  
Vol 11 (2) ◽  
pp. 114-117
Author(s):  
V. I. Gubernskii ◽  
G. A. Terent'ev ◽  
N. V. Narushevich
Keyword(s):  
Capital Investment ◽  
Specific Capital Investment ◽  
Refinery Production ◽  
Specific Capital

scholarly journals Determination of the Average Specific Capital Consumptions of CCPP with Gas Turbine of 30-125 MW and Put into Operation at TPPs of the Russian Federation from 2015 to the First Quarter of 2021

2021 ◽  
Vol 2096 (1) ◽  
pp. 012161
Author(s):  
E L Stepanova ◽  
S N Sushko ◽  
A P Ovchinnikov
Keyword(s):  
Gas Turbine ◽  
Russian Federation ◽  
Gas Turbines ◽  
Capital Investment ◽  
Energy Systems ◽  
Capital Investments ◽  
Specific Capital Investment ◽  
The Russian Federation ◽  
Specific Capital

Abstract Research was carried out on the volume of gas turbine commissioning in the range of unit capacities of 30–125 MW at TPPs of the Russian Federation operating as part of a CCPP in the period from 2015 to the first quarter of 2021. The purpose of the research was to determine the average specific capital investment in construction and the average specific fuel consumption for the supply of electricity and heat for the CCPP introduced over the years in the united energy systems of the Russian Federation. Gas turbines are classified by electrical capacity into three groups: from 100 to 125 MW, from 60 to 99 MW and from 30 to 59 MW. An assessment of the quantitative distribution of gas turbines over the interconnected energy systems of the Russian Federation has been carried out. The results of the comparison of the quantitative commissioning of gas turbines are shown in the period from 2010 to the economic crisis of 2014 and in the period from 2015 to the present. A preliminary estimate of the increase in average specific capital investments in the construction of CCPP, which included gas turbines of the same electric power, was made for these periods.

Exergoeconomic analysis of renewable multi-generation system

2020 ◽  
pp. 99-111
Author(s):  
Vontas Alfenny Nahan ◽  
Audrius Bagdanavicius ◽  
Andrew McMullan
Keyword(s):  
Capital Investment ◽  
Combined Cycle ◽  
Asian Countries ◽  
Generation System ◽  
Integrated Gasification Combined Cycle ◽  
Heating And Cooling ◽  
Integrated Gasification ◽  
Exergoeconomic Analysis ◽  
Main Components ◽  
The Cost

In this study a new multi-generation system which generates power (electricity), thermal energy (heating and cooling) and ash for agricultural needs has been developed and analysed. The system consists of a Biomass Integrated Gasification Combined Cycle (BIGCC) and an absorption chiller system. The system generates about 3.4 MW electricity, 4.9 MW of heat, 88 kW of cooling and 90 kg/h of ash. The multi-generation system has been modelled using Cycle Tempo and EES. Energy, exergy and exergoeconomic analysis of this system had been conducted and exergy costs have been calculated. The exergoeconomic study shows that gasifier, combustor, and Heat Recovery Steam Generator are the main components where the total cost rates are the highest. Exergoeconomic variables such as relative cost difference (r) and exergoeconomic factor (f) have also been calculated. Exergoeconomic factor of evaporator, combustor and condenser are 1.3%, 0.7% and 0.9%, respectively, which is considered very low, indicates that the capital cost rates are much lower than the exergy destruction cost rates. It implies that the improvement of these components could be achieved by increasing the capital investment. The exergy cost of electricity produced in the gas turbine and steam turbine is 0.1050 £/kWh and 0.1627 £/kWh, respectively. The cost of ash is 0.0031 £/kg. In some Asian countries, such as Indonesia, ash could be used as fertilizer for agriculture. Heat exergy cost is 0.0619 £/kWh for gasifier and 0.3972 £/kWh for condenser in the BIGCC system. In the AC system, the exergy cost of the heat in the condenser and absorber is about 0.2956 £/kWh and 0.5636 £/kWh, respectively. The exergy cost of cooling in the AC system is 0.4706 £/kWh. This study shows that exergoeconomic analysis is powerful tool for assessing the costs of products.

Towards New Policy Incentives for Fixed Capital Investment and Technological Upgrades in Russia

2011 ◽  
pp. 43-56
Author(s):  
A. Apokin
Keyword(s):  
Economic Policy ◽  
Capital Investment ◽  
Empirical Studies ◽  
Fixed Capital ◽  
Policy Framework ◽  
Private Companies ◽  
Russian Economy ◽  
Technological Modernization ◽  
Fixed Capital Investment ◽  
Policy Incentives

The paper approaches the problem of private fixed capital underinvestment in Russia. The author uses empirical studies of the Russian economy and cases of successful technological modernization to outline several groups of disincentives for private companies to perform fixed capital investment in Russia. To counter these constraints, a certain incentive-based economic policy framework is developed.

International Remittances and Private Healthcare in Kerala, India

2020 ◽  
Vol 17 (3) ◽  
pp. 445-460
Author(s):  
Mohd Imran Khan ◽  
Valatheeswaran C.
Keyword(s):  
Instrumental Variable ◽  
Capital Investment ◽  
Healthcare Expenditure ◽  
Healthcare Services ◽  
Private Healthcare ◽  
International Remittances ◽  
Variable Approach ◽  
Using Data ◽  
The Impact ◽  
Instrumental Variable Approach

The inflow of international remittances to Kerala has been increasing over the last three decades. It has increased the income of recipient households and enabled them to spend more on human capital investment. Using data from the Kerala Migration Survey-2010, this study analyses the impact of remittance receipts on the households’ healthcare expenditure and access to private healthcare in Kerala. This study employs an instrumental variable approach to account for the endogeneity of remittances receipts. The empirical results show that remittance income has a positive and significant impact on households’ healthcare expenditure and access to private healthcare services. After disaggregating the sample into different heterogeneous groups, this study found that remittances have a greater effect on lower-income households and Other Backward Class (OBC) households but not Scheduled Caste (SC) and Scheduled Tribe (ST) households, which remain excluded from reaping the benefit of international migration and remittances.

How Sweet and Ripe are the Fruits? Data Mining Techniques for Classifying and Predicting ‘Quick-Wins’ Direct Capital Investment in Indonesia as One Approach to Business intelligence Orientation and Knowledge Management Scenarios of Indonesian Enterprises

2019 ◽  
Vol 1 (1) ◽  
pp. 121-131
Author(s):  
Ali Fauzi
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Direct Investment ◽  
Capital Investment ◽  
Export Market ◽  
Added Value ◽  
Knowledge Generation ◽  
Management Scenarios ◽  
Data Mining Techniques ◽  
Knowledge Based Economy

The existence of big data of Indonesian FDI (foreign direct investment)/ CDI (capital direct investment) has not been exploited somehow to give further ideas and decision making basis. Example of data exploitation by data mining techniques are for clustering/labeling using K-Mean and classification/prediction using Naïve Bayesian of such DCI categories. One of DCI form is the ‘Quick-Wins’, a.k.a. ‘Low-Hanging-Fruits’ Direct Capital Investment (DCI), or named shortly as QWDI. Despite its mentioned unfavorable factors, i.e. exploitation of natural resources, low added-value creation, low skill-low wages employment, environmental impacts, etc., QWDI , to have great contribution for quick and high job creation, export market penetration and advancement of technology potential. By using some basic data mining techniques as complements to usual statistical/query analysis, or analysis by similar studies or researches, this study has been intended to enable government planners, starting-up companies or financial institutions for further CDI development. The idea of business intelligence orientation and knowledge generation scenarios is also one of precious basis. At its turn, Information and Communication Technology (ICT)’s enablement will have strategic role for Indonesian enterprises growth and as a fundamental for ‘knowledge based economy’ in Indonesia.

Refinery production scheduling toward Industry 4.0

2018 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Marcel JOLY ◽  
Darci ODLOAK ◽  
MarioY. MIYAKE ◽  
Brenno C. MENEZES ◽  
Jeffrey D. KELLY
Keyword(s):  
Production Scheduling ◽  
Industry 4.0 ◽  
Refinery Production

Solar Renewable Energy Credit Price Volatility and Investment Returns: Have Policies Stranded Capital Investment?

Commonwealth ◽  
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Somayeh Youssefi ◽  
Patrick L. Gurian
Keyword(s):  
Solar Energy ◽  
Capital Investment ◽  
Supply And Demand ◽  
Price Volatility ◽  
The United States ◽  
Investment Model ◽  
Capital Investments ◽  
Demand Model ◽  
Market Prices ◽  
Investment Returns

Pennsylvania is one of a number of U.S. states that provide incentives for the generation of electricity by solar energy through Solar Renewal Energy Credits (SRECs). This article develops a return on investment model for solar energy generation in the PJM (mid-­Atlantic) region of the United States. Model results indicate that SREC values of roughly $150 are needed for residential scale systems to break even over a 25-­year project period at 3% interest. Market prices for SRECs in Pennsylvania have been well below this range from late 2011 through the first half of 2016, indicating that previous capital investments in solar generation have been stranded as a result of steep declines in the value of SRECs. A simple conceptual supply and demand model is developed to explain the sharp decline in market prices for SRECs. Also discussed is a possible policy remedy that would add unsold SRECs in a given year to the SREC quota for the subsequent year.

The Impact of the Depreciation Changes on Capital Investment

2018 ◽  
Vol 27 (3) ◽  
pp. 163-193
Author(s):  
Yangsik Lee ◽  
Jongchan Park
Keyword(s):  
Capital Investment ◽  
The Impact

Equity Regulation and U.S. Venture Capital Investment

2017 ◽  
Vol 2017 (1707) ◽  
Author(s):  
Tyler Atkinson ◽  
◽  
John V. Duca ◽  
Keyword(s):  
Venture Capital ◽  
Capital Investment ◽  
Venture Capital Investment
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