scholarly journals ANALISIS PRODUKTIVITAS PEMBANGKIT LISTRIK TENAGA GAS DENGAN METODE OBJECTIVE MATRIX (OMAX) (Studi Kasus : PT SA ARY INDORAYA)

Jurnal Tekno ◽  
2019 ◽  
Vol 16 (1) ◽  
pp. 17-37
Author(s):  
Yuda Hardiantara ◽  
Ch Desi Kusmindari ◽  
Amiluddin Zahri

Electricity demand in Indonesia is growing to encourage companies to manage resources effectively and efficiently in order to improve performance and target achievement. Analyzing the productivity index aims to determine the productivity of the benchmark electricity production in the achievement of the company. The results of this study is the productivity index of electricity production period of December 2016 every week that is 163.7, 245.2, 85.08, 57.96, while the period of January 2017 every week is 103.98, 216.18, 269.16, 162.48, ratios that affect the productivity of the production of electric power plant based on order of importance is the ratio of 1 (total production / hours of operation machine) with a weight of 3:22, a ratio of 2 (total electricity production / total number of employees) with a weight of 26.1, a ratio of 3 (the number of gas consumption / total power production) with a weight of 18:58, a ratio of 4 (total electricity consumption own / total power production) with a weight of 10:32, and a ratio of 5 (the total number of employees / number of absent workers) with a weight of 5.76, the lowest value ratio is the ratio of six (the number of hours the engine die / the number of engine operating hours) with a weight of 4:02.

Author(s):  
Jairo A. Betancourth ◽  
Vi´ctor H. Rangel ◽  
J. Jesu´s Pacheco ◽  
Abel Hernandez ◽  
Jose´ C. Rubio

In this paper a thermoeconomic costs of production analysis of a diesel cycle-based cogeneration Honduran power plant is presented in order to obtain the total production cost of electricity and to obtain a costs allocation that is more rigorous, based on exergy concepts. These costs provide an idea of the measure of sacrifices of the utilized resources in order to generate the final product. Many papers related with thermoeconomic analysis can be cited. However, there are few articles related to this kind of analysis applied to a diesel cycle-based cogeneration power plant. Here, the Exergy Costs Theory has been applied in order to achieve the objectives. The power plant has 8 internal combustion engines with an 11.340 MW capacity each. Only three of them have a boiler installed which uses the exhaust gases of combustion for vapor generation. The others five emit the exhaust gases to the environment. Some options are explored to commercialize the residual steam since it is ejected still at high temperatures, either as direct sale or cogeneration for power production using micro turbines.


Author(s):  
Mychael Gatriser Pae ◽  
Tegar Prasetyo ◽  
Suharyanto Suharyanto ◽  
T. Haryono ◽  
Ridwan Budi Prasetyo

The reliability of stand-alone and hybrid power plant systems was dependent on electrical loads that the system must supply. For example, on renewable energy sources (RES), Reviews of those systems needs to be calculated well before the development process. One of the most important processes in the initial calculation is the electrical load that must be supplied by the system. The electrical load has a major influence on the amount of power generating capacity. A power plant that has higher electricity production than the load to be fulfilled was considered capable of meeting the system electrical load requirements. However, in terms of the reliability, it is considered as a loss because it will affect the life of the components and the high cost of operating from the system. Therefore, this research discusses the effect of load growth on hybrid power plant system performance of Baron Techno Park. The result of the research shows that the total electricity production of Baron Techno Park hybrid power plant system is 319.695 kWh/year with Net Present Cost (NPC) is $560.077 and the cost of energy (COE) is $0.64/kWh. Total electricity consumption of the PLTH Baron Techno Park is 67.413 kWh/year with total excess electrical energy is 245,547 kWh/year. Load growth of 5%, 10%, 15%, and 20% of the total current load affect the consumption of electric energy, excess electrical energy, and COE. The higher the load growth will affect the total electricity consumption that is increasingly higher so that the total excess electrical energy is lower. This research found that the performance of the system is not influenced by load growth. The highest performance of the system is resulted by the wind turbine of 72.62%, followed by solar panels of 18.82%, and biodiesel of 8.56%.


2019 ◽  
Vol 116 (4) ◽  
pp. 1162-1167 ◽  
Author(s):  
Annelen Kahl ◽  
Jérôme Dujardin ◽  
Michael Lehning

Our work explores the prospect of bringing the temporal production profile of solar photovoltaics (PV) into better correlation with typical electricity consumption patterns in the midlatitudes. To do so, we quantify the potential of three choices for PV installations that increase production during the winter months when electricity is most needed. These are placements that favor (i) high winter irradiance, (ii) high ground-reflected radiation, and (iii) steeper-than-usual panel tilt angles. In addition to spatial estimates of the production potential, we compare the performance of different PV placement scenarios in urban and mountain environments for the country of Switzerland. The results show that the energy deficit in a future fully renewable production from wind power, hydropower, and geothermal power could be significantly reduced when solar PV is installed at high elevations. Because the temporal production patterns match the typical demand more closely than the production in urban environments, electricity production could be shifted from summer to winter without reducing the annual total production. Such mountain installations require significantly less surface area and, combined with steeper panel tilt angles, up to 50% of the winter deficit in electricity production can be mediated.


2019 ◽  
Vol 8 (4) ◽  
pp. 9449-9456

This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category.


2020 ◽  
Vol 12 (24) ◽  
pp. 10344
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Mohammed Itma

This paper targets the future energy sustainability and aims to estimate the potential energy production from installing photovoltaic (PV) systems on the rooftop of apartment’s residential buildings, which represent the largest building sector. Analysis of the residential building typologies was carried out to select the most used residential building types in terms of building roof area, number of floors, and the number of apartments on each floor. A computer simulation tool has been used to calculate the electricity production for each building type, for three different tilt angles to estimate the electricity production. Tilt angle, spacing between the arrays, the building shape, shading from PV arrays, and other roof elements were analyzed for optimum and maximum electricity production. The electricity production for each household has been compared to typical household electricity consumption and its future consumption in 2030. The results show that installing PV systems on residential buildings can speed the transition to renewable energy and energy sustainability. The electricity production for building types with 2–4 residential units can surplus their estimated future consumption. Building types with 4–8 residential units can produce their electricity consumption in 2030. Building types of 12–24 residential units can produce more than half of their 2030 future consumption.


2020 ◽  
Vol 13 (1) ◽  
pp. 305
Author(s):  
W.J. Wouter Botzen ◽  
Tim Nees ◽  
Francisco Estrada

Fixed effects panel models are used to estimate how the electricity and gas consumption of various sectors and residents relate to temperature in Mexico, while controlling for the effects of income, manufacturing output per capita, electricity and gas prices and household size. We find non-linear relationships between energy consumption and temperature, which are heterogeneous per state. Electricity consumption increases with temperature, and this effect is stronger in warm states. Liquified petroleum gas consumption declines with temperature, and this effect is slightly stronger in cold states. Extrapolations of electricity and gas consumption under a high warming scenario reveal that electricity consumption by the end of the century for Mexico increases by 12%, while gas consumption declines with 10%, resulting in substantial net economic costs of 43 billion pesos per year. The increase in net energy consumption implies greater efforts to comply with the mitigation commitments of Mexico and requires a much faster energy transition and substantial improvements in energy efficiency. The results suggest that challenges posed by climate change also provide important opportunities for advancing social sustainability goals and the 2030 Agenda for Sustainable Development. This study is part of Mexico’s Sixth National Communication to the United Nations Framework Convention on Climate Change.


2021 ◽  
Author(s):  
Dimitry Chuprakov ◽  
Ludmila Belyakova ◽  
Ivan Glaznev ◽  
Aleksandra Peshcherenko

Abstract We developed a high-resolution fracture productivity calculator to enable fast and accurate evaluation of hydraulic fractures modeled using a fine-scale 2D simulation of material placement. Using an example of channel fracturing treatments, we show how the productivity index, effective fracture conductivity, and skin factor are sensitive to variations in pumping schedule design and pulsing strategy. We perform fracturing simulations using an advanced high-resolution multiphysics model that includes coupled 2D hydrodynamics with geomechanics (pseudo-3D, or P3D, model), 2D transport of materials with tracking temperature exposure history, in-situ kinetics, and a hindered settling model, which includes the effect of fibers. For all simulated fracturing treatments, we accurately solve a problem of 3D planar fracture closure on heterogenous spatial distribution of solids, estimate 2D profiles of fracture width and stresses applied to proppants, and, as a result, obtain the complex and heterogenous shape of fracture conductivity with highly conductive cells owing to the presence of channels. Then, we also evaluate reservoir fluid inflows from a reservoir to fracture walls and further along a fracture to limited-size wellbore perforations. Solution of a productivity problem at the finest scale allows us to accurately evaluate key productivity characteristics: productivity index, dimensional and dimensionless effective conductivity, skin factor, and folds of increase, as well as the total production rate at any day and for any pressure drawdown in a well during well production life. We develop a workflow to understand how productivity of a fracture depends on variation of the pumping schedule and facilitate taking appropriate decisions about the best job design. The presented workflow gives insight into how new computationally efficient methods can enable fast, convenient, and accurate evaluation of the material placement design for maximum production with cost-saving channel fracturing technology.


2020 ◽  
Vol 22 (1-2) ◽  
pp. 21-28
Author(s):  
Iva Batić ◽  
◽  
Željko Đurišić

School and school gym buildings represent a relevant potential for construction of photovoltaic panels, to be integrated into roofs of these buildings. Given that roof structures are passive, construction of photovoltaic systems does not interfere with the building functionality, does not it in any way adversely affect the environment. Installation of photovoltaic systems on building roofs brings the production and consumption of electricity closest possible, therefore such systems ensure significant reduction in power losses in transmission and distribution grids. In addition to locally produced electricity, construction of photovoltaic systems on the school buildings’ roofs produces an educational effect as well. By installing a measuring and acquisition system which would include the measuring data on the photovoltaic power plant production parameters and school electricity consumption into school labs, technology would be closer to students, as well as possibilities to meet the demand for electricity from this basic renewable energy source. This paper presents the results of evaluations of the available roof surfaces of school buildings in Serbia for the photovoltaic panels installation. For each category of school building, an estimate of possible annual production per unit of average roof area was made. Summarizing all the results, estimates of possible installed capacity and annual electricity production for different scenarios are given.


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