Article deals with design of welding jig for assembly of wind power plant component. Mainstay of article is design of welding jig, which makes exactly setting and reliable clamping of individual ...
Using machine models to characterize the operational experience of complex systems, instead of manual optimization decisions, has become an advanced solution for optimizing the operation of various power plants. A new modeling framework based on pattern matching and neural networks is proposed to improve the effectiveness and real-time …
A net power model of power plants was established based on the relationship between the total power of steam turbines, the CCWS operating status and its power. An optimization model was established to maximize the net power of power plants based on the operation scheme optimization of circulating cooling water pumps.
With the access of a large number of distributed resources, how to improve the aggregation and control ability of virtual power plants has become an urgent problem to be studied. …
Robust economy optimization method of virtual power plant participating in day-ahead invitation demand response is provided in this paper. Firstly, the non-linear demand response evaluation and demand response settlement model are establish based on collecting detailed information of virtual power plant.
MYBURGH, H.A and NORTJE, A. Operation and performance of the Sishen jig plant. J. S. Afr. Inst. Min. Metall. [online]. 2014, vol.114, n.7, pp.569-574. ISSN 2411-9717. Sishen …
Greenhouse gas emissions, mainly CO 2, have led to global warming, seriously threatening human survival and sustainable development [1].In 2020, coal-fired power plants (CFPP) remained the main component of the global electricity supply, accounting for about 41% [2].The retirement of coal-fired power plants is a long-term …
1. Introduction. Natural gas is quickly replacing coal as the preferred fuel for power generation worldwide due to its cleaner nature and lower CO 2 emissions (Boyce, 2012)bined cycle gas turbine (CCGT) power plants that use natural gas as the fuel are among the most efficient with a thermal efficiency as high as 60% (Rao, 2012).As a …
In this work the performance of an industrial hydrogen plant is improved by multi-objective optimi-zation using an adaptation of the nondominated sorting genetic algorithm (NSGA).
The jig plant at Sishen Mine consisting of 24 jigs was in full production towards the end of 2009 providing an equivalent of 13 Mt product per annum. The jig plant was designed …
DOI: 10.22306/al.v7i2.167 Corpus ID: 225680941; OPTIMIZATION OF TECHNOLOGICAL JIGS FLOW IN AUTOMOTIVE USING SOFTWARE MODULE …
Considering comprehensive energy efficiency and economy, VPP (virtual power plant) bi-objective planning optimization is put forward. This paper constructs VPP overall exergy conception, including, investment, operation, maintenance, energy conversion and environmental cost. Using analytic hierarchy process (AHP) and entropy weight method, …
It was found that the plant should focused on producing power and medium pressure steam to optimize the profit. The findings concluded that biomass-based cogeneration plant was technically feasible to be deployed. However, further refinements in the optimization aspect should be developed to obtain a more accurate optimal results.
The stochastic optimization (SO) method was proposed in [8] to determine the best offering strategy of VPP in both the day-ahead and the balancing markets seeking to maximize its expected profit, where the conventional power plant, wind power, and pumped hydro storage account for the offering strategy. Ref.
This paper reports a solution of the task of power plant design which is based on approach (B) and a representation of the plant by a modified decision tree. Alterna tive adaptive strategies for algorithmic power plant design are discussed in [3] and [2]. For the treatment of the structural and continuous design variables there are,
Owing to the time-varying output power of PV power plants, the optimization of daily maintenance planning for PV power plants should encompass not only the optimization of maintenance …
The increasing variability in power plant load in response to a wildly uncertain electricity market and the need to to mitigate CO2 emissions, lead power plant operators to explore advanced options for efficiency optimization. Model-based, system-scale dynamic simulation and optimization are useful tools in this effort and are the …
The scheme of the 1 MW ORC power plant object of analyses and optimization in this paper is described in [20].The concept is based on modular plants using thermal oil as a heat source with a feeding temperature of approximately 300 °C and delivering heat, at a temperature level between 80 and 120 °C, to heat users.In …
Injection of the generator distributed in the distribution network can affect the power system significantly. The effect that occurs depends on the allocation of DG on each part of the ...
The optimization of steam power plants shows that selecting the optimal design parameters with a genetic algorithm can improve the exergy efficiency of a …
The objective of the Sishen Expansion Project (SEP), i.e. the jig plant, was to produce 10 Mt/a of saleable product with six modules to the set physical and chemical …
Over the years, olefins plants have evolved into highly integrated, highly flexible processing systems that can profitably adjust to ever changing landscape of raw material availability and market demand for high purity olefins products.
Power plant performance optimization. Improve the power plant output and heat rate of gas turbines and combined cycles. Worldwide services.
Currently, the energy scheduling strategy for a VPP in the context of the market transaction is a hot topic of research. Reference [4] proposed a combined approach for interval and deterministic optimization to solve the VPP scheduling problem. Reference [5] explored a two-stage optimal VPP operational mechanism considering the reserve …
As power plant processes and equipment are based on consolidated engineering knowledge, optimization by first-principle equations modeling can be a first approach to consider in a variety of ...
A disjunctive programming model for superstructure optimization of power and desalting plants S.F. Mussati a *, M. Barttfeld b, P.A. Aguirre a, N.J. Scenna a a INGAR/CONICET – Instituto de Desarrollo y Diseño, Avellaneda 3657 (3000) Santa Fe, Argentina Tel. +54 342 4534451; Fax +54 342 4553439; email: [email protected] b …
of created models in TX Plant Simulation have made the universal and productive use this tool possible. The data exchange during the simulation run and the complete control of TX Plant Simulation by other programs (e.g. PPS, ERP system, etc.) are important for integrated solutions. Via the existing interfaces, TX Plant Simulation
ABB's OPTIMAX® plant optimization solutions sup-port plant personnel in achieving higher plant efficien-cies and expected performance of assets,thus impro-ving total plant availability and productivity. Introduction ABB has used technological advances in the areas of control and software engineering to develop innova-tive plant optimization ...
For low temperature AARL plants watch for water contamination ie low ionic strength water is essential and check reagent strengths. 0.5% cyanide and 2% caustic will be more than adequate. For low temperature Zadra plants(ie <115°C) at least 0.5% cyanide is mandatory or high barren carbon values will result.
A VPP is a flexible aggregate of distributed power sources. It does not change the grid connection method of power plants, loads, and ESS entities. Instead, the coordination and optimization of each distributed power source is realized through the control centre of the VPP, so as to participate in the operation and dispatch of the power …
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