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The purpose of this paper is to analyze a thermal power plant (TPP) by taking into consideration its key components, namely, boiler, turbine, conveyor and generator, which are handled by a human operator. It is well known fact that the continuous power generation through a power plant depends on the reliability/availability of its components.

The various performance measures of a TPP are obtained by using mathematical modeling, Markov process and supplementary variable technique.

Reliability, i.e. mean time to failure with respect to different components of a TPP, has been obtained and demonstrated with the help of graphs. Critical components of the system are identified through sensitivity analysis.

In the present paper, a mathematical model based on the functioning of a TPP has been developed. Conclusions in this paper are good references for the design of a TPP.

This is a case of a crisis project management which showcases the unpredictable nature of the project and the role of management in handling the crisis. It is the case of a very severe cyclonic storm hitting the city of Visakhapatnam plant during October, 2014. The whole city was devastated and so was the situation in the Steel plant as it was under zero power conditions for around 10 days. This case gives need for managing an integrated steel plant in case of very severe cyclonic storm and documents the sequence of events and managing unforeseen uncertainty using NTCP concepts.

This paper aims to study the changes in productivity for 25 state‐owned coal‐fired power plants (CFPPs) over a period of seven years (2003‐2010).

The methodology that is utilized in the study follows a non‐parametric approach of data envelopment analysis (DEA) and uses the Malmquist index to estimate the change in productivity of panel samples. In the calculations, the study considers installed capacity, fuel, labour, electricity used, and average operational time as inputs and considers net electricity produced as output.

The results indicate that the average total factor productivity regressed during the investigation period at an annual rate of 2 percent. The decrease in productivity is equally attributed to the technical efficiency change and technological change components, with an average decline in productivity of 1 percent per year. A plant‐wise analysis demonstrates that the Parichha plant recorded an average increase in productivity of 3.9 percent per year that was mainly driven by the technical efficiency change component (4.2 percent).There is little variation in the productivity of small‐size plants when compared with medium and large‐size plants. The productivity of multivaried plants is comparatively lower than BHEL (Bharat Heavy Electricals Limited) make plants.

The impact of size, make and region on change in productivity is examined. This study recommends specific policies that can be implemented to increase the productivity of power plants. The study also provides a contemporary overview of Indian CFPPs that can aid energy planners and plant operators in the monitoring and detection of changes in productivity.

This paper deals with the optimization of coal handling system performability for a thermal power plant.

Coal handling system comprises of five subsystems, namely Wagon Tippler, Crusher, Bunker, Feeder and Coal Mill. The partial differential equations are derived on the behalf of transition diagram by using the Markov approach. These partial differential equations are further solved to obtain the performance model with the help of normalization condition. Numerous performability levels are achieved by putting the appropriate combinations of failure and repair rates (FRRs) in performance model. Performability optimization for coal handling system is obtained by varying the population and generation size.

Highest performability level, that is, 93.33 at population size of 40 and 93.31 at generation size of 70, is observed.

The findings of this paper highlight the optimum value of performability level and FRRs for numerous subsystems. These findings are highly beneficial for plant administration to decide about the maintenance planning.

The purpose of this paper is to analyze sustainability of the constructed projects (Djerdap 1 and 2) and feasibility of the planned ones (Djerdap 3) on the river Danube in the region of Iron Gate, with multi-criteria focus on technical, economical and environmental parameters.

The main objectives were achieved by using the methodology of a holistic multi-criteria approach. Electra method was applied. The design of the three projects on the international Danube River were analyzed, from technical, economical and environmental point of view, with the goal to manage a higher involvement of renewable resources.

The results of the research imply that the most profitable technical solutions cannot reach its realization and construction if the environmental quality criteria are not fulfilled and included in the multi-criteria optimization model. At the same time, the most sustainable and environmentally friendly technical solutions, such as the renewable hydro pump storage scheme, cannot be realized without proper project management and investment.

The results and conclusions are valid for all the structures and projects of renewable resources, where there is a conflict to the environment. This research has implications to all decision-making processes focusing on holistic analyses of conflicted techno-economical and environmental parameters.

The value of the paper and research is in proving the necessity of simultaneous analyses of technical, economical and environmental impacts on the projects. All the results of the research are beneficial for stakeholders who intend to invest in renewable hydro energy resources, in the function of sustainable development.

The purpose of this paper is to present how multi-criteria methods can be used in the process of National Energy Programme development and analysis of the electricity generation planning in relatively small energy systems.

Due to dependence on many input and output parameters which can be very complex and uncertain, energy systems have become extremely difficult to analyse and use of multi-criteria decision-making methods is essential. This paper presents and compares results of the analysis of electricity generation scenarios with three widely used multi-criteria methods, analytic hierarchy process (AHP), preference ranking organisation method for enrichment evaluation (PROMETHEE) and multi-attribute utility theory (MAUT).

AHP, due to its transparency and simplicity in comparison with PROMETHEE and MAUT, is the most suitable method for the analysis of the electricity generation decision alternatives in a small energy system, such as Slovenian. The case study proposed in this research confirms that transition from environment unfriendly fossil-fuelled economy to sustainable and climate friendly development requires a realistic approach, which must be based on excellent knowledge of alternative possibilities of development and especially awareness of new opportunities in exploitation of energy efficiency and renewable energy sources.

The case study presented in this research represents a repeatable and practical application of three widely used multi-criteria methods in the process of national energy policy development. It provides a methodological approach for finding realistic solutions to the problem of the future development challenges in small energy systems.