Size optimization for cogeneration plants

Ehmke, H.-J.

doi:10.1016/0360-5442(90)90062-7

Cited by 17 publications

(3 citation statements)

References 5 publications

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“…In fact, according to Ren et al (2008), the use of simulated or hypothetical data in CHP feasibility models remains a great barrier to CHP adoption because such modelling approaches in effect underestimate the true role of prime movers during modelling. Earlier work conducted by Ehmke (1990) extends an existing linear programming model for the optimization of the CHP system was able to examine how optimisation of CHP utilisation could be investigated and modelled using linear programming. This work was followed shortly by that of Gustafsson and Karlsson (1991) and that of Yokoyama et al (1994) who focused on the optimisation of the operational use of CHP gas turbine plants.…”

Section: Chp Sizing Modelsmentioning

confidence: 99%

Practical feasibility and assessment model for combined heat and power

Nock¹,

Ojiako

Bektaş

et al. 2011

International Journal of Energy Sector Management

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Purpose -This paper seeks to set out opportunities for the development of a UK-focused feasibility and sizing model utilising linear programming. Design/methodology/approach -Optimisation of the model is conducted using integer linear programming developed using Excel Solver. Findings -When compared with comparable alternatives, the model is shown to be particularly useful as its functionality is embedded in resource intensive prime mover specifications obtained from seven real industrial cases.Research limitations/implications -The study acknowledges the limitation of utilising sizing data primarily obtained from secondary sources to develop the model. Originality/value -The practical usefulness of this model is that it has been built using "real", as opposed to simulated-data. When compared with comparable alternatives, the model is shown to be articularly useful as its functionality is embedded in resource intensive prime mover specifications obtained from seven real industrial cases.

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Section: Chp Sizing Modelsmentioning

confidence: 99%

Practical feasibility and assessment model for combined heat and power

Nock¹,

Ojiako

Bektaş

et al. 2011

International Journal of Energy Sector Management

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“…Firstly, the steam expansion in the turbine is calculated using equations (6) to (8) (17)]. Using the mass and energy balance equations from the feed water storage [control volume 5, equation (10), and control volume 6, equation (11)] respectively, the values of m 9 and h 9 can be determined.…”

Section: Mathemathical Model and Simulation Of The Operationmentioning

confidence: 99%

“…For example, the genetic algorithm (GA) optimization technique was proved to be a suitable one [5]. The standard linear programming technique to optimize the size of cogeneration components was used by Ehmke [6]. Balestieri and de Barros Correia [7] presented a twostep multiobjective model as a means to optimize the design of a cogeneration system.…”

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confidence: 99%

Strategy for optimal operation of a biomass-fired cogeneration power plant

Prasertsan

Krukanont

Ngamsritragul

et al. 2001

Proceedings of the Institution of Mechanical Engineers, Part A:

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Biomass-red cogeneration not only is an environmentally friendly energy production, but also possesses high energy conversion ef ciency. Generally, the wood product industry requires both heat and electricity. Combined heat and power generation (cogeneration) using wood residue has a three-fold bene t: waste minimization, reduction of an energy-related production cost and additional income from selling the excess electricity to the utility. In reality, the process heat demand uctuates according to the production activities in the factory. The uctuation of process heat demand affects the cogeneration ef ciency and the electricity output and, consequently, the nancial return, since the prices of heat and electricity are different. A study by computer simulation to establish a guideline for optimum operation of a process heat uctuating cogeneration power plant is presented. The power plant was designed for a sawmill and an adjacent plywood factory using wood wastes from these two processes. The maximum boiler thermal load is 81.9 MW while the electricity output is in the range 19-24 MW and the process heat 10-30 MW. Two modes of operation were studied, namely the full (boiler) load and the partial (boiler) load. In the full load operation, the power plant is operated at a maximum boiler thermal load, while the extracted steam is varied to meet the steam demand of the wood-drying kilns and the plywood production. The partial load operation was designed for the partially fuelled boiler to provide suf cient steam for the process and to generate electricity at a desired capacity ranging from the rmed contract of 19 MW to the turbine maximum capacity of 24 MW. It was found that the steam for process heat has an allowable extracting range, which is limited by the low pressure feed water heater. The optimum operation for both full and partial load occurs at the lower limit of the extracting steam. A guideline for optimum operation at various combinations of electricity output and steam demand is presented. The maximum achievable overall ef ciency is 64.6 per cent when the power plant is operated at partial (boiler) load condition for 19 MW electricity and 30 MW process heat. The full load operation, although having lower overall ef ciency, is preferable nancially because of the higher unit price of electricity in comparison with heat.

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