Optimum cogeneration strategies for a refrigeration plant

Musgrove, Arlene; Maher, KJ

doi:10.1016/0360-5442(88)90072-2

Cited by 11 publications

(6 citation statements)

References 3 publications

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“…A mathematical description of an early version of the LP model ELMO, has appeared elsewhere (Musgrove and Maher, 1987). The model uses a concise, but very generalised modular data format for building up a plant description.…”

Section: Elmo Modelmentioning

confidence: 99%

“…The steam system for an idealized refrigeration plant (Musgrove and Maher, 1987) utilising cogeneration of both electricity and mechanical work along with process steam, is given schematically in Figure 1. The refrigeration load is required for a continuous manufacturing process and varies with the ambient air temperature.…”

Section: Refrigeration Plantmentioning

confidence: 99%

“…The gas and electricity costs for this study are based on those obtaining in the Australian state of Victoria in mid-1987. The peak electricity charge was assumed to be $53-7/MWh, decreasing to $1 1-6/M Wh during offpeak periods, while gas was assumed to cost $2*50/GJ; somewhat higher than was assumed for the previous study (Musgrove and Maher, 1987). The off-peak periods were assumed to comprise the weekend and the first eight hours of every weekday.…”

Section: Refrigeration Plantmentioning

confidence: 99%

“…In addition, the overall solution procedure, when applied over time, can take advantage of recurrent features of the data to effect further reductions in solution time. This paper briefly reviews an idealized industrial refrigeration plant operating under a simple two-step timeof-use tariff for electricity, which was the subject ofan earlier optimisation study (Musgrove and Maher, 1987). That investigation used an LP model ELMO (Stocks et al, 1985), to show that the marginal production cost of low pressure steam and chilled water varied considerably as the chilled-water load increased.…”

Section: Introductionmentioning

confidence: 99%

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The use of a novel algorithm to analyse a sequential storage problem in a refrigeration plant

Musgrove

Stocks

1989

Int. J. Energy Res.

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The minimum‐cost operating strategy for an idealized refrigeration plant having cogeneration capacity was previously analysed using a linear programming model. It is shown here that the addition of chilled‐water storage can reduce energy costs by substantially altering the optimum operating strategy. A novel algorithm that uses a sequence of linear programming optimizations to analyse the dynamic behaviour of a store, is discussed. The method avoids approximations inherent in usual dynamic programming techniques, gives useful insights into the problem structure, and offers significant savings in computational time. The economic advantages of storing chilled water in the model plant are discussed, and a target figure for store capital cost is derived.

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Section: Elmo Modelmentioning

confidence: 99%

Section: Refrigeration Plantmentioning

confidence: 99%

Section: Refrigeration Plantmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The use of a novel algorithm to analyse a sequential storage problem in a refrigeration plant

Musgrove

Stocks

1989

Int. J. Energy Res.

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“…As a result of the demand cost that is based on the peak electrical demand during a utility billing period (e.g., a month), true optimal supervisory control requires minimization of an integral cost of operation over the entire billing period. Musgrove and Maher (1988) considered optimal control for a cogeneration plant that incorporated electric, steam-driven, and absorption chillers using linear programming. However, they didn't consider demand charges and maintenance costs in their case study, so that the optimization involved minimizing the cost of energy at each point in time.…”

Section: Introductionmentioning

confidence: 99%

Near-Optimal Control Strategies for Hybrid Cooling Plants

Braun

2007

HVAC&R Research

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This paper develops and evaluates a set of operating strategies that when implemented together provide near-optimal performance for hybrid cooling plants in terms of operating costs. A hybrid chiller plant employs a combination of chillers that are "powered" by electricity and natural gas. Operating cost minimization for hybrid plants must account for effects of electrical and gas energy costs, electrical demand costs, and differences in maintenance costs associated with different chillers. Control strategy development was facilitated by separating hourly energy cost minimization from the problem of determining trade-offs between monthly energy and demand costs. A demand constraint is set for each month based upon a heuristic strategy and energy cost optimal strategies that attempt to satisfy the demand constraint are applied for cooling tower and chiller control at each decision interval. Simulated costs associated with the individual control strategies compare well with costs for optimal control.

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Integrated modelling of material flows and energy systems (MIMES)

Sundberg

Wene

1994

Int. J. Energy Res.

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A comprehensive nonlinear programming model, MIMES, for the optimization of linked material and energy flow systems is presented. The model is generic, intended for systems that can be described by materials and energy balances but where the details of phase transitions and chemical reactions can be omitted. It fills a niche between energy systems engineering and process flowsheeting models. Issues suitable for analysis by the model range from energy conservation in industrial plants, specific industries or industrial subsectors to municipal waste management and fuels and materials life cycle analysis. MIMES is implemented on PC (386/486). The model is demonstrated for a paper production line in a paper mill. This example shows how the model can be used for joint analysis of energy and water conservation, substitution of energy carriers, and utilization of waste heat outside the system.

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Optimum cogeneration strategies for a refrigeration plant

Cited by 11 publications

References 3 publications

The use of a novel algorithm to analyse a sequential storage problem in a refrigeration plant

The use of a novel algorithm to analyse a sequential storage problem in a refrigeration plant

Near-Optimal Control Strategies for Hybrid Cooling Plants

Integrated modelling of material flows and energy systems (MIMES)

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