Matrix modelling of small-scale trigeneration systems and application to operational optimization

Chicco, Gianfranco; Mancarella, Pierluigi

doi:10.1016/j.energy.2008.09.011

Cited by 198 publications

(75 citation statements)

References 44 publications

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“…Each zone has a specific and limited heating and cooling installed power designed to meet the required load 98% of the time. Based on published recommendations [5,6] the operation of the cogeneration units during the cold season is controlled by the quantity of heat necessary to satisfy the heating load of the MURB. On the other hand, during the hot season the operation of the cogeneration units is controlled by the heat demand of the absorption cooler which depends on the cooling load of the building.…”

Section: System Description and Modelmentioning

confidence: 99%

“…Some studies have tested prototype systems [1][2][3][4] with encouraging results especially for larger systems. Others have evaluated its performance and economical feasibility based on assumed component efficiencies [5][6][7][8] and indicate that trigeneration performs better by following the heat demand during the cold season and the electricity prices during the warm season. Only one study [9] has assessed the hourly interaction of the different components of the system for a 210 m 2 household but used a simplified model for the absorption cooler based on one particular machine.…”

Section: Introductionmentioning

confidence: 99%

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Application of Trigeneration to a Multi-Unit Residential Building in Canada

Allaire-Tanguay¹,

Galanis²,

Sunye³

2024

RE&PQJ

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Abstract. This paper presents the model developed to compare a trigeneration system to existing heating, cooling and electricity generation methods. The archetype of a typical 13 storey multi-unit residential building has been simulated in TRNSYS with an array of commercially available cogeneration units. These units provide the required heating to the building through water storage and produce electricity as a subsidiary. During cooling periods heat from these units fuels a combination of absorption machines modelled especially for this application. Results show a reduction of primary energy consumption compared to an actual scenario. Further analysis of the controls and storage size would be required to optimize this system.

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Section: System Description and Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Trigeneration to a Multi-Unit Residential Building in Canada

Allaire-Tanguay¹,

Galanis²,

Sunye³

2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…As the basis for an environmental decision support system, Frombo et al developed a linear programming model for the optimal allocation of biomass resources [174]. Chicco and Mancarella advanced an optimization model for the management of a small-scale, tri-generation system to maximize the combined production of electricity, heat, and cooling power under minimized GHG emissions [175]. Chaturvedi et al used a nonlinear programming model with time-varying acceleration coefficients for supporting power dispatchment among various economic sectors [176].…”

Section: Optimization Of Ghg Emission Mitigationmentioning

confidence: 99%

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

et al. 2011

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Abstract:Energy is crucial in supporting people's daily lives and the continual quest for human development. Due to the associated complexities and uncertainties, decision makers and planners are facing increased pressure to respond more effectively to a number of energy-related issues and conflicts, as well as GHG emission mitigation within the multiple scales of energy management systems (EMSs). This quandary requires a focused effort to resolve a wide range of issues related to EMSs, as well as the associated economic and environmental implications. Effective systems analysis approaches under uncertainty to successfully address interactions, complexities, uncertainties, and changing conditions associated with EMSs is desired, which require a systematic investigation of the current studies on energy systems. Systems analysis and optimization modeling for low-carbon energy systems planning with the consideration of GHG emission reduction under uncertainty is thus comprehensively reviewed in this paper. A number of related methodologies and applications related to: (a) optimization modeling of GHG emission mitigation; (b) optimization modeling of energy systems planning under uncertainty; and (c) model-based decision support tools are examined. Perspectives of effective management schemes are investigated, demonstrating many demanding areas for enhanced research efforts, which include issues of data availability and reliability, concerns in OPEN ACCESSEnergies 2011, 4 1625 uncertainty, necessity of post-modeling analysis, and usefulness of development of simulation techniques.

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“…Many studies have been carried out such as Hajabdollahi et al [10], Chicco and Mancarella [11] and Stojiljkovic et al [12], just to mention a few, to optimize the operation and/or design of trigeneration plants using partial load characteristics and different optimization approaches and objectives [13] including in some cases thermoeconomic and exergy analysis [14] or environmental information obtained through life cycle analysis techniques incorporated into the optimization model [15]. In some cases the main interest is focused in the design of new trigeneration systems for DHC networks for different cases such as big urban areas [16], for small scale applications with the integration of renewable energy sources [17] or to study the combined effect of optimized energy supply systems and reduction of home energy demands [18].…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants

2016

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Trigeneration plants can use different types of chillers in the same plant, typically single effect and double effect absorption chillers, vapour compression chillers and also cooling storage systems. The highly variable cooling demand of the buildings connected to a district heating and cooling (DHC) network has to be distributed among these chillers to achieve lower operating costs and higher energy efficiencies. This problem is difficult to solve due to the different partial load behaviour of each chiller and the different chiller combinations that can cover a certain cooling demand using an appropriate sizing of the cooling storage. The objective of this paper is to optimize the daily plant operation of an existing trigeneration plant based on cogeneration engines and to study the optimal cooling load sharing between different types of absorption chillers using a mixed integer linear programming (MILP) model. Real data from a trigeneration plant connected to a DHC close to Barcelona (Spain) is used for the development of this model. The cooling load distribution among the different units is heavily influenced by the price of the electricity sold to the grid which rules the duration of the operation time of the engines. The main parameter to compare load distribution configurations is the primary energy saving indicator. Cooling load distribution among the different chillers changes also with the load of the whole plant because the chiller performance changes with load.

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Matrix modelling of small-scale trigeneration systems and application to operational optimization

Cited by 198 publications

References 44 publications

Application of Trigeneration to a Multi-Unit Residential Building in Canada

Application of Trigeneration to a Multi-Unit Residential Building in Canada

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants

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