Optimal energy management

Canova, Aldo; Cavallero, Claudio Domenico; Freschi, Fabio; Giaccone, Luca; Repetto, Maurizio; Tartaglia, Michele

doi:10.1109/mias.2009.931811

Cited by 48 publications

(22 citation statements)

References 4 publications

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“…Analysing tri‐generation or poly‐generation plants with mixed‐integer linear programming (MILP) as an optimisation model was carried out by the authors in . Canova et al proposed an MILP model for the optimal energy management of a tri‐generation system. They defined the objective function as the minimisation of the global production costs.…”

Section: Optimisation Studiesmentioning

confidence: 99%

Optimisation studies on tri-generation: a review

Ünal¹,

Ercan

Kayakutlu

2015

Int. J. Energy Res.

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Summary Electricity, heating and cooling usage at the same time constitute an important part of primary energy consumption. Currently, intense efforts are being devoted to the improvement and development of new technologies to promote energy savings and to mitigate the global warming. Among these technologies, tri‐generation and poly‐generation systems come into prominence due to their high efficiencies, as well as low operating costs and low greenhouse gas emissions. Nevertheless, modelling and sizing these systems is a large‐sized problem itself, and the higher the number of inputs, the higher the computational complexity. This paper aims to give a comprehensive review of the optimisation techniques used in tri‐generation and poly‐generation systems modelling and optimisation. After having reviewed more than a hundred papers, taxonomy is constructed. Self‐organising map is used to cluster the reviewed studies based on the optimisation techniques. Variations of the energy resources and the outputs of implemented systems are summarised. The crowd of clusters demonstrated the widely used optimisation techniques and the gaps in research. This study will certainly pioneer the optimisation studies in the field of tri‐generation/poly‐generation applications. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Optimisation Studiesmentioning

confidence: 99%

Optimisation studies on tri-generation: a review

Ünal¹,

Ercan

Kayakutlu

2015

Int. J. Energy Res.

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“…Many modern methods of analyses [58][59][60] are aimed to increase the effect gained due to ambient air processing, in particular, to reduce energy and fuel consumption. Some of such methods include calculation of cooling degree-hours (CDH) [14,61] and modified versions [62][63][64] to match current cooling duties according to actual climatic conditions as well as thermal demand management (TDM) [65,66] based on different criteria [67,68] to save energy in building conditioning, engine intake air cooling and combined cooling, heat and power.…”

Section: Introductionmentioning

confidence: 99%

Innovative Turbine Intake Air Cooling Systems and Their Rational Designing

et al. 2020

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The efficiency of cooling ambient air at the inlet of gas turbines in temperate climatic conditions was analyzed and reserves for its enhancing through deep cooling were revealed. A method of logical analysis of the actual operation efficiency of turbine intake air cooling systems in real varying environment, supplemented by the simplest numerical simulation was used to synthesize new solutions. As a result, a novel trend in engine intake air cooling to 7 or 10 °C in temperate climatic conditions by two-stage cooling in chillers of combined type, providing an annual fuel saving of practically 50%, surpasses its value gained due to traditional air cooling to about 15 °C in absorption lithium-bromide chiller of a simple cycle, and is proposed. On analyzing the actual efficiency of turbine intake air cooling system, the current changes in thermal loads on the system in response to varying ambient air parameters were taken into account and annual fuel reduction was considered to be a primary criterion, as an example. The improved methodology of the engine intake air cooling system designing based on the annual effect due to cooling was developed. It involves determining the optimal value of cooling capacity, providing the minimum system sizes at maximum rate of annual effect increment, and its rational value, providing a close to maximum annual effect without system oversizing at the second maximum rate of annual effect increment within the range beyond the first maximum rate. The rational value of design cooling capacity provides practically the maximum annual fuel saving but with the sizes of cooling systems reduced by 15 to 20% due to the correspondingly reduced design cooling capacity of the systems as compared with their values defined by traditional designing focused to cover current peaked short-term thermal loads. The optimal value of cooling capacity providing the minimum sizes of cooling system is very reasonable for applying the energy saving technologies, for instance, based on the thermal storage with accumulating excessive (not consumed) cooling capacities at lowered current thermal loads to cover the peak loads. The application of developed methodology enables revealing the thermal potential for enhancing the efficiency of any combustion engine (gas turbines and engines, internal combustion engines, etc.).

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“…In historic buildings the former solution is rather problematic, whereas some measures can be implemented in the electrical and thermal systems. In particular, it is possible to improve the efficiency of electric transformers and motors [5], [6], install and properly manage multi-generation systems [7], [8], or promote the connection to district heating networks, if available [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Energy consumption in an Italian opera house: Analysis and possible reduction

Mitolo¹,

Noussan

Pons

et al. 2017

2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Syst

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The refurbishment of historic buildings is a complex task where the goal of obtaining a more energy efficient building often conflicts with the peculiar characteristics of the built environment, and its final destination. In this paper, the authors address this problem for a very specific type of building: a historic opera house located in Northern Italy. The results of energy consumption monitoring and spot measurements on selected loads are herein used as a basis to propose energy saving strategies.

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Optimal energy management

Cited by 48 publications

References 4 publications

Optimisation studies on tri-generation: a review

Optimisation studies on tri-generation: a review

Innovative Turbine Intake Air Cooling Systems and Their Rational Designing

Energy consumption in an Italian opera house: Analysis and possible reduction

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