Optimal design of integrated CHP systems for housing complexes

Fuentes-Cortés, Luis Fabián; Ponce-Ortega, José María; Nápoles‐Rivera, Fabricio; Serna‐González, Medardo; El‐Halwagi, Mahmoud M.

doi:10.1016/j.enconman.2015.04.036

Cited by 57 publications

(27 citation statements)

References 42 publications

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“…Indeed, it has been shown by Omu et al [18] that considering static heat losses improves the accuracy of thermal-storage modeling, compared to a simplified thermal-battery model. To this end, different formulations that also consider the residual energy in the computation of the losses have been proposed [13]. The latter reads:…”

Section: Teschargementioning

confidence: 99%

“…Elsido et al [12] proposed a MINLP formulation for a district heating network, combining evolutionary algorithms with mathematical programming. The optimal design and operation for both economic and environmental objectives of a CHP system with a thermal storage tank was investigated by Fuentes-Cortés et al [13], by exploiting commercial MINLP solvers.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage

2019

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Cogeneration systems are widely acknowledged as a viable solution to reduce energy consumption and costs, and CO2 emissions. Nonetheless, their performance is highly dependent on their capacity and operational strategy, and optimization methods are required to fully exploit their potential. Among the available technical possibilities to maximize their performance, the integration of thermal energy storage is recognized as one of the most effective solutions. The introduction of a storage device further complicates the identification of the optimal equipment capacity and operation. This work presents a cutting-edge methodology for the optimal design and operation of cogeneration systems with thermal energy storage. A two-level algorithm is proposed to reap the benefits of the mixed integer linear programming formulation for the optimal operation problem, while overcoming its main drawbacks by means of a genetic algorithm at the design level. Part-load effects on nominal efficiency, variation of the unitary cost of the components in relation to their size, and the effect of the storage volume on its thermal losses are considered. Moreover, a novel formulation of the optimization problem is proposed to better characterize the heat losses and operation of the thermal energy storage. A rolling-horizon technique is implemented to reduce the computational time required for the optimization, without affecting the quality of the results. Furthermore, the proposed methodology is adopted to design a cogeneration system for a secondary school in San Francisco, California, which is optimized in terms of the equivalent annual cost. The results show that the optimally sized cogeneration unit directly meets around 70% of both the electric and thermal demands, while the thermal energy storage additionally covers 16% of the heat demands.

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Section: Teschargementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage

2019

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“…These studies have focused on determining optimal operational strategies [30], determining the equipment size and operational strategies [31], selecting auxiliary equipment [32], and comparing CCHP systems with conventional power generation systems [33]. The uncertainty of energy demands, ambient conditions, and energy market conditions has also been addressed.…”

Section: Introductionmentioning

confidence: 99%

Integrated design and control of multigeneration systems for building complexes

Fuentes-Cortés

Dowling

Rubio-Maya

et al. 2016

Energy

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“…Other studies that also employ a superconfiguration and formulate a single level approach to the problem can be found in Petruschke et al [32], where intertemporal dynamic SDOO is performed in renewable energy systems via a hybrid method that exploits synergies between heuristic and optimization based approaches, Goderbauer et al [33] where a decentralized energy supply system is optimized for an appropriate cost function via adaptive discretization algorithm and in Zhu et al [34], where a large scale combined heat and power (CHP) system is examined. Finally, another noteworthy study can be found in Fuentes-Cortés et al [35], where multiobjective intertemporal dynamic SDOO that encompasses economic, environmental and safety aspects, is performed for residential CHP systems.…”

Section: Introductionmentioning

confidence: 99%

Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships

2019

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Fuel expenses constitute the largest part of the operating cost of a merchant ship. Integrated energy systems that cover all energy loads with low fuel consumption, while being economically feasible, are increasingly studied and installed. Due to the large variety of possible configurations, design specifications, and operating conditions that change with time, the application of optimization methods is imperative. Designing the system for nominal conditions only is not sufficient. Instead, intertemporal optimization needs to be performed that can be static or dynamic. In the present article, intertemporal static and dynamic optimization problems for the synthesis, design, and operation (SDO) of integrated ship energy systems are stated mathematically and the solution methods are presented, while case studies demonstrate the applicability of the methods and also reveal that the optimal solution may defer significantly from the solutions suggested with the usual practice. While in other works, the SDO optimization problems are usually solved by two- or three-level algorithms; single-level algorithms are developed and applied here, which tackle all three aspects (S, D, and O) concurrently. The methods can also be applied on land installations, e.g., power plants, cogenerations systems, etc., with proper modifications.

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Optimal design of integrated CHP systems for housing complexes

Cited by 57 publications

References 42 publications

A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage

A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage

Integrated design and control of multigeneration systems for building complexes

Intertemporal Static and Dynamic Optimization of Synthesis, Design, and Operation of Integrated Energy Systems of Ships

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