2014
DOI: 10.1016/j.compchemeng.2014.02.018
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Multi-objectives, multi-period optimization of district energy systems: III. Distribution networks

Abstract: A systematic procedure including process design and integration techniques for designing and operating energy distribution networks, and for transportation of resources is presented in this paper. In the developed model a simultaneous multi-objectives and multi-period optimization is principally investigated. In addition to optimize the transportation of resources/products, the proposed method helps decision makers to decide; which type and size of poly-generation technologies, centralized or decentralized, ar… Show more

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Cited by 49 publications
(21 citation statements)
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“…Equation (4) indicates that the greater the similarity between the synthesis result and the reference image, the larger the peak signal to noise ratio is, and the stronger the noise immunity performance of the algorithm is.…”
Section: As Follows)mentioning
confidence: 99%
See 1 more Smart Citation
“…Equation (4) indicates that the greater the similarity between the synthesis result and the reference image, the larger the peak signal to noise ratio is, and the stronger the noise immunity performance of the algorithm is.…”
Section: As Follows)mentioning
confidence: 99%
“…In the multiple synthesis methods, the threshold synthesis method has been widely applied in the image processing field due to its simplicity and effectiveness [3], in which, the maximum between-class variance method is one of the most common and important synthesis methods. The maximum between-class variance method only takes the gray value information of the pixel into consideration while ignoring its spatial correlation; hence, the algorithm has relatively poor noise immunity [4,5]. To solve this issue, the two-dimensional Otsu method is put forward by introducing the mean value of the pixel neighborhood, which has enhanced the noise immunity of the algorithm to some extent.…”
Section: Introductionmentioning
confidence: 99%
“…Bujalski [7] has proposed a solution for optimal scheduling of a CHP plant operation, with the use of a storage tank. Fazlollahi et al [8] have proposed a procedure for optimization in DH on the stage of design and operation. Ziębik and Gładysz [9] have proposed an empirical formula for determination of the optimal value of the share of cogeneration in cogeneration systems with thermal storages.…”
Section: Current State Of Researchmentioning
confidence: 99%
“…Domínguez-Muñoz et al (2011) select a user-chosen number of typical days optimally selected using a k-medoids clustering algorithm. Based on a k-means clustering algorithm assisted by an constraint optimisation technique, Fazlollahi et al (2014a) use typical periods selected from multiple demand profiles, minimising the number of typical periods while accounting for extreme demand peaks. To compute the optimal design of a distributed energy systems for a neighbourhood of 10 buildings, Mehleri et al (2012b) divide a year into 18 different time periods (6 periods per day, for summer, mid-season and winter).…”
Section: Research In Energy Optimisationmentioning
confidence: 99%