Optimal management of a complex DHC plant

Pérez-Mora, Nicolás; Lazzeroni, Paolo; Martínez-Moll, Víctor; Repetto, Maurizio

doi:10.1016/j.enconman.2017.05.002

Cited by 18 publications

(13 citation statements)

References 23 publications

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“…Absorption chillers are modelled like local ICE and GT, as components of fixed size which can be installed as multiple units operating in parallel. Each ABS operation is allowed only if the heat produced by ICE and MGT, in the same site, is greater than the heat required by the former and the ABS existence is constrained by the existence of ICE and MGT, as expressed by Equations (17) and 18:…”

Section: Componentsmentioning

confidence: 99%

“…However, this is not a strong approximation considering that the thermal energy required by the users is normally supplied at a temperature of 50-55 • C and all components are able to produce the thermal energy at higher temperatures. Some restrictions due to the coupling of components related to the operating temperatures (ICE, MGT together with ABS) have been considered through a particular conformation of the superstructure and with additional constraints which consider this matter (e.g., Equations (17) and 18).…”

Section: Energy Balancesmentioning

confidence: 99%

“…Pavicevic et al [16] performed the optimization of sizing and operation of a DH system, focusing on the technological options for the TS. Pérez-Mora et al [17] optimized DHC systems, focusing on the alternative between absorption and compression chillers. Ameri and Besharati [18] defined a model for determining the optimal capacity and operation of seven combined cooling, heating and power (CCHP) systems in the heating and cooling network of a residential complex located east of Theran.…”

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confidence: 99%

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A Comparison of Different District Integration for a Distributed Generation System for Heating and Cooling in an Urban Area

et al. 2019

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The paper proposes a comparison of different district integration options for a distributed generation system for heating and cooling in an urban area. The system considered includes several production units located close to the users, a central unit and the district heating and cooling network which can connect all the users to each other and to a central unit, where a cogeneration system and a solar plant can be placed. Thus, each user can be regarded as isolated from the others, satisfying its energy needs by means of an autonomous production unit. Alternatively, it can be connected to the others through the district heating and cooling network. When a district heating and cooling network is included in the design option the synthesis-design and operation problems cannot be solved separately, because the energy to be produced by each production site is not known in advance, as the flows through the district heating and cooling network are not defined. This paper uses a mixed integer linear programming (MILP) methodology for the multi-objective optimization of the distributed generation energy system, considering the total annual cost for owning, operating and maintaining the whole system as the economic objective function, while the total annual CO2 emissions as the environmental objective function. The energy system is optimized for different district integration option, in order to understand how they affect the optimal solutions compared with both the environmental and economic objects.

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Section: Componentsmentioning

confidence: 99%

Section: Energy Balancesmentioning

confidence: 99%

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confidence: 99%

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A Comparison of Different District Integration for a Distributed Generation System for Heating and Cooling in an Urban Area

et al. 2019

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“…The forecast information can be used on a power plant simulator aiming to improve generation strategies, reduce generation expenses, and maximize revenues in generation. The power plant simulator generates strategies by using a decision maker tool . This tool supports the plant manager decision process while aims to optimize the cooling energy generation.…”

Section: District Coolingmentioning

confidence: 99%

“…The power plant simulator generates strategies by using a decision maker tool. [84][85][86] This tool supports the plant manager decision process while aims to optimize the cooling energy generation.…”

Section: Example (Parcbit Spain)mentioning

confidence: 99%

Solar district heating and cooling: A review

et al. 2017

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Summary Both district heating and solar collector systems have been known and implemented for many years. However, the combination of the two, with solar collectors supplying heat to the district heating network, is relatively new, and no comprehensive review of scientific publications on this topic could be found. Thus, this paper summarizes the literature available on solar district heating and presents the state of the art and real experiences in this field. Given the lack of a generally accepted convention on the classification of solar district heating systems, this paper distinguishes centralized and decentralized solar district heating as well as block heating. For the different technologies, the paper describes commonly adopted control strategies, system configurations, types of installation, and integration. Real‐world examples are also given to provide a more detailed insight into how solar thermal technology can be integrated with district heating. Solar thermal technology combined with thermally driven chillers to provide cooling for cooling networks is also included in this paper. In order for a technology to spread successfully, not only technical but also economic issues need to be tackled. Hence, the paper identifies and describes different types of ownership and financing schemes currently used in this field.

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