Optimal sizing of a multi-source energy plant for power heat and cooling generation

Barbieri, Enrico; Dai, Yanjun; Morini, Mirko; Pinelli, Michele; Spina, Pier Ruggero; Sun, Pengfei; Wang, R.Z.

doi:10.1016/j.applthermaleng.2013.11.022

Cited by 54 publications

(24 citation statements)

References 13 publications

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“…Ref. [12] develops a genetic algorithm for the optimal sizing of a multi-source energy plant comprised of a CHP plant, a heat pump, a solar-thermal and photovoltaic system and an auxiliary boiler and chiller, in which primary energy consumption is minimised. In this contribution, the capacity size is predetermined for some of the scenarios defined.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimisation of the capacity and the dispatch of decentralised micro-CHP systems: A case study for the UK

2015

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Section: Literature Reviewmentioning

confidence: 99%

Optimisation of the capacity and the dispatch of decentralised micro-CHP systems: A case study for the UK

2015

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“…Furthermore, only a few papers are published about the analysis of multi-source production plants or DHSs and the problem of expanding or redesigning a DHS to connect new consumers [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A method for the simulation and optimization of district heating systems with meshed networks

Vesterlund¹,

Dahl²

2015

Energy Conversion and Management

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“…Equations (29)- (31) ensure that the energy flow through each element is within the limits of air-conditions, absorption chillers, and boilers. For the existing elements in hubs, the maximum capacity may be changed because of installing new elements as shown in Equations (29) and (31). In order to reduce the number of intermediate variables, the output energy variable of CHPs, air-conditions, absorption chillers, and boilers are replaced by other intermediate variables.…”

Section: Energy Hubs Constraintsmentioning

confidence: 99%

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

et al. 2017

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Abstract:In a carbon-constrained world, natural gas with low emission intensity plays an important role in the energy consumption area. Energy consumers and distribution networks are linked via energy hubs. Meanwhile, reconfiguration that optimizes operational performance while maintaining a radial network topology is a worldwide technique in the electricity distribution system. To improve the overall efficiency of energy infrastructure, the expansion of electricity distribution lines and elements within energy hubs should be co-planned. In this paper, the co-planning process is modeled as a mixed integer quadratic programming problem to handle conflicting objectives simultaneously. We propose a novel model to identify the optimal co-expansion plan in terms of total cost. Operational factors including energy storages and reconfiguration are considered within the systems to serve electricity, cooling and heating loads. Reconfiguration and elements in energy hubs can avoid or defer new elements' installation to minimize the investment cost, maintenance cost, operation cost, and interruption cost in the planning horizon. The proposed co-planning approach is verified on 3 and 12-node electricity and natural gas distribution systems coupled via energy hubs. Numerical results show the ability of our proposed expansion co-planning approach based on energy hub in meeting energy demand.

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Optimal sizing of a multi-source energy plant for power heat and cooling generation

Cited by 54 publications

References 13 publications

Optimisation of the capacity and the dispatch of decentralised micro-CHP systems: A case study for the UK

Optimisation of the capacity and the dispatch of decentralised micro-CHP systems: A case study for the UK

A method for the simulation and optimization of district heating systems with meshed networks

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

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