Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 17999 AbstractAn off-grid energy system based on renewable photovoltaics (PV) and wind turbines (WT) generators is coupled via converters to electric and hydraulic networks. The electric network is composed of consumers and of a battery bank for electrical storage, while the hydraulic part is made of motor-pumps and hydraulic tanks for water production and desalination. Both battery and water tanks are used to optimize the power management of both electric and hydraulic subsystems by ensuring electric load demand and by reducing at the same time water deficit following the operation of the renewable intermittent source. Thus, both electric and hydraulic subsystems are strongly coupled in terms of energy making necessary to manage the power flows provided by renewable sources to optimize the overall system performance. In this paper, two kinds of management strategies are then compared in the way they share the hybrid power sources between the storage devices (battery and tanks) and the electrical/hydraulic loads. The first approach deals with an "uncoupled power management" in which the operation of electrical and hydraulic loads does not depend on the state of the intermittent renewable sources: in particular, hydraulic pumps are operated only taking account of water demand and tank filling but without considering power sources. On the contrary, given the available power produced by the sources, the second class of strategy (i.e. the "coupled management strategy") consists of a "smart" power sharing between the electrical and hydraulic networks with regard to the battery SOC and the tank L 1 and L 2 . A dynamic simulator of the hybrid energy system has been developed and tested using a MATLAB environment. The system performance is shown under the two investigated approaches (uncoupled vs coupled). Several tests are carried out using real meteorological data of a remote area and a practical load demand profile. The simulation results show that the "coupled strategy" clearly outperforms the classical "uncoupled" management strategies.

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“…During the charging and discharging process, the state of charge (SOC) vs time (t) can be described by [1]:…”

Section: Wind Turbine Modelmentioning

confidence: 99%

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Zaibi

Champenois

Roboam

et al. 2018

Mathematics and Computers in Simulation

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“…In [46], Abbes et al introduced a triple multi-objective optimization approach applied to a hybrid PV-wind-battery system for a residential house. This approach considers both the life cycle cost, embodied energy and loss of power supply probability.…”

Section: Cost and Co 2 Minimizing Rural Electrification Planning Probmentioning

confidence: 99%

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Bolukbasi

Kocaman

2018

Energy

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The lack of access to electricity in developing countries necessitates spatial electricity planning for guiding sustainable electrification projects that evaluate the costs of centralized systems vis-a-vis decentralized approaches. Heuristic approaches have been widely used in such electrification problems to find feasible, cost effective solutions; however, most of the time global optimality of these solutions is not guaranteed. Our thesis through its modeling approach provides a new methodology to find the least cost solution to this electrification problem. We model the spatial network planning problem as Prize Collecting Steiner Tree problem which would be base for a decision support tool for rural electrification. This new method is systematically assessed using both randomly generated data and real data from rural regions across SubSaharan Africa. Comparative results for the proposed approach and a widely used heuristic method are presented based on computational experiments. Additionally, a bi-objective approach that permits to take carbon emission level into the account is implemented and experimented with numerical data.

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“…As for the economic indicators, life cycle cost is often used to evaluate the economic feasibility of a project [27]. In this paper, the life cycle cost of an EH is chosen as the objective function to be minimized.…”

Section: Objective Functionmentioning

confidence: 99%

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

Deng

Jing

et al. 2017

Energies

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Abstract:The simulation model is one of the key points affecting the optimal planning and operation of energy hubs (EHs). Since treating the efficiencies of generation units as constants would significantly simplify the calculation, only a simplified model is investigated in most research works. In this paper, aiming at optimizing the capacity configuration of an EH, we present a part-load characteristics-based (PLCB) model, in which the efficiencies of generation units will change with the fluctuating load. Based on the PLCB model, the accuracy of the EH model can be improved. Furthermore, a two-stage planning method is proposed to solve the optimal capacity configuration problem of the EH. Group Search Optimizer (GSO) is used to determine the optimal size in the first stage, and a mathematical programming method is applied to obtain the optimal operation of the EH in the second stage. Comparative studies using the PLCB model and the simplified model are performed to examine the impacts of equipment part-load characteristics on the sizing results. Simulation results indicate that the proposed model appears to have a better economic performance than the simplified model.

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Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems

Cited by 191 publications

References 20 publications

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

Smart power management of a hybrid photovoltaic/wind stand-alone system coupling battery storage and hydraulic network

A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems

Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units

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