A vision of future energy networks

Favre-Perrod, Patrick

doi:10.1109/pesafr.2005.1611778

Cited by 97 publications

(48 citation statements)

References 2 publications

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“…Figure 1 shows an illustration of a hub-interconnector network and the interaction with generating, consuming, and storing grid participants. The ''Vision of Future Energy Networks'' framework has been described in more details in References [6] and [7].…”

Section: The Multi-energy Modeling Frameworkmentioning

confidence: 99%

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Modeling and design of future multi‐energy generation and transmission systems

Favre-Perrod

Kienzle

Andersson

2010

Int Trans Elec Energy Syst

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SUMMARYOngoing changes in energy systems offer the opportunity to reconsider the design of our current energy infrastructures. As many new grid participants like combined heat and power plants involve other forms of energy in addition to electricity, the consideration of multi-energy networks represents a useful planning approach. This approach consists in an integrated analysis of combined infrastructures for conversion, transmission and storage of electricity, heat and chemical energy carriers. The integrated operation of systems with different energy carriers offers a new degree of freedom to system planners: energy can be generated, stored, and transmitted in various forms before being distributed to consumers in the adequate form. Different possible solutions for the design of multi-energy systems will exhibit differences in costs and risks. In order to adequately assess these two quantities, mean-variance portfolio theory is applied. Portfolio theory has been used in several cases of electricity generation planning. This paper shows the required modeling adaptations for the analysis of portfolios with multiple energy outputs and illustrates the application of portfolio theory in the context of multi-energy infrastructures. The presented method can be used for the integrated planning of energy systems including the generation, the transmission and the possibility of additional conversion of multiple energy carriers.

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Section: The Multi-energy Modeling Frameworkmentioning

confidence: 99%

“…As cost values additionally depend on specific local realities in many cases, 6 this application example does not aim at determining efficient generation portfolios with general validity, but at illustrating the principle of the proposed planning method.…”

Section: Technologies With Hydrogen As Outputmentioning

confidence: 99%

Modeling and design of future multi‐energy generation and transmission systems

Favre-Perrod

Kienzle

Andersson

2010

Int Trans Elec Energy Syst

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“…The model has been studied significantly and continued to be developed, because it offers many benefits such as high-energy efficiency and lower energy supply costs. The concept of the Energy Hub (EH) has been introduced in this model [1]. The power center is derived by the connection between the source and the load through the mixture of inputs and outputs of energy.…”

Section: Introductionmentioning

confidence: 99%

Optimal operation of energy hub in competitive electricity market considering uncertainties

Thang

Zhang

et al. 2018

Int J Energy Environ Eng

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This paper proposes a novel energy hub model for areas using both heat and cold demands that arise due to the major changes in environmental temperature in different periods of the year. The energy demand and the electrical price in a competitive electricity market are uncertain with stochastic values which are usually performed by a probability distribution function. Therefore, a stochastic mathematical model representing an optimal operation of energy hub is based on the objective function of minimization of energy costs (including electricity and gas). Several constraints such as energy balance, limited capacity of the transformer, air conditioners, gas boilers, absorption chillers, combined heat, and power and battery energy storage system are also incorporated into the model to guarantee the required specifications. The high-level algebraic modeling software, general algebraic modeling system has been employed to undertake calculations. Finally, numerical results have illustrated the efficiency and capability of the proposed models.

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“…These clean energy sources will be well adapted to loads in residential areas. However, before the concept of an EH appeared at the Swiss Federal Institute of Technology in Zurich [14,15], no research exploited the use of solar energy in a coordinated way, including heat and electricity, rather than individually. Therefore, EH modeling and optimal operation need to consider these two types of energy to fully improve the efficiency of solar energy.…”

Section: Introductionmentioning

confidence: 99%

Energy hub modeling to minimize residential energy costs considering solar energy and BESS

Zhang

Thang

et al. 2017

J. Mod. Power Syst. Clean Energy

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This paper aims to optimize total energy costs in an operational model of a novel energy hub (EH) in a residential area. The optimization problem is set up based on daily load demand (such as electricity, heat, and cooling) and time-of-use (TOU) energy prices. The extended EH model considers the involvement of solar photovoltaic (PV) generation, solar heat exchanger (SHE), and a battery energy storage system (BESS). A mathematical model is constructed with the objective of optimizing total energy cost during the day, including some constraints such as input-output energy balance of the EH, electricity price, capacity limitation of the system, and charge/discharge power of BESS. Four operational cases based on different EH structures are compared to assess the effect of solar energy applications and BESS on the operational efficiency. The results show that the proposed model predicts significant changes to the characteristics of electricity and gas power bought from utilities, leading to reduced total energy cost compared to other cases. They also indicate that the model is appropriate for the characteristics of residential loads.

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A vision of future energy networks

Cited by 97 publications

References 2 publications

Modeling and design of future multi‐energy generation and transmission systems

Modeling and design of future multi‐energy generation and transmission systems

Optimal operation of energy hub in competitive electricity market considering uncertainties

Energy hub modeling to minimize residential energy costs considering solar energy and BESS

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