A review on multi energy systems modelling and optimization

Mancò, Giulia; Tesio, Umberto; Guelpa, Elisa; Verda, Vittorio

doi:10.1016/j.applthermaleng.2023.121871

Cited by 7 publications

(3 citation statements)

References 218 publications

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“…Among the most important benefits that come with optimization is lower primary energy consumption and thus operating costs and emissions. Mancò et al (2024) describe, on the basis of conducted studies, a reduction of costs from an economic point of view, usually in the range of 5% to 25%. Significant benefits can also be achieved when the optimization criterion is the reduction of primary energy or the reduction of CO2 emissions [4].…”

Section: Introductionmentioning

confidence: 99%

“…Mancò et al (2024) describe, on the basis of conducted studies, a reduction of costs from an economic point of view, usually in the range of 5% to 25%. Significant benefits can also be achieved when the optimization criterion is the reduction of primary energy or the reduction of CO2 emissions [4]. Optimizing operation design with a focus on achieving synergies and complementary benefits of subsystems, while maintaining high performance of individual systems, is addressed in the studies Intelligent Energy Systems: A Critical Review of Design and Operation Optimization, and compare different objectives, models and algorithms to optimize the design of a smart energy system [5].…”

Section: Introductionmentioning

confidence: 99%

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Management of Production Processes in a Heating Company

Garbier,

Corejova

2024

Preprint

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The paper is focused on researching the behavior of heating companies in connection with current developments in the electricity market and flexibility in the context of market behavior. The work assesses the increase in profitability through the creation of a technical-economic model using an objective function with profit maximization. The paper objective is presented the procedure and methodology for creating a model using the basic scheme of production processes integrated into the system platform. The result of the work is a comparative analysis of modelled cases of implemented operation deployment according to a defined period and modelling modes in selected time series. The description of individual outputs demonstrates the economic advantage of using combinations of modes of combined electricity and heat production, and non-combined electricity and heat production, including the use of the heat suppression mode because of overproduction of electricity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Management of Production Processes in a Heating Company

Garbier,

Corejova

2024

Preprint

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“…Integration of various infrastructures by interface equipment leads to achieving higher efficiency compared to conventional structures [1]. Multi-carrier systems are composed of energy hubs and simultaneously coordinate the operation of many subsystems to provide a variety of consumers [2]. These systems also can improve network resiliency and stability and reduce environmental pollution due to the diversity of components [3].…”

Section: Introductionmentioning

confidence: 99%

Robust Coordination of Electricity and Gas Networks Integrated With Energy Hubs, Rooftop Solar Homes, and Responsive Loads

Jawad Kadhim Al-Hassanawy,

Zare,

Ghassemzadeh

et al. 2024

IEEE Access

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This paper presents a robust framework for optimally coordinating integrated electricity and gas networks incorporating energy hubs and active loads. The energy hubs contain different sources, converters, and storage units to supply a variety of consumers. The designed system internally exchanges energy and gas using interface equipment and it simultaneously can participate in the day-ahead markets. This study also investigates the influence of various components such as renewable resources and energy storage systems on reactive power management. According to the high penetration of renewable energies and their significant impact on the network operation, a robust method consisting of information gap decision theory and fuzzy approach is applied to handle the uncertainty of wind and solar units. In addition, the role of flexible loads and prosumers is investigated by a time-based strategy, and eventually, a sensitivity analysis is implemented to evaluate the behavior of critical parameters. The presented model is a non-linear type that is linearized utilizing appropriate procedures to guarantee the problem convergence. The results show that the robust optimization with the maximum confidence level increases pollution and cost functions by 14.73% and 49.68%, respectively. In return, active loads decrease the mentioned values by 7.67% and 16.04%, respectively which validates their notable effects. The reactive power control of renewable resources and storage systems reduces the reactive power transferring through tie-lines and consequently improves technical specifications.INDEX TERMS Active load, environmental pollution, energy hub, fuzzy approach, integrated electricity and gas networks, robust optimization.

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Investigating the energy storage performance in optimal design of a solar hybrid multi‐generation system with distillatory

Forghani,

Hajabdollahi,

Solghar

2024

Energy Storage

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In this study, a cogeneration system of heating, cooling and power used with the solar flat plate collectors (FPCs) and photovoltaic panels (PVs) integrates with a multi‐effect distillation through thermal vapor compression (MEE‐TVC), investigated as the first system to meet the loads of heating, cooling, electricity and fresh water. As an innovation, the combination of the first system with cooling and thermal storage tanks have been investigated. The systems are optimized with MATLAB and single‐objective genetic algorithm. The total annual cost considered as the objective function to compare the two systems and 36 and 61 design variables are obtained for the first and second systems, respectively. The design parameters considered for optimization included the capacity of the diesel engine as the prime mover, electrical chiller capacity, absorption chiller capacity, size of the boiler, partial loads of the diesel engine for each hour of the 2 days (1 day for hot months and 1 day for cold months), partial loads of the chillers for each hour of the first days (second day has no cooling load), number of FPCs and PVs, number of effects in the desalination unit, driving steam pressure, feed water flow rate, driving steam flow rate, and electric cooling ratio. The optimization aimed to fulfill the heating, cooling, electricity, and fresh water requirements of a residential town situated in Bandar Abbas, Hormozgan province, Iran. The second system's optimization results were compared with first system. The results have shown that the objective function for the first system was and the initial investment cost was , and for the second system the objective function was and the initial investment cost was . Therefore, by using energy storage, the objective function was reduced by 11.30%.

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A review on multi energy systems modelling and optimization

Cited by 7 publications

References 218 publications

Management of Production Processes in a Heating Company

Management of Production Processes in a Heating Company

Robust Coordination of Electricity and Gas Networks Integrated With Energy Hubs, Rooftop Solar Homes, and Responsive Loads

Investigating the energy storage performance in optimal design of a solar hybrid multi‐generation system with distillatory

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