Design of a novel thermoelectric module based on application stability and power generation

Liu, Lin; Meng, Xiang‐Guo; Miao, Zhuang; Zhou, Sen

doi:10.1016/j.csite.2022.101836

Cited by 37 publications

(18 citation statements)

References 23 publications

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“…e allowed range of [0.9, 1.1] p.u. is considered for voltage [37][38][39][40][41], pressures [24], and temperature [4], and capacities of distribution, gas, and heating stations are 7, 11, and 3 p.u., respectively [24]. Characteristics of distribution lines and pipelines in different networks are presented in [20].…”

Section: Electrical Power Flowmentioning

confidence: 99%

“…In the present era, environmentally friendly energy sources such as wind, solar, microturbine, and CHP systems are utilized at the consumption points to lessen the emissions caused by fossil fuel consumption [1][2][3][4][5]. Moreover, it is anticipated that ESSs such as batteries and EVs along with DRPs with energy management can be effective in reducing pollution [6].…”

Section: Introductionmentioning

confidence: 99%

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Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

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In order to increase energy efficiency, the energy hub is considered as a form of aggregator and coordinator of various resources and storage. With the optimal performance of resources and storage generators based on a proper energy management system, it is expected that hubs can gain financial benefits from energy markets and ancillary services. So, the paper presents the participation of networked energy hubs in day-ahead (DA) reserve regulation and energy markets, where the hub operator incorporates a coordinated energy management (CEM) strategy to manage power sources and energy storage devices within the hub. Hence, this problem maximizes the total profit of hubs in the DA energy and up and down reserve markets. Also, the problem is constrained by optimal power flow (OPF) constraints in gas, electricity, and thermal networks, reserve limits, and hub constraints, including the model of the combined heat and power (CHP), renewable energy source (RES), electrical/thermal storage, parking lots of electric vehicles (EVs), and boiler. Following that, a linear format is obtained for the nonlinear equation using traditional linearization methods so that an optimal solution is found in less time considering less computational error. Eventually, a standard case system is used to test the strategy, and thus, the capabilities of the approach are investigated. The obtained findings validate the potential of the proposed design in enhancing the economic situation of power sources and storage in hub form, which can enhance operation indices by optimal management of the hub so that the energy management of resources and storage in the form of a hub based on CEM compared to their independent management plan has been able to increase the profit of these elements in energy and up and down reserve markets by about 17%, 28%, and 15%, respectively. Regarding technical indices of energy networks, the proposed scheme by creating low energy losses in the gas network and providing pressure drop, overvoltage, and overtemperature within their permissible limits succeeded in reducing the energy losses in electricity and heat networks by about 83% and 38%, respectively, compared to power flow studies. Also, in these conditions, it has reduced the maximum voltage and temperature drop by 45% and 39%, respectively.

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Section: Electrical Power Flowmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

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“…Authors in [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] developed mathematical techniques to solve energy management problem in SG. In [7], Mixed Integer Linear Programming (MILP) is developed to solve energy management problem for PAR and cost minimization.…”

Section: Mathematical Techniquesmentioning

confidence: 99%

“…where Γ A T a (t), Γ A P a (t), and Γ A C a (t) are per hour energy consumption of time flexible appliances, power flexible appliances, and critical/base appliances, respectively. The net energy cost per day is shown by Equation (29).…”

Section: Energy Costmentioning

confidence: 99%

Optimal Demand-Side Management Using Flat Pricing Scheme in Smart Grid

Albogamy

Ashfaq

Hafeez³

et al. 2022

Processes

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This work proposes a framework to solve demand-side management (DSM) problem by systematically scheduling energy consumption using flat pricing scheme (FPS) in smart grid (SG). The framework includes microgrid with renewable energy sources (solar and wind), energy storage systems, electric vehicles (EVs), and building appliances like time flexible, power flexible, and base/critical appliances. For the proposed framework, we develop an ant colony optimization (ACO) algorithm, which efficiently schedules smart appliances, and EVs batteries charging/discharging with microgrid and without (W/O) microgrid under FPS to minimize energy cost, carbon emission, and peak to average ratio (PAR). An integrated technique of enhanced differential evolution (EDE) algorithm and artificial neural network (ANN) is devised to predict solar irradiance and wind speed for accurate microgrid energy estimation. To endorse the applicability of the proposed framework, simulations are conducted. Moreover, the proposed framework based on the ACO algorithm is compared to mixed-integer linear programming (MILP) and W/O scheduling energy management frameworks in terms of energy cost, carbon emission, and PAR. The developed ACO algorithm reduces energy cost, PAR, and carbon emission by 23.69%, 26.20%, and 15.35% in scenario I, and 25.09%, 31.45%, and 18.50% in scenario II, respectively, as compared to W/O scheduling case. The results affirm the applicability of the proposed framework in aspects of the desired objectives.

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“…In structure optimization, researchers have focused on structural improvement in three directions: heat sinks, [15][16][17][18] heat exchangers, [19][20][21][22] and thermoelectric modules (TEMs). [23][24][25][26][27] Since the heat exchanger is in direct contact with the hightemperature uid, its structural optimization can improve the efficiency of the TEG more directly and effectively. Wang et al 28 introduced dimpled surfaces in a hot heat exchanger to improve the output performance of the TEG system and reduce the pressure drop.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of an automotive thermoelectric generator with a non-isometric distributed fin heat exchanger

Wang

Luo

et al. 2022

Sustainable Energy Fuels

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Design of a novel thermoelectric module based on application stability and power generation

Cited by 37 publications

References 23 publications

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Optimal Demand-Side Management Using Flat Pricing Scheme in Smart Grid

Performance evaluation of an automotive thermoelectric generator with a non-isometric distributed fin heat exchanger

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