Economic analysis and optimal capacity sizing of turbo‐expander‐based microgrid

Abstract

These days, extensive efforts are being carried out to improve energy efficiency and energy recovery in various energy systems, such as extraction of energy from the high-pressure natural gas (NG) in pressure reduction stations (PRSs) employing a turbo-expander (TE). In conventional PRSs, NG pressure reduction is carried out by pressure regulators, leading to the loss of mechanical exergy available in the pressurised NG as heat. Thus, replacing a pressure regulator with TE allows the extraction of the mechanical exergy to change into electrical form of energy by coupling with a generator. So, a novel configuration is presented here for grid-connected microgrid based on TE. Furthermore, a new procedure is developed for optimal capacity sizing of energy resources in the proposed TE-based microgrid. Finally, optimisation results (with and without TE) and economical considerations are discussed.

Integrated energy hub system based on power‐to‐gas and compressed air energy storage technologies in the presence of multiple shiftable loads

“…Equation (4) models the area under the curve AB. Equations (5) and (6) model the upper area of curve BC and the upper area of curve CD, respectively…”

“…The main approach of these methods is to create a suitable platform based on different multi-stage optimisation models to optimise the energy flow in the integrated systems [2][3][4]. Establishing an appropriate connection between electricity and natural gas networks brings many benefits to the society (such as reducing the greenhouse gas emissions), consumers (such as decreasing energy price), and grid operators (such as boosting the power system reliability) [5][6][7]. For this reason, in recent years, the energy hub system (EHS) as an emerging concept has been utilised to supply the demands of electrical, thermal, and gas [8].…”

Construction and Optimization of Dynamic Assessment Indicators for Distribution Grid Carrying Capacity with High Proportion of Distributed Resource Connections

“…However, this index does not reflect the impact of power electronic equipment, photovoltaic grid integration, and other factors, and the traditional assessment method of load-carrying capacity does not consider voltage fluctuations and tidal current constraints, which cannot be adapted to the assessment of load carrying capacity of today's distribution system [6][7]. Therefore, the assessment method of the load-carrying capacity of the distribution network, considering the high proportion of distributed energy access, is an urgent problem to be solved [8].…”