Modeling, control, and dynamic performance analysis of a reverse osmosis desalination plant integrated within hybrid energy systems

Abstract

a b s t r a c tAn RO (reverse osmosis) desalination plant is proposed as an effective, FLR (flexible load resource) to be integrated into HES (hybrid energy systems) to support various types of ancillary services to the electric grid, under variable operating conditions. To study the dynamic analysis of such system, special attention is given here to the detailed dynamic modeling and control design of RO desalination process that employs a spiral-wound membrane module. In particular, the solution-diffusion model modified with the concentration polarization theory is applied to predict RO performance over a large range of operating conditions. Simulation results involving several case studies suggest that an RO desalination plant can provide operational flexibility to participate in energy management at the utility scale by dynamically optimizing the use of excess electrical energy. The incorporation of additional commodity (fresh water) produced from a FLR allows a broader range of HES operations for maximizing overall system performance and profitability.Published by Elsevier Ltd.

Synthetic wind speed scenarios generation for probabilistic analysis of hybrid energy systems

“…Energy systems utilizing more than one type of resources or generating more than one type of energy output have been widely studied in literature [1][2][3][4][5][6][7][8][9][10]. For example, combined heat and power (CHP) systems [38][39][40][41] produce both thermal and electric outputs, while hybrid renewable energy systems (HRES) [42][43][44][45][46][47][48][49] integrate different energy resources (e.g., wind, solar, or baseload generation) to generate electricity.…”

“…(b) Fit the ARMA model into normal dataset {y t } according to equation (8) and Bayesian information criterion, yielding optimal model ARMA(p,q) with parameters p, q, φ i for i = 1, . .…”

“…Hybrid energy systems (HES) consisting of multiple energy generations/utilizations have been proposed to be an effective element to increase renewable energy penetration, [1][2][3][4][5][6][7][8][9][10]. Prior works have been focused on dynamic modeling, simulation, control, and optimization for HES [6][7][8][9][10]. These results suggest that, from both technical and economic point of view, HES can be operated under flexible operations schedules to accommodate the variability introduced from renewable generation, modern loads (such as electric vehicles), and markets.…”

Economic optimization of operations for hybrid energy systems under variable markets

“…Hybrid energy systems (HES) under flexible operations and variable energy generations/utilizations have been proposed to be an important element to enable higher penetration of clean energy generation, e.g., renewable and nuclear options, [1][2][3][4][5][6][7][8][9]. HES typically integrate multiple energy inputs (e.g., nuclear and renewable energy) and multiple energy outputs (e.g., electricity, gasoline, and fresh water) using complementary energy conversion processes.…”

“…Prior works have been focused on dynamic modeling and simulation of diverse unit operations, together with their integration, control, and dynamic property characterization [5][6][7][8]. These results suggest that, from a technical point of view, HES can be operated under flexible operations schedules to accommodate the variability introduced from renewable generation, modern loads (such as electric vehicles), and markets.…”