open access publication

Article, 2024

Process design, integration, and optimization of a novel compressed air energy storage for the coproduction of electricity, cooling, and water

Renewable and Sustainable Energy Reviews, ISSN 1879-0690, 1364-0321, Volume 189, Page 114034, 10.1016/j.rser.2023.114034

Contributors

Alirahmi, Seyed Mojtaba 0000-0002-5447-8056 [1] Gundersen, Truls 0000-0003-2553-5725 [2] Arabkoohsar, Ahmad 0000-0002-8753-5432 [3] Klemeš, Jirří Jaromír 0000-0002-7450-7029 [4] Sin, Gtirkan 0000-0003-0513-4502 [3] Yu, Haoshui 0000-0002-9256-852X (Corresponding author) [1]

Affiliations

  1. [1] Aalborg University
    2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Norwegian University of Science and Technology
    3. [NORA names: Norway; Europe, Non-EU; Nordic; OECD];
  3. [3] Technical University of Denmark
    4. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  4. [4] Brno University of Technology
    5. [NORA names: Czechia; Europe, EU; OECD]

Abstract

The use of fluctuating renewable energy over a certain threshold may lead to an unmanageable mismatch between the electricity generation and demand profiles threatening the grid's stability. In this study, an innovative complex energy storage/conversion system is proposed for the cogeneration of electricity, cooling, and water by integrating the liquefied natural gas (LNG) regasification process, an organic Rankine cycle, a compressed air energy storage (CAES) system, and a multi-effect distillation unit. The study attempts to minimize the CO2 emission from the CAES technology while addressing interruptions and reductions in the grid upon the extensive use of intermittent renewables. In addition, the proposed system uses excess power and waste heat during the charging and discharging of the CAES to regasify LNG and produce fresh water. The reference system performance is analyzed considering thermodynamic, economic, and environmental perspectives. The multi-objective grasshopper optimization algorithm is used to make a trade-off between the technical, economic, and environmental performance factors of the system. The results show an exergy efficiency of 50.6 % and a total cost rate of 322.8 $/h for the proposed system at the TOPSIS optimal point. The Grassmann diagram indicates the combustion chamber is the main source of irreversibility, and the Chord diagram revealed the discharge unit was responsible for more than 55 % of the total cost.

Keywords

CO2, CO2 emissions, Grassmann, Grassmann diagrams, Rankine cycle, air, air energy storage, algorithm, chamber, charge, chord, chord diagrams, cogeneration, cogeneration of electricity, combustion, combustion chamber, compressed air energy storage, compressed air energy storage technology, cooling, coproduction, coproduction of electricity, cost, cycle, demand, demand profiles, design, diagram, discharge, discharge unit, distillation unit, efficiency, electricity, electricity generation, emission, energy, energy storage, environmental perspective, excess power, exergy, exergy efficiency, factors, fluctuating renewable energy, fresh water, gas, generation, grasshopper optimization algorithm, grid, grid stability, heat, integration, intermittent renewables, interruption, irreversibility, liquefied natural gas, mismatch, multi-effect distillation unit, multi-objective grasshopper optimization algorithm, natural gas, optimal point, optimization, optimization algorithm, organic Rankine cycle, performance, performance factors, perspective, point, power, process, process design, profile, rate, reduction, regasification, regasification process, regasify liquefied natural gas, renewable energy, renewal, results, source, sources of irreversibility, stability, storage, study, system, technology, threshold, units, waste, waste heat, water

Funders

  • Czech Academy of Sciences

Data Provider: Digital Science

LINKS
-

Matching Records in NORA

SUBJECTS
+

METRICS
+