Newcastle University
Browse
DATASET
resorption power generation with reheating_SrCl2-NaBr.csv (3.28 kB)
DATASET
resorption power generation-basic-without reheating_SrCl2-MnCl2.csv (4.03 kB)
DATASET
resorption power generation with reheating_SrCl2-MnCl2.csv (5.18 kB)
DATASET
resorption power generation with reheating_MnCl2-SrCl2.csv (3.17 kB)
DATASET
resorption power generation with reheating.xlsx (68.48 kB)
DATASET
resorption power generation with reheating_MnCl2-NaBr.csv (2.76 kB)
DATASET
resorption power generation with reheating_NaBr-MnCl2.csv (6.37 kB)
DATASET
resorption power generation-basic-without reheating_MnCl2-NaBr.csv (4 kB)
DATASET
resorption power generation-basic-without reheating_NaBr-MnCl2.csv (4.06 kB)
DATASET
resorption power generation with reheating_random couplingsofcogeneration.csv (23.15 kB)
DATASET
resorption power generation-basic-without reheating.xlsx (44.67 kB)
DATASET
resorption power generation-basic-without reheating_NaBr-SrCl2.csv (4.04 kB)
DATASET
resorption power generation-basic-without reheating_SrCl2-NaBr.csv (2.11 kB)
DATASET
resorption power generation with reheating_NaBr-SrCl2.csv (5.28 kB)
DATASET
resorption power generation-basic-without reheating_MnCl2-SrCl2.csv (7.62 kB)
1/0
15 files

An optimised chemisorption cycle for power generation using low grade heat

dataset
posted on 2016-01-01, 00:00 authored by H Bao, Z Ma, AP Roskilly
Based on the integrated resorption cycle with a turbine/expander for power generation, an innovative advanced resorption power generation cycle with reheating process was proposed to substantially improve the power output and energy and exergy efficiencies, which can realise continuous waste heat recovery and quasi-continuous power generation. The performance of such an optimised cycle using different sorbent pairs, MnCl2-NaBr, MnCl2-SrCl2 and SrCl2-NaBr, respectively, were parametrically investigated and compared in terms of power generation capacity, energy efficiency and exergy efficiency. The parametrical investigation was conducted using Matlab integrated with the database NIST REFPROP 9.1.

History

Usage metrics

    Newcastle University

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC