Andrew Martin

Prof. Andrew Martin

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2016 in Chemical Engineering Journal
Verified
Journal Article
Closed access
DWDaniel Woldemariam
Daniel Woldemariam
AKAlaa Kullab
Alaa Kullab
UFUwe Fortkamp
Uwe Fortkamp
JMJörgen Magner
Jörgen Magner
HRHugo Royen
Hugo Royen
AMAndrew Martin
Andrew Martin

1 December 2015 in Energy
Verified
Journal Article
Closed access
EKErshad Ullah Khan
Ershad Ullah Khan
AMAndrew Martin
Andrew Martin

1 February 2019 in Journal of Energy Storage
Verified
Journal Article
Closed access
GLGuido Lorenzi
Guido Lorenzi
RVRicardo Da Silva Vieira
Ricardo Da Silva Vieira
Carlos SilvaCarlos Silva
Carlos Silva
AMAndrew Martin
Andrew Martin

8 October 2014 in Energies
Verified
Journal Article
Open access
PDF file
GMGowtham Mohan
Gowtham Mohan
SDSujata Dahal
Sujata Dahal
Tirumala Uday Kumar NutakkiTirumala Uday Kumar Nutakki
Tirumala Uday Kumar Nutakki
AMAndrew Martin
Andrew Martin
HKHamid Kayal
Hamid Kayal
Tri-generation is one of the most efficient ways for maximizing the utilization of available energy. Utilization of waste heat (flue gases) liberated by the Al-Hamra gas turbine power plant is analyzed in this research work for simultaneous production of: (a) electricity by combining steam rankine cycle using heat recovery steam generator (HRSG); (b) clean water by air gap membrane distillation (AGMD) plant; and (c) cooling by single stage vapor absorption chiller (VAC). The flue gases liberated from the gas turbine power cycle is the prime source of energy for the tri-generation system. The heat recovered from condenser of steam cycle and excess heat available at the flue gases are utilized to drive cooling and desalination cycles which are optimized based on the cooling energy demands of the villas. Economic and environmental benefits of the tri-generation system in terms of cost savings and reduction in carbon emissions were analyzed. Energy efficiency of about 82%–85% is achieved by the tri-generation system compared to 50%–52% for combined cycles. Normalized carbon dioxide emission per MW·h is reduced by 51.5% by implementation of waste heat recovery tri-generation system. The tri-generation system has a payback period of 1.38 years with cumulative net present value of $66 million over the project life time.

1 August 2017 in International Journal of Chronic Obstructive Pulmonary Disease
Verified
Journal Article
Open access
PDF file
JCJohn Z Chen
John Z Chen
IKIra M Katz
Ira M Katz
MPMarine Pichelin
Marine Pichelin
KZKaixian Zhu
Kaixian Zhu
GCGeorges Caillibotte
Georges Caillibotte
AMAndrew Martin
Andrew Martin
Background: Portable oxygen concentrators (POCs) typically include pulse flow (PF) modes to conserve oxygen. The primary aims of this study were to develop a predictive in vitro model for inhaled oxygen delivery using a set of realistic airway replicas, and to compare PF for a commercial POC with steady flow (SF) from a compressed oxygen cylinder. Methods: Experiments were carried out using a stationary compressed oxygen cylinder, a POC, and 15 adult nasal airway replicas based on airway geometries derived from medical images. Oxygen delivery via nasal cannula was tested at PF settings of 2.0 and 6.0, and SF rates of 2.0 and 6.0 L/min. A test lung simulated three breathing patterns representative of a chronic obstructive pulmonary disease patient at rest, during exercise, and while asleep. Volume-averaged fraction of inhaled oxygen (FiO2) was calculated by analyzing oxygen concentrations sampled at the exit of each replica and inhalation flow rates over time. POC pulse volumes were also measured using a commercial O2 conserver test system to attempt to predict FiO2 for PF. Results: Relative volume-averaged FiO2 using PF ranged from 68% to 94% of SF values, increasing with breathing frequency and tidal volume. Three of 15 replicas failed to trigger the POC when used with the sleep breathing pattern at the 2.0 setting, and four of 15 replicas failed to trigger at the 6.0 setting. FiO2 values estimated from POC pulse characteristics followed similar trends but were lower than those derived from airway replica experiments. Conclusion: For the POC tested, PF delivered similar, though consistently lower, volume-averaged FiO2 than SF rates equivalent to nominal PF settings. Assessment of PF oxygen delivery using POC pulse characteristics alone may be insufficient; testing using airway replicas is useful in identifying possible cases of failure and may provide a better assessment of FiO2.

28 November 2018 in Biomass Conversion and Biorefinery
Verified
Journal Article
Open access
PDF file
EBEyerusalem Birru
Eyerusalem Birru
CECatharina Erlich
Catharina Erlich
AMAndrew Martin
Andrew Martin
In this study, energy-related operational parameters for modern and traditional (conventional) sugar mills are analyzed, with the goals of identifying improvements in energy efficiency and potential for surplus electricity export. Results show that the power-to-heat ratio of modern and traditional mills is clearly distinct, lying in the ranges of 0.3–0.5 and 0.04–0.07, respectively. Modifications under consideration for the traditional mills include the following upgrades: electric drives and higher capacity back-pressure turbine (case 1); high-pressure boiler, condensing extraction steam turbine and electric drives (case 2); and improvements in case 2 plus bagasse drying (case 3). The thermodynamic impact of these modifications shows that more power is generated as the modification becomes more advanced. Case 1 exhibits a modest increase in cogeneration efficiency (4%) as compared to the base case, while the cogeneration efficiency increase is more marked for cases 2 and 3 (21% and 31%, respectively). Surplus power was studied in a regional context, where it was found that the contribution of 19 retrofitted sugar mills in nine Brazilian regions could supply 30% or more power as compared to current installed power capacity. The economic analysis showed that levelized cost of electricity (LCOE) was lowest for case 1 (11 USD/MWh) and highest for cases 2 and 3 (58 USD/kWh).