Application of ORC to reduce the energy penalty of carbon capture in non-stationary ICE

Mariaca, Alexander García; Llera‐Sastresa, Eva; Moreno, Francisco Grimaldo

doi:10.1016/j.enconman.2022.116029

Cited by 11 publications

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In future research, these hybrid solutions must be evaluated using techniques such as artificial intelligence neural methods or specialised software such as The Software Hybrid Optimization Model for Electric Renewable (HOMER) [51,54]. Additionally, to reduce experimental test costs with ICE, software based on computational fluid dynamics should be used to ascertain the performance and emissions of an engine [4,[55][56][57]. In some research studies, new mathematical models, machine learning, soft computing and artificial intelligence are used nowadays to predict the combustion, performance, and emissions parameters of ICEs [58][59][60][61].…”

Section: Discussionmentioning

confidence: 99%

Performance and Emissions of a CI-ICE Fuelled with Jatropha Biodiesel Blends and Economic and Environment Assessment for Power Generation in Non-Interconnected Areas

et al. 2023

Self Cite

View full text Add to dashboard Cite

An experimental investigation into the effects of Jatropha biodiesel (JB) blends on the performance and emissions of a diesel engine was performed, and an economic and environmental assessment of the Jatropha curcas L. (JCL) crop for JB production and its use was also presented. The results revealed that when the engine operates with JB blends in proportions of up to 10%, the brake-specific fuel consumption (BSFC) increases to 37.5% at full engine load, and the engine’s thermal efficiency is reduced by 10% regarding diesel operation. A reduction in the specific emissions of carbon monoxide, unburned hydrocarbons, and particulate matter with JB blends of up to 75% of the engine load was found. On the other hand, specific carbon dioxide and nitrogen oxide emissions, with regard to diesel, increased by 21.8 and more than 100%, respectively. The lower heating value (LHV) was the property that most influenced the engine’s performance and emissions fuelled with JB blends, because JB has a lower value of LHV than diesel. Finally, the economic and environmental assessment showed that Colombian soil is well-suited to JCL crops. The use of JB instead of palm biodiesel could mean a decrease of 27,730 USD/day and 1588 kg/day of CO2 emissions.

show abstract