- Research Article
- 10.1016/j.egyr.2026.109037
Performance enhancement of air conditioner with evaporative cooling of intake air to the condenser using condensate water
- Jun 01, 2026
- Energy Reports
- Syed Farhan Rafid + 3 more +3
Publications from 2021 to 2026
Showing 10 of 1,895 papers
Performance enhancement of air conditioner with evaporative cooling of intake air to the condenser using condensate water
Advances and challenges in cryogenic liquefied hydrogen (LH2) maritime transportation: Thermal performance, tank design, boil-off gas management, and techno-economic considerations
Hierarchically structured and thermally robust perovskite solar cells with band-engineered double-hole layers
Balanced performance enhancement of a linear generator: Solution of conflicting parametric requirements by design optimization
A high-performance permanent magnet linear generator should have low mover mass, sufficient output power, high efficiency, and high power density. Simultaneously improving the multiple parameters of a linear generator is quite challenging due to conflicting parametric requirements. This paper proposes an advanced design optimization procedure combining particle swarm optimization and genetic algorithm to address conflicting requirements. A problem statement is presented regarding such requirements through mathematical model analysis. Simulation work is executed using a finite element-based platform, ANSYS/Maxwell. Particle swarm optimization is first applied to identify an effective stator configuration, where the generator with E 1 stator supplies 3.45 kW more power than the E 2 counterpart. On the contrary, despite a 36.46 % reduction in the mover mass of C-stator, its efficiency is 8.96 % higher than that of the linear generator with the E 1 stator. A genetic algorithm is then applied to optimize the initial C-cored design, yielding simultaneous enhancements of 7.12 % in power, 13.97 % in power density, and 3.03 % in efficiency, along with a 32.5 % reduction in mover mass. The workflow and outcomes are summarized through a structured optimization flowchart. • Identification of conflicting parameters through mathematical model analysis. • Proposal of an advanced methodology to improve multiple parameters simultaneously. • Improvement of multiple parameters concurrently despite reducing the mover mass.
Read moreCARDxnosis: Anatomico-clinical knowledge-driven explainable network with multi-domain information fusion for ECG diagnosis and report generation
Assessing the effectiveness of feature selection methods in machine learning using statistical metrics
Microwave and ultrasound assisted synergistic extraction of aromatics from food and agro-waste using DES and NADES
Synergistic enhancement of power density and energy efficiency in phosphoric acid fuel cells via near-field thermoradiative cell integration
Thermal and optical characteristics of nano-Ni0.03Zn0.97O-filled poly(vinyl alcohol) films
Performance Evaluation of Low-Cost algal ceramic membrane bioreactor for wastewater treatment operating at Non-Aeration mode and varying organic loading rates.