
International Journal of Refrigeration, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 1, 2024
Language: Английский
International Journal of Refrigeration, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 1, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134251 - 134251
Published: Dec. 1, 2024
Language: Английский
Citations
6Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110616 - 110616
Published: Sept. 1, 2024
Language: Английский
Citations
5International Journal of Refrigeration, Journal Year: 2023, Volume and Issue: 158, P. 329 - 344
Published: Nov. 29, 2023
Language: Английский
Citations
12International Journal of Refrigeration, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 320, P. 118994 - 118994
Published: Sept. 4, 2024
Language: Английский
Citations
3International Journal of Refrigeration, Journal Year: 2024, Volume and Issue: 163, P. 56 - 70
Published: April 22, 2024
Language: Английский
Citations
2Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 319, P. 118969 - 118969
Published: Aug. 28, 2024
Language: Английский
Citations
2Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134095 - 134095
Published: Dec. 1, 2024
Language: Английский
Citations
1Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 100, P. 111687 - 111687
Published: Dec. 26, 2024
Language: Английский
Citations
1Energy Science & Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 1, 2024
Abstract Nowadays, the use of hybrid systems has become very common all over world. In this study, aim is to minimize grid energy provide heating and cooling with help a heat pump equipped flat solar collector, phase change material (PCM), photovoltaic (PV) panels. To achieve best results, numerical dynamic model consisting different PV panels in three models, batteries, inverters, along collector PCM been modeled by solving Engineering Equation Solver (EES) TRNSYS software. According proposed scenarios, multi‐objective optimization done simultaneously improve study answers several sections particle swarm algorithm MATLAB Also, economic environmental also presented separately for comparing reviewing solutions. The results show that amount lifecycle cost (LCC) when using polycrystalline panel 21.26% lower than monocrystalline 38.71% higher thin film panel. As result, according specific conditions attitude, you can choose desired system. optimization, it was found system related panel, volume used equal 1 , number 18, minimum LCC $3929.08.
Language: Английский
Citations
0