Topology reconstruction of the district heating network for maximizing comprehensive benefits of thermal storage DOI
Jinda Wang,

Baoqiang Pan,

Rong Lan

и другие.

Energy, Год журнала: 2024, Номер unknown, С. 134065 - 134065

Опубликована: Дек. 1, 2024

Язык: Английский

Multi-objective constructal design for quadrilateral heat generation body based on thermal-entransy theory and NSGA-II DOI
Lingen Chen, Hongwei Zhu,

Yanlin Ge

и другие.

Science China Technological Sciences, Год журнала: 2024, Номер 67(9), С. 2777 - 2786

Опубликована: Авг. 23, 2024

Язык: Английский

Процитировано

18

Minimum mass-entransy dissipation profile for one-way isothermal diffusive mass-transfer process with mass-resistance and mass-leakage DOI
Lingen Chen, Shaojun Xia

Science China Technological Sciences, Год журнала: 2024, Номер 67(8), С. 2427 - 2435

Опубликована: Июль 30, 2024

Язык: Английский

Процитировано

16

Simulation and comprehensive 4E study of a high-efficient CCHP arrangement utilizing geothermal energy and eco-friendly heat recovery DOI
Tirumala Uday Kumar Nutakki, Lioua Kolsi, Aboulbaba Eladeb

и другие.

Geothermics, Год журнала: 2024, Номер 118, С. 102916 - 102916

Опубликована: Янв. 16, 2024

Язык: Английский

Процитировано

14

Energy/freshwater sustainability in urban areas through a novel solar-driven system with H2 production/liquefaction: Techno-economic evaluation and multi-objective optimization DOI
Haoran Wei,

M. Hasanuzzaman,

Jeyraj Selvaraj

и другие.

Process Safety and Environmental Protection, Год журнала: 2024, Номер 188, С. 317 - 335

Опубликована: Май 16, 2024

Язык: Английский

Процитировано

10

Optimization of the low-load performance and emission characteristics for a heavy-duty diesel engine fueled with diesel/methanol by RSM-NSWOA DOI

Xiubin Pan,

Wei Guan,

Jinkai Gu

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 122819 - 122819

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

2

Feasibility of Optimum Energy Use and Cost Analyses by Applying Artificial Intelligence and Genetic Optimization Methods in Geothermal and Solar Energy-Assisted Multigeneration Systems DOI
Ceyhun Yılmaz, Ozan Sen

Renewable Energy, Год журнала: 2024, Номер 237, С. 121548 - 121548

Опубликована: Окт. 6, 2024

Язык: Английский

Процитировано

9

Optimizing building energy efficiency with a combined cooling, heating, and power (CCHP) system driven by boiler waste heat recovery DOI

Mashar Tavana,

Mahdi Deymi‐Dashtebayaz, Mohammad Gholizadeh

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 97, С. 110982 - 110982

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

8

Energy management in district energy systems DOI
Tahir Abdul Hussain Ratlamwala, İbrahim Dinçer

Elsevier eBooks, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Процитировано

0

Technoeconomic Feasibility of a Waste-to-Energy (WtE) Polygeneration System Implementing Circular Carbon Strategies: A Case Study for Spain DOI Creative Commons
Farzin Ahmadi, Reza Shirmohammadi, Fèlix Llovell

и другие.

Renewable Energy, Год журнала: 2025, Номер unknown, С. 123597 - 123597

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Thermodynamics modelling and optimisation of a biogas fueled decentralised poly-generation system using machine learning techniques DOI Creative Commons
Nima Ghasemzadeh, Amirreza Javaherian, Mortaza Yari

и другие.

Energy Conversion and Management X, Год журнала: 2023, Номер 20, С. 100470 - 100470

Опубликована: Окт. 1, 2023

In the forthcoming era of smart energy systems, decentralised solutions are gaining increasing prominence due to their superior adaptability for interconnecting sectors, reduced inefficiencies, and environmentally friendly operation. This study introduces a new medium-scale biogas-based power plant that utilises gas turbine meet needs specific locality, encompassing electricity, heating, cooling, water supply, all whilst considering system's environmental impact. To optimise plant's performance, three different multi-objective optimisation scenarios employing machine learning methodologies Greywolf algorithms with distinct objective functions analysed. Under base conditions, proposed showcases impressive capabilities, delivering 1372 kW 246.2 293.3 4.1 kg/s distilled water. It operates first second law thermodynamics efficiencies 72.3% 41.4%, respectively, while maintaining CO2 emission index 0.778 kgCO2/kWh. Furthermore, net present value investment return period estimated be approximately 4.4 million USD 4 years, respectively. Through (scenario 1) prioritises maximising efficiency minimising product costs impact, following parameters achieved: an exergy 42.7%, cost products at 28.8 $/GJ, 0.762 The results reveal system not only excels in but also proves economically viable beneficial.

Язык: Английский

Процитировано

8