Enhancing Economic and Environmental Performance of Energy Communities: A Multi-Objective Optimization Approach with Mountain Gazelle Optimizer DOI

Zheng Hong,

Zhixin Wu

Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер unknown, С. 101098 - 101098

Опубликована: Фев. 1, 2025

Язык: Английский

An integrated approach for cost-and emission optimal planning of coastal microgrid with demand-side management DOI

Samir M. Dawoud,

Mohamed R. Elkadeem, M. A. Abido

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105149 - 105149

Опубликована: Дек. 23, 2023

Язык: Английский

Процитировано

11

Design optimization of community energy systems based on dual uncertainties of meteorology and load for robustness improvement DOI

Kai Xue,

Jinshi Wang, Shuo Zhang

и другие.

Renewable Energy, Год журнала: 2024, Номер 232, С. 120956 - 120956

Опубликована: Июль 18, 2024

Язык: Английский

Процитировано

4

Energy Communities for the Decarbonization of Historical Villages: A Case Study in Italy DOI Creative Commons
Silvia Brunoro, Emanuele Piaia

Lecture notes in civil engineering, Год журнала: 2025, Номер unknown, С. 1137 - 1148

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Economic–Energy–Environmental Optimization of a Multi-Energy System in a University District DOI Creative Commons

L. Bacci,

Enrico Dal Cin, Gianluca Carraro

и другие.

Energies, Год журнала: 2025, Номер 18(2), С. 413 - 413

Опубликована: Янв. 18, 2025

The integration of energy generation and consumption is one the most effective ways to reduce energy-system-related waste, costs, emissions in cities. This paper considers a university district consisting 32 buildings where electrical demand currently met by national grid, 31% thermal supplied centralized heating station through network; remainder covered small, dedicated boilers. Starting from present system, goal identify “retrofit” design solutions cost, environmental impact, primary district. To this end, three new configurations multi-energy system (MES) are proposed considering (i) installation conversion storage units, (ii) enlargement existing network, (iii) inclusion branches network. differ increasing levels networks. results show that cogeneration engines leads significant benefits both economic (up −12.3% total annual costs) −10.2% consumption) terms; these increase as level increases. On other hand, limited availability space for photovoltaics increased CO2 when only cost minimization considered. However, accepting 8.4% over least expensive solution, reduction (−23.9%) can be achieved while still keeping costs lower than MES.

Язык: Английский

Процитировано

0

Enhancing Economic and Environmental Performance of Energy Communities: A Multi-Objective Optimization Approach with Mountain Gazelle Optimizer DOI

Zheng Hong,

Zhixin Wu

Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер unknown, С. 101098 - 101098

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0