Article: Optimum and multi-objective operation based on the economic and pollution aspects of a multiple energy system in connection with the upstream electricity and natural gas networks, considering renewable sources Journal: International Journal of Environmental Engineering (IJEE) 2025 Vol.13 No.4 pp.356 - 374 Abstract: This study addresses the environmental challenges posed by growing reliance on fossil fuels, highlighting the urgent need for sustainable energy systems amid rising fuel consumption and limited non-renewable resources. The research focuses on improving the efficiency of a multi-energy system integrated with both electric and natural gas networks, aiming to meet thermal and electrical demands sustainably. The proposed model pursues dual objectives: minimising operational costs and reducing greenhouse gas emissions. Renewable sources, including solar panels and wind turbines, are employed, while a scenario generation technique manages the uncertainties of renewable energy production. Optimisation is performed using the simple augmented ε-constraint method (ECM), and the fuzzy min-max approach selects the most balanced outcome. Simulation results demonstrate superior performance over traditional methods by avoiding suboptimal solutions. This work offers valuable insights into integrating renewable energy with advanced optimisation techniques for environmentally and economically efficient multi-energy systems. Inderscience Publishers - linking academia, business and industry through research

Title: Optimum and multi-objective operation based on the economic and pollution aspects of a multiple energy system in connection with the upstream electricity and natural gas networks, considering renewable sources

Authors: Fan Bu; Weihao Ren

Addresses: Hebei Software Institute, Nanshi Qu, Baoding, Hebei, China ' Hebei Software Institute, Nanshi Qu, Baoding, Hebei, China

Abstract: This study addresses the environmental challenges posed by growing reliance on fossil fuels, highlighting the urgent need for sustainable energy systems amid rising fuel consumption and limited non-renewable resources. The research focuses on improving the efficiency of a multi-energy system integrated with both electric and natural gas networks, aiming to meet thermal and electrical demands sustainably. The proposed model pursues dual objectives: minimising operational costs and reducing greenhouse gas emissions. Renewable sources, including solar panels and wind turbines, are employed, while a scenario generation technique manages the uncertainties of renewable energy production. Optimisation is performed using the simple augmented ε-constraint method (ECM), and the fuzzy min-max approach selects the most balanced outcome. Simulation results demonstrate superior performance over traditional methods by avoiding suboptimal solutions. This work offers valuable insights into integrating renewable energy with advanced optimisation techniques for environmentally and economically efficient multi-energy systems.

Keywords: multi-energy systems; renewable energy integration; multi-objective optimisation; load management program; LMP; simple augmented ε-constraint method; fuzzy min-max decision method; greenhouse gas emissions reduction; scenario-based uncertainty modelling.

DOI: 10.1504/IJEE.2025.151269

International Journal of Environmental Engineering, 2025 Vol.13 No.4, pp.356 - 374

Received: 10 Jun 2025
Accepted: 08 Aug 2025
Published online: 20 Jan 2026 *

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Title: Optimum and multi-objective operation based on the economic and pollution aspects of a multiple energy system in connection with the upstream electricity and natural gas networks, considering renewable sources

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