Current energy system models have problems like supply-demand mismatch and an unreasonable energy structure. Clean energy is not economically competitive enough compared to fossil energy, which affects the sustainability and transformation of energy systems. This study introduces Renewable Energy Technology and uses Multi-Objective Programming to optimize the installed capacity. This reduces the overall cost of the energy system by improving the conversion efficiency and installed capacity of renewable energy. The proposed model reduces wastewater emissions by 89.64%, which is much higher than the other two models. It also has higher proportions of reclaimed water and waste treatment. The data show that the proposed model improves energy supply stability, is more economically competitive, and provides insights for sustainable energy system development.
MohamedFOsmanAIZhonghaoC, et al.Social, environmental, and economic consequences of integrating renewable energies in the electricity sector: a review. Environ Chem Lett2023; 21(3): 1381–1418.
2.
LeeYSYoonHJShimJW. Collective power smoothing functionality of renewable energy sources with energy storage system. J Electr Eng Technol2024; 19(3): 1141–1151.
3.
YangZYuanXHuJ, et al.The impact of the proportion of renewable energy consumption on geopolitical risks in the United States and the United Kingdom. Energy Explor Exploit2024; 42(6): 1958–1986.
4.
ChenLHuYWangR, et al.Green building practices to integrate renewable energy in the construction sector: a review. Environ Chem Lett2024; 22(2): 751–784.
5.
HofrichterARankDHeberlM, et al.Determination of the optimal power ratio between electrolysis and renewable energy to investigate the effects on the hydrogen production costs. Int J Hydrogen Energy2023; 48(5): 1651–1663.
6.
ChangGSchmausCKendallJJ, et al.An evolving blue economy: exploring the future for marine renewable energy. Mar Technol Soc J2024; 58(3): 88–93.
7.
MoisésGXuGLiJ, et al.Securing indium utilization for high-tech and renewable energy industries. Environ Sci Technol2023; 57(6): 2611–2624.
8.
LeeJYoonYTLeeGJ. Renewable energy sources: from non-dispatchable to dispatchable, and their application for power system carbon neutrality considering system reliability. J Electr Eng Technol2024; 19(4): 2015–2028.
9.
LiuDZhangCXuY, et al.Sensitivity region-based optimization for maximizing renewable generation hosting capacity of an Islanded microgrid. IEEE Trans Smart Grid2023; 14(4): 2496–2507.
10.
Tsong-ShingLTe-ChunHKuan-ChiehH. Wireless power transfer for mobile robot with capacity optimization and dynamic protection considerations. J Chin Inst Eng2023; 46(2): 128–140.
11.
MoglieMBianciniGCioccolantiL. Environmental and economic analysis of an olive mill wastewater treatment system integrated with microalgae production. Int J Life Cycle Assess2024; 29(6): 1000–1020.
12.
PathakDPKhatodDK. Development of integrated renewable energy system based on optimal operational strategy and sizing for an un-electrified remote area. IETE J Res2023; 69(7): 4531–4550.
13.
HazraSKumar RoyP. Renewable energy incorporating short-term optimal operation using oppositional grasshopper optimization. Optim Control Appl Methods2023; 44(2): 452–479.
14.
DehghaniFShafiyiMA. Integration of hybrid renewable energy sources with the power system considering their economic complementarity. IET Renew Power Gener2023; 17(15): 3638–3650.
15.
AbdelsattarMMesalamAFawziA, et al.Optimal design and analyzing the techno-economic-environmental viability for different configurations of an autonomous hybrid power system. Electr Eng2024; 106(4): 4747–4764.
16.
ZhuJRJinYZhuWLDBN, et al.Multi-objective planning of micro-grid system considering renewable energy and hydrogen storage systems with demand response. Int J Hydrogen Energy2023; 48(41): 15626–15645.
17.
LokononBKOFayeAMirzabaevA. Renewable energy adoption and rural livelihoods in Ethiopia. Nat Resour Forum2023; 47(4): 724–746.
18.
GütmenSRoySKWeberGW. An overview of weighted goal programming: a multi-objective transportation problem with some fresh viewpoints. Cent Eur J Oper Res2024; 32(3): 557–568.
19.
GuliaPKumarRViriyasitavatW, et al.A systematic review on fuzzy-based multi-objective linear programming methodologies: concepts, challenges and applications. Arch Comput Methods Eng2023; 30(8): 4983–5022.
20.
ZhuoJ. Development and implementation of smart configuration strategies for distributed energy systems through dual-layer cooperative optimization. Pollut Environ2024; 8(1): 1–9.
21.
JunghunLDongyoungLJaehyeongL, et al.Correction: offshore MTDC transmission expansion for renewable energy scale-up in Korean power system: DC highway. Journal of Electrical Engineering & Technology2023; 18(5): 3985.
