Developing a multi-objective multi-layer model for optimal design of residential complex energy systems

2022 ◽  
Vol 138 ◽  
pp. 107889
Author(s):  
Mehdi Davoudi ◽  
Mohammad Jooshaki ◽  
Moein Moeini-Aghtaie ◽  
Mohammad Hossein Barmayoon ◽  
Morteza Aien
Keyword(s):  
Optimal Design ◽  
Energy Systems ◽  
Complex Energy ◽  
Layer Model ◽  
Multi Objective

Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands

2019 ◽  
Vol 250 ◽  
pp. 605-616 ◽  
Author(s):  
Federico Giudici ◽  
Andrea Castelletti ◽  
Elisabetta Garofalo ◽  
Matteo Giuliani ◽  
Holger R. Maier
Keyword(s):  
Optimal Design ◽  
Energy Systems ◽  
Multi Objective

scholarly journals Methods for multi-objective investment and operating optimization of complex energy systems

Energy ◽  
2012 ◽  
Vol 45 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Samira Fazlollahi ◽  
Pierre Mandel ◽  
Gwenaelle Becker ◽  
Francois Maréchal
Keyword(s):  
Energy Systems ◽  
Complex Energy ◽  
Multi Objective

scholarly journals Optimal design of energy systems using constrained grey-box multi-objective optimization

2018 ◽  
Vol 116 ◽  
pp. 488-502 ◽  
Author(s):  
Burcu Beykal ◽  
Fani Boukouvala ◽  
Christodoulos A. Floudas ◽  
Efstratios N. Pistikopoulos
Keyword(s):  
Optimal Design ◽  
Energy Systems ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals Eco-Emission Analysis of Multi-Carrier Microgrid Integrated with Compressed Air and Power-to-Gas Energy Storage Technologies

2021 ◽  
Vol 13 (9) ◽  
pp. 4681
Author(s):  
Khashayar Hamedi ◽  
Shahrbanoo Sadeghi ◽  
Saeed Esfandi ◽  
Mahdi Azimian ◽  
Hessam Golmohamadi
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
High Efficiency ◽  
Objective Assessment ◽  
Energy Systems ◽  
Vital Role ◽  
Compressed Air ◽  
Emission Analysis ◽  
Multi Objective ◽  
Power To Gas

Growing concerns about global greenhouse gas emissions have led power systems to utilize clean and highly efficient resources. In the meantime, renewable energy plays a vital role in energy prospects worldwide. However, the random nature of these resources has increased the demand for energy storage systems. On the other hand, due to the higher efficiency of multi-energy systems compared to single-energy systems, the development of such systems, which are based on different types of energy carriers, will be more attractive for the utilities. Thus, this paper represents a multi-objective assessment for the operation of a multi-carrier microgrid (MCMG) in the presence of high-efficiency technologies comprising compressed air energy storage (CAES) and power-to-gas (P2G) systems. The objective of the model is to minimize the operation cost and environmental pollution. CAES has a simple-cycle mode operation besides the charging and discharging modes to provide more flexibility in the system. Furthermore, the demand response program is employed in the model to mitigate the peaks. The proposed system participates in both electricity and gas markets to supply the energy requirements. The weighted sum approach and fuzzy-based decision-making are employed to compromise the optimum solutions for conflicting objective functions. The multi-objective model is examined on a sample system, and the results for different cases are discussed. The results show that coupling CAES and P2G systems mitigate the wind power curtailment and minimize the cost and pollution up to 14.2% and 9.6%, respectively.

scholarly journals A Multi-Objective Approach toward Optimal Design of Sustainable Integrated Biodiesel/Diesel Supply Chain Based on First- and Second-Generation Feedstock with Solid Waste Use

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2261
Author(s):  
Evgeniy Ganev ◽  
Boyan Ivanov ◽  
Natasha Vaklieva-Bancheva ◽  
Elisaveta Kirilova ◽  
Yunzile Dzhelil
Keyword(s):  
Supply Chain ◽  
Optimal Design ◽  
Solid Waste ◽  
Second Generation ◽  
Agricultural Land ◽  
Optimization Problems ◽  
Biodiesel Production ◽  
Mixed Integer ◽  
Economic Criterion ◽  
Multi Objective

This study proposes a multi-objective approach for the optimal design of a sustainable Integrated Biodiesel/Diesel Supply Chain (IBDSC) based on first- (sunflower and rapeseed) and second-generation (waste cooking oil and animal fat) feedstocks with solid waste use. It includes mixed-integer linear programming (MILP) models of the economic, environmental and social impact of IBDSC, and respective criteria defined in terms of costs. The purpose is to obtain the optimal number, sizes and locations of bio-refineries and solid waste plants; the areas and amounts of feedstocks needed for biodiesel production; and the transportation mode. The approach is applied on a real case study in which the territory of Bulgaria with its 27 districts is considered. Optimization problems are formulated for a 5-year period using either environmental or economic criteria and the remainder are defined as constraints. The obtained results show that in the case of the economic criterion, 14% of the agricultural land should be used for sunflower and 2% for rapeseed cultivation, while for the environmental case, 12% should be used for rapeseed and 3% for sunflower. In this case, the price of biodiesel is 14% higher, and the generated pollutants are 6.6% lower. The optimal transport for both cases is rail.

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