scholarly journals Optimal design of distributed energy systems in rural area of developing country: a case study of Guanzhong area, China

2018 ◽  
Vol 192 ◽  
pp. 012049
Author(s):  
Y Zhu ◽  
X X Yan ◽  
Q L Tong
Keyword(s):  
Optimal Design ◽  
Developing Country ◽  
Rural Area ◽  
Energy Systems ◽  
Distributed Energy

Design and Optimization of Integrated Distributed Energy Systems for Off-grid Buildings

2021 ◽  
pp. 1-27
Author(s):  
Jian Zhang ◽  
Heejin Cho ◽  
Pedro Mago
Keyword(s):  
Energy Storage ◽  
Optimal Design ◽  
Power Systems ◽  
Thermal Energy ◽  
Waste Heat ◽  
Carbon Dioxide Emission ◽  
Energy Systems ◽  
Solar Thermal ◽  
Solar Thermal Energy ◽  
Distributed Energy

Abstract Off-grid concepts for homes and buildings have been a fast-growing trend worldwide in the last few years because of the rapidly dropping cost of renewable energy systems and their self-sufficient nature. Off-grid homes/buildings can be enabled with various energy generation and storage technologies, however, design optimization and integration issues have not been explored sufficiently. This paper applies a multi-objective genetic algorithm (MOGA) optimization to obtain an optimal design of integrated distributed energy systems for off-grid homes in various climate regions. Distributed energy systems consisting of renewable and non-renewable power generation technologies with energy storage are employed to enable off-grid homes/buildings and meet required building electricity demands. In this study, the building types under investigation are residential homes. Multiple distributed energy resources are considered such as combined heat and power systems (CHP), solar photovoltaic (PV), solar thermal collector (STC), wind turbine (WT), as well as battery energy storage (BES) and thermal energy storage (TES). Among those technologies, CHP, PV, and WT are used to generate electricity, which satisfies the building's electric load, including electricity consumed for space heating and cooling. Solar thermal energy and waste heat recovered from CHP are used to partly supply the building's thermal load. Excess electricity and thermal energy can be stored in the BES and TES for later use. The MOGA is applied to determine the best combination of DERs and each component's size to reduce the system cost and carbon dioxide emission for different locations. Results show that the proposed optimization method can be effectively and widely applied to design integrated distributed energy systems for off-grid homes resulting in an optimal design and operation based on a trade-off between economic and environmental performance.

Optimal design of distributed energy systems for industrial parks under gas shortage based on augmented ε-constraint method

2019 ◽  
Vol 218 ◽  
pp. 782-795 ◽  
Author(s):  
Xiaokai Xing ◽  
Yamin Yan ◽  
Haoran Zhang ◽  
Yin Long ◽  
Yufei Wang ◽  
...  
Keyword(s):  
Optimal Design ◽  
Energy Systems ◽  
Distributed Energy ◽  
Industrial Parks ◽  
Constraint Method

scholarly journals Optimal Design of a Distributed Energy System Using the Functional Interval Model That Allows Reduced Carbon Emissions in Guanzhong, a Rural Area of China

2019 ◽  
Vol 11 (7) ◽  
pp. 1930 ◽  
Author(s):  
Ying Zhu ◽  
Quanling Tong ◽  
Xueting Zeng ◽  
Xiaxia Yan ◽  
Yongping Li ◽  
...  
Keyword(s):  
Optimal Design ◽  
Rural Area ◽  
Lower Bounds ◽  
Carbon Emission ◽  
Energy System ◽  
Upper And Lower Bounds ◽  
Distributed Energy ◽  
Emission Mitigation ◽  
Distributed Energy System ◽  
Carbon Emission Mitigation

Nowadays, rural power supply in China plays an important role in restricting the economic development and improvement of residential living standards. In this study, an interval full-infinite programming rural energy model (IFIP-REM) was developed for supporting distributed energy system (DES) optimal design under uncertainties in rural areas. By affecting the upper and lower bounds of the interval by complex and variable external conditions, IFIP-REM could simulate the influence of external systems. To validate the model, a real case study of DES optimal design in Guanzhong, a rural area of China, was tested and aimed to minimize system cost and constraints of resources, energy supply reliability, and carbon emission mitigation. The data revealed generation of reasonable optimization schemes to obtain interval solutions of IFIP-REM. Compared to centralized energy system (CES), DES reduced electricity purchasing of the municipal grid by 47.5% and extended carbon emission of both upper and lower bounds to [17.13, 44.51] % and [12.42, 36.02] %, respectively. Overall, the proposed model could help managers make decisions of DES optimal design by coordinating conflicts among economic cost, system efficiency, and carbon emission mitigation.

A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level

Energy ◽  
2012 ◽  
Vol 44 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Eugenia D. Mehleri ◽  
Haralambos Sarimveis ◽  
Nikolaos C. Markatos ◽  
Lazaros G. Papageorgiou
Keyword(s):  
Optimal Design ◽  
Mathematical Programming ◽  
Energy Systems ◽  
Programming Approach ◽  
Distributed Energy ◽  
Neighbourhood Level ◽  
Mathematical Programming Approach

scholarly journals Performance and Benefits of Distributed Energy Systems in Cooling Dominated Regions: A Case Study

2017 ◽  
Vol 142 ◽  
pp. 1991-1996 ◽  
Author(s):  
Jing Kang ◽  
Shengwei Wang ◽  
Wenjie Gang
Keyword(s):  
Energy Systems ◽  
Distributed Energy
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