Assessment of CO2 Emissions Reduction Potential by Using an Optimization Model for Regional Energy Supply Systems

Remaining useful life (RUL) is of great importance to energy supply systems, such as battery pack. In this paper, an optimization model of RUL for the paralleled battery pack on expansion mode is proposed based on the basic concept of RUL and the capacity fading model. genetic algorithm (GA) is adopted to solve the problem. Case study shows that the battery pack's RUL can be extended by using the optimization model and GA.

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Energy, cost, and carbon dioxide optimization of disaggregated, regional energy-supply systems

Energy ◽

10.1016/0360-5442(93)90009-3 ◽

1993 ◽

Vol 18 (12) ◽

pp. 1187-1205 ◽

Cited By ~ 18

Author(s):

H.-M. Groscurth ◽

Th. Bruckner ◽

R. Kümmel

Keyword(s):

Carbon Dioxide ◽

Energy Cost ◽

Energy Supply ◽

Regional Energy ◽

Supply Systems ◽

Energy Supply Systems

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The Transition Pathway of Energy Supply Systems towards Carbon Neutrality Based on a Multi-regional Energy Infrastructure Planning Approach: A Case Study of China

Energy ◽

10.1016/j.energy.2021.122037 ◽

2021 ◽

pp. 122037

Author(s):

Siming Song ◽

Tianxiao Li ◽

Pei Liu ◽

Zheng Li

Keyword(s):

Energy Supply ◽

Infrastructure Planning ◽

Energy Infrastructure ◽

Carbon Neutrality ◽

Regional Energy ◽

Planning Approach ◽

Supply Systems ◽

Energy Supply Systems

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A Methodological Approach to Assessing the Possible Effect of Distributed Generation Expansion on Regional Energy Supply Systems

Energy Systems Research ◽

10.38028/esr.2021.02.0006 ◽

2021 ◽

pp. 64-69

Author(s):

E. Galperova

Keyword(s):

Electric Power ◽

Distributed Generation ◽

Energy Supply ◽

Power Plants ◽

Methodological Approach ◽

Electric Power Industry ◽

Optimization Method ◽

Regional Energy ◽

Supply Systems ◽

Energy Supply Systems

One of the new challenges arising from the transition of the energy industry to the path of intelligent development is to assess the effect of distributed generation (DG) on the prospects for the development of regional energy supply systems. Such an assessment requires that the factors characterized by high uncertainty be taken into account. In this case, it is expedient to employ a combination of the optimization method with the Monte Carlo method. Such an approach has already been adopted in a model (computer program) developed at the Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences. This model is designed to determine the rational mix of new power plants (with investment risks assessed and factored in) and the likely cost of electricity generation in a given aggregated region. We propose using this model as a source of projected data for an approximate assessment of the DG expansion, given the projected conditions for the energy sector and electric power industry development. It may also provide the basis for an array of research tools for relevant studies. The new toolkit requires a more detailed representation of the administrative division and the inclusion of consumers with their sources of electric power generation in the generating capacity. Although such an estimate is approximate, it can give an overall idea of the extent to which the cost and demand for electricity may vary under different options for the DG expansion in a region.

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Optimal location of electrical substations in regional energy supply systems

Proceedings of 19th Convention of Electrical and Electronics Engineers in Israel ◽

10.1109/eeis.1996.566956 ◽

2002 ◽

Cited By ~ 7

Author(s):

K. Yahav ◽

G. Oron

Keyword(s):

Energy Supply ◽

Optimal Location ◽

Regional Energy ◽

Supply Systems ◽

Energy Supply Systems

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Energy Pathways for Future Norwegian Residential Building Areas

Energies ◽

10.3390/en14040934 ◽

2021 ◽

Vol 14 (4) ◽

pp. 934

Author(s):

Natasa Nord ◽

Yiyu Ding ◽

Ola Skrautvol ◽

Stian Fossmo Eliassen

Keyword(s):

Co2 Emissions ◽

Energy Supply ◽

Housing Stock ◽

Residential Building ◽

High Energy ◽

Energy Sources ◽

Existing Buildings ◽

Supply Systems ◽

Energy Supply Systems ◽

Energy Pathways

Owing to stricter building energy requirements, future buildings will be characterized by low base loads and occasional high peaks. However, future building areas will still contain existing and historical buildings with high energy demand. Meanwhile, there is a requirement that future building areas should obtain energy from renewable energy sources, while existing buildings need to be transited to renewables. Therefore, the aim of this study was to develop an approach for modelling energy pathways for future Norwegian residential building areas by analyzing different energy supply systems. Several calculation methods were combined: building simulation, energy supply technology simulation, heat demand aggregation, and data post-processing. The results showed that the energy pathways would be very dependent on CO2-factors for energy sources, and it is hard to predict accurate CO2-factors. An increasing housing stock development would slightly increase the CO2 emissions towards 2050, although the new buildings used much less energy and the existing buildings underwent renovation. A constant housing stock would yield a 22–27% reduction of CO2 emissions by 2050. This showed that implementing stricter building codes had a lower impact on the total CO2 emissions than CO2-factors and energy technologies. The focus should lie on energy supply systems.

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Developing a Web-based Application for Energy Supply Systems

ICONIET PROCEEDING ◽

10.33555/iconiet.v2i3.28 ◽

2019 ◽

Vol 2 (3) ◽

pp. 164-169

Author(s):

Mohammed Faza ◽

Maulahikmah Galinium ◽

Matthias Guenther

Keyword(s):

Energy Supply ◽

Power Plants ◽

Acceptance Testing ◽

Design Activity ◽

Unit Testing ◽

Validity Testing ◽

Energy Supply System ◽

Time Series Modelling ◽

Supply Systems ◽

Energy Supply Systems

An energy supply system consists of a system of power plants and transmission anddistribution systems that supply electrical energy. The present project is limited to the modellingof the generation system. Its objective is the design and implementation of a web-basedapplication for simulating energy supply systems using the Laravel framework. The projectfocuses on six modules representing geothermal energy, solar energy, biopower, hydropower,storage, and fossil-based energy that are allocated to satisfy a given power demand. It isexecuted as a time series modelling for an exemplary year with hourly resolution. Thedevelopment of the software is divided into four steps, which are the definition of the userrequirements, the system design (activity, use case, system architecture, and ERD), the softwaredevelopment, and the software testing (unit testing, functionality testing, validity testing, anduser acceptance testing). The software is successfully implemented. All the features of thesoftware work as intended. Also, the software goes through validity testing using three differentinput data, to make sure the software is accurate. The result of the testing is 100% accuracy withrespect to the underlying model that was implemented in an excel calculation.

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