scholarly journals Research on coordinated development of urban energy system and economic system--Based on coupling coordination model

2020 ◽  
Vol 467 ◽  
pp. 012196
Author(s):  
Xueyao Bi ◽  
Bingjing Niu ◽  
Xuedong Liang ◽  
Congjian Li
Keyword(s):  
Economic System ◽  
Energy System ◽  
Coordinated Development ◽  
Coordination Model ◽  
Urban Energy

scholarly journals A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model

Resources ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 52
Author(s):  
Annette Steingrube ◽  
Keyu Bao ◽  
Stefan Wieland ◽  
Andrés Lalama ◽  
Pithon M. Kabiro ◽  
...  
Keyword(s):  
District Heating ◽  
Energy Systems ◽  
Energy System ◽  
Heat Pumps ◽  
Energy Simulation ◽  
Heating Systems ◽  
Optimal Amount ◽  
Urban City ◽  
Urban Energy ◽  
Building Level

District heating is seen as an important concept to decarbonize heating systems and meet climate mitigation goals. However, the decision related to where central heating is most viable is dependent on many different aspects, like heating densities or current heating structures. An urban energy simulation platform based on 3D building objects can improve the accuracy of energy demand calculation on building level, but lacks a system perspective. Energy system models help to find economically optimal solutions for entire energy systems, including the optimal amount of centrally supplied heat, but do not usually provide information on building level. Coupling both methods through a novel heating grid disaggregation algorithm, we propose a framework that does three things simultaneously: optimize energy systems that can comprise all demand sectors as well as sector coupling, assess the role of centralized heating in such optimized energy systems, and determine the layouts of supplying district heating grids with a spatial resolution on the street level. The algorithm is tested on two case studies; one, an urban city quarter, and the other, a rural town. In the urban city quarter, district heating is economically feasible in all scenarios. Using heat pumps in addition to CHPs increases the optimal amount of centrally supplied heat. In the rural quarter, central heat pumps guarantee the feasibility of district heating, while standalone CHPs are more expensive than decentral heating technologies.

Multi-Scale, Multi-Dimensional Modelling of Future Energy Systems

2015 ◽  
pp. 113-135 ◽  
Author(s):  
Catalina Spataru ◽  
Andreas Koch ◽  
Pierrick Bouffaron
Keyword(s):  
Material Science ◽  
Control Strategies ◽  
Energy Systems ◽  
Simulation Models ◽  
Energy System ◽  
System Modelling ◽  
Multi Scale ◽  
Future Challenges ◽  
Urban Energy ◽  
Power System Engineering

This chapter provides a discussion of current multi-scale energy systems expressed by a multitude of data and simulation models, and how these modelling approaches can be (re)designed or combined to improve the representation of such system. It aims to address the knowledge gap in energy system modelling in order to better understand its existing and future challenges. The frontiers between operational algorithms embedded in hardware and modelling control strategies are becoming fuzzier: therefore the paradigm of modelling intelligent urban energy systems for the future has to be constantly evolving. The chapter concludes on the need to build a holistic, multi-dimensional and multi-scale framework in order to address tomorrow's urban energy challenges. Advances in multi-scale methods applied to material science, chemistry, fluid dynamics, and biology have not been transferred to the full extend to power system engineering. New tools are therefore necessary to describe dynamics of coupled energy systems with optimal control.

scholarly journals Investigate the Relationship between Urbanization and Industrialization using a Coordination Model: A Case Study of China

2020 ◽  
Vol 12 (3) ◽  
pp. 916
Author(s):  
Luo ◽  
Xiang ◽  
Wang
Keyword(s):  
Economic Development ◽  
Industrial Structure ◽  
Value Engineering ◽  
Unstable State ◽  
Coordinated Development ◽  
Coordination Model ◽  
Dynamic Coordination ◽  
Rural And Urban ◽  
The Relationship ◽  
Coordination Degree

The coordinated development of industrialization and urbanization has become a common goal and concern of developing countries. At the same time, measuring the relationship between them is becoming a research hotspot. With reference to value engineering, we constructed a dynamic coordination model to analyze the degree of coordination between urbanization and industrialization in China. During the study, three primary indicators were used to assess the level of industrialization in China, namely: economic development, industrial structure, industrial enterprise. We also use demographic urbanization rate to evaluate the level of urbanization. Subsequently, a dynamic coordination model was established using panel data of China collected from 1978 to 2017. Through the dynamic coordination degree model, the changes in the degree of coordination between urbanization and industrialization in China from 1978 to 2017 were analyzed, and the reasons for the fluctuation of coordination degree were further explored. The results show that: (1) The coordinated development of urbanization and industrialization can be divided into six phases, which is consistent with the major reforms in China's rural and urban; (2) The degree of coordination fluctuated more obviously during 1991–1995, which reflected the unstable state of China in the process of coordinated development of urbanization and industrialization; (3) Most of the time, industrialization is ahead of urbanization, while with rapid economic development, urbanization, and industrialization, are gradually synchronizing in China. The results are of great significance for promoting the coordinated development of urbanization and industrialization and realizing the sustainable development of the city.

scholarly journals Characteristics Analysis of the Heat-to-Power Ratio from the Supply and Demand Sides of Cities in Northern China

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 242 ◽  
Author(s):  
Shunyong Yin ◽  
Jianjun Xia ◽  
Yi Jiang
Keyword(s):  
Supply And Demand ◽  
Northern China ◽  
Energy System ◽  
Energy Structure ◽  
Supply Side ◽  
Power Ratio ◽  
Demand Side ◽  
Demand And Supply ◽  
Heating Method ◽  
Urban Energy

Combined heat and power (CHP), an efficient heating method with cascades use of energy, accounts for approximately 50% of the heat sources in northern China. Many researchers have made significant efforts to improve its energy efficiency and environmental effects with important achievements. Given that the system produces heat and electricity at the same time, this study focuses on the role of CHP in the holistic urban energy system and points out the mismatch between the demand and supply sides of urban energy systems by using the heat-to-power ratio as a parameter. The calculation method and characteristics of the supply side heat-to-power ratio of eight heating methods and the maximum demand side heat-to-power ratio for 19 cities in northern China are displayed. After the analysis, it is concluded that (1) the maximum demand side heat-to-power ratio in the cities varies from 1.0 to 5.9, which is affected by the location and social, economic, and industrial structures. (2) In most of the cities, with the current energy structure, the demand side heat-to-power ratios are always larger than the supply side heat-to-power ratios. (3) The reduction in heating demand, surplus heat recovery, and the use of a highly efficient electric heating method, such as the heat pump, can help solve the mismatch of the heat-to-power ratio between the demand and supply sides. These conclusions can guide the urban energy planning and system construction.

The Study on Low-Carbon Urban Ecological Planning

2011 ◽  
Vol 243-249 ◽  
pp. 6714-6717
Author(s):  
Yan Li
Keyword(s):  
Economic System ◽  
Carbon Sink ◽  
Energy System ◽  
Town Planning ◽  
Low Carbon ◽  
Ecological Planning ◽  
Technology Study ◽  
Technology Application ◽  
Design Guide ◽  
Low Carbon City

The low-carbon planning of towns should build up the low-carbon ecology as its compilation concept, emphasize the concept of low-carbon economic system and urban low-carbon planning, and explain the planning strategy from town planning, overall planning, controlled planning with details, the design guide of downtown and the schemes of important projects etc.. The town planning emphasizes the technology applications of the industry system of low-carbon economic park, low-carbon energy system, low-carbon traffic system, low-carbon logistics system and carbon sink system etc.. The overall planning pays more attention to the design of low-carbon economic system, the grasp of whole form of low-carbon economic park, the using form and layout of the area, the plan and design of road system. The controlled planning with details and the design guide of downtown emphasize the technology application of planning design of reducing carbon emission, the study of living mode of low-carbon city, the planning of living community and technology study of the design of low-carbon compilation. The purpose of it is building up the planning mode of low-carbon ecological town.

scholarly journals District Cooling Versus Individual Cooling in Urban Energy Systems: The Impact of District Energy Share in Cities on the Optimal Storage Sizing

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 407 ◽  
Author(s):  
Dominik Dominković ◽  
Goran Krajačić
Keyword(s):  
Energy Supply ◽  
Energy Systems ◽  
Energy System ◽  
Integrated Modelling ◽  
Economic Costs ◽  
Battery Storage ◽  
Spatial Constraints ◽  
District Energy ◽  
Urban Energy ◽  
The Impact

The energy transition of future urban energy systems is still the subject of an ongoing debate. District energy supply can play an important role in reducing the total socio-economic costs of energy systems and primary energy supply. Although lots of research was done on integrated modelling including district heating, there is a lack of research on integrated energy modelling including district cooling. This paper addressed the latter gap using linear continuous optimization model of the whole energy system, using Singapore for a case study. Results showed that optimal district cooling share was 30% of the total cooling energy demand for both developed scenarios, one that took into account spatial constraints for photovoltaics installation and the other one that did not. In the scenario that took into account existing spatial constraints for installations, optimal capacities of methane and thermal energy storage types were much larger than capacities of grid battery storage, battery storage in vehicles and hydrogen storage. Grid battery storage correlated with photovoltaics capacity installed in the energy system. Furthermore, it was shown that successful representation of long-term storage solutions in urban energy models reduced the total socio-economic costs of the energy system for 4.1%.

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