scholarly journals Improving Energy Sustainability of Suburban Areas by Using Distributed Energy Systems: A Case Study

Proceedings ◽  
2020 ◽  
Vol 58 (1) ◽  
pp. 7
Author(s):  
Beaud Muriel ◽  
Amarasinghage Tharindu Dasun Perera ◽  
Cai Hanmin ◽  
Andrew Bollinger ◽  
Kristina Orehounig

The building sector plays a vital role in Switzerland’s climate policy. In order to support the energy transition in the building sector, Rolle, a suburban area located along the shore of Lake Geneva is considered in this study to understand the promising future scenarios for integration of renewable energy technologies. The area is clustered into 12 clusters and a distributed energy system is designed for each cluster. Subsequently, three energy systems with contrasting densities are taken for further comparison to understand the impact of urban density on the design of the distributed energy system. The study reveals that urban density will influence the peak as well as the annual energy demand of the energy hubs. The study reveals that the energy technologies used in the energy hubs are strongly influenced by the capacity of the system (peak and annual energy demand). Energy systems with higher capacities are less sensitive to the market changes when compared to the systems with lower capacities (leading to sparse suburban areas).

2012 ◽  
Vol 524-527 ◽  
pp. 2420-2424 ◽  
Author(s):  
Zhe Zhou ◽  
Pei Liu ◽  
Jian Yun Zhang ◽  
Zheng Li

Distributed energy systems can play an essential role in providing energy with substantial environmental and other benefits. This paper presents a multi-objective optimization model for the planning of distributed energy systems, aiming at simultaneous minimization of the total annual cost and greenhouse gas emissions. The impact of carbon tax rates on the optimal configuration and performance of a distributed energy system is evaluated based on the optimization model. A review of international policies on carbon taxes is performed for estimation of future carbon tax rates in China. Results show that the potential carbon tax in the future may not have significant impacts on the optimal configuration of a distributed energy system.


Author(s):  
Guohua Shi ◽  
Songling Wang ◽  
Youyin Jing ◽  
Yuefen Gao

With the rapid economic development, the energy demand is rising and energy-related greenhouses gas emissions are growing rapidly in China. The usage percent of renewable energy in use is still low while the energy consumption is still increasing. Due to the expanding pressure from energy demand, environment concerns and society issues, distributed energy systems (DESs), especially combined heat and power (CHP), are encouraged and expected to play a greater role by the government. This paper mainly seeks to explore and answer some of questions. Firstly, the different technologies of various DES options are briefly reviewed. Then the question of why distributed energy systems should be developed in China is considered. Recent trends and current patterns of energy supply and use in China are also discussed. Some typical distributed energy systems used in China are introduced. This article also discusses what barriers need be overcome if China wishes to move towards a sustainable energy future. Finally, several suggestions are proposed to favor the wide application of DES in China. It is concluded that DES is a good option with respect to China’s sustainable development that has institutional, market and regulatory support.


Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 600
Author(s):  
Bin Ouyang ◽  
Lu Qu ◽  
Qiyang Liu ◽  
Baoye Tian ◽  
Zhichang Yuan ◽  
...  

Due to the coupling of different energy systems, optimization of different energy complementarities, and the realization of the highest overall energy utilization rate and environmental friendliness of the energy system, distributed energy system has become an important way to build a clean and low-carbon energy system. However, the complex topological structure of the system and too many coupling devices bring more uncertain factors to the system which the calculation of the interval power flow of distributed energy system becomes the key problem to be solved urgently. Affine power flow calculation is considered as an important solution to solve uncertain steady power flow problems. In this paper, the distributed energy system coupled with cold, heat, and electricity is taken as the research object, the influence of different uncertain factors such as photovoltaic and wind power output is comprehensively considered, and affine algorithm is adopted to calculate the system power flow of the distributed energy system under high and low load conditions. The results show that the system has larger operating space, more stable bus voltage and more flexible pipeline flow under low load condition than under high load condition. The calculation results of the interval power flow of distributed energy systems can provide theoretical basis and data support for the stability analysis and optimal operation of distributed energy systems.


Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2545 ◽  
Author(s):  
Alberto Fichera ◽  
Elisa Marrasso ◽  
Maurizio Sasso ◽  
Rosaria Volpe

Energy systems face great challenges from both the supply and demand sides. Strong efforts have been devoted to investigate technological solutions aiming at overcoming the problems of fossil fuel depletion and the environmental issues due to the carbon emissions. Hybrid (activated by both renewables and fossil fuels) distributed energy systems can be considered a very effective and promising technology to replace traditional centralized energy systems. As a most peculiar characteristic, they reduce the use of fossil sources and transmission and distribution losses along the main power grid and contribute to electric peak shaving and partial-loads losses reduction. As a direct consequence, the transition from centralized towards hybrid decentralized energy systems leads to a new role for citizens, shifting from a passive energy consumer to active prosumers able to produce energy and distribute energy. Such a complex system needs to be carefully modelled to account for the energy interactions with prosumers, local microgrids and main grids. Thus, the aim of this paper is to investigate the performance of a hybrid distributed energy system serving an urban community and modelled within the framework of agent-based theory. The model is of general validity and estimates (i) the layout of the links along which electricity is distributed among agents in the local microgrid, (ii) electricity exchanged among agents and (iii) electricity exported to the main power grid or imported from it. A scenario analysis has been conducted at varying the distance of connection among prosumers, the installed capacity in the area and the usage of links. The distributed energy system has been compared to a centralized energy system in which the electricity requests of the urban community are satisfied by taking electricity from the main grid. The comparison analysis is carried out from an energy, environmental and economic point of view by evaluating the primary energy saving, avoided carbon dioxide emissions and the simple payback period indices.


Author(s):  
Pedro Mendoza G. ◽  
Maximiliano Arroyo Ulloa ◽  
Vincenzo Naso

The bioceanic Amazon corridor represents a development opportunity for the Peruvian and Brazilian economy but this economic evolution is linked to the production and use of energy. Energy is a conditioning factor of economic growth and development and the application of conventional (or alternative) energy systems is strongly influenced by both quantitative and qualitative trends in energy consumption. Decentralized production of energy is necessary, and new decentralized energy technologies based on renewable sources could provide additional income opportunities, decreasing environmental risk along Amazon corridor, and providing clean fuel and electricity. It’s necessary that the bioceanic Amazon corridors call for the application of energy systems related to the renewable local resources in coast, mountain and forest. In Peru, firewood is the principal energy source for cooking and heating and this fuel is used in inefficient combustion system that increases the impact on ecosystems. Typical Peruvian biomass source are wood, agricultural residues, agro industrial waste and municipal solid waste. The most obvious it’s the availability of agricultural and agro industrial residues that could be used as a biomass fuel source in modern plant to produce electricity. Today, there is a growing interest for ethanol production from sugar cane, but it couldn’t be applied along bioceanic corridors; therefore it is necessary to integrate other renewable sources.


2020 ◽  
Vol 11 (41) ◽  
pp. 11-26
Author(s):  
Keziban Seçkin Codal ◽  
İzzet Arı ◽  
H. Kemal İlter

Climate change is an undeniable fact. Considering that two-thirds of greenhouse gas emissions originate from the energy sector, it is expected that the world's energy system will be transformed with renewable energy sources. Energy efficiency will be continuously increased. Reducing energy-related carbon dioxide emissions is the heart of the energy transition. Big data in energy systems play a crucial role in evaluating the adaptive capacity and investing more smartly to manage energy demand and supply. Indeed, the impact of the smart energy grid and meters on smart energy systems provide and assist decision-makers in transforming energy production, consumption, and communities. This study reviews the literature for aligning big data and smart energy systems and criticized according to regional perspective, period, disciplines, big data characteristics, and used data analytics. The critical review has been categorized into present themes. The results address issues, including scientific studies using data analysis techniques that take into account the characteristics of big data in the smart energy literature and the future of smart energy approaches. The manuscripts on big data in smart energy systems are a promising issue, albeit it is essential to expand subjects through comprehensive interdisciplinary studies


2013 ◽  
Vol 860-863 ◽  
pp. 634-638
Author(s):  
Zhi Yun Zhou ◽  
Pu Yan Zheng ◽  
Jian Gang Wang ◽  
Yan Zhou Yuan

Nowdays more and more methods for design and transformation Distributed Energy System are applied. Traditional optimization is based on the original system , by successively optimize the process in order to recovery heat as much as possible or to reduce the enery consumption . Pinch analysis can get the energy goal and expect heat exchangers number directly,according to the analysis of the users demand streams parameters cascade. In this paper, pinch analysis is applyed for the downstream heat exchanger network optimal design of the distributed energy system , and has proved that pinch analysis advantages for the distributed energy system integration.


Author(s):  
Said Mirza Tercan ◽  
Onur Elma ◽  
Erdin Gokalp ◽  
Umit Cali

Growing energy demand in the distributed energy system (DES) besides new charging loads of electric vehicles (EVs) make DES infrastructure unavailable earlier than normal projections. DES lines need to be upgraded to carry the modern demand of customers. DES line upgrade (LU) cost minimized and deferred to the next years by using energy storage system (ESS). ESS offers the opportunity to use energy flexibly in the distribution grid. It is possible to use ESS to shift the inevitable upgrade costs of the distribution grid elements and increase the power quality of the distribution grid. In this study, a method is proposed to extend the lifespan of DES with ESS and reduce line upgrade and investment costs in the distribution system. For this purpose, the IEEE 33 bus test grid is used, and the proposed method is tested and analyzed with different case studies. According to the results, the proposed method can reduce the investment cost by up to 80%. Besides, ESS usage considering load increase and line conditions of the distribution grid, upgrade costs of distribution grid are shifted, resulting in an optimal dimensioning and positioning while extending the lifespan of the distribution grid elements and, at the same time, offering significant improvements in energy quality. Additionally, it is seen that the power losses of the distribution grid are reduced up to 26%, and the voltage profile of buses is improved with the usage of ESS.


Author(s):  
Sebastian Schulz ◽  
Jörg Reiff-Stephan

Distributed energy systems are a key success factor for the future and self-determined living in undeveloped or emerging regions. Education, culture and economic growth are significantly influenced by energy processes. In order to be able to use a built-up infrastructure, maintenance and condition control of the systems along their entire life cycle are indispensable. However, this can only be achieved if an independent technical condition management system can be established. Event-based data and warnings can be transmitted or retrieved at any time. Due to this, decisions can be made on the basis of the information obtained, which then lead to the maintenance of the targeted functional scope of the power systems. In the following paper, a TCM for pv-based distributed energy systems is presented. It consists of a low performance single board computer which can be connected to a cloud system with mobile communication and transmits essential data.


Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1308
Author(s):  
Ziyuan Cui ◽  
Hai Lin ◽  
Yan Wu ◽  
Yufei Wang ◽  
Xiao Feng

Due to the target of carbon neutrality, energy saving has become more important than ever. At the same time, the widespread use of distributed energy systems and the regional utilization of industrial waste heat leads to the existence of multiple heat sources in an area. Therefore, how to design an economical and reliable pipeline network to meet energy-saving demand under multiple heat source conditions becomes a problem. In this work, an optimization method is established to determine the optimal pipeline network topology with minimum total annual cost. In this optimization method, Star tree algorithm, Kruskal algorithm and GeoSteiner algorithm are combined with a linear programming model to establish a distributed energy pipeline network for multiple heat sources. The model incorporates Euclidean Steiner Minimum Tree and Rectilinear Steiner Minimum Tree in the consideration of the topology optimization of Distributed Energy System pipeline networks. Four pipeline network topologies, STAR, Minimum Spanning Tree, Euclidean Steiner Minimum Tree and Rectilinear Steiner Minimum Tree, are evaluated in this paper from economic and reliability perspectives. A case extracted from a real industrial park where steam is the medium is used to prove the validity of the model. The optimization results show that a Euclidean Steiner Minimum Tree pipeline network has a lower total annual cost than three other types of pipeline network and ranks second in reliability. Considering the comprehensive economy and reliability, ESMT is the optimal pipeline network type of distributed energy system with steam as the medium.


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