scholarly journals Planning of Distributed Energy Systems with Parallel Infrastructures: A Case Study

10.5772/7363 ◽  
2009 ◽  
Author(s):  
Bjorn H.
Keyword(s):  
Energy Systems ◽  
Distributed Energy

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

scholarly journals Optimal sizing of a distributed energy system with thermal load electrification

2020 ◽  
Vol 197 ◽  
pp. 01006
Author(s):  
Pietro Lubello ◽  
Guglielmo Vaccaro ◽  
Carlo Carcasci
Keyword(s):  
Thermal Load ◽  
Large Scale ◽  
Energy Systems ◽  
Power Production ◽  
Electricity Production ◽  
Distributed Energy ◽  
Optimal Sizing ◽  
First Case ◽  
The Impact

Renewable energy systems (RES) are currently being deployed on a large scale to meet the ambitious sustainable development goals for the next decades. A higher penetration of sustainable means of power production passes through the diffusion of RES-based distributed energy systems. The hybridization of such systems and their integration with Energy Storage Systems (ESS) can help improve reliability and level the mismatch between power production and consumption. In this paper, a novel modular tool for the simulation of distributed energy systems is presented by means of its application to a case study. The considered system is composed by PV modules, ESS and heat pumps. The optimal sizing of the components for self-consumption has been obtained through an electricity production cost minimization. A comparison between two different configurations has been conducted: in the first case, the thermal load is completely satisfied by a natural gas-fired boiler, while in the latter case, part of the thermal load is satisfied by a heat pump. The results have highlighted the impact of ESS on the economics of distributed energy systems and how the investment in such systems, in conditions similar to the case study, can be more easily sustained if a share of the total energy consumption of the unit is shifted from the thermal to the electrical part.

scholarly journals Allocation of Distributed Energy Systems at District-Scale over Wide Areas for Sustainable Urban Planning with a MILP Model

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Yeşim Ok ◽  
Mehmet Atak
Keyword(s):  
Urban Planning ◽  
Energy Distribution ◽  
Energy Resource ◽  
Energy Systems ◽  
Transportation Costs ◽  
Set Covering ◽  
Mixed Integer ◽  
Distributed Energy ◽  
Milp Model

An optimal allocation of centralized district-scale distributed energy resource (DER) systems with district heating and cooling network (DHCN) is studied. A generic mixed integer linear programming (MILP) model is constructed to increase the system efficiency and decrease costs by reducing energy distribution losses and transportation costs in energy distribution network. Initial investment costs based on size and type (co/trigeneration) of the facility and demand-weighted transportation costs are minimized by the capacitated fixed charge facility location (FCFL) model. However, unlike the standard FCFL model, by adding the maximum coverage distance in the set covering problem, a new method has been proposed. Thus, its aim is to avoid assigning a demand point to a candidate facility from a point farther than the predetermined distance. That means that the weakness of disregarding the distance between supply and demand points in the FCFL problem is eliminated. Additionally, this model, in which the annual inputs are used, has a generic framework suitable to form infrastructure needs in consideration of distributed energy systems in the general planning level for sustainable urban planning. For this purpose, the applications of the model, both case study and tests, have been made over wide areas, with annual demand and capacity values. Consequently, a case study with different coverage distances has been conducted to see the effect of coverage distance on the model, and also test problems with different sizes have been carried out to demonstrate the capability of the proposed model.

Multiple energy complementation based on distributed energy systems – Case study of Chongming county, China

2017 ◽  
Vol 192 ◽  
pp. 329-336 ◽  
Author(s):  
Liuchen Liu ◽  
Tong Zhu ◽  
Yu Pan ◽  
Hai Wang
Keyword(s):  
Energy Systems ◽  
Distributed Energy

Multi-Objective Design Optimization for Distributed Energy Systems With Energy Storage: A Case Study

2018 ◽  
Author(s):  
Jian Zhang ◽  
Heejin Cho ◽  
Hongguang Zhang ◽  
Fubin Yang
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Energy Systems ◽  
Energy System ◽  
Research Trend ◽  
Optimal Size ◽  
Distributed Energy ◽  
Multi Objective ◽  
Distributed Energy System

As a promising approach for sustainable development, the distributed energy system receives increasing attention worldwide and has become a key topic explored by researchers in the areas of building energy systems and smart grid. In line with this research trend, this paper presents a case study of designing an integrated distributed energy system including photovoltaics (PV), combined cooling heating and power (CCHP) and electric and thermal energy storage for commercial buildings (i.e., a hospital and a large hotel). The subsystems are modeled individually and integrated based on a proposed control strategy to meet the electric and thermal energy demand of a building. A multi-objective particle swarm optimization (PSO) is performed to determine the optimal size of each subsystem with objectives to minimize carbon dioxide emissions and payback period. The results demonstrate that the proposed method can be effectively utilized to obtain an optimized design of distributed energy systems that can minimize environmental and economic impacts for different buildings.

scholarly journals Emerging supply chain of utilising electrical vehicle retired batteries in distributed energy systems

2020 ◽  
Author(s):  
Rui Jing ◽  
Junyao Wang ◽  
Nilay Shah ◽  
Miao Guo
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Energy Systems ◽  
Design Strategies ◽  
Distributed Energy ◽  
Allocation Model ◽  
Incentive Policy ◽  
Profit Allocation ◽  
Electrical Vehicle

Abstract Increasing electric vehicles (EV) penetration leads to significant challenges in EV battery disposal. Reusing retired batteries in distributed energy systems (DES) offers resource-circular solutions. We propose an optimisation framework to model the emerging supply chains and design strategies for reusing the retired EV batteries in DES. Coupling a supply chain profit-allocation model with a DES design optimisation model, the framework maximises the whole chain profit and enables fair profit distribution between three interactive sectors, i.e., EV, DES, dismantling and recycle (D&R) sectors. Our research highlights the system implications of retired batteries on DES design and new modelling insights into incentive policy effectiveness. Our case study suggests significant potential value chain profits (2.65 million US$) achieved by deploying 10.7 MWh of retired batteries in the DES application with optimal retired battery price of 138 US$/kWh. The revenue support on D&R sector is suggested as a promising incentive scheme than tariff support.

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