scholarly journals An optimization model for the provision of flexibility and dispatching resources by multi-vector smart energy districts

2021 ◽  
Vol 238 ◽  
pp. 05007
Author(s):  
Filippo Bovera ◽  
Marco Gabba ◽  
Matteo Zatti
Keyword(s):  
Real Time ◽  
Energy Production ◽  
Clean Energy ◽  
Energy System ◽  
University Campus ◽  
External Energy ◽  
Energy Demands ◽  
Energy Conversion And Storage ◽  
Generic Architecture ◽  
And Storage

The Clean Energy Package expects a fundamental contribute for the decarbonisation of European energy system from Distributed Energy Resources (DERs), pushing Member States to favour the diffusion of energy production plants for individual and collective self-consumption. At the same time, DERs are required to contribute to system security mainly providing dispatching resources. The model developed includes the possibility to provide real-time balancing flexibility in a generic architecture where different energy vectors can be integrated through energy production, consumption and storage facilities. The optimization problem is built over a weekly time horizon with a stepwise approach where internal and external energy exchanges are defined updating meteorological forecasts, energy demands and markets results while approaching real-time operations. According to the Italian Authority consultation document 322/2019, both energy-only and capacity remunerated services are included in the model. The aim of the model is both to estimate the economic opportunities coming from energy markets participation for smart energy districts in the future energy framework, and to assess the actual capability and reliability of diverse DERs aggregates to provide flexibility to the external electric grid. These evaluations are carried out applying the presented model to a university campus case study where different energy conversion and storage plants are integrated at a Distribution Network level.

scholarly journals Contemporary approaches in development of new materials for electrochemical energy conversion

2019 ◽  
Vol 84 (4) ◽  
pp. 417-421
Author(s):  
Igor Pasti
Keyword(s):  
Energy Conversion ◽  
Modern Society ◽  
Energy System ◽  
Computational Techniques ◽  
New Materials ◽  
Energy Demands ◽  
Electronic Structure Methods ◽  
Energy Conversion And Storage ◽  
Electrified Interface ◽  
And Storage

The development of modern society is followed by increasing energy demands, highlighting the importance of sustainability of the energy system. In line with this task, electrochemistry has been set in the centre of modern research, offering a large number of solutions for energy conversion and storage. One of the main problems is the identification of new electrocatalytic materials which are used for energy conversion applications. A brief view on the use of modern computational techniques in discovery of new electrocatalysts is provided, mainly focusing on the electronic structure methods and the idea of catalytic descriptor. Using this approach, it is possible to screen many candidates for new electrocatalysts. However, the complexity of an electrified interface requires additional efforts to fully understand the properties of electrocatalytic materials.

scholarly journals Optimum Choice of Energy System Configuration and Storages for a Proper Match between Energy Conversion and Demands

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3957
Author(s):  
Andrea Lazzaretto ◽  
Andrea Toffolo
Keyword(s):  
Energy Conversion ◽  
Energy System ◽  
Distribution Networks ◽  
Design Parameters ◽  
System Configuration ◽  
Or Groups ◽  
Energy Conversion And Storage ◽  
Proper Design ◽  
And Storage ◽  
Distribution Grids

This Special Issue addresses the general problem of a proper match between the demands of energy users and the units for energy conversion and storage, by means of proper design and operation of the overall energy system configuration. The focus is either on systems including single plants or groups of plants, connected or not to one or more energy distribution networks. In both cases, the optimum design and operation involve decisions about thermodynamic processes, about the type, number, design parameters of components/plants, and storage capacities, and about mutual interconnections and the interconnections with the distribution grids. The problem is very wide, can be tackled with different methodologies and may have several, more or less valuable and complicated solutions. The twelve accepted papers certainly represent a good contribution to perceive its difficulty.

Polyoxometalate-based materials for sustainable and clean energy conversion and storage

EnergyChem ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 100021 ◽  
Author(s):  
Yu Zhang ◽  
Jiang Liu ◽  
Shun-Li Li ◽  
Zhong-Min Su ◽  
Ya-Qian Lan
Keyword(s):  
Energy Conversion ◽  
Clean Energy ◽  
Energy Conversion And Storage ◽  
And Storage

Energy Production and Consumption Patterns and Planning: A Case of Northeast Minnesota

2007 ◽  
Vol 18 (3-4) ◽  
pp. 373-392
Author(s):  
Felix Amenumey ◽  
Melissa Pawlisch ◽  
Okechukwu Ukaga
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Energy Resource ◽  
Cost Effective ◽  
Clean Energy ◽  
Energy System ◽  
Technical Expertise ◽  
Production And Consumption ◽  
Energy Projects ◽  
Set Up

The Clean Energy Resource Teams (CERTs) is a project designed to give local citizens and other stakeholders a voice in planning and determining their energy future. In total, there are seven CERTs operating in seven regions across Minnesota, USA. CERTs connect citizens with technical expertise to facilitate planning and implementation of energy conservation and renewable energy projects. These technical resources are helping the teams identify and prioritize the most appropriate and cost-effective opportunities within their regions. This paper will describe one of these energy teams (the Northeast CERT) and its efforts in promoting clean energy production and conservation. A key product of the Northeast CERT is a strategic energy plan that highlights the region's top energy priorities. As part of its project priorities, the Northeast Minnesota CERT is working to set up demonstration projects at every school and community in the region. Toward this goal, the team is currently collaborating with two schools in the region to set up renewable energy projects such as wind and solar, which in turn would help students to understand that renewables and conservation can and should be an integral part of our energy system.

scholarly journals Clean Energy Storage Workshop

Proceedings ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 20
Author(s):  
Ala-Juusela ◽  
Zupančič ◽  
Gubina ◽  
Tuerk
Keyword(s):  
Energy Systems ◽  
Clean Energy ◽  
Energy System ◽  
Renewable Energy System ◽  
Storage Solutions ◽  
Decentralized Energy Systems ◽  
Decentralized Energy ◽  
And Storage ◽  
Roll Out ◽  
Energy Package

The Clean Energy Package foresees a strong roll out of decentralized energy systems with renewable generation and storage. The STORY project has designed and tested six different storage solutions for a decentralized renewable energy system. In the workshop organised in the frame of SP19 conference, we highlighted some of the economic, social and technical barriers to storage in Europe and how these have been addressed.

Power Generation System by Vehicle on the Downhill of Expressway

2013 ◽  
Vol 724-725 ◽  
pp. 1361-1365
Author(s):  
Xian Tao Zeng ◽  
Qian Hua Ren
Keyword(s):  
Power Generation ◽  
Clean Energy ◽  
Energy System ◽  
Road Surface ◽  
Generation System ◽  
The Road ◽  
Control Power ◽  
Power Generation System ◽  
Magnetic Poles ◽  
And Storage

In this paper, a method of magnetoelectricity power generation system for vehicle on the downhill of expressways is proposed. This system is a clean energy system that can be reused. Its structure includes car magnetic poles, magnetic poles imbedded in road surface, closed circuit imbedded in road surface, rectifier, inverter and storage battery. Multi-unit magnetic poles and closed circuits imbedded in the road surface are used in this invention, so when the car poles move with the running down of cars on downhill, magnetic flow in closed circuits will change to produce a technique of group control power generation. From the simulated system in the test, it can be seen that it is efficient and effective in generating power.

scholarly journals Case Study and Feasibility Analysis of Multi-Objective Life Cycle Energy System Optimization in a Nordic Campus Building

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7742
Author(s):  
Vilppu Eloranta ◽  
Aki Grönman ◽  
Aleksandra Woszczek
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Energy Production ◽  
System Optimization ◽  
Energy System ◽  
Building Energy ◽  
Multi Objective ◽  
Building Energy System ◽  
And Storage ◽  
Campus Building

Due to the high energy consumption of buildings, there is a demand for both economically and environmentally effective designs for building energy system retrofits. While multi-objective optimization can be used to solve complicated problems, its use is not yet widespread in the industry. This study first aims to develop an efficient and applicable multi-objective building energy system optimization method, used to dimension energy production and storage retrofit components in a case campus building in Lahti, Finland. Energy consumption data of the building are obtained with a dynamic energy model. The optimization model includes economic and environmental objectives, and the approach is found to function satisfactorily. Second, this study aims to assess the feasibility and issues of multi-objective single-building energy system optimization via the analysis of the case optimization results. The results suggest that economically beneficial local energy production and storage retrofits could not always lead to life cycle CO2-eq emission reductions. The recognized causes are high life cycle emissions from the retrofit components and low Nordic grid energy emissions. The performed sensitivity and feasibility analyses show that correctness and methodological comparability of the used emission factors and future assumptions are crucial for reliable optimization results.

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