scholarly journals Systemic Approach for Local Energy Mix Assessment

2021 ◽  
pp. 143-148
Author(s):  
Nathanael Dougier ◽  
Pierre Garambois ◽  
Julien Gomand ◽  
Lionel Roucoules
Keyword(s):  
Power Plants ◽  
Physical Modelling ◽  
Decision Support Tool ◽  
Systemic Approach ◽  
Support Tool ◽  
Multi Scale ◽  
Environmental Objectives ◽  
National Power ◽  
Storage Technologies ◽  
And Storage

AbstractWhereas energy mainly comes from main national power plants, distributed energy resources and storage technologies would allow local territories to choose their energy sources and increase their autonomy. This paper presents a decision-support tool that propose to find new system architecture based compromises between economic, technical and environmental objectives. Based on a systemic approach, it takes into account a broad range of technologies and assesses multi-scale territories thanks to a physical modelling. Numerical simulations show the influence of different parameters on the ability of a system to balance power demand.

scholarly journals Quality tracing in meat supply chains

2014 ◽  
Vol 372 (2017) ◽  
pp. 20130308 ◽  
Author(s):  
Miriam Mack ◽  
Patrick Dittmer ◽  
Marius Veigt ◽  
Mehmet Kus ◽  
Ulfert Nehmiz ◽  
...  
Keyword(s):  
Supply Chains ◽  
Process Analysis ◽  
Decision Support Tool ◽  
Temperature Monitoring ◽  
Support Tool ◽  
Logistics Network ◽  
Primary Model ◽  
Sensory Parameters ◽  
And Storage

The aim of this study was the development of a quality tracing model for vacuum-packed lamb that is applicable in different meat supply chains. Based on the development of relevant sensory parameters, the predictive model was developed by combining a linear primary model and the Arrhenius model as the secondary model. Then a process analysis was conducted to define general requirements for the implementation of the temperature-based model into a meat supply chain. The required hardware and software for continuous temperature monitoring were developed in order to use the model under practical conditions. Further on a decision support tool was elaborated in order to use the model as an effective tool in combination with the temperature monitoring equipment for the improvement of quality and storage management within the meat logistics network. Over the long term, this overall procedure will support the reduction of food waste and will improve the resources efficiency of food production.

scholarly journals Multiproduct biorefinery optimal design: application to the acetone-butanol-ethanol system

2020 ◽  
Vol 75 ◽  
pp. 9 ◽  
Author(s):  
Ségolène Belletante ◽  
Ludovic Montastruc ◽  
Michel Meyer ◽  
Heri Hermansyah ◽  
Stéphane Negny
Keyword(s):  
Decision Support ◽  
Optimal Design ◽  
Process Simulation ◽  
Decision Support Tool ◽  
Energy Integration ◽  
Support Tool ◽  
Multi Scale ◽  
Acetone Butanol Ethanol ◽  
Ethanol System

The bioproduct from biomass appears to be major interests for future years given the spectacular and fast advances in microbiology. But the industrial developments of the new bioproducts production struggle to follow this constant and massive creation. Therefore, to estimate the potential of new bioproducts is necessary to pre-design biorefineries with the highest relevance. This study proposes a methodology assessing the relevance of such industrialized production. The presented tool is a multi-scale methodology describing a decision-support tool for the determination of an optimal biorefinery from a superstructure through process simulation, and economic and environmental evaluations. To optimize the biorefinery, energy integration is also applied on the selected processes, because a biorefinery needs a large amount of energy to operate, especially in the pretreatment and purification steps of the process due to huge water flowrate. Thus, the tool designs an efficient, profitable and sustainable biorefinery. We demonstrate our methodology capabilities with the acetone, butanol and ethanol production (ABE system) from lignocellulosic biomass, especially from wood wastes.

scholarly journals Model-Based Decision Support Tools at Jugos S.A. Concentrated Fruit Juice Plant

2020 ◽  
Vol 50 (4) ◽  
pp. 255-268
Author(s):  
Aníbal M. Blanco ◽  
M. Susana Moreno ◽  
Carolina Taraborelli ◽  
Flavio D’Angelo ◽  
Facundo Iturmendi ◽  
...  
Keyword(s):  
Decision Support ◽  
User Interfaces ◽  
Decision Support Tool ◽  
Raw Material ◽  
Mixed Integer ◽  
Support Tool ◽  
Support Tools ◽  
Optimal Target ◽  
And Storage

We describe the development of a decision-support tool to assist in the operations of a large concentrated apple and pear juice plant. The tool’s objective is to generate detailed schedules of clarified juice batches to be produced in the following weeks considering incoming fruit forecasts, commercial commitments, and infrastructural constraints. The tool is based on two interactive modules, PLANNER and SIMOPT, with different and complementary purposes. Each module is based on mixed-integer models with specific inputs, outputs, and user interfaces. PLANNER consists of three submodules: (i) planning assigns a batch of concentrated juice to be produced on a specific day, taking into account cleaning activities, rest days, raw material availability, and production and storage constraints; (ii) preprocessing organizes juice orders in batches; and (iii) pooling provides a detailed monitoring of semielaborated juice in storage pools in terms of inventories and sugar and acid content. Finally, SIMOPT provides a detailed optimal operative condition of the plant together with a thorough calculation of specific costs. This information is used by PLANNER to evaluate the corresponding economic objective functions. Besides providing optimal target conditions to the plant and feasible production schedules, the developed tools generate production guidelines in the long term and allow performing scenario studies.

scholarly journals Deployment of electric vehicle charging infrastructure. Application to the city of Madrid

2020 ◽  
Vol 307 ◽  
pp. 01020
Author(s):  
Alexandre DARCHERIF ◽  
Bilal AMGHAR ◽  
Abdelkrim DOUFENE ◽  
Alain JAAFARI
Keyword(s):  
Electric Vehicles ◽  
Nuclear Power ◽  
Power Plants ◽  
New Technologies ◽  
Decision Support Tool ◽  
Electrical Energy ◽  
Support Tool ◽  
Charging Infrastructure ◽  
Territorial Planning ◽  
Charging Stations

Most of the scientific and economic observers expect electric vehicles (EVs) to reach more than one-third of new vehicle sales, by 2022 [1]. This growth will be even more pronounced in 2040, when it’s expected that more than 40 million of electric vehicles will be sold each year worldwide, leading to a considerable need for electrical energy (the equivalent of the production of about twenty nuclear power plants). This growth cannot be ensured if we do not radically transform our power supply technologies (new generations of batteries, new engines, new supply strategies, etc.) especially since the principal materials for batteries are projected to disappear in the next thirty years. Fortunately, new technologies for charging EVs are appearing (fast charging stations, inductive charging stations), which could help to reducing the need for larger batteries. However, these technologies require significant investment and heavy urban redevelopment. It is therefore important to find a way to optimize these investments both economically and technologically. In this paper, we will focus on electric vehicles and propose a model to optimize the urban infrastructure planning of energy supply stations. we have developed a new approach of infrastructure optimization based on battery charging platform existing technologies and their location in a city. A decision support tool applied to territorial planning is developed in this study.

scholarly journals Research and development of CO2 Capture and Storage Technologies in Fossil Fuel Power Plants

10.14311/1566 ◽  
2012 ◽  
Vol 52 (3) ◽  
Author(s):  
Lukáš Pilař ◽  
Jan Hrdlička
Keyword(s):  
Power Plants ◽  
Fossil Fuel ◽  
Electricity Production ◽  
The Czech Republic ◽  
Advantages And Disadvantages ◽  
Percentage Points ◽  
Lignite Coal ◽  
Storage Technologies ◽  
And Storage ◽  
Fossil Fuel Power Plants

This paper presents the results of a research project on the suitability of post-combustion CCS technology in the Czech Republic. It describes the ammonia CO2 separation method and its advantages and disadvantages. The paper evaluates its impact on the recent technology of a 250 MWe lignite coal fired power plant. The main result is a decrease in electric efficiency by 11 percentage points, a decrease in net electricity production by 62 MWe, and an increase in the amount of waste water. In addition, more consumables are needed.

scholarly journals Virtual power plants - types and development opportunities

2019 ◽  
Vol 137 ◽  
pp. 01044
Author(s):  
Arkadiusz Przychodzień
Keyword(s):  
Distribution System ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Clean Energy ◽  
Virtual Power ◽  
Wide Range ◽  
Virtual Power Plants ◽  
New Energy ◽  
Storage Technologies ◽  
And Storage

Modern power engineering meets new challenges. With the development of new energy production and storage technologies, creates new demands for energy services. To support this development, it is necessary to implement new teleinformatic systems that will allow for resource management. Such systems are called Virtual Power Plants (VPP). There are many definitions of this type of solutions due to the very wide range of possible applications. VPPs can be developed by many types of entities, e.g. distribution system operators, electricity generators, energy clusters. The ability to build a system based on modules allows you to customize the system to user’s needs. An opportunity for the development of VPP will be a package “Clean energy for all Europeans” (so called “Winter package”) that introduces regulations that allow for the development of renewable energy sources, including prosumers, and enables an active participation in the energy market for energy consumers. In addition, more stringent requirements for balancing production and energy consumption are introduced, requiring greater balancing accuracy.

ANALYZING PROCUREMENT ROUTE SELECTION FOR ELECTRIC POWER PLANTS PROJECTS USING SMART

2015 ◽  
Vol 21 (7) ◽  
pp. 912-922 ◽  
Author(s):  
Mohamed Marzouk ◽  
Lobna Elmesteckawi
Keyword(s):  
Electric Power ◽  
Delivery System ◽  
Construction Projects ◽  
Power Plants ◽  
Decision Support Tool ◽  
Combined Cycle ◽  
Support Tool ◽  
Electric Power Plants ◽  
Critical Measure ◽  
Measure Of Performance

The decision of selecting the appropriate procurement/delivery system for large investment construction projects is a critical and challenging task for clients, and therefore a significant factor for the project’s success. Complex projects as electric power plants can involve managing multiple contracts or subcontracts simultaneously or in sequence. The aim of this paper is to develop, and analyze a decision support tool to select the most efficient procurement/delivery system for multiple contracts Combined Cycle Power Plants (CCPP) constructed in Egypt and funded by the publicsector. This process involved the identification of various procurement routes, followed by the utilization of quantitative values developed in accordance with the requirements of the multi-criteria decision analysis technique known as simple multi-attribute rating technique (SMART). Results revealed that the procurement/delivery system with the highest score, for all contractual packages, is the integrated project delivery method (IPD) under which other procurement/delivery methods could be utilized such as performance-based contracting (PBC), and construction management (CM). Further in this research, a sensitivity analysis approach was adopted to validate the IPD selection, and to determine the most critical criterion and the most critical measure of performance for each contractual package.

Sign in / Sign up

Export Citation Format

Share Document