Showing 15 pages using this property.
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SciGRID gas + | The SciGRID_gas project provides an open-source gastransmission data model for Europe with rich geographical and meta information originating from various publicly available sources. It is build by the German Aerospace Center DLR Institute of Networked Energy Systems Oldenburg and funded as a three year project by the German Federal Ministry for Economic Affairs and Energy (BMWi).
The following SciGRID_gas data sets are available:
• INET_Raw: InternetDaten data set; Data originates from an internet research of Wikipedia, gas TSOs
fact sheets, maps, press releases and more.
• INET_filled: INET_raw dataset with all empty values estimated by heuristic processes and filled
into the dataset
• GIE_Raw: Gas Infrastructure Europe data set; Data orginates from Gas Infrastructure Europe
• NO_Raw: Norway data set; Data originates from Gassco AS, The Norwegian Ministry of Petroleum and Energy
(www.norskpetroleum.no)
• LKD_Raw: Long-term Planning and Short-term Optimization data set; Data originates from gas data of LKD_EU
(ISBN: 978-3-86780-554-4) project
• EMAP_Raw: Entsog Capacity Map 2019
• SciGRID_gas IGG: merged data sets of INET_raw, GIE and International Gas Union data set (GSE) data and
heuristic process to fill missing parameter values
• SciGRID_gas IGGI: merged data sets of INET, GIE, GSE and International Gas Union data set (IGU)
• SciGRID_gas IGGIN: merged data sets of INET, GIE, GSE, IGU and NO
• SciGRID_gas IGGINL: merged data sets of INET, GIE, GSE, IGU, NO and LKD
All data sets can we downloaded at https://zenodo.org/search?page=1&size=20&q=SciGRID_gas. |
SciGRID power + | SciGRID is an open source model of the European transmission network. On the 15.06.2015 the first version (release V0.1) of SciGRID was released and the second version (release V0.2) was made available on the 20.11.2015. The third release of SciGRID (release 0.3) was made available on the 1st of August 2016 and includes a European and German dataset. |
SimSEE + | SimSEE is a platform for the Simulation of Systems of Electrical Energy. As such, it allows creating simulators tailored to a generation system, simply by adding the different types of Actors (thermal, wind, solar and hydraulic generators, demand, interconnections, etc.) to a Play-Room (simulation environment). These Actors behave in the Room according to their type.
It is 100% programmed with Object Oriented technology which makes it easy to incorporate new models (types of Actors).
To simulate the optimal operation of an Electric Power System, SimSEE solves a Dynamic Stochastic Programming problem, obtaining as a result an Optimal Operation Policy. Using this Policy, different realizations of the stochastic processes (chronicles or possible histories of the future of the system) are simulated.
Since 2010, SimSEE has become the tool commonly used in Uruguay to simulate the operation of the energy system, mainly due to the good stochastic models developed for the modeling of wind and solar energy.
These models achieve an adequate representation, both in the long term (Investment Planning) and in the short term (System Operation). |
SimSES + | SimSES provides a library of state-the-art energy storage models by combining modularity of multiple topologies as well as the periphery of an ESS. This paper summarizes the structure as well as the capabilites of SimSES. Storage technology models based on current research for lithium-ion batteries, redox flow batteries, as well as hydrogen storage-based electrolysis and fuel cell are presented in detail. In addition, thermal models and their corresponding HVAC systems, housing, and ambient models are depicted. Power electronics are represented with AC/DC and DC/DC converters mapping the main losses of power electronics within a storage system. Additionally, auxiliary components like pumps, compressors, and HVAC are considered. Standard use cases like peak shaving, residential storage, and control reserve power provisions through dispatch of storage are discussed in this work, with the possibility to stack these applications in a multi-use scenario. The analysis is provided by technical and economic evaluations illustrated by KPIs. |
SpineOpt.jl + | SpineOpt is a flexible, open-source, energy system modelling framework for performing operational and planning studies, consisting of a wide spectrum of novel tools and functionalities. The most salient features of SpineOpt include a generic data structure, flexible temporal and spatial structures, a comprehensive representation of uncertainties, and model decomposition capabilities to reduce the computational complexity. These enable the implementation of highly diverse case studies. |
StELMOD + | stELMOD is a stochastic optimization model to analyze the impact of uncertain renewable generation on the dayahead and intraday electricity markets as well as network congestion management. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets. |
Switch + | Switch is a capacity-planning model for power systems with large shares of renewable energy, storage and/or demand response. It optimizes investment decisions for renewable and conventional generation, storage, hydro and other assets, based on how they would be used during a collection of sample days in many future years. The use of multiple investment periods and chronologically sequenced hours enables optimization and assessment of a long-term renewable transition based on a direct consideration of how these resources would be used hour-by-hour. The Switch platform is highly modular, allowing easy selection between prewritten components or addition of custom components as first-class elements in the model. |
System Advisor Model (SAM) + | The System Advisor Model (SAM) is a free techno-economic software model that facilitates decision-making for people in the renewable energy industry. |
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TIMES + | The TIMES model generator combines two different, but complementary, systematic approaches to modelling energy: a technical engineering approach and an economic approach. TIMES is a technology rich, bottom-up model generator, which uses linear-programming to produce a least-cost energy system, optimized according to a number of user constraints, over medium to long-term time horizons. |
TIMES Évora + | The TIMES-Évora is a city specific energy system model, which comprehensively represent Évora municipality energy systems, focusing on energy use in residential and non-residential buildings, transport systems and other energy uses (e.g. public lighting, small-scale industry etc.). It also will represent the city waste chain and water and sewage systems in what concerns its energy consumption. The key objective of the model is the identification of an optimum mix of applicable measures and technologies that will pave the way towards the achievement of the cities’ sustainable targets. |
TIMES-PT + | TIMES_PT is a technology rich, bottom-up model generator, which uses linear-programming to produce a least-cost energy system to satisfy the demand for energy services, optimized according to a number of user constraints (e.g. CO2 emissions cap), over medium to long-term time horizons. TIMES_PT characterizes the entire chain of the Portuguese energy system from 2005 to 2050 (in 5-year steps), including energy imports and production (e.g., oil and bio refineries), transformation (e.g., power and heat production), distribution, exports and end-use consumption, in industry, residential, services, agriculture and transport sectors and their respective sub-sectors.
TIMES_PT has been developed since 2004 and has benefited from the peer-review of numerous national partners from industrial sectors, power production, oil refining and end-use energy sectors. TIMES_PT model informed climate policy in Portugal in the last 10 years and has supported the design of climate mitigation policies.
The development of the TIMES_PT model started within the EU research project NEEDS and the national research project E2POL. Although its implementation was motivated by research goals, during the past decade the model has become a major tool supporting national climate mitigation policies, and to a lesser extent, air pollution policies. The Low Carbon Roadmap 2050 is a flagship policy document currently used as the Portuguese long term view on mitigation goals, while the PNAC— National Plan on Climate Change includes the visions up to 2030 from stakeholders from other policy areas, as transportation and industry. The negotiations for the revisions of the National Emission Ceilings Directive for 2020 and 2030, as well as the National Strategy for Air Quality (2015) were supported by projections generated by TIMES_PT. More recently, TIMES_PT was linked with a national CGE model, which has motivated its use in the Green Tax Reform. |
Temoa + | Tools for Energy Model Optimization and Analysis (Temoa) is an open source framework used to conduct analysis with a bottom-up, technology rich energy system model. |
TransiEnt + | The TransiEnt library is written in the Modelica modeling language and allows simulations of coupled energy networks with high share of renewable energies. The library can be downloaded for free and open source under the Modelica License 2.
The TransiEnt library contains object oriented components models of all major elements of the enegy infrastructure with its corresponding producers, consumers, grids and storage systems. These components can be used to simulate different scenarios from single power plants starting up to the simulation of primary control in the ENTSO-E grid. |
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URBS + | urbs is a linear programming optimisation model for capacity expansion planning and unit commitment for distributed energy systems. Its name, latin for city, stems from its origin as a model for optimisation for urban energy systems. Since then, it has been adapted to multiple scales from neighbourhoods to continents. |
USENSYS + | United States Energy SYStem (USENSYS) is an open source capacity expansion model (CEM, also knows as Reference Energy System model, RES), developped based on energyRt package for R. |