User:RobbieIanMorrison/sandbox/work in progress 2

GenX
GenX is power sector capacity expansion model originally developed by researchers in the United States. The framework is written in Julia (the only such project listed here ) and uses the JuMP library for building the underlying optimization problem. GenX through JuMP can utilize various open source optimization solvers (including CBC/CLP) and commercial solvers (including CPLEX and Gurobi). In June2021, the project launched as an active open source project and test suites are provided to assist onboarding.

In parallel, the PowerGenome project is designed to provide GenX with a comprehensive current state dataset of the United States electricity system. That dataset can then be used as a springboard for the development of future scenarios.

GenX has been used to explore long-term storage options in systems with high renewables shares. While North America remains a key focus, the software has been applied to problems in India, Italy, and Spain.

WCF trials

 * stub

Miscellaneous

 * add German Climate Action Plan 2050 to List of climate change initiatives
 * urban form article: https://www.cleanenergywire.org/news/trump-rages-against-wind-turbines-germany-powers-france/urban-planning-key-achieving-two-degree-target
 * Felix Creutzig (lead author) (MCC) on "'going green' now in terms of infrastructure and buildings could cut future emissions in half".
 * EU energy package: https://www.cleanenergywire.org/news/german-reactions-eu-energy-package


 * Private Participation in Renewable Energy Projects: http://ppi-re.worldbank.org/

REMIND-D

 * : priority
 * REMIND-D


 * documentation


 * documentation (identical to above)


 * recommended paper: Schmid and Knopf (2012)


 * report version (of above?)


 * the project it was embedded in


 * see email traffic from Eva Schmidt (24-Nov-2016)
 * Actually it was more about a pilot project to involve stakeholders in scenario development. The paper attached presents the process and resulting scenarios.


 * REMIND


 * also known as REMIND-R (for regional?)
 * PIK webpage (with diagram): https://www.pik-potsdam.de/research/sustainable-solutions/models/remind
 * source code can be downloaded after registration for inspection only: "for the sole purpose of reading"


 * REMIND documentation

Germanwatch

 * Climate Change Performance Index 2017
 * press release and report are available

Climate Action Plan 2050

 * draft out an 'infobox public policy' template (can wait)
 * see also
 * Template:Infobox legislation and similar

EU legislation

 * add to Template:Legislation of the European Union
 * energy efficiency directive
 * latest renewable energy directive?

Climate study

 * Energy Watch Group
 * http://energywatchgroup.org/home-new/
 * New EWG study: Germany falls behind on its climate targets
 * http://energywatchgroup.org/new-ewg-study-germany-falls-behind-climate-targets/
 * https://www.cleanenergywire.org/news/german-climate-targets-too-weak-study-vw-denies-manipulation

Natural gas campaign

 * natural gas campaign in Germany in late-2016

EU Energy Union

 * EU Energy Union document, 2015

Priority dispatch
Documents leaked in late-2016 reveal that a confidential European Union impact assessment analyzes four scenarios for paring back the 'priority dispatch' system afforded to renewable generation in many countries. The assessment concludes that removing priority dispatch could increase carbon emissions by 45million to 60million tonnes per annum or up to 10%, with the aim of making European energy generators more flexible and cost-competitive. Priority dispatch is mandated under the current EU renewable energy directive, although the United Kingdom, the Netherlands, and Sweden do not comply. Industry sources told The Guardian that it is "highly likely" that priority dispatch will be removed from the next EU directive, which takes effect from 2020. Sources also said that renewable generators would seek financial compensation if priority dispatch is eliminated. The WindEurope trade association reacted strongly to the news.

IPCC integrated modeling

 * Bruckner (2016) essay on IPCC update


 * Waldman (2015) on IPCC's shifting position on nuclear power

EMF

 * EMF PP 6.2: The Energy Modeling Forum: An Overview
 * https://emf.stanford.edu/publications/emf-pp-62-energy-modeling-forum-overview
 * https://web.stanford.edu/group/emf-research/docs/planning_papers/PP0602.pdf


 * Sweeney (1983)


 * EMF SR 4: Engineering-Economic Modeling: Energy Systems
 * https://emf.stanford.edu/publications/emf-sr-4-engineering-economic-modeling-energy-systems


 * EMF OP 52: Modeling Energy Markets and Climate Change Policy
 * https://emf.stanford.edu/publications/emf-op-52-modeling-energy-markets-and-climate-change-policy


 * EMF WP 12.3: Model Technical Summaries
 * https://emf.stanford.edu/publications/emf-wp-123-model-technical-summaries

EMF 32
US GHG and revenue recycling scenarios

The Energy Modeling Forum (EMF), coordinated by Stanford University, is due to release its EMF32 report in late-2016. The study is titled "US GHG and revenue recycling scenarios" and will, among other things, look at the redistribution of revenue from selected climate policies. I image a carbon tax or fee is one of those policies. Quoting from the EMF website:

"The purpose of this modeling exercise is to use energy-economic models to assess emissions, energy and economic outcomes from a plausible range of US policies to reduce greenhouse gases (GHGs). In addition to standard emphasis on the effects of such policies on emissions, energy prices and macroeconomic performance, an economic issue of particular interest will be how fiscal decisions on revenue distribution might also affect these outcomes."

The study appears appropriate for this article and should probably be added when released. Best wishes. RobbieIanMorrison (talk) 19:17, 24 October 2016 (UTC)

IIASA study

 * Citizens Climate Lobby
 * Fee and dividend


 * Ummel (2016) IIASA working paper

Environmental taxation study

 * : read
 * Klenert et al (2016)
 * circulated by CCL-D

Kirstins material

 * Rausch et al (2010)


 * Hinkle and Richter (2016)


 * Ummel (2016)

Energy modeling

 * Huntington et al (1982) on modeling for insight


 * Strachan and Kannan (2008) on hybrid modeling for the UK


 * Pfenninger et al (2014)


 * Herbst et al (2012) on an introduction to energy system modeling


 * Strachan et al (2016) on reinventing the energy modelling–policy interface
 * "Third, silos are built-up around different modelling approaches. These silos of modellers — for example, IAMs, energy system optimization models (ESOMs), agent-based models, and systems dynamics, computable general equilibrium (CGE), electricity dispatch, transport discrete choice and building stock models — form their own professional networks, attend specific conferences, publish in a core set of journals and utilize different data banks (for example, CGE modellers and the Global Trade Analysis Project initiative)." (p1)
 * "Third, silos are built-up around different modelling approaches. These silos of modellers — for example, IAMs, energy system optimization models (ESOMs), agent-based models, and systems dynamics, computable general equilibrium (CGE), electricity dispatch, transport discrete choice and building stock models — form their own professional networks, attend specific conferences, publish in a core set of journals and utilize different data banks (for example, CGE modellers and the Global Trade Analysis Project initiative)." (p1)
 * "Third, silos are built-up around different modelling approaches. These silos of modellers — for example, IAMs, energy system optimization models (ESOMs), agent-based models, and systems dynamics, computable general equilibrium (CGE), electricity dispatch, transport discrete choice and building stock models — form their own professional networks, attend specific conferences, publish in a core set of journals and utilize different data banks (for example, CGE modellers and the Global Trade Analysis Project initiative)." (p1)


 * Gargiulo and Gallachóir (2013) on long-term energy models
 * https://dl.dropboxusercontent.com/u/19774761/Energy.pdf
 * https://dl.dropboxusercontent.com/u/19774761/Energy.pdf

WEM

 * World Energy Model
 * used by IEA World Energy Outlook
 * http://www.worldenergyoutlook.org/weomodel/
 * WEM documentation

Ongoing
✅




 * systems versus sectors


 * energy modeling using MARKAL for low carbon pathways for the United Kingdom

Modeling

 * Van Beeck (1999) on classifying energy models


 * Bahn et al (2005) in the EOLSS encyclopedia


 * Van Ruijven et al (2008) on energy models and concepts


 * Wei et al (2006)

Modeling and developing countries

 * Urban et al (2007) on modeling energy systems for developing countries

PRIMES

 * : priority
 * Energy modeling

PRIMES
PRIMES is an energy model developed at the E3MLab, Institute of Communication and Computer Systems, National Technical University of Athens (ICCS/NTUA), Athens, Greece.

WikiWoods

 * WikiWoods

Images

 * flickr: http://www.flickr.com/groups/893922@N20/
 * good photos
 * all rights reserved
 * Hary?: https://www.flickr.com/photos/48212537@N03/4417422995/in/pool-893922@N20/
 * CC BY-SA 2.0
 * Anja Vatterodt: https://www.flickr.com/photos/30880595@N08/3000262951/in/pool-893922@N20/

SRU
✅: 100% renewable energy


 * German Advisory Council on the Environment / Sachverständigenrat für Umweltfragen (SRU)
 * http://www.umweltrat.de/EN/Reports/reports_node.html


 * "Ambitious climate protection and industrial competitiveness"
 * "Shaping the Electricity Market of the Future"
 * "Environment and Free Trade: Environmentally sound design of TTIP"
 * "Climate-friendly, reliable, affordable: 100% renewable electricity supply by 2050"

Checklist paper

 * Cao et al (2016)

General
Scenario method

Scenarios

Good definition of system, earlier review pre-OOD

IRGC study on future energy demand

Model archaeology

Model types
2010 review

Variable renewables typology

Twenty-first century

Urban systems

Improving energy decisions

Scenarios in the EU Energy Roadmap 2050

Other
US DOE Public Access Plan

Storylines

Bayesian Model Averaging

Guidelines on electricity data transparency

Energy scenarios

 * checklist paper
 * checklist paper
 * Volkery and Ribeiro (2009) on scenario planning in public policy


 * Varum and Melo (2010) on scenario planning


 * Blomgren et al (2011) on scenario planning in the energy sector in Europe


 * Börjeson et al (2006) on a user's guide to scenario types and techniquies