Discover and read the best of Twitter Threads about #dieter
Most recents (8)
1/ #heatpumps can help reducing imports of natural gas and CO2 emissions. But they also cause an increase in electricity consumption. We had a look how this plays out in the power sector. đ§”on our latest @DIW_Berlin_en #weeklyreport (first published in đ©đȘ) doi.org/10.18723/diw_d⊠
2/ What do #heatpumps do? They extract heat from the environment (usually from the air or the ground) and make it available for space heating at a higher temperature level. For this, they require some electricity.
3/ With our #opensource model #DIETER, we analyzed the power sector of the year 2030, using scenarios with different stocks of heat pumps: a reference with 1.7 mio, and three target scenarios with 3.9, 6.5 or 7.5 mio heat pumps.
1/ #WĂ€rmepumpen können helfen, Importe von #Erdgas und CO2-Emissionen zu reduzieren. Allerdings steigt dadurch auch der Stromverbrauch. Wir haben uns angeschaut, was dazu im Stromsektor passieren muss. Einđ§”zu unserem neuen @DIW_Berlin #Wochenbericht doi.org/10.18723/diw_wâŠ
2/ Was machen WĂ€rmepumpen? Sie entziehen der Umwelt (in der Regel der AuĂenluft oder dem Erdreich) WĂ€rme und bringen sie mit Hilfe von elektrischem Strom auf ein höheres, zum Heizen nutzbares Temperaturniveau.
3/ Wir haben uns mit unserem #opensource-Modell #DIETER den Stromsektor des Jahres 2030 angeschaut, und zwar Szenarien mit unterschiedlichen BestÀnden von WÀrmepumpen: Eine Referenz mit 1,7 Mio sowie drei Zielszenarien mit 3,9, 6,5 bzw. 7,5 Mio WÀrmepumpen.
1/ New paper: Comparison of 9 energy models focussing on flexibility options. First of 3 papers that came out of @BMWK #Modex #FlexMex project. Great effort led by H.C. Gils of @DLR_de! We at @TransEnerEcon contributed with #DIETER, kudos to @KittelMartin! doi.org/10.1016/j.rserâŠ
2/ Using fully harmonized input data, we separate the effects of different modeling approaches e.g. for demand response, battery-electric vehicles, hydro reservoirs, and transmission. Among the 9 models involved, there were particularly large differences in modeling DR and BEV.
3/ Given the breadth of test cases and and outcome indicators investigated in the comparison, it is quite hard to come up with a single catchy headline finding for #energytwitter, I'm afraid...
Typical results graph âŹïž
Typical results graph âŹïž
#NouvelleDeLavent #1dec Manon serrait le col de son manteau contre son cou comme si ça pouvait lâaider Ă passer entre les gouttes, la tĂȘte dans les Ă©paules elle parcourait rapidement les derniers mĂštres qui sĂ©paraient son cabinet de son appartement douillet.
La journĂ©e avait Ă©tĂ© pĂ©nible, elle avait commencĂ© par le cafĂ© renversĂ© sur le courrier de la veille quâelle nâavait pas eu le temps de lire et qui patienterait encore, puis le mal de pied au bout de 100 mĂštres dans ses nouvelles chaussures si jolies mais pas trĂšs confortables
Et enfin le message vocal en sortant du bus lui indiquant que son associĂ©e Ă©tait couchĂ©e avec une fiĂšvre de cheval et ne pourrait pas venir travailler aujourdâhui, elle allait devoir jongler entre les patientsâŠca promettait une journĂ©e bien compliquĂ©e.
What are the economics of increasing variable #renewable energy (VRE) sources and electricity #storage in electricity markets?
@WPSchill and I try to explain it in the @AnnualReviews of Resource Economics đ§”:
annualreviews.org/doi/full/10.11âŠ
#energytwitter #econtwitter
1/20
@WPSchill and I try to explain it in the @AnnualReviews of Resource Economics đ§”:
annualreviews.org/doi/full/10.11âŠ
#energytwitter #econtwitter
1/20
Wind and solar photovoltaics (PV) will be the main sources of electricity by 2050, accounting for almost 70% of global electricity generation, according to the @IEA Net Zero 2050 scenario.
iea.org/data-and-statiâŠ
2/20
iea.org/data-and-statiâŠ
2/20
Wind and PV are variable: they only produce when the resource is available.
Solar always produces more in summer than in winter and only by day peaking at noon.
Wind is more location-specific, e.g. it produces more in winter in Germany and in summer in California.
3/20
Solar always produces more in summer than in winter and only by day peaking at noon.
Wind is more location-specific, e.g. it produces more in winter in Germany and in summer in California.
3/20
1/ KĂŒnftig sollen ja diverse Anwendungen in der MobilitĂ€t, im WĂ€rmebereich und in der Industrie direkt-elektrisch oder mit grĂŒnem Wasserstoff versorgt werden. Welchen Strommix sollte man dieser #Sektorenkopplung zuordnen? Hier ein 𧔠mit Gedanken zu drei verschiedenen AnsĂ€tzen.
2/ Ich sehe in der Literatur und der öffentlichen Debatte drei verschiedene AnsÀtze zur Bestimmung des Strommixes der Sektorenkopplung (und den damit verbundenen Emissionen und Erzeugungskosten):
1⣠Grenzkraftwerk
2⣠Durchschnittlicher Strommix
3⣠System-Differenzen
1⣠Grenzkraftwerk
2⣠Durchschnittlicher Strommix
3⣠System-Differenzen
3/ 1⣠Grenzkraftwerk (bzw. marginales Kraftwerk): Hier ordnet man dem Stromverbrauch der Sektorenkopplung in jeder Stunde den Strom aus dem jeweils letzten Kraftwerk der Merit Order zu, also das Kraftwerk mit freien KapazitÀten. Hier wird der Stromverbrauch der Sektorenkopplung
1/ Energy modelers, are you aware of unintended storage cycling? đđ€This model artefact may occur when using binding renewable energy targets in your model. I and @WPSchill explore this in a new preprint: arxiv.org/abs/2107.13380 #energytwitter
2/ The general mechanism: Instead of curtailing temporary renewable surplus energy, excess electricity is converted into unintended storage losses by simultaneous storage charging and discharging. The increase in VRE generation then falsely contributes to the renewable target.
3/ The increase in renewable generation can be realized without additional renewable capacity installations, and seemingly helps achieving the renewable energy target at lower costs. Yet, it does not serve final demand, and requires additional generation from other technologies.
1/ Hi #energytwitter, I'm excited to share my thoughts on the changing role of #electricity #storage in the #renewable #energy transition in my new @Joule_CP Commentary! @CellPressNews đ
doi.org/10.1016/j.joulâŠ
A little thread âŹïž
doi.org/10.1016/j.joulâŠ
A little thread âŹïž
2/ I discuss three strands of the literature, and illustrate how the main driver for (bulk) electricity storage deployment shifts from taking up renewable surplus generation to supplying peak residual load when the renewable share increases (and what changes with sector coupling)
3/ I do so with residual load duration curves (RLDC) from a stylized #opensource model. The RL in one hour is the electric load during this hour, minus the potential generation of variable renewables. A RLDC sorts all hourly RL values of a full year in descending orderđ€
