12.11.2023 Aufrufe

vgbe energy journal 10 (2022) - International Journal for Generation and Storage of Electricity and Heat

vgbe energy journal - International Journal for Generation and Storage of Electricity and Heat. Issue 10 (2022). Technical Journal of the vgbe energy e.V. - Energy is us! NOTICE: Please feel free to read this free copy of the vgbe energy journal. This is our temporary contribution to support experience exchange in the energy industry during Corona times. The printed edition, subscription as well as further services are available on our website, www.vgbe.energy +++++++++++++++++++++++++++++++++++++++++++++++++++++++

vgbe energy journal - International Journal for Generation and Storage of Electricity and Heat.
Issue 10 (2022).
Technical Journal of the vgbe energy e.V. - Energy is us!

NOTICE: Please feel free to read this free copy of the vgbe energy journal. This is our temporary contribution to support experience exchange in the energy industry during Corona times. The printed edition, subscription as well as further services are available on our website, www.vgbe.energy

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Abstracts | Kurzfassungen<br />

New storage technologies in the<br />

<strong>energy</strong> market<br />

Jan Weustink, Thorben Fohrmann,<br />

Sven Johannssen <strong>and</strong> Dagmar Thien<br />

The holy grail <strong>of</strong> <strong>energy</strong> trans<strong>for</strong>mation is not<br />

solely the extension <strong>of</strong> solar <strong>and</strong> wind parks.<br />

It is also about the availability <strong>of</strong> <strong>energy</strong> when<br />

needed. There<strong>for</strong>e, <strong>energy</strong> storage solutions are<br />

necessary to store the excessive renewable <strong>energy</strong><br />

on sunny <strong>and</strong> windy days to feed this back<br />

into the grid when needed. The major challenge<br />

here is not to store the <strong>energy</strong> <strong>for</strong> a day<br />

but rather <strong>for</strong> weeks or even months as seasonal<br />

storages: Electro-Chemical <strong>energy</strong> storage like<br />

batteries is expensive in production <strong>and</strong> limited<br />

in capacity, even if we already see a huge decline<br />

in costs over the past decade especially at<br />

Li-Ion batteries. Instead, other technologies are<br />

evolving to counter the challenges <strong>of</strong> storing <strong>energy</strong>.<br />

Among these are thermal storages, where<br />

this heat converts water into steam to drive<br />

conventional steam turbines or the heat is used<br />

<strong>for</strong> industrial processes or district heating solutions.<br />

Beneficial is the aspect that these thermal<br />

storages can be combined with existing steam<br />

cycle power plants. An important topic remains<br />

to support the national grids with primary <strong>and</strong><br />

secondary control. Sector coupling <strong>and</strong> Power<br />

to X-technologies <strong>of</strong>fer many more opportunities<br />

beyond the <strong>energy</strong> storage that also will be<br />

discussed in this article.<br />

SFRA as a reliable method <strong>for</strong> fault<br />

diagnostics on rotating machinery<br />

Lukas Ranzinger<br />

SFRA (sweep-frequency-response-analysis) is<br />

a method <strong>for</strong> fault diagnosis, which is already<br />

used <strong>for</strong> trans<strong>for</strong>mers due to its sensitivity to<br />

a wide range <strong>of</strong> faults. Recent investigations<br />

show promising results <strong>for</strong> the application <strong>of</strong><br />

the method on rotating machines. A basic behavior<br />

could be determined <strong>and</strong> confirmed on<br />

the basis <strong>of</strong> a model. Furthermore, a transferability<br />

between different machine types <strong>and</strong> power<br />

classes could be shown. The measurements<br />

are highly accurate <strong>and</strong> reproducible. SFRA<br />

thus <strong>of</strong>fers the possibility <strong>of</strong> detecting different<br />

<strong>and</strong> complicated fault types. The application is<br />

very simple, universal <strong>and</strong> can be carried out<br />

with little ef<strong>for</strong>t. The presented characteristic<br />

trace is used <strong>for</strong> a better underst<strong>and</strong>ing <strong>of</strong> SFRA<br />

measurements on rotating machines. In addition,<br />

two application cases <strong>for</strong> concrete fault<br />

detection are presented. Among other, the rotor<br />

angle is used <strong>for</strong> interpretation, which enables<br />

the evaluation without reference measurement.<br />

Direct <strong>and</strong> indirect control <strong>of</strong> process<br />

engineering plants with neural network<br />

Frank Gebhardt<br />

This paper follows up on the presentation at<br />

Uni per from KELI 2020: “Control <strong>of</strong> a waste<br />

boiler with neural network – First experience<br />

report” <strong>and</strong> presents further use cases <strong>for</strong> direct<br />

<strong>and</strong> indirect control <strong>of</strong> process plants with neural<br />

network. This is another waste incineration<br />

plant <strong>for</strong> indirect control with neural network<br />

<strong>and</strong> new types <strong>of</strong> plants. Behind them are a<br />

biomass plant (waste wood incineration), a<br />

fluidized bed combustion plant <strong>and</strong> a gas-fired<br />

power plant.<br />

The following direct <strong>and</strong> indirect controls <strong>of</strong><br />

process plants with neural network are currently<br />

being worked on (1) st<strong>and</strong>ard AI operator,<br />

which learns the control interventions<br />

in the process engineering process <strong>of</strong> the best<br />

human operator <strong>and</strong> can then execute them<br />

independently after the learning phase. (2) AI<br />

prediction with a new technology, which can<br />

predict process-related process values such as<br />

steam dips, boiler ceiling temperatures, EMI<br />

values such as CO <strong>and</strong> NOx in the range <strong>of</strong> up<br />

to half an hour (MW) with the help <strong>of</strong> a control<br />

system. This technology can be used to per<strong>for</strong>m<br />

predictive human place interventions in the<br />

process, which in turn can be used to train a<br />

new neural network as described in point 1.<br />

Collection <strong>and</strong> use <strong>of</strong> digital<br />

in<strong>for</strong>mation twins <strong>for</strong> the recommissioning<br />

<strong>of</strong> fossil-thermal<br />

power plants – Efficient ways <strong>for</strong><br />

brownfield re-engineering<br />

Hans Preuss<br />

Scarce resources, changing personnel <strong>and</strong> multi-shift<br />

operations dem<strong>and</strong> intelligent knowledge<br />

management. The depersonalisation <strong>of</strong><br />

in<strong>for</strong>mation is indispensable <strong>for</strong> the successful<br />

<strong>and</strong> safe operation <strong>of</strong> <strong>energy</strong> industry plants.<br />

Digitalisation successes are there<strong>for</strong>e not only<br />

achieved by companies on the cost side, but also<br />

in terms <strong>of</strong> data availability, process optimisation<br />

<strong>and</strong> the use <strong>of</strong> external human resources.<br />

The current political situation <strong>and</strong> the associated<br />

challenges place further dem<strong>and</strong>s on the<br />

digital twin <strong>of</strong> a fossil-thermal plant.<br />

Analysis <strong>of</strong> VERA core physics<br />

benchmark problems with DRAGON5<br />

<strong>and</strong> DONJON5 computer codes<br />

Amjad Ali, Meer Bacha, Ghayoor Ahmed,<br />

Umer Ali, Nadeem Shaukat<br />

<strong>and</strong> Rustam Khan<br />

This paper presents the validation <strong>of</strong> open<br />

source codes DRAGON5 <strong>and</strong> DONJON5 <strong>for</strong><br />

Pressurized Water Reactors (PWRs) through<br />

Virtual Environment <strong>for</strong> Reactor Applications<br />

(VERA) core physics benchmark problems. The<br />

objective <strong>of</strong> this study is to validate these codes<br />

prior to reactor core analyses <strong>and</strong> in-core fuel<br />

management <strong>of</strong> Pakistan’s operating Nuclear<br />

Power Plants (NPPs). The agreement with reference<br />

provides a valid justification <strong>for</strong> the application<br />

<strong>of</strong> these codes to currently operating<br />

commercial power reactors.<br />

Business models<br />

<strong>and</strong> incentives <strong>for</strong> CCUS<br />

Stephanie Metzger<br />

Carbon capture, utilisation, <strong>and</strong> storage (CCUS)<br />

is considered essential <strong>for</strong> meeting climate<br />

change mitigation goals, according to the <strong>International</strong><br />

Energy Agency (IEA) <strong>and</strong> the Intergovernmental<br />

Panel on Climate Change (IPCC).<br />

However, deployment <strong>of</strong> CCUS has been slow<br />

worldwide, partly due to a lack <strong>of</strong> adequate<br />

commercial incentives to encourage investment<br />

in new projects. The development <strong>of</strong> policies<br />

<strong>and</strong> incentives to create a compelling business<br />

model <strong>for</strong> CCUS has there<strong>for</strong>e been at the centre<br />

<strong>of</strong> ef<strong>for</strong>ts to progress the technology. This report<br />

examines the barriers to CCUS deployment, potential<br />

ownership models, <strong>and</strong> business models,<br />

policies, <strong>and</strong> revenue streams that can incentivise<br />

the use <strong>of</strong> CCUS. Barriers include economic<br />

<strong>and</strong> market risks, policy risks, <strong>and</strong> regulatory<br />

risks. Traditional <strong>and</strong> new ownership models<br />

are explored.<br />

Pre-treatment <strong>of</strong> coal <strong>for</strong> efficiency<br />

<strong>and</strong> emissions improvements<br />

Colin Henderson<br />

Various fuel additives have been developed <strong>for</strong><br />

the pretreatment <strong>of</strong> coal. The aim <strong>of</strong> the additives<br />

is to improve the combustion per<strong>for</strong>mance<br />

<strong>of</strong> coal <strong>and</strong> reduce the emissions <strong>of</strong> pollutants.<br />

The status <strong>of</strong> four additives is reviewed: Sootaway,<br />

CETALYST A, Addicoal <strong>and</strong> Silanite.<br />

Three developers, Johnsen Chemicals AS Norway,<br />

Combustion <strong>and</strong> Emissions Technologies,<br />

LLC, in the USA, <strong>and</strong> MEA CAPITAL Ltd’s subdivision<br />

COALTECH appear to remain active in<br />

the area. The main market is likely to be smaller,<br />

inefficient boilers <strong>and</strong> furnaces.<br />

Review <strong>vgbe</strong> Chemistry<br />

Conference <strong>2022</strong><br />

This year, the <strong>vgbe</strong> Chemistry Conference took<br />

place <strong>for</strong> the 58 th time from 25 to 27 October<br />

<strong>2022</strong> in Dresden with around 170 participants<br />

from Germany <strong>and</strong> abroad. New <strong>vgbe</strong>-St<strong>and</strong>ards,<br />

water treatment, cooling water treatment<br />

<strong>and</strong> challenges <strong>of</strong> FGD plants were the focus <strong>of</strong><br />

the conference.<br />

<strong>vgbe</strong> Conference Review Fuels,<br />

Firings <strong>and</strong> Flue Gas Cleaning <strong>2022</strong><br />

The Conference “Fuels, Firings <strong>and</strong> Flue Gas<br />

Cleaning <strong>2022</strong>” took place on September 28<br />

<strong>and</strong> 29, <strong>2022</strong> in Hamburg. The range <strong>of</strong> topics<br />

was accordingly diverse <strong>and</strong> extended from the<br />

use <strong>of</strong> sensors <strong>for</strong> vibration measurement to the<br />

use <strong>of</strong> different materials <strong>and</strong> fuels in the boiler<br />

area <strong>and</strong> the reduction <strong>of</strong> mercury, dust <strong>and</strong> SO 2<br />

emissions.<br />

Requirements <strong>for</strong> capacity expansion<br />

<strong>and</strong> fuel supply <strong>for</strong> a future-pro<strong>of</strong>,<br />

secure <strong>and</strong> climate-friendly electricity<br />

supply in Germany<br />

Hans-Wilhelm Schiffer , Stefan Ulreich<br />

<strong>and</strong> Tobias Zimmermann<br />

The electricity system in Germany faces two<br />

challenges: a significant increase in dem<strong>and</strong><br />

<strong>for</strong> electricity, which is increasingly used <strong>for</strong><br />

heating/cooling <strong>and</strong> in mobility - <strong>and</strong> a growing<br />

share <strong>of</strong> highly weather-dependent electricity<br />

generation, which leads to a more complex<br />

balancing between electricity generation <strong>and</strong><br />

consumption. As a result, the dem<strong>and</strong> <strong>for</strong> dispatchable<br />

power will at least not decrease <strong>and</strong><br />

power plant capacity to be shut down will have<br />

to be replaced by new dispatchable power. It<br />

is needed <strong>for</strong> short-term fluctuations <strong>and</strong> <strong>for</strong><br />

seasonally deployable power, since e.g. the dem<strong>and</strong><br />

<strong>for</strong> electricity <strong>for</strong> heating will rein<strong>for</strong>ce<br />

the previous seasonality. In addition to other<br />

solutions such as dem<strong>and</strong> response <strong>and</strong> electricity<br />

storage, hydrogen-fired gas power plants<br />

are increasingly <strong>of</strong>fering themselves as a solution<br />

- in combination with the use <strong>of</strong> gas storage<br />

facilities <strong>and</strong> the international infrastructure <strong>for</strong><br />

importing liquid or gaseous <strong>energy</strong> sources.<br />

6 | <strong>vgbe</strong> <strong>energy</strong> <strong>journal</strong> <strong>10</strong> · <strong>2022</strong>

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