Consumer loss in Czech photovoltaic power plants in 2010–2011

Průša, Jan; Klimesová, A; Janda, Karel

doi:10.1016/j.enpol.2013.08.023

Cited by 19 publications

(7 citation statements)

References 14 publications

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“…Moreover, the Czech Republic is committed to achieving a 13% share of renewable energy in total gross energy consumption in 2020 [43] and almost 20% in 2030 (indicative target [44]). In combination with the present low public support provided for renewable sources it could be also difficult to reach these targets when new brown coal reserves will be accessible (since 2014 the Czech government no longer subsidises new photovoltaic and biogas power plants with feed-in-tariffs or a quarantined price, and this subsidies to all other new renewable sources, except small hydro ceased from 2016 [45]-partly as a result of massive subsidising in 2009 and 2010 as analysed in [46]. On the other hand, an investment subsidy for photovoltaic in households was introduced in 2016).…”

Section: Discussionmentioning

confidence: 99%

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

Rečka

Ščasný

2017

Energies

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Abstract:In 2015, a 24-year-long prohibition of coal mining within some territories in the North Bohemia coal basin was lifted and as a consequence mining a part of the brown coal reserves might well be resumed. This paper analyses the impacts of maintaining the ban versus three options for a less environmentally stringent policy on the Czech energy system; fuel-and technology-mix, the costs of generating energy, emissions and related external costs up to 2050. We find that overall the effect of lifting the ban, on coal usage, air pollutant emissions and hence externalities is rather small, up to 1-2% compared to the level of keeping the ban. The small difference in the impacts remains even if changes in the prices of fossil fuels and European Emission Allowances or different development in nuclear power usage are assumed. In fact, changing these assumptions will result in more pronounced differences in the impacts than the four policy options might deliver. Maintaining the ban would not achieve the European Energy Roadmap 2050 target and the newly adopted policy and the other two counter-environmental proposals would miss the 80% reduction target to an even greater degree. The environmental and external health costs attributable to emissions of local air pollutants stemming from power generation are in a range of €26-32 billion over the whole period and decline from about 0.5% of gross domestic product in 2015 to 0.1% in 2050.

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Section: Discussionmentioning

confidence: 99%

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

Rečka

Ščasný

2017

Energies

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“…In the Czech Republic, we can find mainly economic analyses of renewable energy sources implementation and its economic aspects, for example Ryvolová and Zemplinerová (2010) analysed costs connected with the growth of wind energy supply, Pawliczek (2011) described photovoltaic sector and its development. Průša et al (2013) analysed consumer loss in photovoltaic power plants in the period 2010-2011 and Janda et al (2014) focused on the total historical and future costs of supporting photovoltaic electricity generation in the Czech Republic. The model estimation of such costs is accompanied by a methodologically unified comparison with the costs of supporting other renewable energy resources.…”

Section: Literature Overviewmentioning

confidence: 99%

Public Support of Solar Electricity and its Impact on Households - Prosumers

2018

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Background and Purpose: Currently, the idea of households - prosumers is broadly discussed in public governments, mainly in connection with both the energy security issues and the environmental issues. Therefore, the main goal of this paper is to present new agent model of household - prosumer and to compare two scenarios – “off grid household” and “on grid household”. The additional goal is to evaluate the impact of public support of solar electricity on the economic efficiency of household – prosumer projects (systems).Design/Methodology/Approach: The model is structured as a micro-level agent model, representing one household – prosumer. The model has the following general characteristics: one household with own electricity generation (photovoltaic panels), battery and in case of “on grid household” also connection to the grid. The main goal of the agent is to cover electricity consumption in household with minimal costs. The agent model of prosumer is tested and validated, using the empirical data.Results: The highest level of subsidy has significant impact on the economic indicators of selected scenarios. It causes lower investment costs at the beginning of the project and consequently shorter payback period (3-4 years earlier), positive cumulative cash flow, net present value and IRR in earlier period (approximately 5-10 years earlier, depending on the scenario).Conclusion: We can recommend to the government to continue with current system of subsidies, since it contributes to better economic indicators of particular solar electricity projects. On the other hand, the level of subsidy should be at least the same as in current year 2017, for the purposes of representing the significant part of the investment costs. Low level of subsidy has negligible impact on the economic indicators of households – prosumers projects. The developed agent model is suitable for the evaluation of economic impact of public support on households – prosumers.

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“…A fix vagy garantált átvételi ár (vagy betáplálási tarifa; feed-in-tariff) a legelterjedtebb ösztönzési módszer, időnként prémiumárral és zöldbizonyítvánnyal kombináltan (mezeI C. 2014), és a szakirodalom szerint (NicoLiNi, m. − tavoNi, m. 2017) bizonyítottan ez a leghatékonyabb eszköz is, amely elősegíti a megújuló energiák leggyorsabb fejlődését, tekintetbe véve annak pontos gazdasági, megtérülési, fejlesztésösztönzési hatásait. A betáplálási tarifa lényege, hogy a megújuló energiaforrásból termelt elektromos áram átvételi árát fix módon garantálja; ez az ár pedig magasabb, mint a szokványos piaci ár, ösztönözve ezzel a technológia telepítését (Průša, J. et al 2013, NicoLiNi, m. − tavoNi, m. 2017. Ezen támogatásforma hatása azonban függ az országok sajátosságaitól, a kialakított szakpolitika egyedi kereteitől (meNdoNça, m. − Jacobs d. 2009, couture, t. − GaGNoN, y.…”

Section: Jellemző Támogatáspolitikák a Megújuló-energetikai Iparbanunclassified

“…A nagyon magas, hosszú időre garantált átvételi ár miatti beruházási, befektetői boom, valamint a fogyasztói villamos energia árának hirtelen emelkedése -az áram fogyasztói ára a 2010-es 6,7 EUR/MWh-ról 2012-re 16,8 EUR/MWh-ra növekedett (ERÚ, 2011) -következtében a cseh szenátus 2010 végén kénytelen volt visszamenőlegesen módosítani a megújuló energiákra vonatkozó politikáját, amely szerint a 2009-2010 között telepített 30 kW feletti kapacitású erőművekre 26%-os nyereségadót vetett ki, ezzel próbálva megállítani a növekvő fogyasztói árakat. Bár a tiltakozás nagy volt, az ártámogatási rendszer megmaradt a már korábban kiadott engedményezések mellett, a 26%-os nyereségadó kivetése és megtartása ugyanakkor megrendítette a befektetői bizalmat (sIvek, m. et al 2012, Průša, J. et al 2013. A támogatások visszafogása érezteti hatását, hiszen a telepítések nagyságrendje kisebb lett (2. ábra), 2013-ban "csak" 88 MW-nyi fotovillamos kapacitásfejlesztés történt (http://www.photon.info/photon_news_detail_en.photon?id=84610)…”

Section: Az áTalakuló Támogatáspolitikaunclassified

A nagyléptékű fotovillamos rendszerek támogatáspolitikai stratégiáinak különbségei a Kárpát-medence egyes országaiban

Varjú¹

2018

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The EU2030 goal includes the increase of renewable energy share to at least of 27% of the EU's energy consumption. Renewables, especially photovoltaic energy investments and use, have become very popular in the last few years. New technologies and solutions can contribute to an increasing development in renewable energy. However, there are policy factors that can influence this process. In order to achieve renewable goals, governments began to support green electricity which caused a significant boom in installed capacity in some Carpathian Basin countries. However, on the one hand, this increase has caused negative effects, including the overuse of subsidies and the cutback of supporting systems, as states could not maintain this high level of support. On the other hand, countries such as Croatia and Hungary maintained a slower increase of in-built photovoltaic capacity, thus keeping the state's subsidy amount (and the share of RES in energy consumption) low. Using the results of policy documents and development strategies, the author concludes by arguing that the key motivations behind investing in renewables differs state by state, and are influenced by central government. Based on the literature review and other researchers' findings, the funding of a balanced subsidy policy tool with three elements (Renewable Portfolio Standard, green certificate and feed-in tariff) can be a successful strategy.

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Consumer loss in Czech photovoltaic power plants in 2010–2011

Cited by 19 publications

References 14 publications

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

Public Support of Solar Electricity and its Impact on Households - Prosumers

A nagyléptékű fotovillamos rendszerek támogatáspolitikai stratégiáinak különbségei a Kárpát-medence egyes országaiban

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