DOCSLIB.ORG

PV Integration and the Merit Order Effect (Webinar Transcript)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
PV Integration and the Merit Order Effect (Webinar Transcript) PV Integration and the Merit Order Effect —Transcript of a webinar offered by the Clean Energy Solutions Center on 26 September 2019— For more information, see the clean energy policy trainings offered by the Solutions Center. Webinar Presenter David Jacobs International Energy Transition This Transcript Because this transcript was created using transcription software, the content it contains might not precisely represent the audio content of the webinar. If you have questions about the content of the transcript, please contact us or refer to the actual webinar recording. David Jacobs Hello around the world, and welcome to the next session of the International Solar Alliance Expert Training Course. I am Dr. David Jacobs speaking here from Berlin. I'm very pleased to discuss with you today Session 28, which deals with PV Integration and the Merit Order Effect. So we're going to have a closer look at the impact of solar PV in wholesale electricity markets, which is a very interesting topic, and I'm very glad that you joined this webinar. As you probably know, this is a webinar in cooperation of the International Solar Alliance and the Clean Energy Solutions Center. So thank you very much for providing this platform, and for teaching experts about solar policies and solar regulation. I am David Jacobs, founder and director of the consulting firm IET—International Energy Transition. Working for almost 15 years now in the renewable energy policy sector. Working in a lot of countries around the world, and having dealt with solar PV integration in a lot of cases. I'm very glad to discuss this topic with you today. As you probably also know, this is part of a larger webinar series. We have a total of eight modules dealing with policies for distributed PV for largescale solar PV, technical integration, market integration, off-grid solar, and so on. This is part of module five, which deals with market integration. We have a total of four sessions on this topic. And if you're interested in additional information on these topics, related information, please also make sure you look at webinar 15, which deals with subsidy-free solar pathways forward. So what actually happens once you reach cost competitiveness of solar PV, either in wholesale electricity markets, or behind the grid, behind the meter. And please also make sure you check out the previous and next webinar, which is 27, system integration of solar PV, and 29, dealing with a duck curve, where we take a closer look at the Californian electricity market, and how they deal with best practice strategies for integrating increasing amounts of solar PV. And, last but not least, there's two more sessions on storage, and also another one on power to X, so solar PV to transport, or solar PV to heating and cooling, which might also be of great interest to you if you're interested in PV system integration. So here is an overview of this training session. First of all, we will discuss learning objectives, then go to the core part of the webinar—that is understanding the effects of increasing shares of solar PV in wholesale electricity markets, effects that they have on prices in these markets. Then, as always, we have some further reading, and, in the end, we have a very short multiple-choice knowledge check to see whether you actually captured the major takeaways of this webinar. So let's start by looking at the learning objective. So after this one-hour webinar, it would be great if you would understand first of all the basic functioning of wholesale electricity markets, of competitive wholesale electricity markets. So you need to understand first of all what the merit order is, in order to then understand in the second step what the merit order effect is—that means the impact of solar PV or other renewable energy technologies on the price level in the wholesale electricity markets. We're also going to have a short session on some case studies, where we look at some countries which have already built up a significant amount of solar PV, where you can analyze the impact that this has on wholesale electricity prices. And, last but not least, and from my point of view this is the most interesting part, we want to discuss as well with you some parameters that policymakers can apply in order to counterbalance this merit order effect. So, in other words, to stabilize _____ electricity markets once you move into markets which are more and more decarbonized, where more and more solar PV, wind energy, and other decarbonized technologies are integrated, how can you manage that _____ prices will not collapse, and there's still enough revenues to be earned for these power producers in the longer-term future. So, let's first discuss the merit order in competitive wholesale electricity markets. So here on one slide I have summarized for you the last 40 years of electricity regulatory tradition in just a few bullet points. You have to understand that this is from a historic point of view a relatively new development. Until the 1970s, we had highly irregulated markets, mostly monopolistic markets, where power producers were all paid according to the different cost of their technologies. So we called this regulation the cost-plus regulation, because you were looking at the overall cost, including operation costs, but also finance costs, and also fixed cost—that's just building the coal- pipe power plant, building the gas turbine. And on top of this, you'd get a certain profit margin so you could actually also earn some money with your power generation project. This has changed then in the late 1970s, where first of all in the United States marginal cost pricing was introduced. And this is what we now call wholesale electricity markets 101. Most of the liberalized electricity markets are now moving or have moved already towards this pricing, _____ _____, and it 2 takes a little bit of time to understand this. So I want to make this very clear, at the start of this webinar, because otherwise you don't have any chance to understand the merit order effect. So how does it work in a wholesale electricity market today? So you have buyers of electricity, and you have sellers of electricity. So the buyers of electricity are people like you and me who want to consume electricity at their home. Of course, I'm not bidding anything on the electricity market, but my supplier is doing that for me. So my supply company is going to the electricity market and indicating how much electricity is going to be needed, and what price they're willing to pay for that. Normally, this happens in day-ahead markets—that means for instance if it's noon, today, I'll have to submit my bids for the following day for each and every hour of each and every half hour of the following day, where I say I need this amount of electricity, and I'm willing to pay for that this amount of money. And this is an aggregated—and by aggregating it you get an aggregated demand curve. Then you have the sellers of electricity. That is the power producers. And they are supposed to bid, to also submit bids on these competitive markets where they say okay, tomorrow from 2:00 to 3:00 in the afternoon, I have this amount of electricity to sell, and I want to get this price for this. And they are theoretically always offering their marginal costs. And this is now very important to understand—the marginal cost really just means the fuel cost that they have, or, to put it in a more theoretical framing, it means the cost that each power producer has for producing an additional unit of electricity. And producing an additional unit of electricity for gas-fired power producers, does not mean how much did I pay for my gas-fired power plant, it only means how much gas do I actually need to operate my power plant an additional hour, and how much money do I need for that? So these marginal costs are then offered by each bidder, and then they are also stacked up in a supply curve. As you probably know, the marginal cost of different power plants differ from one _____ technology to the next. But I will show you this in more detail in the next couple of slides. Now, what is very important is the last power plant that is needed to meet the demand is actually setting the market price. So it's not that every power producer gets the price they offer. It is actually only the very last power plant that is needed in order to match demand, sets the price for all other power plants. So maybe we move to the next slide, where I've visualized this for you, and where hopefully it gets a lot clearer. So let's look at this again. We have here already the aggregated demand curve. As you can see here, the power consumers have said I don't really care about the price of the electricity. This is why this red line is straight, and is not—doesn't have an angle to it, as you can see in some of the following slides. Meaning that I really need this electricity, and I don't care what it costs, five cents per kilowatt hour, 50 cents per kilowatt hour, I really need it, and I'm willing to pay any price for this.
Load more

Recommended publications
  • Bioenergy's Role in Balancing the Electricity Grid and Providing Storage Options – an EU Perspective
    Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Front cover information panel IEA Bioenergy: Task 41P6: 2017: 01 Bioenergy's role in balancing the electricity grid and providing storage options – an EU perspective Antti Arasto, David Chiaramonti, Juha Kiviluoma, Eric van den Heuvel, Lars Waldheim, Kyriakos Maniatis, Kai Sipilä Copyright © 2017 IEA Bioenergy. All rights Reserved Published by IEA Bioenergy IEA Bioenergy, also known as the Technology Collaboration Programme (TCP) for a Programme of Research, Development and Demonstration on Bioenergy, functions within a Framework created by the International Energy Agency (IEA). Views, findings and publications of IEA Bioenergy do not necessarily represent the views or policies of the IEA Secretariat or of its individual Member countries. Foreword The global energy supply system is currently in transition from one that relies on polluting and depleting inputs to a system that relies on non-polluting and non-depleting inputs that are dominantly abundant and intermittent. Optimising the stability and cost-effectiveness of such a future system requires seamless integration and control of various energy inputs. The role of energy supply management is therefore expected to increase in the future to ensure that customers will continue to receive the desired quality of energy at the required time. The COP21 Paris Agreement gives momentum to renewables. The IPCC has reported that with current GHG emissions it will take 5 years before the carbon budget is used for +1,5C and 20 years for +2C. The IEA has recently published the Medium- Term Renewable Energy Market Report 2016, launched on 25.10.2016 in Singapore.
    [Show full text]
  • The Value of Economic Dispatch a Report to Congress Pursuant To
    THE VALUE OF ECONOMIC DISPATCH A REPORT TO CONGRESS PURSUANT TO SECTION 1234 OF THE ENERGY POLICY ACT OF 2005 Prepared by United States Department of Energy November 7, 2005 ii THE VALUE OF ECONOMIC DISPATCH A REPORT TO CONGRESS PURSUANT TO SECTION 1234 OF THE ENERGY POLICY ACT OF 2005 Prepared by United States Department of Energy November 7, 2005 iii iv TABLE OF CONTENTS Table of Contents i List of Acronyms iii Section 1 -- Introduction and Summary 1 Industry Changes 1 Study Method and Overview 2 Summary of Findings 3 Section 2 -- Economic Dispatch 9 What is Economic Dispatch? 9 “Economic” Dispatch vs. “Efficient” Dispatch 11 Security-Constrained Unit Commitment 12 Grid Conditions that Constrain Economic Dispatch 13 Resource Considerations that Constrain Economic Dispatch 14 Security-Constrained Economic Dispatch 15 Current Practices in Building the Economic Dispatch Resource Stack 16 Figure 1 – Building the Economic Dispatch Stack 17 What’s Left for Economic Merit Order Dispatch? 19 Current Practices for Optimizing Dispatch 20 Variations in Economic Dispatch Practices 22 Figure 2 – Map of ISOs and RTOs 26 How Large Should a Dispatch Area Be? 27 Economic Dispatch and Reliability 29 Section 3 – The Benefits of Economic Dispatch 31 Congressional Intent and Study Definitions 31 Overview of Prior Studies and Other Materials Reviewed 32 Review of RTO Studies 33 Review of IPP Studies 34 Findings from Review of Prior Studies and Submitted Materials 36 Table 1 – Studies and Documents Reviewed to Assess Benefits of Economic Dispatch 38 Table 2 – Summary of Economic Dispatch Benefits from RTO Studies 40 Table 3 – Summary of Economic Dispatch Benefits from IPP Studies 42 Section 4 – Which Resources Get Into the Economic Dispatch Stack? 43 Conditions That Could Exclude a Resource from the Dispatch Stack 45 i v Section 5 – Proposed Modifications to Economic Dispatch and Suggestions for Future Work 49 Proposals for Modifying Economic Dispatch 49 Recommendations for Future Work 51 References 54 Appendix A – U.S.
    [Show full text]
  • Plug-In Electric Vehicles Automated Charging Control
    A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Dallinger, David; Kohrs, Robert; Mierau, Michael; Marwitz, Simon; Wesche, Julius Working Paper Plug-in electric vehicles automated charging control Working Paper Sustainability and Innovation, No. S4/2015 Provided in Cooperation with: Fraunhofer Institute for Systems and Innovation Research ISI Suggested Citation: Dallinger, David; Kohrs, Robert; Mierau, Michael; Marwitz, Simon; Wesche, Julius (2015) : Plug-in electric vehicles automated charging control, Working Paper Sustainability and Innovation, No. S4/2015, Fraunhofer-Institut für System- und Innovationsforschung ISI, Karlsruhe, http://nbn-resolving.de/urn:nbn:de:0011-n-3279201 This Version is available at: http://hdl.handle.net/10419/107069 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence.
    [Show full text]
  • Revisiting the Merit-Order Effect of Renewable Energy Sources
    Revisiting the Merit-Order Effect of Renewable Energy Sources Marcus Hildmann, Andreas Ulbig and Goran¨ Andersson Abstract An on-going debate in the energy economics and power market community has raised the question if energy- only power markets are increasingly failing due to growing feed-in shares from subsidized renewable energy sources (RES). The short answer to this is: No, they are not failing. Energy-based power markets are, however, facing several market distortions, namely from the gap between the electricity volume traded at day-ahead markets versus the overall electricity consumption as well as the (wrong) regulatory assumption that variable RES generation, i.e., wind and photovoltaic (PV), truly have zero marginal operation costs. In this paper we show that both effects over-amplify the well-known merit-order effect of RES power feed-in beyond a level that is explainable by underlying physical realities, i.e., thermal power plants being willing to accept negative electricity prices to be able to stay online due to considerations of wear & tear and start-stop constraints. We analyze the impacts of wind and PV power feed-in on the day-ahead market for a region that is already today experiencing significant feed-in tariff (FIT)-subsidized RES power feed-in, the EPEX German- Austrian market zone (≈ 20% FIT share). Our analysis shows that, if the necessary regulatory adaptations are taken, i.e., increasing the day-ahead market’s share of overall load demand and using the true marginal costs of RES units in the merit-order, energy- based power markets can remain functional despite high RES power feed-in.
    [Show full text]
  • Merit Order of Energy Storage by 2030 – Executive Summary
    Merit Order of Energy Storage by 2030 – Executive Summary Merit Order of Energy Storage by 2030 – Executive Summary Aim and approach The study “Merit Order of Energy Storage by 2030” aimed at the analysis and systematical assessment of measures for flexibilisation via functional energy storage. Therefore, power to heat, flexibilisation of load in industrial and private household applications, electromobility, stationary battery storage, pumped hydro storage as well as power2gas were investigated. In the context of the study, the term “Merit Order” is understood as a comparative ranking of different storage technologies. This ranking of storage technologies is done with respect to their added value from a system as well as business perspective by means of storage expansion. For this purpose, an innovative approach was used: multiobjective technology rankings were combined with a spatially and highly time resolved energy system analysis. For Germany and Austria a linearized unit commitment model was used to perform hourly resolved simulations on the transmission system level. Exchange within Europe was considered with a country specific resolution. Every weather dependent input data was modeled with meteorological data from the year 2012. Renewable energy capacities in Germany were taken from the grid development plan 2015 which results in 60 GW photovoltaic, 76 GW onshore- and 14 GW offshore-wind power for 2030. In contrast to the grid development plan, technological advances of onshore wind power turbines are taken into account, which leads to full load hours of newly installed units of 3000 instead of 2000. Hereby, the capacity-directed expansion corridor results in a renewable energy share of up to 75 % in electrical supply by 2030 which is significantly more than stated in the coalition contract of the federal government of Germany (55 % by 2035).
    [Show full text]
  • The Integration of Renewable Energy Sources and Electric Vehicles Into
    Šare et al. Energy, Sustainability and Society (2015) 5:27 DOI 10.1186/s13705-015-0055-7 SHORT COMMUNICATION Open Access The integration of renewable energy sources and electric vehicles into the power system of the Dubrovnik region Anamarija Šare2*, Goran Krajačić1, Tomislav Pukšec1 and Neven Duić1 Abstract Background: In order to reduce greenhouse gas emissions, governments seek to replace conventional fuels by renewable ones. Nowadays, most attention is paid to electric vehicles in the transport systems and the use of renewable energy in the power systems. The aim of this work is to achieve a 100 % renewable and sustainable system and to examine the impact of electrification in the transport sector on the power curve and the integration of renewable energy into the power systems of the Dubrovnik region up to 2050. Methods: The analyses of different charging regulation models for the electric vehicles were derived in the EnergyPLAN, which is a computer model for Energy Systems Analysis of the major energy systems and runs on an hourly basis. Calculations were done for selected years—2020, 2030 and 2050. Charging models provided in the EnergyPLAN were dumb charge, flexible demand, smart charge and smart charge with vehicle-to-grid. For each year, two different charging models were selected. Charging regulations according to three tariff models, based on a lower and higher electricity price, with different distributions, were also done for 2050, i.e. tariff model 1, 2 and 3. Results: The results for the year 2020 showed no difference between the models. In 2030, smart charge gained better results than a flexible demand.
    [Show full text]
  • Strategies for Plug-In Electric Vehicle-To-Grid (V2G) and Photovoltaics (PV) for Peak Demand Reduction in Urban Regions in a Smart Grid Environment
    Chapter 7 Strategies for Plug-in Electric Vehicle-to-Grid (V2G) and Photovoltaics (PV) for Peak Demand Reduction in Urban Regions in a Smart Grid Environment Ricardo Rüther, Luiz Carlos Pereira Junior, Alice Helena Bittencourt, Lukas Drude and Isis Portolan dos Santos Abstract The strategy of using Plug-in Electric Vehicles (PEVs) for vehicle-to- grid (V2G) energy transfer in a smart grid environment can offer grid support to distribution utilities, and opens a new revenue opportunity for PEV owners. V2G has the potential of reducing grid operation costs in demand-constrained urban feeders where peak-electricity prices are high. Photovoltaic (PV) solar energy con- version can also assist urban distribution grids in shaving energy demand peaks when and where there is a good match between the solar irradiation resource availability and electricity demands. This is particularly relevant in urban areas, where air-conditioning is the predominant load, and on-site generation a wel- come resource. Building-integrated photovoltaics (BIPV) plus short-term storage can offer additional grid support in the early evening, when solar irradiation is no longer available, but loads peak. When PEVs become a widespread technology, they will represent new electrical energy demands for generation, transmission and R. Rüther () · L.C.P. Junior · A.H. Bittencourt Grupo de Pesquisa Estratégica em Energia Solar, Universidade Federal de Santa Catarina, Caixa Postal 476, Florianópolis, SC 88040-900, Brazil e-mail: [email protected] L.C.P. Junior e-mail: [email protected] A.H. Bittencourt e-mail: [email protected] L. Drude Universität Paderborn, Warburger Straße 100, 33098 Paderborn, Germany e-mail: [email protected] I.P.
    [Show full text]
  • Hydropower Plants As Black Start Resources
    Hydropower Plants as Black Start Resources May 2019 Jose R. Gracia Patrick W. O’Connor Lawrence C. Markel Rui Shan D. Thomas Rizy Alfonso Tarditi ORNL/SPR-2018/1077 Approved for public release. Distribution is unlimited. Acknowledgments This work was authored by Oak Ridge National Laboratory, managed by UT-Battelle for the US Department of Energy, under contract DE-AC05-00OR22725 and supported by the HydroWIRES Initiative of the Energy Department’s Water Power Technologies Office (WPTO), under contract number DE-AC05-00OR22725. The authors would like to thank Stephen Signore of Oak Ridge National Laboratory for his help in determining the makeup of current black start units in the United States. Additional thanks go to Alejandro Moreno, Samuel Bockenhauer, and Rebecca O’Neil for their thoughtful comments on drafts of the white paper. HydroWIRES The US electricity system is changing rapidly with the large-scale addition of variable renewables, and the flexible capabilities of hydropower (including pumped storage hydropower) make it well-positioned to aid in integrating these variable resources while supporting grid reliability and resilience. Recognizing these challenges and opportunities, WPTO has launched a new initiative known as HydroWIRES: Water Innovation for a Resilient Electricity System. HydroWIRES is principally focused on understanding and supporting the changing role of hydropower in the evolving US electricity system. Through the HydroWIRES initiative, WPTO seeks to understand and drive utilization of the full potential of hydropower resources to contribute to electricity system reliability and resilience, now and into the future. HydroWIRES is distinguished in its close engagement with the US Department of Energy (DOE) national laboratories.
    [Show full text]
  • Modeling of Electrical Grid Systems to Evaluate Sustainable Electricity Generation in Pakistan
    University of Massachusetts Amherst ScholarWorks@UMass Amherst Masters Theses Dissertations and Theses July 2020 Modeling of Electrical Grid Systems to Evaluate Sustainable Electricity Generation in Pakistan Muhammad Mustafa Amjad University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/masters_theses_2 Part of the Energy Systems Commons, Environmental Engineering Commons, Industrial Engineering Commons, and the Operational Research Commons Recommended Citation Amjad, Muhammad Mustafa, "Modeling of Electrical Grid Systems to Evaluate Sustainable Electricity Generation in Pakistan" (2020). Masters Theses. 908. https://doi.org/10.7275/y0n6-ct83 https://scholarworks.umass.edu/masters_theses_2/908 This Open Access Thesis is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Masters Theses by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. MODELING OF ELECTRICAL GRID SYSTEMS TO EVALUATE SUSTAINABLE ELECTRICITY GENERATION IN PAKISTAN A Thesis Presented by MUHAMMAD MUSTAFA AMJAD Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN MECHANICAL ENGINEERING May 2020 Mechanical Engineering © Copyright by Muhammad Mustafa Amjad 2020 All Rights Reserved MODELING OF ELECTRICAL GRID SYSTEMS TO EVALUATE SUSTAINABLE ELECTRICITY GENERATION
    [Show full text]
  • Electrofuels from Excess Renewable Electricity at High Variable
    Sustainable Energy & Fuels View Article Online PAPER View Journal | View Issue Electrofuels from excess renewable electricity at high variable renewable shares: cost, greenhouse Cite this: Sustainable Energy Fuels, 2021, 5,828 gas abatement, carbon use and competition† Markus Millinger, *a Philip Tafarte, bc Matthias Jordan,ade Alena Hahn,de e ade Kathleen Meisel and Daniela Thran¨ Increasing shares of variable renewable electricity (VRE) generation are necessary for achieving high renewable shares in all energy sectors. This results in increased excess renewable electricity (ERE) at times when supply exceeds demand. ERE can be utilized as a low-emission energy source for sector coupling through hydrogen production via electrolysis, which can be used directly or combined with a carbon source to produce electrofuels. Such fuels are crucial for the transport sector, where renewable alternatives are scarce. However, while ERE increases with raising VRE shares, carbon emissions decrease and may become a limited resource with several usage options, including carbon Creative Commons Attribution 3.0 Unported Licence. storage (CCS). Here we perform a model based analysis for the German case until 2050, with a general analysis for regions with a high VRE reliance. Results indicate that ERE-based electrofuels could achieve a greenhouse gas (GHG) abatement of 74 MtCO2eq yearly (46% of current German transport emissions) by displacing fossil fuels, at high fuel-cell electric vehicle (FCEV) shares, at a cost of 250–320 V per tCO2eq. The capital expenditure of electrolysers was found not to be crucial for the cost, despite low capacity factors due to variable ERE patterns. Carbon will likely become a limiting factor when aiming for stringent climate targets and renewable electricity-based hydrocarbon electrofuels replacing fossil fuels Received 17th July 2020 achieve up to 70% more GHG abatement than CCS.
    [Show full text]
  • The Merit Order of Demand Response in Industry
    ENERDAY - 9TH Conference on energy economics and technology, Dresden/Germany The Merit Order of Demand Response in Industry Anna Gruber1, Franziska Biedermann1, Serafin von Roon1 1Forschungsgesellschaft für Energiewirtschaft mbH, Am Blütenanger 71, D-80995 München, +49 89 158 121-62, [email protected], www.ffegmbh.de Abstract: In previous studies the potential for Demand Response of cross-sectional technologies as well as electricity-intensive processes were analyzed. Two types of load flexibilization were considered: load shedding and load shifting. Furthermore, first calculations of the cost for DR with cross-sectional technologies were conducted, whereas a calculation for the electricity- intensive process is still missing. This paper deals with a new method for determining the opportunity costs of Demand Response across sectors. On the basis of the cost structure of a company as well as the electricity price the opportunity costs for the electricity-intensive industry is calculated. All results are summarized in an overall Merit Order curve for Demand Response. Keywords: Demand Side Management, Demand Response, flexibilization of load, electricity-intensive processes, cross-sectional technologies, cost analysis; Merit Order 1 Introduction The structure of the European energy economy is changing. Due to the 20-20-20-goals of the European Union both energy supply and demand need to be restructured. Until 2020 the European Union committed the following targets: the reduction of greenhouse gases by 20 % compared to 1990 the share of renewable energies of total energy consumption shall be 20 % an increase of energy efficiency by 20 % The ambitious objectives of the German ”Energiewende” can be achieved by different measures, such as grid expansion or installation of storages.
    [Show full text]
  • 1 Orissa Electricity Regulatory
    ORISSA ELECTRICITY REGULATORY COMMISSION BIDYUT NIYAMAK BHAWAN UNIT-VIII, BHUBANESWAR - 751 012 ************ Present : Shri B. K. Das, Chairperson Shri K.C. Badu, Member Shri B.K. Misra, Member Case No.151/2010 M/s Shalivahana Green Energy Ltd. …. Petitioner Vrs. GRIDCO & Another ….. Respondents Case No.152/2010 M/s Andhavarapu Power Projects Pvt. Ltd. …. Petitioner Vrs. GRIDCO & Anothers ….. Respondents Case No.153/2010 M/s Prasad Bio-Energy Pvt. Ltd. …. Petitioner Vrs. GRIDCO & Another ….. Respondents Case No.154/2010 M/s Rashmee Power Pvt. Ltd. …. Petitioner Vrs. GRIDCO & Another ….. Respondents Case No.155/2010 M/s AVN Power Projects Pvt. Ltd. … Petitioner Vrs. GRIDCO & another ….. Respondents In the matter of: For review of order dtd. 18.09.2010 passed in Case No.115/2010 regarding determination of tariff of biomass power plant for sale of power to GRIDCO along with review of order dtd. 14.09.2010 passed in Case No. 37/2008. For the Petitioners : Shri R P Mohapatra for M/s Shalivahana Green Energy Ltd., Shri Bibhu Swain for M/s Prasad Bio-Energy Pvt. Ltd. and M/s Andhavarapu Power Projects Pvt. Ltd. and M/s AVN Power Projects Pvt. Ltd. Shri M K Tripathy for M/s Rashmee Power Pvt. Ltd. For the Respondents : Shri P C Sahoo on behalf of GRIDCO, Shri A K Choudhury, Deputy Director, OREDA 1 Date of Hearing: 15.09.2011 Date of Order: 23.09.2011 ORDER 1. This petition is filed by the above five petitioners, biomass energy developers in the state of Orissa for review of the order of the Commission dtd.18.09.2010 in Case No.15/2010 regarding determination of tariff for sale of power to GRIDCO from the proposed biomass power plants along with review of order dtd.14.09.2010 in case No.37 of 2008 regarding finalization of policy on harnessing of power from Renewable Energy Sources including co-generation under Section 70 of the OERC (Conduct of Business) Regulations, 2004.
    [Show full text]