Power Purchase Agreements and their use in the Nordics

Power purchase agreements aim to secure long-term contracts between sellers and buyers, particularly in renewable energy transactions. However, successful negotiations for a fixed long-term price and energy volume while ensuring maximum utility for stakeholders remains a significant challenge. This paper introduces a comprehensive model for negotiating 24/7 power purchase agreements, focusing on hourly pricing to address deficits and surpluses throughout each day of the contract timeline. The model incorporates demand flexibility through battery storage, settling on the strike price using Nash Bargaining theory and optimal management of energy consumption relative to market price fluctuations. A soft margin support vector machine classification model determines the buyer’s maximum acceptable price. Moreover, Gaussian process classification is employed to calculate a probabilistic, risk-adjusted strike price, enabling a data-driven approach to power purchase negotiations. The proposed model’s performance is demonstrated through a detailed case study of Norway, illustrating how demand flexibility can significantly lower long-term power purchase agreement contract prices. The analysis of yearly price trends indicates that incorporating flexibility resources in long-term energy contracts may lead to a reduction in strike prices by around 25%. Moreover, such flexibility enhances demand-generation matching, thereby increasing renewable energy transactions within such agreements.

Power Purchase Agreements (PPAs) enjoy great success in Europe. This is especially true of Green Corporate PPAs (GC PPAs), also known as Corporate Renewable PPAs, which are agreements under which a corporate customer agrees to purchase renewable electricity directly from the electricity producer, pursuant to the definition set forth in the 2018 Renewable Energy Directive (‘RED II’) (Directive (EU) 2018/2001 of the European Parliament and of the Council of 11 Dec. 2018 on the promotion of the use of energy from renewable sources (recast).). Nearly 14GW in PPAs were entered into in 2018 worldwide, of which 1.9GW in Europe (2017: 1GW) and approx. 8GW in the United States (2017: 2.4GW) (Europe Corporate Renewable, PPA Market Report 2018 – 2027.). Wind energy accounts for 85% of GC PPAs entered into in Europe to date, with solar energy accounting for the remaining 15%. This progress can be explained partly by an increase in energy demand worldwide, the companies’ willingness to reduce their carbon footprint and control energy costs, the need for clear and foreseeable price signals for investors and producers, but also the development of public support schemes for renewable energies (‘RE’). Power Purchase Agreement, Renewable Energy, Electricity, French Law, Energy transition, Corporate Social Responsibility

This chapter examines power purchase agreement (PPA) structuring mechanisms to address project risks that manifest across renewable energy projects in several Asian countries. Using India as a case study, the chapter identifies the extent to which the standard PPA provisions address current prominent risks in the sector. It goes on to identify how existing provisions could be modified and newer structures could be included to ensure a more bankable PPA format. One key intended takeaway from this chapter is that the process of arriving at a standardised model for a PPA must be a constantly evolving one, taking into account the concerns of all project stakeholders, project risks and solutions across jurisdictions, to bring stability to the PPA models.

To reach Carbon Peak in 2030 and Carbon Neutrality in 2060, China is developing renewable energy at a fast pace. Renewable energy enterprises will participate in the power market in an all-round way as China gradually improves its electricity market. Signing the Power Purchase Agreement (PPA) helps renewable energy companies to avoid market risk and achieve sustainable development. Therefore, a novel PPA pricing model is proposed in our research. Based on the theory of the Levelized Cost of Energy (LCOE), our model considers system operating costs in China’s dual-track electric power sector, which is both government-guided and market-oriented. First of all, key influencing factors of the PPA agreement are analyzed in view of the developments of the renewable energy and electricity markets in China. Next, the design of pricing strategies for renewable energy power plants to cope with market challenges is presented through a photovoltaic project case study. The results show that when the operating costs of the system are considered and other conditions remain unchanged, the investment payback period of the new energy power station will change from 10.8 years to 13.6 years. Furthermore, correlation degree and sensitivity coefficient (SAF) were introduced to conduct correlation analysis and sensitivity analysis of key elements that affect the pricing of the PPA. Finally, it is concluded that the utilization hours of power generation have the most significant effect on the PPA price, while the system’s operating cost is the least sensitive factor. The study expands the application of LCOE, and provides a decision-making solution for the PPA pricing of renewable energy power enterprises. It is expected to help promote power transactions by renewable energy companies.

Pricing bundled renewable energy credits using a modified LCOE for power purchase agreements

Financial instruments play a crucial role in accelerating the global shift toward renewable energy by reducing investment risks and encouraging long-term project viability. Mechanisms such as Feed-in Tariffs (FITs) and Power Purchase Agreements (PPAs) have become central to attracting private capital and ensuring stable returns in the renewable energy sector. The global transition toward decarbonisation has intensified the demand for effective, data-driven renewable energy policy design. This study aims to identify and compare international patterns in renewable energy incentives by analysing FIT and PPA lengths. Using k-means clustering on a dataset covering 67 countries and seven renewable energy sources over the period 2000–2019, the research groups countries based on the structure and strength of their incentive schemes. The results reveal eight distinct clusters reflecting different policy approaches, from high-support frameworks (e.g., Portugal) to minimal or inconsistent schemes. Some clusters prioritise long-term investment security through extended PPA durations, while others focus on targeted financial incentives for specific technologies. These findings demonstrate that cluster-based analysis provides valuable insights for benchmarking national policies and identifying transferable best practices in global renewable energy strategy

Humanity since its origins as a species has depended on energy for its existence and development. The various energy crises that have occurred have had major negative impacts on both the economic and social spheres. The current worrying world energy situation, characterized by a constant increase in demand, polluting emissions and rising prices of energy, as well as an inevitable depletion of fossil fuels, has in recent years generated a general awareness of the need to develop sustainable energy solutions. Currently, the high dependence on foreign suppliers for energy imports has put the accessibility and affordability of energy at risk, and States have had to develop numerous initiatives to protect consumers from volatile energy prices. In this framework, widespread energy production through renewable energy sources and the use of Power Purchase Agreements (PPAs) emerge as tools to achieve energy security and mitigate energy vulnerability and poverty. This research aims to contribute to this effort by making an approximation to the Cuban legal and institutional framework of PPAs. Cuba, in line with the current global energy context, is in search of energy sovereignty based on renewable energy sources. Throughout this article, it is intended to substantiate the need to regulate PPAs in the pursuit of sustainable energy development solutions. With the enactment of Decree Law 345 of 2019 for the promotion of renewable energy sources and efficient energy use and its complementary rules, the first regulatory foundations for PPAs have been laid. While the Cuban legal energy system has been making substantial progress regarding PPAs, it must still strive to be further perfected.

The materials used for the construction of a trunkline that connects an electric power plant to the main electricity transmission grid. To access the model referenced in the report, please visit https://www.netl.doe.gov/energy-analysis/details?id=51581F06-6C08-4379-8E3D-2B7EBA1B9CCD

The electricity market in the UK has been reformed over recent years resulting in the introduction of ‘Contracts for Difference’ as an option for wind producers. They can use these contracts only if at the same time they enter into other market contracts, i.e., Power Purchase Agreements or participation in the wholesale market. Most wind producers prefer the option of holding a long-term Power Purchase Agreement with another party. However, these agreements do not always offer the best terms for a wind producer due to them selling energy at lower electricity prices than those of the wholesale market spot prices. In addition, direct participation in the wholesale market can lead to high imbalance costs for the wind producers. In this paper, we propose an optimal dispatch model solved via dynamic programming optimisation to examine these two different business cases for wind operators alongside the existence (or not) of subsidised Contracts for Difference. A case study with an onshore UK wind farm and a lithium-based battery is provided. The proposed methodology was designed flexibly, so that it can be applied to different wind farm and battery configurations, as well as energy market structures. It is found that it is not always more profitable for the wind operator to hold a Power Purchase Agreement with another party than owning a battery storage unit and trading wind energy directly into the wholesale market. The discount rate of the Power Purchase Agreements, the capital cost of the wind farm and the strike price of the Contracts for Difference are critical factors affecting the profitability of both business cases. In addition, if subsidies are totally removed from both of them, then these are no longer economically justifiable, unless significant reductions are achieved in the capital costs of wind farms and battery storage units. Lastly, we show that considering only the calendar life of the battery (and not the cycle life) leads to significant underestimation of the investment costs.

Malaysia introduced Feed-in Tariff (FiT) in 2004 to incentivise renewable energy projects through the implementation of the National Renewable Energy Policy and Action Plan 2009 and the Renewable Energy Act 2011 (Act 725). Nevertheless, this FiT system failed to assist the country in increasing electricity generation from renewable sources. Later, auctions were introduced to boost the renewable shares, particularly solar photovoltaic power generation, after the quota for solar under the FiT were taken up. The tenders incorporated standard form of the contract along with a long-term Power Purchase Agreements (PPA) which induced for the lowest price for power generation and guaranteed access to the national grid. This measure is considered as an excellent instrument to expand the renewable energy sector. There has always been a question: whether abandoning FiT for auctions is a feasible choice in the interest of sustainable clean energy for sustainable development? The main objective of the present article is to investigate the implementation of auctions to support renewable energy development in Malaysia and to examine whether auctions could replace FiT. This study adopted a doctrinal and comparative approach. It concluded that competitive bidding is preferable to support mature technology and large-scale generations, while FiT should be sustained to support new technologies. The article has also identified several countries such as Germany and India, who have successfully implemented competitive bidding systems to support the aspiration to expand the renewable energy sector.

Making renewable energy competitive in India: Reducing financing costs via a government-sponsored hedging facility

FuelCell Energy signs PPAs for two large projects in Connecticut

The shift to renewable energy is at the heart of meeting worldwide climate goals and securing long-term energy security. This paper provides an in-depth overview of the integration of renewable energy sources (RES) into deregulated electricity markets with emphasis on the key roles of energy storage systems (EES), electric vehicles (EVs), and policy innovations. Since renewable energy sources like solar and wind are inherently variable, their smooth integration demands cutting-edge technologies, such as smart grids, real-time monitoring, and predictive analytics, to provide grid stability and reliability. Energy storage systems and electric vehicles have a dual function in balancing power supply-demand fluctuations and ancillary grid services support. The paper discusses market mechanisms like power purchase agreements (PPA), renewable energy auctions, and competitive bidding, which are crucial in deregulated markets for facilitating innovation and competition while ensuring energy security. In addition, an indicative financial analysis is included to show the investment feasibility of renewable projects based on parameters such as Net Present Value (NPV), Internal Rate of Return (IRR), and payback periods. These findings support the economic viability of incorporating renewables, especially when integrated with energy storage. The research also pinpoints obstacles like forecasting errors, grid congestion, and regulatory hurdles, and suggests anticipatory measures like grid modernization, dynamic pricing, and stakeholder engagement. Finally, the paper emphasizes that an integrated, technology-based, and economically viable framework for renewable energy deployment in deregulated markets is crucial to developing a sustainable, low-carbon energy future.

Preface. Acknowledgments. Figure Citations. About the Author. 1. Overview. 1.1 The Power Delivery Chain in a Vertically Integrated Utility. 1.2 The Power Delivery Chain in a Market Environment. 2. Energy, Load, and Generation Technologies. 2.1 Energy, Power, and their Measurements. 2.2 Load. 2.3 Generation Technologies. 3. The Grid. 3.1 Fundamentals: Load, Generation, and Alternating Current. 3.2 Grid Equipment. 3.3 Grid Reliability and Contingency Requirements. 3.4 Grid Confi guration. 3.5 Grid Operations. 3.6 Blackout August 14, 2003. 4. Short-Term Utility Planning. 4.1 Planning and Execution of Dispatch: Day-Ahead Planning Through Real-Time Delivery. 4.2 Day-Ahead Demand Forecasting: Load and Ancillary Service Requirements. 4.3 Least-Cost Dispatch in a Single Control Area: A Simple Model. 4.4 A Solution Using Profi t Maximization. 4.5 Least-Cost Dispatch in a Single Control Area with Operating Constraints. 4.6 Least-Cost Dispatch in a Single Node with Spinning Reserve and Regulation. 4.7 Least-Cost Dispatch in a Network. 4.8 Real Time. 5. Long-Term Utility Planning. 5.1 Project Development. 5.2 The Planning Process. 5.3 Long-Term Load Forecasting. 5.4 A Simplifi ed Look at Generation Capacity Additions. 5.5 Generation Additions and Retirements Within a Single Control Area. 5.6 Generation Additions and Retirements with Transmission to a Single Control Area. 5.7 Generation Additions and Retirements and Transmission Additions Within a Network. 5.8 Reserve Reuqirements. 6. Midterm Utility Planning. 6.1 Informational Requirements. 6.2 Formulation of the Optimization Problem. 7. A Market Environment. 7.1 Principles and Architecture. 7.2 Short-Term Market Design: Day-Ahead Scheduling Through Real-Time Delivery. 7.3 Long-Term Market Design: No Clear Solutions. 7.4 Midterm Market Design. 8. Asset Management in Short-Term Markets. 8.1 Retailers. 8.2 Power Producers. 8.3 Integrated Energy Companies. 9. Investment Analysis: Long-Term Planning in a Market Environment. 9.1 Investment Setting in Utility and Market Environments. 9.2 Project Analysis for a Merchant Plant. 9.3 Power Purchase Agreements (Long-Term Contracts). 10. Risk Management in the Midterm Markets. 10.1 Retailer Risk. 10.2 Power Producer Risk. 10.3 A Quick Risk Primer in Statistics for Risk Management. 10.4 Risk Management in Midterm Markets: Retailers. 10.5 Risk Management in Midterm Markets: Power Producers. 10.6 Risk Management in Midterm Markets: Integrated Electricity Suppliers. 11. The California Experience. 11.1 Market Fundamentals. 11.2 Short-Term Market Structure: The CALPX, CAISO, and Other Market Participants. 11.3 Fatboy, Get Shorty, Ricochet, and Death Star. 11.4 Market Contrast: PJM and California. Bibliography. Index.

In Thailand, electric supply services have all been taken over by the state and operated under state enterprises since 1968. Under a law empowering its monopoly, state utilities accumulated assets and built up their manpower to expand and operate the power system to serve the whole country. During the time of high growth in power demand in early the1990 s, the government initiated a move to privatize state electric utilities, the pace of which was firmed up after 1997, the year of the financial crash. Engagement of independent power producers (IPPs) through the use of long-term power purchase agreements (PPAs) for supply of electric power into the system operated by state electric utilities was also initiated from the mid 1990s. Total capacity of IPPs and Small Power Producers (SPPs) that sell excess power from cogeneration on to the system) rose and by the late 1990s started to create a constraint on system economic dispatch. In 1999 the National Energy Policy Council (NEPC) approved a recommendation of international consultants to transform the electric supply industry into a structure similar to the system in the United Kingdom. The transformation was proposed to precede corporatization and privatization of state electric utilities. The objectives of deregulation were to revoke the monopoly in ESI, to improve transparency in electricity pricing, to reduce debts of state enterprises, and to improve economic efficiency. Industry participants have voiced strong objection to the industry model proposed. With the change of market structure in UK to the New Electricity Trading Arrangement (NETA), the secretariat of NEPC also proposed a new structure similar to NETA. More acceptance from industry participants have been received for the new structure. However, it has been assumed that the proposed structure would bring improvement in system reliability, drawing investment into power generation in a manner that would be efficient. Tariff has also been expected to become lower because of the competition in power generation and retail trading. The authors argue that, for developing countries, issues of timely investment in new generation and delivery capacity, stable and reasonable price of electricity, reliability of power supply, fuel diversity and security, equitable access of supply and promotion of social equity are important. Maintaining a functioning ESI that meet the broad objectives of providing reliable power supply to serve social and economic development needs could be prioritized over introduction of complete competition in wholesale generation and retailing. The authors examine the present situation of the industry and propose a transitional model that would serve the broad objectives and introduce gradual competition in the industry. The proposed design would unbundle generation from transmission and retailing. It would aso eventually promote intra-regional interconnection and electricity trading.