Relevant bibliographies by topics / Electricity pricing mode

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Electricity pricing mode'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Electricity pricing mode"

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Guo, Zishan, Zhenya Ji, and Qi Wang. "Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode." Energies 13, no. 19 (2020): 5213. http://dx.doi.org/10.3390/en13195213.

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Demand response (DR) can offer a wide range of advantages for electrical systems by facilitating the interaction and balance between supply and demand. However, DR always requires a central agent, giving rise to issues of security and trust. Besides this, differences in user response cost characteristics are not taken into consideration during incentive pricing, which would affect the equal participation of users in DR and increase the costs borne by the electricity retail company. In this paper, a blockchain-enabled DR scheme with an individualized incentive pricing mode is proposed. First, a
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Zhang, Sen Lin, Yan Ming Sun, Zhao Xia Jing, and Zheng Xin He. "Research on Transfer and Replacement Mechanism Design of Inter-Provincial Electricity Treatment in South China Electricity Market." Applied Mechanics and Materials 494-495 (February 2014): 1695–701. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1695.

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In the context of south china electricity market, the concept of contract transfer and replacement deal is set forth in advance which is specialized in electricity treatment. Then, the feasibility of conducting an inter-provincial contract transfer and replacement is analyzed according to the aspects of physical characteristics, economics and policies within the china southern power grid. In addition, the advantage and disadvantage are also presented in terms of bilateral negotiation and centralized biding transaction modes. After that, the pricing mechanism and transaction mode are deliberate
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Zhang, Xuejun. "Research on the Control Method of Short-term Transmission and Distribution Price Level." Journal of Physics: Conference Series 2029, no. 1 (2021): 012002. http://dx.doi.org/10.1088/1742-6596/2029/1/012002.

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Abstract In order to ensure the orderly competition in the power market, through a variety of measures to reduce the electricity cost of enterprises and users, and improve the service quality of power enterprises, this paper puts forward the research on the control method of the total level of short-term transmission and distribution price. Combined with the principle of “three sets and five big”, the power grid marketing system is established, the main responsibilities of customer service center are assigned, and the main factors affecting pricing are extracted by bird swarm algorithm. Combin
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Baig, Altamash Ahmad, and Alan S. Fung. "Impact of Carbon Pricing on Energy Cost Savings Resulting from Installation of Gas-Fired Absorption Heat Pump at A Library Building in Ontario." Proceedings 23, no. 1 (2019): 2. http://dx.doi.org/10.3390/proceedings2019023002.

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This paper presents the results of analyzing the potential benefits of a natural gas-fired absorption heat pump (GAHP) for a library building in Ontario in terms of energy savings, fuel cost savings, and reduction in greenhouse gas emissions. Simulation model for the library building was created in eQUEST and calibrated using the energy consumption data from the 2012–2014. The results for energy savings were analyzed to include the effect of implementation of carbon pricing. It was concluded that because of implementation of carbon pricing, the replacement of conventional heating equipment wit
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Lee, Eunji, and Hyokyung Bahn. "Electricity Usage Scheduling in Smart Building Environments Using Smart Devices." Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/468097.

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With the recent advances in smart grid technologies as well as the increasing dissemination of smart meters, the electricity usage of every moment can be detected in modern smart building environments. Thus, the utility company adopts different price of electricity at each time slot considering the peak time. This paper presents a new electricity usage scheduling algorithm for smart buildings that adopts real-time pricing of electricity. The proposed algorithm detects the change of electricity prices by making use of a smart device and changes the power mode of each electric device dynamically
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Kahawala, Sachin, Daswin De Silva, Seppo Sierla, et al. "Robust Multi-Step Predictor for Electricity Markets with Real-Time Pricing." Energies 14, no. 14 (2021): 4378. http://dx.doi.org/10.3390/en14144378.

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Real-time electricity pricing mechanisms are emerging as a key component of the smart grid. However, prior work has not fully addressed the challenges of multi-step prediction (Predicting multiple time steps into the future) that is accurate, robust and real-time. This paper proposes a novel Artificial Intelligence-based approach, Robust Intelligent Price Prediction in Real-time (RIPPR), that overcomes these challenges. RIPPR utilizes Variational Mode Decomposition (VMD) to transform the spot price data stream into sub-series that are optimized for robustness using the Particle Swarm Optimizat
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Xie, Jiaping, Lihong Wei, Weisi Zhang, Yu Xia, and Jing Li. "A Responsive Pricing Grid Operator Sourcing from Competing Generators under Uncertain Supply and Demand." Sustainability 11, no. 15 (2019): 4061. http://dx.doi.org/10.3390/su11154061.

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Electricity supply chains involve more sources of uncertainty than typical production and manufacturing supply chains, owing to the intermittent nature of renewable energy generation. Therefore, it is critical but challenging to mitigate supply disruption risks by improving management methods. The extant literature has mainly investigated the sourcing strategies of manufacturers with price-taking suppliers. Where there is an option to source from multiple generators, including regular but unreliable generators and reliable backup generators, a flexible sourcing strategy is usually regarded as
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Khan, Taimoor Ahmad, Kalim Ullah, Ghulam Hafeez, et al. "Closed-Loop Elastic Demand Control under Dynamic Pricing Program in Smart Microgrid Using Super Twisting Sliding Mode Controller." Sensors 20, no. 16 (2020): 4376. http://dx.doi.org/10.3390/s20164376.

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Electricity demand is rising due to industrialisation, population growth and economic development. To meet this rising electricity demand, towns are renovated by smart cities, where the internet of things enabled devices, communication technologies, dynamic pricing servers and renewable energy sources are integrated. Internet of things (IoT) refers to scenarios where network connectivity and computing capability is extended to objects, sensors and other items not normally considered computers. IoT allows these devices to generate, exchange and consume data without or with minimum human interve
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Tan, Li Juan, Cai Hong Zhao, Mai Zhang, Li Liu, Han Yi Li, and Xiao Chen. "Charging and Discharging Control Strategy of Electric Vehicles Based on V2G Mode." Advanced Materials Research 953-954 (June 2014): 1413–17. http://dx.doi.org/10.4028/www.scientific.net/amr.953-954.1413.

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With the popularity of electric vehicles, the impact of charging power on the original grid load is increasingly prominent. Electric vehicles can realize the benign interaction with power grid through the V2G technology. The mathematical model is solved with genetic algorithm in this paper based on the objective function as the minimization of daily charging cost. Constraint conditions such as maximum charge and discharge power limits and state of charge are considered. By analyzing the charge and discharge control of single car and the influence of electric vehicles’ charge and discharge on p
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Jabbar, Muhammad Alif Miraj, Dat Thanh Tran, and Kyeong-Hwa Kim. "Distributed Secondary Control of DC Microgrid with Power Management Based on Time-of-Use Pricing and Internal Price Rate." Sustainability 16, no. 19 (2024): 8705. http://dx.doi.org/10.3390/su16198705.

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This paper presents a novel approach to manage distributed DC microgrids (DCMG) by integrating a time-of-use (ToU) electricity pricing scheme and an internal price rate calculation mechanism. The proposed power-management system is designed to effectively handle uncertainties such as utility grid (UG) availability, fluctuating electricity prices, battery state of charge (SOC) levels, and frequent plug-ins and plug-outs of electric vehicles (EVs). Uncertainties in DCMG systems often lead to inefficiencies, power imbalances, and inexact voltage regulation issues within DCMGs. In addition, to mai
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Dissertations / Theses on the topic "Electricity pricing mode"

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Галинська, Юлія Вікторівна, Юлия Викторовна Галинская, Yuliia Viktorivna Halynska, Тетяна Вікторівна Бондар, Татьяна Викторовна Бондарь, and Tetiana Viktorivna Bondar. "Combined electricity pricing model taking into account the “green tariff” and traditional factors." Thesis, EDP Sciences - Web of Conferences, 2021. https://essuir.sumdu.edu.ua/handle/123456789/86319.

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https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00019.pdf<br>У статті запропоновано нову оптимізаційну модель системних взаємозв’язків та ефектів при формуванні цінової політики на електроенергію з комбінованих джерел електроенергії з урахуванням показників антропогенного впливу та невідновлюваних ресурсів, соціально-екологічних та економічних інтересів суспільства в умовах розподілу рентного доходу. Модель у кінцевому результаті передбачає формування комбінованої моделі тарифоутворення в енергетиці, згідно з якою тарифи на електроенергію для кінцевого споживача
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Alsaedi, Yasir H. "An Investigation of the Effects of Solar and Wind Prices on the Australia Electricity Spot and Options Markets: A Time Series Analysis." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/410472.

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Electricity pricing is recognised as being among the most important contemporary policy issues in Australia, and it also represents a critical component of current discussions concerning energy and climate-change policies. Attempts to move forward with energy and climate-change policies have been mostly stymied by concerns regarding potential increases in electricity prices. In relation to such policy discussions, renewable electricity generation is currently considered to be a fundamental factor influencing electricity prices. Due to the increasing penetration of both wind and solar power gen
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Lu, Yuhao. "Pricing and competition in the Swedish retail market for electricity." Thesis, Högskolan Dalarna, Nationalekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:du-19869.

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Sweden, together with Norway, Finland and Denmark, have created a multi-national electricity market called NordPool. In this market, producers and retailers of electricity can buy and sell electricity, and the retailers then offers this electricity to end consumers such as households and industries. Previous studies have shown that pricing at the NordPool market is functioning quite well, but no other study has to my knowledge studied if pricing in the retail market to consumers in Sweden is well functioning. If the market is well functioning, with competition and low transaction costs when ch
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Li, Xibao. "Learning From the Implementation of Residential Optional Time of Use Pricing in the U.S. Electricity Industry." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1047271855.

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McKenna, Eoghan. "Demand response of domestic consumers to dynamic electricity pricing in low-carbon power systems." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12120.

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The ability for domestic consumers to provide demand response to dynamic electricity pricing will become increasingly valuable for integrating the high penetrations of renewables that are expected to be connected to electricity networks in the future. The aim of this thesis is to investigate whether domestic consumers will be willing and able to provide demand response in such low-carbon futures. A broad approach is presented in this thesis, with research contributions on subjects including data privacy, behavioural economics, and battery modelling. The principle argument of the thesis is that
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Xu, Li. "Financial and computational models in electricity markets." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51849.

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This dissertation is dedicated to study the design and utilization of financial contracts and pricing mechanisms for managing the demand/price risks in electricity markets and the price risks in carbon emission markets from different perspectives. We address the issues pertaining to the efficient computational algorithms for pricing complex financial options which include many structured energy financial contracts and the design of economic mechanisms for managing the risks associated with increasing penetration of renewable energy resources and with trading emission allowance permits in the r
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CALDANA, RUGGERO. "Spread and basket option pricing: an application to interconnected power markets." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/39422.

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An interconnector is an asset that gives the owner the right, but not the obligation, to transmit electricity between two locations each hour of the day over a prefixed time period. The financial value of the interconnector is given by a series of options that are written on the price differential between two electricity markets, that is, a strip of European options on an hourly spread. Since the hourly forward price is not directly observable on the market, Chapter 1 proposes a practical procedure to build an hourly forward price curve, fitting both base load and peak load forward quotations.
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Folkesson, Emil, and Carl Jarnegren. "Spotpriset på El : Kan dess förändringar förklaras av funda-mentala faktorer?" Thesis, Jönköping University, JIBS, Accounting and Finance, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-926.

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<p>Denna uppsats undersöker vilka faktorer som påverkar förändringar i elspotpriset på Nord Pool. Avsikten är att resultatet skall ligga till grund för en prisuppskattningsmodell för Lunds Energikoncernen AB. Faktorerna bestämdes genom en förstudie där viktig litteratur om elmarknaden studerades samt samtal med Lunds Energikoncernen AB. De faktorer som undersöks i denna uppsats är priset på utsläppsrätter, nettoexport till Tysk-land, temperatur, nederbörd, priset på kol och villaolja samt konjunkturutveckling i Sve-rige.</p><p>Undersökningen av faktorerna bestod av en multipel regressionsanaly
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Kao, Min-chun, and 高敏淳. "Pricing Electricity Option under a Mean Reversion Lévy Model." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/97724802095606077362.

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碩士<br>國立中央大學<br>財務金融研究所<br>99<br>In the past, the electricity market was controlled by the government so there was no price risk. Recently, governments have taken open policies. More and more private firms entered the market and consumers also could purchase power freely. Compared with other commodities, the price of electricity is determined by supply and demand at each point of time due to non-storability of electricity. If electricity demand rises or power production drops suddenly would cause the price to jump. The power producers and consumers face great risk because of high volatility of
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Chen, Chia-Ming, and 陳嘉明. "A Study of Decision Model For Electricity Pricing Promotion in Electric Vehicle Charging Station." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/60108832673617097772.

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碩士<br>輔仁大學<br>資訊管理學系碩士在職專班<br>105<br>Since many transnational famous automobile factories have invested in electric vehicles and charging equipment of innovation research and applications for a long time, recently, such efforts and important breakthroughs incur a lot of vigorous development in the Industry of Electric Car. People also agree with the electric car to bring the environmental energy efficiency, with the gradual popularization of electric vehicles, such that general charge techniques had been unable to cope with a large volume of charging needs in the home or the company place. Und
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Books on the topic "Electricity pricing mode"

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Kent, Shaun. A model and investigation of pricing policy in the wholesale electricity market when there is threat of regulation. typescript, 1993.

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Olawuyi, Damilola S. Advancing Innovations in Renewable Energy Technologies as Alternatives to Fossil Fuel Use in the Middle East. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822080.003.0020.

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Despite increasing political emphasis across the Middle East on the need to transition to lower carbon, efficient, and environmentally responsible energy systems and economies, legal innovations required to drive such transitions have not been given detailed analysis and consideration. This chapter develops a profile of law and governance innovations required to integrate and balance electricity generated from renewable energy sources (RES-E) with extant electricity grid structures in the Middle East, especially Gulf countries. It discusses the absence of renewable energy laws, the lack of leg
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Book chapters on the topic "Electricity pricing mode"

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Kellerhals, B. Philipp. "Electricity Pricing Model." In Springer Finance. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24697-8_15.

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Kellerhals, B. Philipp. "Electricity Pricing Model." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-21901-0_18.

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Asimakopoulou, Georgia E., Andreas G. Vlachos, and Nikos D. Hatziargyriou. "Bilevel Model for Retail Electricity Pricing." In Operations Research Proceedings. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42902-1_91.

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Fanone, Enzo. "Modeling and Estimating Electricity Futures: A Non-Gaussian Market Model Approach." In Energy Pricing Models. Palgrave Macmillan US, 2014. http://dx.doi.org/10.1007/978-1-137-37027-3_5.

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Ring, Brendan J., and E. Grant Read. "A Dispatch Based Pricing Model for the New Zealand Electricity Market." In Electricity Transmission Pricing and Technology. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-010-0710-8_8.

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Ring, Brendan J., and E. Grant Read. "A Dispatch Based Pricing Model for the New Zealand Electricity Market." In Electricity Transmission Pricing and Technology. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1804-7_8.

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Jacob, Maria, Cláudia Neves, and Danica Vukadinović Greetham. "Introduction." In Forecasting and Assessing Risk of Individual Electricity Peaks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28669-9_1.

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Abstract Electricity demand or load forecasts inform both industrial and governmental decision making processes, from energy trading and electricity pricing to demand response and infrastructure maintenance. Electric load forecasts allow Distribution System Operators (DSOs) and policy makers to prepare for the short and long term future. For informed decisions to be made, particularly within industries that are highly regulated such as electricity trading, the factors influencing electricity demand need to be understood well. This is only becoming more urgent, as low carbon technologies (LCT)
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Littlechild, Stephen C. "Spot Pricing of Electricity: An Appraisal of the Mit Model." In Systems and Management Science by Extremal Methods. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3600-0_26.

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Yi, Bo, Yunhe Liu, and Xiao Wang. "Optimization of Ultra-High Voltage Direct Current Power Transmission Curve for High Proportion New Energy Bases." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-9184-2_30.

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AbstractWith the increase in demand for the construction of high proportion new energy base, the power transmission scale of Ultra-High Voltage Direct Current(UHVDC) is growing rapidly, and the characteristics of inter-provincial and inter-regional power transmission are affected by multiple factors, such as the randomness and volatility of new energy in the sending province, the peaks and valleys of the loads, the process of power shortages, and the new time-of use electricity pricing policy in the receiving province. Uncertainty issues are more prominent, and it has changed significantly com
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Tian, Weijian, Haifei An, Xiancong Zhao, and Hao Bai. "A Multi-objective Scheduling Model for a Gas-Steam-Electricity Coupling System in the Steelwork Based on Time-of-Use Electricity Pricing." In The Minerals, Metals & Materials Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50244-6_18.

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Conference papers on the topic "Electricity pricing mode"

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Shi, Keiian, Taiyu Gu, Ye Tian, et al. "Charging and Discharging Model of Electric Vehicles Under Time of use Electricity Pricing Mode." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804453.

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Hua, Huichun, Liang Ling, Xin Jiang, and Jiayi Sun. "Dynamic Retail Pricing Model For Electricity Retailers Considering Power Quality Demand." In 2024 21st International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2024. https://doi.org/10.1109/ichqp61174.2024.10768745.

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Mousa, Soha, and Dhabia Al-Mohannadi. "Optimizing Industrial Heat Electrification: Balancing Cost and Emissions." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.113100.

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The electrification of industrial heat is a promising pathway for decarbonization, yet challenges persist in balancing capital costs, operating costs, and emissions reduction. While previous studies have assessed electrification through heat integration and graphical methods, these approaches do not inherently determine the optimal hybrid technology configuration. This study introduces an optimization-based framework that systematically evaluates the cost-optimal allocation of electrified and conventional heating technologies. Formulated as a Mixed-Integer Linear Programming (MILP) model and i
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Hu, Haohan, Chen Qi, and Jinglin Guo. "An Electricity Pricing Oriented Memory Calculation Hybrid Application Mode." In 2015 4th National Conference on Electrical, Electronics and Computer Engineering. Atlantis Press, 2016. http://dx.doi.org/10.2991/nceece-15.2016.260.

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Wang, Yu-Liang, Yu-Hui Zhou, and Hong-Feng Gu. "A new market mode based on pricing mechanism of green power." In 2008 China International Conference on Electricity Distribution (CICED 2008). IEEE, 2008. http://dx.doi.org/10.1109/ciced.2008.5211672.

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Moura, Scott J., Hosam K. Fathy, Duncan S. Callaway, and Jeffrey L. Stein. "A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2252.

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This paper examines the problem of optimally splitting driver power demand among the different actuators (i.e., the engine and electric machines) in a plug-in hybrid electric vehicle (PHEV). Existing studies focus mostly on optimizing PHEV power management for fuel economy, subject to charge sustenance constraints, over individual drive cycles. This paper adds three original contributions to this literature. First, it uses stochastic dynamic programming to optimize PHEV power management over a distribution of drive cycles, rather than a single cycle. Second, it explicitly trades off fuel and e
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Tran, Viet T., Danny Sutanto, and Kashem M. Muttaqi. "A robust power management strategy entrenched with multi-mode control features for an integrated residential PV and energy storage system to take the advantage of time-of-use electricity pricing." In 2017 IEEE Industry Applications Society Annual Meeting. IEEE, 2017. http://dx.doi.org/10.1109/ias.2017.8101772.

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Mathieu, Johanna L., Ashok J. Gadgil, Duncan S. Callaway, Phillip N. Price, and Sila Kiliccote. "Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals From the Utility." In ASME 2010 4th International Conference on Energy Sustainability. ASMEDC, 2010. http://dx.doi.org/10.1115/es2010-90266.

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We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&amp;I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynami
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Qing-Ran Wang, Li-Zi Zhang, and Zuo-Quan Wang. "Study on independent distribution pricing model and based on an integrating pricing method." In 2008 China International Conference on Electricity Distribution (CICED 2008). IEEE, 2008. http://dx.doi.org/10.1109/ciced.2008.5211726.

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Dunbar, Samuel, and Scott Ferguson. "A Consumer Dissatisfaction Model Linking Dynamic Pricing With Shifted Product-Use in Residential Electricity Markets." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22499.

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Abstract Demand Response (DR) is the implementation of a specific strategy or set of strategies, with the goal of altering consumer energy demand, such that some system level objectives are improved. These strategies typically include dynamic pricing, direct load control, policy implementation, or other financial incentives. DR will become a crucial tool for managing growing global energy demand in conjunction with higher penetration rates of intermittent renewable energy resources. Effective implementation of a DR strategy requires a realistic understanding of how consumers will respond to th
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Reports on the topic "Electricity pricing mode"

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Navajas, Fernando. Electricity Rate Structure Design in Latin America: Where Do We Stand? Where Should We Go? Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005102.

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This paper reviews some critical issues for addressing the structure of electricity tariffs for ulterior purposes of policy research agenda. Starting from economic principles behind electricity tariff design, this paper asks what options ahead Latin America has in terms of improving electricity tariff design from a heterogeneous status quo, where trade-offs among cost recovery, cost reflectivity and affordability stand out. Options look like an avenue for improving cost recovery through better wholesale market design and regulation; move outside excess volumetric pricing and towards fixed and
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Leather, Zachary, and Jonathan Marshall. Flex appeal: How to reform electricity pricing for a cleaner and cheaper energy system. The Resolution Foundation, 2025. https://doi.org/10.63492/ccih723.

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This report examines how Britain’s electricity system must transform to achieve net zero emissions while keeping energy affordable for households. It provides a comprehensive assessment of the reforms needed to move from a demand-led electricity system to one that responds to renewable energy supply, focusing on the implications for household bills and consumer protection.
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Delgado-Téllez, Mar, Javier Quintana, and Daniel Santabárbara Daniel Santabárbara. Carbon pricing, border adjustment and renewable energy investment: a network approach. Banco de España, 2025. https://doi.org/10.53479/38923.

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An increase of €100 per tonne in the EU carbon price reduces the carbon footprint but lowers GDP due to higher energy costs and carbon leakage. Using a dynamic multi-sector, multi-country model augmented with an energy block that includes endogenous renewable energy investment, we analyze the macroeconomic and emissions effects of a carbon price. Investment in renewable energy mitigates electricity price increases in the medium term, leading to a smaller GDP loss (up to -0.4%) and a larger emissions reduction (24%) in the EU. Neglecting renewable energy investment overestimates the negative ec
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Model documentation: Electricity market module, electricity finance and pricing submodule. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10140855.

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