Prospects and Limitations of the Use of Blockchain-Options for the Supply of Electricity
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The article raises the problem of integrating derivative financial instruments and decentralized networks. Within the framework of the solution of the indicated problem, the authors analyzed blockchain-option schemes. The purpose of the study is also to develop recommendations on the formation of models of blockchain-options in the electricity market. The contribution of the chapter is a proposition of a methodology, which has been developed for assessing the risks of using a platform for holding blockchain-options and then identifying the most likely risk scenarios. It was found that the expediency of options in decentralized models is mainly determined by the possibility of coordinating the interaction of market participants, rather than purely financial provisions. Moreover, the authors proved the possibility of integration in the following models: call option model, where the underlying asset is the energy platform token and put option model, where the underlying asset is the energy platform token. The most promising model was put option, which consists of the following: when the option is sold by the consumer, the supplier gets the right to supply energy in the future at a price higher than the market price, the cost of paying the premium is compensated by the release of additional tokens. This model creates the most favorable conditions for suppliers. Thus, based on the results of the study, it was possible to identify the characteristics of the most promising model of blockchain-options for the electricity market.
KeywordsBlockchain Distributed ledger technology Tokenization Electricity trading Electricity market Derivatives Options A decentralized platform for energy trading
The material was prepared based on the results of studies carried out at the expense of funds provided under the grant of the Bank Santander.
- 1.Deloitte. (2016). Blockchain applications in energy trading 2016. https://www2.deloitte.com/global/en/pages/energy-and-resources/articles/role-of-blockchain-in-the-energy-and-resources-industry.html, https://www.cs.stevens.edu/~ejk/papers/podc17a.pdf/.
- 2.PwC. (2017). Use cases for blockchain technology in energy & commodity trading, 2017. https://www.pwc.com/gx/en/industries/assets/blockchain-technology-in-energy.pdf.
- 3.EY. (2018). Overview of the electricity industry. http://ru.investinrussia.com/data/file/EY-power-market-russia-2018.pdf. [In Russian language].
- 5.Arstechnica. (2017). Bitcoin’s insane energy consumption, explained. https://arstechnica.com/tech-policy/2017/12/bitcoins-insane-energy-consumption-explained/.
- 6.Basden, J., & Cottrell, M. (2017). How utilities are using blockchain to modernize the grid. Harvard Business Review 23.Google Scholar
- 7.Morstyn, T., Farrell, N., Darby, S. J., & McCulloch, M. D. (2018). Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants. Nature Energy 3(2), 94.Google Scholar
- 8.Bogdanova, E. D., & Valieva, L. G. (2017). Cryptocurrency and energy. Problems, prospects and tendencies of innovative science development. In Collected Articles of International Academic and Research Conference 2017 (pp. 63–67). [In Russian language].Google Scholar
- 9.Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018). In Z. Zheng et al. (Eds.) Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services 14, 352–375. Work Pap—2016.Google Scholar
- 10.Veselov, F. V., & Khokhlov, A. (2017). Internet of energy: How distributed energy will affect security, prices for electricity and ecology. Russian version of the Forbes information resource. Business.Google Scholar
- 11.Lyalkov, I. M. (2017). Financial risk management in companies of the fuel and energy complex. Bulletin of the Russian Economic University. G.V. Plekhanov. Introduction. The path to science number 1(17), 93–100.Google Scholar
- 12.Koshechkin, S. A. (2001). The concept of risk investment project. http://www.cfin.ru/finanalysis/invest.
- 13.Rudkevich, A. M., Caramanis, M. C., Goldis, E. A., Xiaoguang, L., Ruiz, P. A., & Tabors, R. D. (2016). Financial transmission rights in changing power networks. In Hawaii International Conference on System Sciences. No 49/2016 (pp. 2326–2334).Google Scholar
- 14.Kindy, M. (2017). Divine: A blockchain reputation system for determining good market actors. https://medium.com/topl-blog/divine-a-blockchain-reputation-system-for-determining-good-market-actors-7c47a0308ae8/.
- 15.Xu, C., Wang, K., & Guo, M. (2018). Intelligent resource management in blockchain-based cloud datacenters. IEEE Cloud Computing, 4(6), 50–59, No. 8260822.Google Scholar
- 16.Dubrov A. M., Lagosha, B. A., Khrustalev, E. Yu., & Lagoshi, B. A. (2000). Modeling risk situations in the economy and business. Proc. Manual. Finance and Statistics (p. 2000176).Google Scholar
- 17.Varnavskiy, A., Gruzina, U., Rot, A., Trubnikov, V., Buryakova, A., & Sebechenko, E. (2018). Development of crowd investing on the basis of ICO crypto assets using block-options for the supply of electric generation capacity. In M. Ganzha, L. Maciaszek, & M. Paprzycki (Eds.), Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems (Vol. 17, pp. 171–178).Google Scholar
- 18.Varnavskiy, A., Gruzina, U., Rot, A., Trubnikov, V., Buryakova, A., & Sebechenko, E. (2018) Design of models for the tokenization of electric power industry basing on the blockchain technology. In M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.), Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems (T. 17, pp. 45–50). PTI.Google Scholar