Volume 1, Issue 2 (Journal of Control (English Edition), VOL. 01, NO. 02, 2022)                   jocee 2022, 1(2): 67-80 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Makki M, Rashidinejad M, Abdollahi A, Salehizadeh M R. Energy Efficiency Improvement by Integrating Cryptocurrency Miners in An Energy Hub Framework. jocee 2022; 1 (2) :67-80
URL: http://jocee.kntu.ac.ir/article-1-53-en.html
1- Department of the Electrical Engineering Shahid Bahonar University of Kerman, Iran
2- Department of the Electrical Engineering, Marvdasht Branch, Islamic Azad University, Iran
Abstract:   (856 Views)
Following population growth, the need for food is increased all over the world. In this regard, investment in greenhouses becomes an attractive solution to produce fresh agricultural products. In some parts of Iran, greenhouses are usually located next to residential buildings in rural areas. Both residential buildings and greenhouses consume electrical and thermal energy. In this regard, they can be considered in an energy hub in which photovoltaic (PV) systems and combined heat and power units (CHP) are used as the sources of electrical and thermal energies. This energy hub can be connected to the distribution network for the energy exchange. To enhance economic profit, cryptocurrency miners can be integrated into the energy hub. From the energy perspective, cryptocurrency miners consume electrical energy and produce heat. In this regard, the configuration of the energy hub becomes more complex and requires an optimal operational management and energy efficiency improvement mechanism. To this purpose, this paper presents a novel optimization framework by considering electrical energy storing, CO2 capturing, and miner heat recycling. This energy hub has been investigated for a rural residential hub in Golzar area, Kerman province of Iran, and the results are analyzed.
Full-Text [PDF 832 kb]   (196 Downloads)    
Type of Article: Research paper | Subject: Special Issue
Received: 2022/05/7 | Accepted: 2022/11/20 | ePublished ahead of print: 2022/12/1 | Published: 2022/12/20

References
1. [1] W. Wu and B. Ma, "Integrated nutrient management (INM) for sustaining crop productivity and reducing environmental impact: A review," Science of the Total Environment, vol. 512, pp. 415-427, 2015. [DOI:10.1016/j.scitotenv.2014.12.101]
2. [2] Food and A. O. o. t. U. Nations, "High Level Expert Forum-How to Feed the World in 2050," ed: Office of the Director, Agricultural Development Economics Division Rome, Italy, 2009.
3. [3] J. Fernández et al., "Current trends in protected cultivation in Mediterranean climates," Eur. J. Hortic. Sci, vol. 83, no. 5, pp. 294-305, 2018.
4. [4] E. Iddio, L. Wang, Y. Thomas, G. McMorrow, and A. Denzer, "Energy efficient operation and modeling for greenhouses: A literature review," Renewable and Sustainable Energy Reviews, vol. 117, p. 109480, 2020. [DOI:10.1016/j.rser.2019.109480]
5. [5] T. Compernolle, N. Witters, S. Van Passel, and T. Thewys, "Analyzing a self-managed CHP system for greenhouse cultivation as a profitable way to reduce CO2-emissions," Energy, vol. 36, no. 4, pp. 1940-1947, 2011. [DOI:10.1016/j.energy.2010.02.045]
6. [6] K. G. Tataraki, K. C. Kavvadias, and Z. B. Maroulis, "Combined cooling heating and power systems in greenhouses. Grassroots and retrofit design," Energy, vol. 189, p. 116283, 2019. [DOI:10.1016/j.energy.2019.116283]
7. [7] M. H. Barmayoon, M. Fotuhi-Firuzabad, A. Rajabi-Ghahnavieh, and M. Moeini-Aghtaie, "Energy storage in renewable-based residential energy hubs," IET Generation, Transmission & Distribution, vol. 10, no. 13, pp. 3127-3134, 2016. [DOI:10.1049/iet-gtd.2015.0957]
8. [8] F. Brahman, M. Honarmand, and S. Jadid, "Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system," Energy and Buildings, vol. 90, pp. 65-75, 2015. [DOI:10.1016/j.enbuild.2014.12.039]
9. [9] M. Z. Oskouei, B. Mohammadi-Ivatloo, M. Abapour, A. Ahmadian, and J. Piran, "A novel economic structure to improve the energy label in smart residential buildings under energy efficiency programs," Journal of Cleaner Production, p. 121059, 2020. [DOI:10.1016/j.jclepro.2020.121059]
10. [10] Y. Huang, W. Wang, and B. Hou, "A hybrid algorithm for mixed integer nonlinear programming in residential energy management," Journal of Cleaner Production, vol. 226, pp. 940-948, 2019. [DOI:10.1016/j.jclepro.2019.04.062]
11. [11] M. Z. Oskouei, B. Mohammadi-Ivatloo, M. Abapour, M. Shafiee, and A. Anvari-Moghaddam, "Techno-economic and environmental assessment of the coordinated operation of regional grid-connected energy hubs considering high penetration of wind power," Journal of Cleaner Production, vol. 280, p. 124275, 2021. [DOI:10.1016/j.jclepro.2020.124275]
12. [12] M. M. Sani, H. M. Sani, M. Fowler, A. Elkamel, A. Noorpoor, and A. Ghasemi, "Optimal energy hub development to supply heating, cooling, electricity and freshwater for a coastal urban area taking into account economic and environmental factors," Energy, vol. 238, p. 121743, 2022. [DOI:10.1016/j.energy.2021.121743]
13. [13] S. Dorahaki, A. Abdollahi, Z. Sadeghi, M. Rashidinejad, and M. R. Salehizadeh, "A Robust Optimization Approach for Uncertainty Management of Smart Water and Energy Hub along with Demand Response Program," Journal of Iranian Association of Electrical and Electronics Engineers, vol. 19, no. 1, pp. 89-96, 2022. [DOI:10.52547/jiaeee.19.1.89]
14. [14] K. Elmaadawy et al., "Optimal sizing and techno-enviro-economic feasibility assessment of large-scale reverse osmosis desalination powered with hybrid renewable energy sources," Energy Conversion and Management, vol. 224, p. 113377, 2020. [DOI:10.1016/j.enconman.2020.113377]
15. [15] F. Ramadhani, M. Hussain, H. Mokhlis, and H. A. Illias, "Optimal heat recovery using photovoltaic thermal and thermoelectric generator for solid oxide fuel cell-based polygeneration system: Techno-economic and environmental assessments," Applied Thermal Engineering, vol. 181, p. 116015, 2020. [DOI:10.1016/j.applthermaleng.2020.116015]
16. [16] S. M. Moghaddas-Tafreshi, M. Jafari, S. Mohseni, and S. Kelly, "Optimal operation of an energy hub considering the uncertainty associated with the power consumption of plug-in hybrid electric vehicles using information gap decision theory," International Journal of Electrical Power & Energy Systems, vol. 112, pp. 92-108, 2019. [DOI:10.1016/j.ijepes.2019.04.040]
17. [17] S. Nojavan, M. Majidi, and K. Zare, "Performance improvement of a battery/PV/fuel cell/grid hybrid energy system considering load uncertainty modeling using IGDT," Energy Conversion and Management, vol. 147, pp. 29-39, 2017. [DOI:10.1016/j.enconman.2017.05.039]
18. [18] S. Turkdogan, "Design and optimization of a solely renewable based hybrid energy system for residential electrical load and fuel cell electric vehicle," Engineering Science and Technology, an International Journal, vol. 24, no. 2, pp. 397-404, 2021. [DOI:10.1016/j.jestch.2020.08.017]
19. [19] M. A. V. Rad, R. Ghasempour, P. Rahdan, S. Mousavi, and M. Arastounia, "Techno-economic analysis of a hybrid power system based on the cost-effective hydrogen production method for rural electrification, a case study in Iran," Energy, vol. 190, p. 116421, 2020. [DOI:10.1016/j.energy.2019.116421]
20. [20] Y. Yan, J. Yan, M. Song, X. Zhou, H. Zhang, and Y. Liang, "Design and optimal siting of regional heat-gas-renewable energy system based on building clusters," Energy Conversion and Management, vol. 217, p. 112963, 2020. [DOI:10.1016/j.enconman.2020.112963]
21. [21] M. A. Mohamed, S. Mirjalili, U. Dampage, S. H. Salmen, S. A. Obaid, and A. Annuk, "A cost-efficient-based cooperative allocation of mining devices and renewable resources enhancing blockchain architecture," Sustainability, vol. 13, no. 18, p. 10382, 2021. [DOI:10.3390/su131810382]
22. [22] A. Malfuzi, A. Mehr, M. A. Rosen, M. Alharthi, and A. Kurilova, "Economic viability of bitcoin mining using a renewable-based SOFC power system to supply the electrical power demand," Energy, vol. 203, p. 117843, 2020. [DOI:10.1016/j.energy.2020.117843]
23. [23] D. Rusovs, S. Jaundālders, and P. Stanka, "Blockchain mining of cryptocurrencies as challenge and opportunity for renewable energy," in 2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 2018: IEEE, pp. 1-5. [DOI:10.1109/RTUCON.2018.8659867]
24. [24] R. Shan and Y. Sun, "Bitcoin mining to reduce the renewable curtailment: a case study of CAISO," Available at SSRN 3436872, 2019. [DOI:10.2139/ssrn.3436872]
25. [25] A. Nikzad and M. Mehregan, "Techno-economic, and environmental evaluations of a novel cogeneration system based on solar energy and cryptocurrency mining," Solar Energy, vol. 232, pp. 409-420, 2022. [DOI:10.1016/j.solener.2022.01.014]
26. [26] C. L. Bastian-Pinto, F. V. d. S. Araujo, L. E. Brandão, and L. L. Gomes, "Hedging renewable energy investments with Bitcoin mining," Renewable and Sustainable Energy Reviews, vol. 138, p. 110520, 2021. [DOI:10.1016/j.rser.2020.110520]
27. [27] E. Hajipour, F. Khavari, M. Hajiaghapour-Moghimi, K. A. Hosseini, and M. Vakilian, "An economic evaluation framework for cryptocurrency mining operation in microgrids," International Journal of Electrical Power & Energy Systems, vol. 142, p. 108329, 2022. [DOI:10.1016/j.ijepes.2022.108329]
28. [28] J. Hassan, R. Zin, M. Abd Majid, S. Balubaid, and M. Hainin, "Building energy consumption in Malaysia: An overview," Jurnal Teknologi, vol. 70, no. 7, 2014. [DOI:10.11113/jt.v70.3574]
29. [29] C.-f. Chen, G. Z. de Rubens, X. Xu, and J. Li, "Coronavirus comes home? Energy use, home energy management, and the social-psychological factors of COVID-19," Energy research & social science, vol. 68, p. 101688, 2020. [DOI:10.1016/j.erss.2020.101688]
30. [30] E. Hirst and M. Brown, "Closing the efficiency gap: barriers to the efficient use of energy," Resources, Conservation and Recycling, vol. 3, no. 4, pp. 267-281, 1990. [DOI:10.1016/0921-3449(90)90023-W]
31. [31] A. B. Jaffe and R. N. Stavins, "The energy-efficiency gap What does it mean?," Energy policy, vol. 22, no. 10, pp. 804-810, 1994. [DOI:10.1016/0301-4215(94)90138-4]
32. [32] N. Verkade and J. Höffken, "The design and development of domestic smart grid interventions: Insights from the Netherlands," Journal of Cleaner Production, vol. 202, pp. 799-805, 2018. [DOI:10.1016/j.jclepro.2018.08.185]
33. [33] D. A. Comerford, I. Lange, and M. Moro, "Proof of concept that requiring energy labels for dwellings can induce retrofitting," Energy Economics, vol. 69, pp. 204-212, 2018. [DOI:10.1016/j.eneco.2017.11.013]
34. [34] M. J. Bordbari, A. R. Seifi, and M. Rastegar, "Probabilistic energy consumption analysis in buildings using point estimate method," Energy, vol. 142, pp. 716-722, 2018. [DOI:10.1016/j.energy.2017.10.091]
35. [35] J. Jia and W.-L. Lee, "The rising energy efficiency of office buildings in Hong Kong," Energy and buildings, vol. 166, pp. 296-304, 2018. [DOI:10.1016/j.enbuild.2018.01.062]
36. [36] Y. Sheng, Z. Miao, J. Zhang, X. Lin, and H. Ma, "Energy consumption model and energy benchmarks of five-star hotels in China," Energy and Buildings, vol. 165, pp. 286-292, 2018. [DOI:10.1016/j.enbuild.2018.01.031]
37. [37] A. Melo, R. Versage, G. Sawaya, and R. Lamberts, "A novel surrogate model to support building energy labelling system: A new approach to assess cooling energy demand in commercial buildings," Energy and Buildings, vol. 131, pp. 233-247, 2016. [DOI:10.1016/j.enbuild.2016.09.033]
38. [38] A. Arteconi, A. Mugnini, and F. Polonara, "Energy flexible buildings: A methodology for rating the flexibility performance of buildings with electric heating and cooling systems," Applied Energy, vol. 251, p. 113387, 2019. [DOI:10.1016/j.apenergy.2019.113387]
39. [39] T. Blom, W. Straver, F. Ingratta, S. Khosla, and W. Brown, Carbon dioxide in greenhouses. Ontario. Ministry of Agriculture and Food, 1984.

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control (English Edition)

Designed & Developed by : Yektaweb