1. Butler, J. (2020). Liquor Cycle Optimization - no more silo mentality. Retrieved from https://www.valmet.com/media/articles/up-and-running/new-technology/LiquorCycleOptWebinar/ 2. Chen, C., Duan, S., Cai, T., Liu, B., & Hu, G. (2011). Optimal Allocation and Economic Analysis of Energy Storage System in Microgrids. IEEE Transactions on Power Electronics, 26(10), 2762-2773. doi: [ DOI:10.1109/TPEL.2011.2116808] 3. Dababneh, F., & Li, L. (2019). Integrated Electricity and Natural Gas Demand Response for Manufacturers in the Smart Grid. IEEE Transactions on Smart Grid, 10(4), 4164-4174. doi: [ DOI:10.1109/TSG.2018.2850841] 4. de Jong, P., Sánchez, A. S., Esquerre, K., Kalid, R. A., & Torres, E. A. (2013). Solar and wind energy production in relation to the electricity load curve and hydroelectricity in the northeast region of Brazil. Renewable and Sustainable Energy Reviews, 23, 526-535. doi: [ DOI:10.1016/j.rser.2013.01.050] 5. Dinghuan, Z., Rui, Y., & Hug-Glanzmann, G. (2010). Managing microgrids with intermittent resources: A two-layer multi-step optimal control approach. Paper presented at the North American Power Symposium 2010. [ DOI:10.1109/NAPS.2010.5619594] 6. Dolatabadi, A., Mohammadi-ivatloo, B., Abapour, M., & Tohidi, S. (2017). Optimal Stochastic Design of Wind Integrated Energy Hub. IEEE Transactions on Industrial Informatics, 13(5), 2379-2388. doi: [ DOI:10.1109/TII.2017.2664101] 7. Energy Solutions Center Inc. (2015). Paper Manufacturing Overview. Retrieved from http://gaspaperdryer.org/learn-about-paper-drying/paper-manufacturing-overview/ 8. Fabrizio, E., Corrado, V., & Filippi, M. (2010). A model to design and optimize multi-energy systems in buildings at the design concept stage. Renewable Energy, 35(3), 644-655. [ DOI:10.1016/j.renene.2009.08.012] 9. Feng, L., Dai, X., Mo, J., & Shi, L. (2019). Performance assessment of CCHP systems with different cooling supply modes and operation strategies. Energy Conversion and Management, 192, 188-201. [ DOI:10.1016/j.enconman.2019.04.048] 10. Froehlich, K., & Andersson, G. (2008). Vision of Future Energy Networks (VoFEN). Retrieved from Switzerland: https://www.osti.gov/etdeweb/servlets/purl/21555118 11. Geidl, M. (2007). Integrated modeling and optimization of multi-carrier energy systems. ETH Zurich. 12. Geidl, M., & Andersson, G. (2006). Optimal power dispatch and conversion in systems with multiple energy carriers. Paper presented at the 15th Power Systems Computation Conference, August 22-26, 2005. http://hdl.handle.net/20.500.11850/48048 13. Geidl, M., Koeppel, G., Favre-Perrod, P., Klöckl, B., Andersson, G., & Fröhlich, K. (2007). The Energy Hub: A Powerful Concept for Future Energy Systems. Paper presented at the 3rd Annual Carnegie Mellon Conference on the Electricity Industry: Ensuring that the Industry has the Physical and Human Resources Needed for the Next Thirty Years, Pittsburgh, PA, USA. http://hdl.handle.net/20.500.11850/3133 14. Ha, T., Zhang, Y., Thang, V. V., & Huang, J. (2017). Energy hub modeling to minimize residential energy costs considering solar energy and BESS. Journal of Modern Power Systems and Clean Energy, 5(3), 389-399. doi: [ DOI:10.1007/s40565-017-0281-4] 15. Mirzaei, M. A., Zare Oskouei, M., Mohammadi-Ivatloo, B., Loni, A., Zare, K., Marzband, M., & Shafiee, M. (2020). Integrated energy hub system based on power-to-gas and compressed air energy storage technologies in the presence of multiple shiftable loads. IET Generation, Transmission & Distribution, 14(13), 2510-2519. doi: [ DOI:10.1049/iet-gtd.2019.1163] 16. Moghaddam, I. G., Saniei, M., & Mashhour, E. (2016). A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building. Energy, 94, 157-170. [ DOI:10.1016/j.energy.2015.10.137] 17. Pazouki, S., & Haghifam, M.-R. (2016). Optimal planning and scheduling of energy hub in presence of wind, storage and demand response under uncertainty. International Journal of Electrical Power & Energy Systems, 80, 219-239. [ DOI:10.1016/j.ijepes.2016.01.044] 18. Rayati, M., Sheikhi, A., & Ranjbar, A. M. (2015). Optimising operational cost of a smart energy hub, the reinforcement learning approach. International Journal of Parallel, Emergent and Distributed Systems, 30(4), 325-341. [ DOI:10.1080/17445760.2014.974600] 19. Rodríguez, L., Castillo, O., & Soria, J. (2017). A study of parameters of the grey wolf optimizer algorithm for dynamic adaptation with fuzzy logic Nature-inspired design of hybrid intelligent systems (pp. 371-390): Springer. [ DOI:10.1007/978-3-319-47054-2_25] 20. Roustai, M., Rayati, M., Sheikhi, A., & Ranjbar, A. (2018). A scenario-based optimization of Smart Energy Hub operation in a stochastic environment using conditional-value-at-risk. Sustainable cities and society, 39, 309-316. [ DOI:10.1016/j.scs.2018.01.045] 21. Sheikhi, A., Rayati, M., & Ranjbar, A. M. (2015). Energy Hub optimal sizing in the smart grid; machine learning approach. Paper presented at the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). [ DOI:10.1109/ISGT.2015.7131796] 22. Sheikhi, A., Rayati, M., & Ranjbar, A. M. (2016). Demand side management for a residential customer in multi-energy systems. Sustainable cities and society, 22, 63-77. [ DOI:10.1016/j.scs.2016.01.010] 23. Soroudi, A., & Keane, A. (2015). Risk Averse Energy Hub Management Considering Plug-in Electric Vehicles Using Information Gap Decision Theory. In S. Rajakaruna, F. Shahnia, & A. Ghosh (Eds.), Plug In Electric Vehicles in Smart Grids: Energy Management (pp. 107-127). Singapore: Springer Singapore. [ DOI:10.1007/978-981-287-302-6_5] 24. Vahid-Pakdel, M. J., Nojavan, S., Mohammadi-ivatloo, B., & Zare, K. (2017). Stochastic optimization of energy hub operation with consideration of thermal energy market and demand response. Energy Conversion and Management, 145, 117-128. doi: [ DOI:10.1016/j.enconman.2017.04.074] 25. Wang, J., Zhong, H., Ma, Z., Xia, Q., & Kang, C. (2017). Review and prospect of integrated demand response in the multi-energy system. Applied Energy, 202, 772-782. [ DOI:10.1016/j.apenergy.2017.05.150] 26. Xu, X., Kai, H., Jia, H., & Yu, X. (2015). A reliability assessment approach for the urban energy system and its application in energy hub planning. Paper presented at the 2015 IEEE Power & Energy Society General Meeting. [ DOI:10.1109/PESGM.2015.7285625] 27. Yang, H., Xiong, T., Qiu, J., Qiu, D., & Dong, Z. Y. (2016). Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response. Applied Energy, 167, 353-365. [ DOI:10.1016/j.apenergy.2015.11.022] 28. Zhang, X., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. (2015). Optimal Expansion Planning of Energy Hub With Multiple Energy Infrastructures. IEEE Transactions on Smart Grid, 6(5), 2302-2311. doi: [ DOI:10.1109/TSG.2015.2390640] 29. ماندگاری, ا. (1392). ارزیابی فنی-اقتصادی احداث سیستمهای فتوولتائیک در راستای ایجاد شبکه هوشمند برق و پیکسایی آن در استان یزد. (کارشناسی ارشد), دانشگاه آزاد تهران جنوب.
|