Review
Enerji Yönetiminde Doğrusal Programlama ve Karma Tamsayılı Doğrusal Programlama Uygulamalarının Bir Derlemesi: Karar Vericiler/Üreticilerden Tüketicilere
Abstract
Enerji verimliliği ve enerji yönetimi alanındaki optimizasyon yöntemleri
popüler bir araştırma alanıdır. Doğrusal programlama, karma tamsayılı doğrusal
programlama uygulamaları, karmaşık problemler için etkin çözülebilir bir model
sağladıkları için önemlidir. Bu çalışma, karar vericiler/üreticiler ve
tüketicilerin bakış açılarından bu uygulamalara odaklanmaktadır. Bu
uygulamalardan bazıları, akıllı güç dağıtımı, yenilenebilir enerji kaynakları,
enerji verimli binalar, enerji planlaması vb. ile ilgilidir. Enerji talebi,
yeni alternatif enerji kaynakları ve yeni teknolojik gelişmeler büyümeye devam
ettikçe, genel olarak optimizasyon yöntemlerinin kullanımı ve özel anlamda
doğrusal programlama birçok farklı uygulama alanı bulacaktır.
References
- [1] Anees, A., Hussain, I., AlKhaldi, A. H., & Aslam, M. (2018). Linear triangular optimization technique and pricing scheme in residential energy management systems. Results in Physics, 9, 858-865.[2] Babonneau, F., Caramanis, M. & Haurie, A. (2016). A linear programming model for power distribution with demand response and variable renewable energy. Applied Energy, 181(C), 83-95.[3] Bertrand, A., Mian, A., Kantor, I., Aggoune, R., & Maréchal, F. (2019). Regional waste heat valorisation: a mixed integer linear programming method for energy service companies. Energy, 167, 454-468.[4] Bohlayer, M., & Zöttl, G, (2018). Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach. Energy, 159(C), 327-343. [5] Bordin, C. Mathematical optimization applied to thermal and electrical energy systems. (2015), PhD, Universita di Bologna, Italy.[6] Bordin, C., Anuta, H. O., Crossland, A., Lascurain Gutierrez, I., Dent, C. J. & Vigo, D. (2016). A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration. Renewable Energy, 101, 417-430.[7] Bourbon, R., Ngueveu, S. U., Roboam, X., Sareni, B., Turpin, C., & Hernandez-Torres, D. (2018). Energy management optimization of a smart wind power plant comparing heuristic and linear programming methods. Mathematics and Computers in Simulation, https://doi.org/10.1016/j.matcom.2018.09.022. [8] Cormio, C., Dicorato, M., Minoia, A., & Trovato, M. (2003). A regional planning methodology including renewable energy sources and environmental constraints. Renewable ans Sustainable Energy Reviews, 7, 99-130.[9] Dai, R., & Charkhgard, H. (2018). Bi-objective mixed integer linear programming for managing building clusters with a shared electrical energy storage. Computers and Operations Research, https://doi.org/10.1016/j.cor.2018.01.002. [10] Damyant, L. and & David, F. J. (1990). Exploring regional energy futures in Canada: a techno-economic energy model for Ontario. Energy, 15 (10), 885-898.[11] Delarue, E., & D’haeseleer, W. A mixed linear programming model for solving the unit commitment problem: development and illustration. (2008), TME Working Paper, University of Leuven, Belgium. [12] Dicorato, M., Forte, G., & Trovato, M. (2008). Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities. Renewable Energy, 33, 1297-1313. [13] Dragicevic, S., and & Bojic, M. (2009). Application of linear programming in energy management. Serbian Journal of Management, 4(2), 227-238.[14] Ervural, B. Ç., Ervural, B., & Evren, R. (2016). Optimization models in energy: A literature review. Ege Academic Review, 16(Special Issue), 51-70. [15] Fujii, Y. (2002). Analysis of the optimal configuration of energy transportation infrastructure in Asia with a linear programming energy system model. International Journal of Global Energy Issues, 18 (1), 22-43.[16] Gupta, S. D., Tobin, J. K., & Pavel, L. (2016). A two-step linear programming model for energy-efficient timetables in metro railway networks. Transportation Research Part B: Methodological, 93, 57-74. [17]He, P., Ng, T. S., & Su. B. (2015). Energy import resilience with input-output linear programming models. Energy Economics, 50, 215-226.[18] He, P., Ng, T. S., & Su, B. (2017). Energy-economic recovery resilience with input-output linear programming models. Energy Economics, 68(C), 177-191. [19] Huneke, F., Henkel, J., Gonzalez, J. A. B., & Erdmann, G. (2012). Optimization of hybrid off-grid energy systems by linear programming. Energy, Sustainability and Society, 2-7. [20] Iniyan, S., & Sumathy, K. (2003). The application of a Delphi technique in the linear programming optimization of future renewable energy options for India. Biomass and Bioenergy, 24, 39-50. [21] Kaldemeyer, C., Boysen, C., & Tuschy, I. (2018). A generic formulation of compressed air energy storage as mixed integer linear program – unit commitment of specific technical concepts in arbitrary market environments. Materials Today: Proceedings, 5(11), 22835-22849. [22] Lamedica, R., Santini, E., Ruvio, A., Palagi, L., & Rossetta, I. (2018). A MILP methodology to optimize sizing of PV - wind renewable energy systems. Energy, 165, 385-398.[23] Lauinger, D., Caliandro, P., Van Herle, J., & Kuhn, D. (2016). A linear programming approach to the optimization of residential energy systems. Journal of Energy Storage, 7, 24-37.[24]Lindberg, K. B., Doorman, G., Fischer, D., Korpås, M., Ånestada, A., & Sartorif, I. (2016). Methodology for optimal energy system design of zero energy buildings using mixed-integer linear programming. Energy and Buildings, 127(Supplement C), 194‐205. [25] Lopez-Pena, A., Perez-Arriaga, I., & Linares, P. (2012). Renewables vs. energy efficiency: The cost of carbon emissions reduction in Spain. Energy Policy, 50, 659-668.[26]Manfren, M. (2012). Multi-commodity network flow models for dynamic energy management-mathematical formulation. Energy Procedia, 14, 1380-1385. [27]Omu, A., Choudhary, R., & Boies, A. (2013). Distributed energy resource system optimisation using mixed integer linear programming. Energy Policy, 61, 248-266.[28]Omu, A., Hsieh, S., & Orehounig, K. (2016). Mixed integer linear programming for the design of solar thermal energy systems with short-term storage. Applied Energy, 180, 313-326.[29]Önüt, S., & Soner, S. (2006). Energy efficiency assessment for the Antalya region hotels in Turkey. Energy and Buildings, 38, 964-971.[30] Paly, M., Hecht-Mendez, J., Beck, M., Blum, P., Zell, A., & Bayer, P. (2012). Optimization of energy extraction for closed shallow geothermal systems using linear programming. Geothermics, 43, 57-65. [31] Pilla, L., Desogus, G., Mura, S., Ricciu, R., & Francesco, M. (2016). Optimizing the distribution of Italian building energy retrofit incentives with linear programming. Energy and Buildings, 112, 21-27.[32] Privitera, G., Day, A. R., Dhesi, G., & Long, D. (2011). Optimising the installation costs of renewable energy technologies in buildings: a linear programming approach. Energy and Buildings, 43, 838-843. [33]Rizzo, G., & Savino, G. (2012). A linear programming model for the optimal assessment of sustainable energy action plans. In 25th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (pp. 398: 1-13). Perugia, Italy. [34] Samsatli, S., & Samsatli, N. J. (2018). A general mixed integer linear programming model for the design and operation of integrated urban energy systems. Journal of Cleaner Production, 191, 458-479.[35]Somma M., Yan B., Bianco N., Luh, P.B., Mongibello, L., & Naso, V. (2015). Operation optimization of a distributed energy system considering energy costs and exergy efficiency. Energy Conversion and Management, 103, 739-751. [36]Song, H., Dotzauer, E., Thorin, E., Guziana, B., Huopana, T., & Jan, J. (2012). A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation. Energy, 46, 522-532. [37] Tan, Q., Huang, G.H., & Cai, Y. P. (2010). Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints. Journal of Environmental Management, 91, 1898-1913. [38] Tenfen, D., & Finardi, E. C. (2015). A mixed integer linear programming model for the energy management problem of microgrids. Electric Power Systems Research, 122, 19-28. [39]Torres, D., Crichigno, J., Padilla, G., & Rivera, R. (2014). Scheduling coupled photovoltaic, battery and conventional energy sources to maximize profit using linear programming. Renewable Energy, 72, 284-290. [40] Umetani, S., Fukushima, Y., & Morita, H. (2017). A linear programming based heuristic algorithm for charge and discharge scheduling of electric vehicles in a building energy management system. Omega, 67(C), 115-122. [41]Urbanucci, L. (2018). Limits and potentials of mixed integer linear programming methods for optimization of polygeneration energy systems. Energy Procedia, 148, 1199-1205. [42] Üçtuğ, F. G., & Yükseltan, E. (2012). A linear programming approach to household energy conservation: Efficient allocation of budget. Energy and Buildings, 49, 200-208. [43]Wakui, T., Kinoshita, T., & Yokoyama, R. (2014). A mixed-integer linear programming approach for cogeneration- based residental energy supply networks with power and heat interchanges. Energy, 68, 29-45. [44]Wang, X., Jin, M., Feng, W., Shu, G., Tian, H., & Liang, H. (2018). Cascade energy optimization for waste heat recovery in distributed energy systems. Applied Energy, 230, 679-695.[45]Wang, Y., Zhang, N., Zhuo, Z., Kang, C., & Kirschen, D. (2018). Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch. Applied Energy, 210(C), 1141-1150. [46]Wu, N., Li, Z., & Qu, T. (2017). Energy efficiency optimization in scheduling crude oil operations of refinery based on linear programming. Journal of Cleaner Production, doi: 10.1016/j.jclepro.2017.07.222. [47]Xydis, G., & Koroneos, C. (2012). A linear programming approach for the optimal planning of a future energy system. Potential contribution of energy recovery from municipal solid wastes. Renewable and Sustainable Energy Reviews, 16, 369-378. [48]Yin, J., Yang, L., Tang, T., Gao, Z., & Ran, B. (2017). Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: mixed-integer linear programming approaches. Transportation Research Part B: Methodological, 97(C), 182-213. [49]Zhou, P., & Ang, B.W. (2008). Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy, 36, 2911-2916.
A Review of Applications of Linear Programming and Mixed Integer Linear Programming in Energy Management: From Policy Makers/Producers to Consumers
Abstract
Optimization methods in the
field of energy efficiency and energy management is a popular research area. Applications
of linear programming, mixed integer linear programming are important since
they provide an efficiently-solvable model for these complex problems. This study focuses
on those applications from the perspectives of policy makers / producers and
consumers. Some of those applications are related to smart power distribution,
renewables, energy efficient buildings, energy planning etc. As the demand for
energy, new alternative energy sources and new technological developments will
keep growing, use of optimization methods in general and linear programming in
particular will find many different application areas.
References
- [1] Anees, A., Hussain, I., AlKhaldi, A. H., & Aslam, M. (2018). Linear triangular optimization technique and pricing scheme in residential energy management systems. Results in Physics, 9, 858-865.[2] Babonneau, F., Caramanis, M. & Haurie, A. (2016). A linear programming model for power distribution with demand response and variable renewable energy. Applied Energy, 181(C), 83-95.[3] Bertrand, A., Mian, A., Kantor, I., Aggoune, R., & Maréchal, F. (2019). Regional waste heat valorisation: a mixed integer linear programming method for energy service companies. Energy, 167, 454-468.[4] Bohlayer, M., & Zöttl, G, (2018). Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach. Energy, 159(C), 327-343. [5] Bordin, C. Mathematical optimization applied to thermal and electrical energy systems. (2015), PhD, Universita di Bologna, Italy.[6] Bordin, C., Anuta, H. O., Crossland, A., Lascurain Gutierrez, I., Dent, C. J. & Vigo, D. (2016). A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration. Renewable Energy, 101, 417-430.[7] Bourbon, R., Ngueveu, S. U., Roboam, X., Sareni, B., Turpin, C., & Hernandez-Torres, D. (2018). Energy management optimization of a smart wind power plant comparing heuristic and linear programming methods. Mathematics and Computers in Simulation, https://doi.org/10.1016/j.matcom.2018.09.022. [8] Cormio, C., Dicorato, M., Minoia, A., & Trovato, M. (2003). A regional planning methodology including renewable energy sources and environmental constraints. Renewable ans Sustainable Energy Reviews, 7, 99-130.[9] Dai, R., & Charkhgard, H. (2018). Bi-objective mixed integer linear programming for managing building clusters with a shared electrical energy storage. Computers and Operations Research, https://doi.org/10.1016/j.cor.2018.01.002. [10] Damyant, L. and & David, F. J. (1990). Exploring regional energy futures in Canada: a techno-economic energy model for Ontario. Energy, 15 (10), 885-898.[11] Delarue, E., & D’haeseleer, W. A mixed linear programming model for solving the unit commitment problem: development and illustration. (2008), TME Working Paper, University of Leuven, Belgium. [12] Dicorato, M., Forte, G., & Trovato, M. (2008). Environmental-constrained energy planning using energy-efficiency and distributed-generation facilities. Renewable Energy, 33, 1297-1313. [13] Dragicevic, S., and & Bojic, M. (2009). Application of linear programming in energy management. Serbian Journal of Management, 4(2), 227-238.[14] Ervural, B. Ç., Ervural, B., & Evren, R. (2016). Optimization models in energy: A literature review. Ege Academic Review, 16(Special Issue), 51-70. [15] Fujii, Y. (2002). Analysis of the optimal configuration of energy transportation infrastructure in Asia with a linear programming energy system model. International Journal of Global Energy Issues, 18 (1), 22-43.[16] Gupta, S. D., Tobin, J. K., & Pavel, L. (2016). A two-step linear programming model for energy-efficient timetables in metro railway networks. Transportation Research Part B: Methodological, 93, 57-74. [17]He, P., Ng, T. S., & Su. B. (2015). Energy import resilience with input-output linear programming models. Energy Economics, 50, 215-226.[18] He, P., Ng, T. S., & Su, B. (2017). Energy-economic recovery resilience with input-output linear programming models. Energy Economics, 68(C), 177-191. [19] Huneke, F., Henkel, J., Gonzalez, J. A. B., & Erdmann, G. (2012). Optimization of hybrid off-grid energy systems by linear programming. Energy, Sustainability and Society, 2-7. [20] Iniyan, S., & Sumathy, K. (2003). The application of a Delphi technique in the linear programming optimization of future renewable energy options for India. Biomass and Bioenergy, 24, 39-50. [21] Kaldemeyer, C., Boysen, C., & Tuschy, I. (2018). A generic formulation of compressed air energy storage as mixed integer linear program – unit commitment of specific technical concepts in arbitrary market environments. Materials Today: Proceedings, 5(11), 22835-22849. [22] Lamedica, R., Santini, E., Ruvio, A., Palagi, L., & Rossetta, I. (2018). A MILP methodology to optimize sizing of PV - wind renewable energy systems. Energy, 165, 385-398.[23] Lauinger, D., Caliandro, P., Van Herle, J., & Kuhn, D. (2016). A linear programming approach to the optimization of residential energy systems. Journal of Energy Storage, 7, 24-37.[24]Lindberg, K. B., Doorman, G., Fischer, D., Korpås, M., Ånestada, A., & Sartorif, I. (2016). Methodology for optimal energy system design of zero energy buildings using mixed-integer linear programming. Energy and Buildings, 127(Supplement C), 194‐205. [25] Lopez-Pena, A., Perez-Arriaga, I., & Linares, P. (2012). Renewables vs. energy efficiency: The cost of carbon emissions reduction in Spain. Energy Policy, 50, 659-668.[26]Manfren, M. (2012). Multi-commodity network flow models for dynamic energy management-mathematical formulation. Energy Procedia, 14, 1380-1385. [27]Omu, A., Choudhary, R., & Boies, A. (2013). Distributed energy resource system optimisation using mixed integer linear programming. Energy Policy, 61, 248-266.[28]Omu, A., Hsieh, S., & Orehounig, K. (2016). Mixed integer linear programming for the design of solar thermal energy systems with short-term storage. Applied Energy, 180, 313-326.[29]Önüt, S., & Soner, S. (2006). Energy efficiency assessment for the Antalya region hotels in Turkey. Energy and Buildings, 38, 964-971.[30] Paly, M., Hecht-Mendez, J., Beck, M., Blum, P., Zell, A., & Bayer, P. (2012). Optimization of energy extraction for closed shallow geothermal systems using linear programming. Geothermics, 43, 57-65. [31] Pilla, L., Desogus, G., Mura, S., Ricciu, R., & Francesco, M. (2016). Optimizing the distribution of Italian building energy retrofit incentives with linear programming. Energy and Buildings, 112, 21-27.[32] Privitera, G., Day, A. R., Dhesi, G., & Long, D. (2011). Optimising the installation costs of renewable energy technologies in buildings: a linear programming approach. Energy and Buildings, 43, 838-843. [33]Rizzo, G., & Savino, G. (2012). A linear programming model for the optimal assessment of sustainable energy action plans. In 25th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (pp. 398: 1-13). Perugia, Italy. [34] Samsatli, S., & Samsatli, N. J. (2018). A general mixed integer linear programming model for the design and operation of integrated urban energy systems. Journal of Cleaner Production, 191, 458-479.[35]Somma M., Yan B., Bianco N., Luh, P.B., Mongibello, L., & Naso, V. (2015). Operation optimization of a distributed energy system considering energy costs and exergy efficiency. Energy Conversion and Management, 103, 739-751. [36]Song, H., Dotzauer, E., Thorin, E., Guziana, B., Huopana, T., & Jan, J. (2012). A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation. Energy, 46, 522-532. [37] Tan, Q., Huang, G.H., & Cai, Y. P. (2010). Waste management with recourse: an inexact dynamic programming model containing fuzzy boundary intervals in objectives and constraints. Journal of Environmental Management, 91, 1898-1913. [38] Tenfen, D., & Finardi, E. C. (2015). A mixed integer linear programming model for the energy management problem of microgrids. Electric Power Systems Research, 122, 19-28. [39]Torres, D., Crichigno, J., Padilla, G., & Rivera, R. (2014). Scheduling coupled photovoltaic, battery and conventional energy sources to maximize profit using linear programming. Renewable Energy, 72, 284-290. [40] Umetani, S., Fukushima, Y., & Morita, H. (2017). A linear programming based heuristic algorithm for charge and discharge scheduling of electric vehicles in a building energy management system. Omega, 67(C), 115-122. [41]Urbanucci, L. (2018). Limits and potentials of mixed integer linear programming methods for optimization of polygeneration energy systems. Energy Procedia, 148, 1199-1205. [42] Üçtuğ, F. G., & Yükseltan, E. (2012). A linear programming approach to household energy conservation: Efficient allocation of budget. Energy and Buildings, 49, 200-208. [43]Wakui, T., Kinoshita, T., & Yokoyama, R. (2014). A mixed-integer linear programming approach for cogeneration- based residental energy supply networks with power and heat interchanges. Energy, 68, 29-45. [44]Wang, X., Jin, M., Feng, W., Shu, G., Tian, H., & Liang, H. (2018). Cascade energy optimization for waste heat recovery in distributed energy systems. Applied Energy, 230, 679-695.[45]Wang, Y., Zhang, N., Zhuo, Z., Kang, C., & Kirschen, D. (2018). Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch. Applied Energy, 210(C), 1141-1150. [46]Wu, N., Li, Z., & Qu, T. (2017). Energy efficiency optimization in scheduling crude oil operations of refinery based on linear programming. Journal of Cleaner Production, doi: 10.1016/j.jclepro.2017.07.222. [47]Xydis, G., & Koroneos, C. (2012). A linear programming approach for the optimal planning of a future energy system. Potential contribution of energy recovery from municipal solid wastes. Renewable and Sustainable Energy Reviews, 16, 369-378. [48]Yin, J., Yang, L., Tang, T., Gao, Z., & Ran, B. (2017). Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: mixed-integer linear programming approaches. Transportation Research Part B: Methodological, 97(C), 182-213. [49]Zhou, P., & Ang, B.W. (2008). Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy, 36, 2911-2916.
There are 1 citations in total.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Reviews |
| Authors | |
| Publication Date | December 30, 2018 |
| Submission Date | December 10, 2018 |
| Published in Issue | Year 2018 Volume: 1 Issue: 2 |