Zitieren

[1] Uihlein A., Caramizaru A. Energy communities: an overview of energy and social innovation. Luxembourg: Publications Office of the European Union, 2020. Search in Google Scholar

[2] Energy efficiency directive [Online]. [Accessed 4.03.2022]. Available: https://energy.ec.europa.eu/topics/energyefficiency/energy-efficiency-targets-directive-and-rules/energy-efficiency-directive_en Search in Google Scholar

[3] Energy communities [Online]. [Accessed 4.03.2022]. Available: https://energy.ec.europa.eu/topics/markets-andconsumers/energy-communities_en Search in Google Scholar

[4] Clean energy for all Europeans package [Online]. [Accessed 4.03.2022]. Available: https://energy.ec.europa.eu/topics/energy-strategy/clean-energy-all-europeans-package_en Search in Google Scholar

[5] European Commission. Making our homes and buildings fit for a greener future. EC, 2021. Search in Google Scholar

[6] Javadi M. S., et al. Pool trading model within a local energy community considering flexible loads, photovoltaic generation and energy storage systems. Sustainable Cities and Society 2022:79:103747. https://doi.org/10.1016/j.scs.2022.103747 Search in Google Scholar

[7] Scarcello L., et al. Cascade computing model to optimize energy exchanges in prosumer communities. Heliyon 2022:8(2):e08902. https://doi.org/10.1016/j.heliyon.2022.e08902884202435198769 Search in Google Scholar

[8] Roberts M. B., Bruce A., MacGill I. A comparison of arrangements for increasing self-consumption and maximising the value of distributed photovoltaics on apartment buildings. Solar Energy 2019:193:372–386. https://doi.org/10.1016/j.solener.2019.09.067 Search in Google Scholar

[9] Reis I. F. G., Lopes M. A. R., Antunes C. H. Energy transactions between energy community members: An agentbased modeling approach. Proceedings of the International Conference on Smart Energy Systems and Technologies, SEST 2018. https://doi.org/10.1109/SEST.2018.8495635 Search in Google Scholar

[10] Celik B., et al. Coordinated neighborhood energy sharing using game theory and multi-agent systems. 2017 IEEE Manchester PowerTech 2017. https://doi.org/10.1109/PTC.2017.7980820 Search in Google Scholar

[11] Alnaser S. W., et al. Residential community with PV and batteries: Reserve provision under grid constraints. International Journal of Electrical Power & Energy Systems 2020:119:105856. https://doi.org/10.1016/j.ijepes.2020.105856 Search in Google Scholar

[12] Giordano A., et al. An Energy Community Implementation: The Unical Energy Cloud. Electronics 2019:8(12):1517. https://doi.org/10.3390/electronics8121517 Search in Google Scholar

[13] Kotarela F., Kyritsis A., Papanikolaou N. On the Implementation of the Nearly Zero Energy Building Concept for Jointly Acting Renewables Self-Consumers in Mediterranean Climate Conditions. Energies 2020:13(5):1032. https://doi.org/10.3390/en13051032 Search in Google Scholar

[14] Fleischhacker A., et al. Portfolio optimization of energy communities to meet reductions in costs and emissions. Energy 2019:173:1092–1105. https://doi.org/10.1016/j.energy.2019.02.104 Search in Google Scholar

[15] System Dynamics Society. What is System Dynamics [Online]. [Accessed 03.03.2022]. Available: https://systemdynamics.org/what-is-system-dynamics Search in Google Scholar

[16] Meadows D. H. Thinking in Systems. Chelsea: Chelsea Green Publishing, 2008. Search in Google Scholar

[17] Stella Architect [Online]. [Accessed 03.03.2022]. Available: https://www.iseesystems.com/store/products/stellaarchitect.aspx Search in Google Scholar

[18] Blumberga A., et al. Transition from traditional historic urban block to positive energy block. Energy 2020:202:117485. https://doi.org/10.1016/j.energy.2020.117485 Search in Google Scholar

[19] Energy consumption in households – Statistics Explained [Online]. [Accessed 15.06.2022]. Available: https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Energy_consumption_in_households#Energy_products_used_in_the_residential_sector Search in Google Scholar

[20] Huide F., et al. A comparative study on three types of solar utilization technologies for buildings: Photovoltaic, solar thermal and hybrid photovoltaic/thermal systems. Energy Conversion and Management 2017:140:1–13. https://doi.org/10.1016/j.enconman.2017.02.059 Search in Google Scholar

[21] Sunpower. 430-450 W Commercial A-Series Panels. San Jose: Sunpower. Search in Google Scholar

[22] Park A., Lappas P. Evaluating demand charge reduction for commercial-scale solar PV coupled with battery storage. Renewable Energy 2017:108:523–532. https://doi.org/10.1016/j.renene.2017.02.060 Search in Google Scholar

[23] Microgenerator connection [Online]. [Accessed 13.06.2022]. Available: https://sadalestikls.lv/lv/mikrogeneratorapieslegsana (In Latvian) Search in Google Scholar

[24] Enefit. NETO norekinu Sistema (NET Settlement system.). Riga: Enefit. Search in Google Scholar

[25] Zelinka I., Snasel V., Abraham A. Handbook of Optimization: From Classical to Modern Approach. Springer, 2013.10.1007/978-3-642-30504-7 Search in Google Scholar

[26] Price K., et.al. Differential evolution: a practical approach to global optimization. Springer, 2005. Search in Google Scholar

[27] Qin A. K., Huang V. L., Suganthan P. N. Differential evolution algorithm with strategy adaptation for global numerical optimization. IEEE Transactions on Evolutionary Computation 2009:13(2):398–417. https://doi.org/10.1109/TEVC.2008.927706 Search in Google Scholar

[28] Storn R., Price K. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces. Journal of Global Optimization 1997:11(4):341–359. https://doi.org/10.1023/A:1008202821328 Search in Google Scholar

[29] de Freitas A. R. R., Fleming P. J., Guimarães F. G. Aggregation Trees for visualization and dimension reduction in many-objective optimization. Information Sciences 2015:298:288–314. https://doi.org/10.1016/j.ins.2014.11.044 Search in Google Scholar

[30] Chichakly K. Multiobjective Design and Innovization of Robust Stormwater Management Plans. Burlington: The University of Vermont, 2022. Search in Google Scholar

[31] Deb K., et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lecture Notes in Computer Science 2000:1917:849–585. https://doi.org/10.1007/3-540-45356-3_83 Search in Google Scholar

[32] Non-dominated sorting discussion [Online]. [Accessed 27.06.2022]. Available: https://www.researchgate.net/post/How_do_I_apply_non_dominated_sorting_in_multiobjective_optimizations_Is_there_any_example Search in Google Scholar

[33] Prof.lv. Rockwool insulation [Online]. [Accessed 27.06.2022]. Available: https://prof.lv/en/buvmateriali/siltumizolacijas-materiali/akmens-vate/prcxtra-paroc-ultra-extra-akmens-vateplaksnes-50x1220x610mm-1042m2?biezums_mm=104644 Search in Google Scholar

[34] Takada K., et al. Thermal insulated PVC windows for residential buildings: Feasibility of insulation performance improvement by various elemental technologies. Journal of Asian Architecture and Building Engineering 2021:20(3):340–355. https://doi.org/10.1080/13467581.2020.1798773 Search in Google Scholar

[35] Nobel International. Buffer water tanks 160-1000 lt. Sofia: Nobel International, 2020. Daikin Europe N.V. The air to water heat pumps. Oostende: Daikin Europe N.V. Search in Google Scholar

eISSN:
2255-8837
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
2 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, andere