1. bookVolumen 26 (2022): Edición 1 (January 2022)
Detalles de la revista
License
Formato
Revista
eISSN
2255-8837
Primera edición
26 Mar 2010
Calendario de la edición
2 veces al año
Idiomas
Inglés
access type Acceso abierto

Possibilities of Balancing Buildings Energy Demand for Increasing Energy Efficiency in Latvia

Publicado en línea: 03 Mar 2022
Volumen & Edición: Volumen 26 (2022) - Edición 1 (January 2022)
Páginas: 98 - 114
Detalles de la revista
License
Formato
Revista
eISSN
2255-8837
Primera edición
26 Mar 2010
Calendario de la edición
2 veces al año
Idiomas
Inglés
Abstract

Nowadays national and international directives have focused on improving energy efficiency in the building sector. According to them, energy consumption and emissions of buildings must be reduced. This can be achieved by balancing energy demand in buildings. In this context, this paper proposes a buildings’ energy demand balancing method using the building energy consumption simulation program IDA ICE and real measurements. A 3D model of the building was developed, energy consumption and indoor climate of the building was monitored throughout the year, the behaviour of the occupants (a survey was conducted) was analysed, dynamic change of the weather was studied and all data were integrated into IDA ICE simulation. In order to increase the energy efficiency of buildings, the possibilities of optimization of heat production equipment and heating devices, as well as inspecting and optimization of ventilation and cooling equipment were considered. By adjusting the parameters of the heating system of the researched object, the energy consumption of the auto centre decreased to 39.3 kWh/m2 per year. One of the most popular methods of balancing energy demand in recent years – the creation of smart grids – is also considered.

Keywords

[1] International Energy Agency. Global Energy and CO2 Status Report. Oecd-Iea. Paris: IEA, 2019. Search in Google Scholar

[2] IEA and UNEP. 2019 Global Status Report for Buildings and Construction. Paris: IEA, 2019. Search in Google Scholar

[3] Staveckis A., Borodinecs A. Impact of impinging jet ventilation on thermal comfort and indoor air quality in office buildings. Energy Build. 2021:235:110738. https://doi.org/10.1016/j.enbuild.2021.110738.10.1016/j.enbuild.2021.110738 Search in Google Scholar

[4] Pakere I., et al. Climate Index for District Heating System. Environmental and Climate Technologies 2020:24(1):406–418. https://doi.org/10.2478/rtuect-2020-002410.2478/rtuect-2020-0024 Search in Google Scholar

[5] Li W., et al. A novel operation approach for the energy efficiency improvement of the HVAC system in office spaces through real -time big data analytics. Renewable and Sustainable Energy Reviews 2020:127:109885. https://doi.org/10.1016/j.rser.2020.10988510.1016/j.rser.2020.109885 Search in Google Scholar

[6] Hang L., Kim D. H. Enhanced model-based predictive control system based on fuzzy logic for maintaining thermal comfort in IoT smart space. Applied Sciences 2018:8(7):1031. https://doi.org/10.3390/app807103110.3390/app8071031 Search in Google Scholar

[7] Haidar N., et al. New consumer-dependent energy management system to reduce cost and carbon impact in smart buildings. Sustainable Cities and Society 2018:39:740–750. https://doi.org/10.1016/j.scs.2017.11.03310.1016/j.scs.2017.11.033 Search in Google Scholar

[8] Abokersh M. H., et al. A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings. Applied Energy 2021:281:116091. https://doi.org/10.1016/j.apenergy.2020.11609110.1016/j.apenergy.2020.116091 Search in Google Scholar

[9] Gärtner J. A., Massa Gray F., Auer T. Assessment of the impact of HVAC system configuration and control zoning on thermal comfort and energy efficiency in flexible office spaces. Energy and Buildings 2020:212:109785. https://doi.org/10.1016/j.enbuild.2020.10978510.1016/j.enbuild.2020.109785 Search in Google Scholar

[10] Cabinet of Ministers Republic of Latvia. Ministru kabineta noteikumi Nr. 222 - Ēku energoefektivitātes aprēķina metodes un ēku energosertifikācijas noteikumi (Regulations of the Cabinet of Ministers No. 222 – Methods for calculating the energy performance of buildings and rules for the energy certification of buildings). Latvijas Vēstnesis 2021:72. (in Latvian) Search in Google Scholar

[11] Directive (EU) 2018/844 of the European Parliament and of the Council of 30 May 2018 amending Directive 2010/31/EU on the energy performance of buildings and Directive 2012/27/EU on energy efficiency (Text with EEA relevance). Official Journal of European Union 2018:L 156/75. Search in Google Scholar

[12] D’Agostino D., Parker D. A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe. Energy 2018:149:814–829. https://doi.org/10.1016/j.energy.2018.02.02010.1016/j.energy.2018.02.020 Search in Google Scholar

[13] Lu Y., et al. Robust optimal design of renewable energy system in nearly/net zero energy buildings under uncertainties. Applied Energy 2017:187:62–71. https://doi.org/10.1016/j.apenergy.2016.11.04210.1016/j.apenergy.2016.11.042 Search in Google Scholar

[14] Schuetz P., et al. Automated modelling of residential buildings and heating systems based on smart grid monitoring data. Energy and Buildings 2020:229:110453. https://doi.org/10.1016/j.enbuild.2020.11045310.1016/j.enbuild.2020.110453 Search in Google Scholar

[15] Li W., et al. Stepwise calibration for residential building thermal performance model using hourly heat consumption data. Energy and Buildings 2018:181:10–25. https://doi.org/10.1016/j.enbuild.2018.10.00110.1016/j.enbuild.2018.10.001 Search in Google Scholar

[16] Sakiyama N. R. M., et al. Dataset of the EnergyPlus model used in the assessment of natural ventilation potential through building simulation. Data in Brief 2021:34:106753. https://doi.org/10.1016/j.dib.2021.10675310.1016/j.dib.2021.106753 Search in Google Scholar

[17] Mazzeo D., et al. EnergyPlus, IDA ICE and TRNSYS predictive simulation accuracy for building thermal behaviour evaluation by using an experimental campaign in solar test boxes with and without a PCM module. Energy and Buildings 2020:212:109812. https://doi.org/10.1016/j.enbuild.2020.10981210.1016/j.enbuild.2020.109812 Search in Google Scholar

[18] Evangelisti L., et al. In situ thermal characterization of existing buildings aiming at NZEB standard: A methodological approach. Development in the Built Environment 2020:2:100008. https://doi.org/10.1016/j.dibe.2020.10000810.1016/j.dibe.2020.100008 Search in Google Scholar

[19] Dias Pereira L., et al. Teaching and researching the indoor environment: From traditional experimental techniques towards web-enabled practices. Sustainable Cities and Society 2016:26:543–554. https://doi.org/10.1016/j.scs.2016.03.00810.1016/j.scs.2016.03.008 Search in Google Scholar

[20] Etxebarria M., et al. Relationship between energy demand, indoor thermal behaviour and temperature-related health risk concerning passive energy refurbishment interventions. Environmental and Climate Technology 2020:24:348–363. https://doi.org/10.2478/rtuect-2020-007810.2478/rtuect-2020-0078 Search in Google Scholar

[21] Guo S., et al. A novel approach for selecting typical hot-year (THY) weather data. Applied Energy 2019:242:1634–1648. https://doi.org/10.1016/j.apenergy.2019.03.06510.1016/j.apenergy.2019.03.065 Search in Google Scholar

[22] Moazami A., et al. Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions. Applied Energy 2019:238:696–720. https://doi.org/10.1016/j.apenergy.2019.01.08510.1016/j.apenergy.2019.01.085 Search in Google Scholar

[23] Lombardo W., et al. A CCHP system based on ORC cogenerator and adsorption chiller experimental prototypes: Energy and economic analysis for NZEB applications. Applied Thermal Engineering 2021:183(2):116119. doi.org/10.1016/j.applthermaleng.2020.11611910.1016/j.applthermaleng.2020.116119 Search in Google Scholar

[24] Ciardiello A., et al. Multi-objective approach to the optimization of shape and envelope in building energy design. Applied Energy 2020:280:115984. https://doi.org/10.1016/j.apenergy.2020.11598410.1016/j.apenergy.2020.115984 Search in Google Scholar

[25] Rusovs D., Jaundālders S., Stanka P. Design and application of sensitive thermal energy storage from concrete. IOP Conference Series: Materials Science and Engineering 2019:660:012077. https://doi.org/10.1088/1757-899X/660/1/01207710.1088/1757-899X/660/1/012077 Search in Google Scholar

[26] Al Dakheel J., et al. Smart buildings features and key performance indicators: A review. Sustainable Cities and Society 2020:61:102328. https://doi.org/10.1016/j.scs.2020.10232810.1016/j.scs.2020.102328 Search in Google Scholar

[27] Zhang D., Shah N., Papageorgiou L. G.Efficient energy consumption and operation management in a smart building with microgrid. Energy Conversion and Management 2013:74:209–222. https://doi.org/10.1016/j.enconman.2013.04.03810.1016/j.enconman.2013.04.038 Search in Google Scholar

[28] Travesi J., Maxwell G., Klaassen C. Empirical Validation of Iowa Energy Resource Station Building Energy Analysis Simulation Models. Paris: IEA, 2001. Search in Google Scholar

[29] Kropf S., Zweifel G. Validation of the Building Simulation Program IDA-ICE According to CEN 13791„Thermal Performance of Buildings – Calculation of Internal Temperatures of a Room in Summer Without Mechanical Cooling - General Criteria and Validation Procedures. Horw: Hochschule Luzern – Technik & Architektur, 2001. Search in Google Scholar

[30] Cabinet of Ministers Republic of Latvia. Ministru kabineta noteikumi Nr.310 – Noteikumi par Latvijas būvnormatīvu LBN 231-15 ‘Dzīvojamo un publisko ēku apkure un ventilācija’ (Cabinet Regulation No. 310 - Regulations on the Latvian Construction Standard LBN 231-15 ‘Heating and Ventilation of Residential and Public Buildings’). Latvijas Vēstnesis 2015:119. (in Latvian) Search in Google Scholar

[31] The Engineering ToolBox. Metabolic Heat Gain from Persons [Online]. [Accessed 24.08.2021]. Available: https://www.engineeringtoolbox.com/metabolic-heat-persons-d_706.html Search in Google Scholar

[32] JSC Augstsprieguma tikls. In Brief [Online]. [Accessed 11.11.2021]. Available: https://ast.lv/en/content/brief Search in Google Scholar

[33] LĪGUMS jaudas rezervju nodrošināšana Latvijas Republikas elektroenerģijas sistēmas drošumam (Agreement on provision of capacity reserves for the security of the electricity system of the Republic of Latvia). [Online]. [Accessed Search in Google Scholar

20.08.2021]. Available: https://www.ast.lv/sites/default/files/purchase_contracts/JAUDASREZERVES_Ligums_Latvenergo_publicesanai_2018.pdf (in Latvian) Search in Google Scholar

[34] Saeima. Electricity Market Law. Latvijas Vēstnesis 2005:82. Search in Google Scholar

[35] JSC Augstsprieguma tikls Balance responsibility and imbalance [Online]. [Accessed 20.08.2021]. Available: https://ast.lv/en/content/balance-responsibility-and-imbalance Search in Google Scholar

[36] Microgrids – What Are They and How Do They Work? [Online]. [Accessed 24.08.2021]. Available: https://nsci.ca/2019/11/08/microgrids-what-are-they-and-how-do-they-work/ Search in Google Scholar

Artículos recomendados de Trend MD

Planifique su conferencia remota con Sciendo