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Heat demand model for district heating simulation [PDF]
MATEC Web of Conferences, 2018 Demand for affordable and sustainable energy is growing. Even though the technology of construction and insulation of buildings is continuously improving, heating is still a significant issue for large part of Europe.
Dolinay Viliam +4 more
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Enabling Demand Side Management: Heat Demand Forecasting at City Level [PDF]
Materials, 2019 Petri Hietaharju +2 more
exaly +2 more sources
Energies, 2022 Excess heat can make an important contribution to reduce greenhouse gas emissions in the heating and cooling sector. Due to the local character of heat, the local excess heat potential is decisive for using excess heat. However, the spatially distributed
Markus Fritz +2 more
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HEAT DEMAND FOR HEATING APARTMENT BUILDINGS [PDF]
Statyba, 2000 Summary In this paper the results of statistic analysis of heat consumption in apartment heating systems for Lithuania are discussed. Kaunas district heating system data are used for the analysis. Total sum of buildings involved is about 1900, including 1550 with the average heated area of 4000 m2.
J. Karbauskaitė, V. Stankevičius
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Automated Generation of an Energy Simulation Model for an Existing Building from UAV Imagery
Buildings, 2021 An approach to automatically generate a dynamic energy simulation model in Modelica for a single existing building is presented. It aims at collecting data about the status quo in the preparation of energy retrofits with low effort and costs.
Philip Gorzalka +3 more
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Passive Cooling Solutions to Improve Thermal Comfort in Polish Dwellings
Energies, 2021 The household sector in Poland consumes more than 25% of final energy. At the same time, residents reported dissatisfaction with the thermal conditions during the summer months.
Joanna Ferdyn-Grygierek +9 more
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District-Heating-Grid Simulation in Python: DiGriPy
Computation, 2021 DiGriPy is a newly developed Python tool for the simulation of district heating networks published as open-source software in GitHub and offered as a Python package on PyPI. It enables the user to easily build a network model, run large-scale demand time
Lena Vorspel, Jens Bücker
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Analysis of Indoor Air Quality in a Kindergarten
Slovak Journal of Civil Engineering, 2023 Today in addition to the design of structures, layout solutions, and the design of suitable materials, the modern construction industry also addresses meeting the requirements for the energy performance of a building, with which the topic of the quality ...
Stiborova Petra +2 more
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Heat Demand Forecasting for Local District Heating [PDF]
IE interfaces, 2011 High level of accuracy in forecasting heat demand of each district is required for operating and managing the district heating efficiently. Heat demand has a close connection with the demands of the previous days and the temperature, general demand forecasting methods may be used forecast. However, there are some exceptional situations to apply general
Ki-Burm Song +4 more
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The demand for information: More heat than light [PDF]
Journal of Economic Theory, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jussi Keppo +2 more
openaire +3 more sources