Results 21 to 30 of about 189,544 (307)
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
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Cargo Ships’ Heat Demand - Operational Experiment
Polish Maritime Research, 2020 The paper presents the results of an experiment conducted on two cargo ships – a 5300 TEU container with a steam heating system and a 7500 dwt general cargo ship with a thermal oil system.
Bocheński Damian, Kreft Dominik
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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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Assessing demand response in district heating with waste-heat utilization
Sustainable Cities and SocietyBrage Rugstad Knudsen +2 more
exaly +2 more sources
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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Heat demand uncertainty evaluation of typical multiâ€flat panel building
Journal of Civil Engineering and Management, 2006 Heat consumption of similar buildings under the same climatic conditions normally shows different values. This phenomenon has not been adequately explored yet.
Egle Jaraminiene, Egidijus Juodis
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PyHeatDemand - Processing Tool for Heat Demand Data
Journal of Open Source SoftwarePyHeatDemand is an open-source Python package for processing and harmonizing multi-scalemulti-type heat demand input data for constructing local to transnational harmonized heat demand maps (rasters). Knowledge about the heat demand in megawatt hours per
Alexander Jüstel, Frank Strozyk
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District Heating Expansion Potential with Low-Temperature and End-Use Heat Savings
Energies, 2018 District heating has the potential to play a key role in the transition towards a renewable energy system. However, the development towards reduced heat demands threatens the feasibility of district heating.
Steffen Nielsen, Lars Grundahl
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Model for Determining Geographical Distribution of Heat Saving Potentials in Danish Building Stock
ISPRS International Journal of Geo-Information, 2014 Since the global oil crisis in the 1970s, Denmark has followed a path towards energy independency by continuously improving its energy efficiency and energy conservation.
Stefan Petrovic, Kenneth Karlsson
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